Sanitär- und Kommunaltechnik; Umwelttechnik
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Black microcolonial fungi (MCF) are persistent inhabitants of rock surfaces in hostile desert environments. In these niches, MCF have evolved mineral-weathering and symbiotic capabilities as well as mechanisms to cope with multiple stresses such as solar irradiation, temperature extremes and low water activity. Due to their stress tolerance these ascomycetes are prominent in modern terrestrial ecosystems – like man-made material surfaces from roof to solar panels. MCF interactive capabilities support their facultative symbiotic relationships with cyanobacteria and ensure their rock-weathering geochemical activity.
Using the rock-inhabiting fungus K. petricola A95 (Chaetothyriales), we developed transformation protocols and deleted genes responsible for production of the protective pigments melanins and carotenoids. To confirm that the mutant phenotypes were not due to hidden mutations, melanin synthesis was restored by complementing the mutants with the respective wild type genes. Strains of K. petricola carrying gene variants for fluorescent proteins EGFP and DsRed are available. We successfully labelled the cytoplasm, nuclei, peroxisomes and mitochondria. Targeted and ectopic integrations result in stable transformants suitable for further phenotypical characterization. As K. petricola is a non-pathogenic fungus with all characteristic features of MCF, including meristematic growth, melanized cell-walls, extracellular polymeric substances and extensive pigment production, our results will shed light on protective role of pigments during cell wall maturation and oxidative stress defence in rock-inhabiting MCF. Genes involved in environmental sensing or substrate and phototroph interactions are currently targeted. With the help of a mutant collection and fluorescently labelled K. petricola we will be able to investigate interactions of MCF with environmental stressors, mineral substrates, soil matrices and phototrophic symbionts.
Pot experiments are often performed to analyze the plant-availability of phosphorus (P) in P-fertilizers. However, these experiments do not determine the P compounds present in the soil which are responsible for the yield increase. In order to better understand the results of pot experiments we analyzed the soils by P K-edge X-ray absorption near-edge structure (XANES) spectroscopy to determine the P species and unravel transformation processes. We carried out pot experiments with maize testing different waste water derived recycling P-fertilizers on an acidic and a neutral soil. Soils samples before sowing and after harvest were collected and prepared for analysis. A combination of macro- and µ-XANES spectroscopy was used to determine the chemical state of the overall soil P and to identify P compounds in P-rich spots localized by micro-X-ray fluorescence (µ-XRF). P K-edge macro-XANES spectroscopy detected organic P and/or P sorbed onto organic matter or other substrates in the unfertilized and fertilized soils. In addition, µ-XRF mapping in combination with P K-edge µ-XANES spectroscopy evidenced that some P phases present in recycling P-fertilizers (magnesium phosphate and calcium sodium phosphate) react with co-fertilized ammonium nitrate and form highly plant-available ammonium phosphates in the soil. In opposite, apatites were not affected by the presence of ammonium. Thus, for a boost of the plant-availability of P in recycling P-fertilizers these fertilizers should be directly co-fertilized with nitrogen (N) sources that contain a high amount of ammonium instead of nitrate. Possibly, a specific preparation of NP-fertilizers by granulation of recycling P-fertilizers with ammonium compounds and a nitrification inhibitor could enhance the plant-availability of the produced fertilizer whereby they become more competitive to commercially available NP-fertilizers based on phosphate rock.
The project “Intelligence for Soil” (I4S) aims at the design of an integrated system for improvement of soil functions and fertilizer recommendations. This system is composed by different sensors that will provide a detailed assessment of soil properties and processes, which are prerequisites for a site-specific, resource-saving and ecofriendly soil management, considering the soil as a sustainable resource for the bioeconomy. One of these sensors will be an energy-dispersive X-Ray Fluorescence spectrometer. It is a non-destructive technique suitable for in-situ measurements due to a minimum sample preparation and it allows fast multielement analyses. In this work, an automatic system has been developed using a handheld equipment from Olympus (Vanta C series). A polypropylene (PP) film was used to protect the measuring window of the device from dust and possible cross-contamination. To control the stepper motor that unrolls the PP film, a microcontroller was used to ensure that a piece of clean PP is in front of the measuring window for each new analysis.
Preliminary calibration studies using pre-defined methods, Geochem and Soil Methods, were performed with the following Certified Reference Materials (CRMs): NRC Till 1-3, NIST 2710, BAM U110, ERM CC141, BCR 142R, IAEA Soil 7. The CRMs were measured 10 times at different spots. The spot size was 10 mm in diameter, irradiation time was 60 ? s. The averaged data from X ray characteristic emission line intensities for Al, P, Si, Ca, Fe, Mn, Zn, Cu and Ni Kα were in close agreement with certified mass fraction data. The linear correlation coefficients (r) ranged from 0.852 for P to 0.999 for Mn. A second round of calibration studies were performed with the following CRMs: GBW07402, GBW 07405, NCS DC 73023, NCS DC 73030, NCS DC 85109, NCS DC 87104, NIST 1646a, NIST 2704, NIST 2710, NRC Till 1-3, VS 2498-83, and the same pre-defined methods and experimental parameters were employed. The results of the 13 CRMs were now compared with the values obtained by a validated WDXRF method. The linear correlation coefficients (r) ranged from 0.998 for Ca to 0.999 for Zn. Other elements such as S, K and Ti can also be properly determined, but validation still requires more robust calibration models.
Further calibration studies will be performed in order to circumvent matrix effects and to guarantee reliable results. Besides that, the automatic system will be placed on a mobile sensor platform and the system will be tested in the field. A guidance for on site-specific fertilization integrating the results obtained from different sensors placed on the platform is expected.
Carbamazepine (CBZ) and cetirizine (CTZ) are pharmaceutical drugs detected in the aquatic environment. However, the effects to marine invertebrates derived from the combination of these drugs with decreased pH conditions due to ocean acidification are poorly explored. This study investigated the biochemical parameters related to metabolic capacity and oxidative stress response and the transcription of genes related to the mode of action (MoA) of CBZ (1.0 μg/L) and CTZ (0.6 μg/L) in the clam Ruditapes philippinarum chronically exposed (28 days) to control (7.8) and low (7.5) pH conditions. The biochemical parameters applied were: the activity of electron transport system (indicator of organisms’ metabolic capacity); lipid peroxidation content (indicator of cell damage); total glutathione peroxidase activity (indicator of antioxidant defense). The transcription of genes related with drug neurotransmission and metabolism, cell defense and immunity and biomineralization was studied. No metabolic changes and oxidative stress was induced by the exposure to CBZ or CTZ at each pH level, but the transcription of several genes related with the MoA (neurotransmission, immunity and biomineralization) was altered by low pH, drug exposure and the combination of both stressors. In conclusion, it was shown that the interaction of drug exposure and low pH conditions can change bivalves’ sensitivity to drugs or alter drugs toxicity.
In den Umweltmedien Wasser, Boden und Luft wird Mikroplastik (MP) gefunden. Mögliche Eintragspfade, besonders Einträge über den Klarlauf kommunaler Klärwerke, sind unklar. Dazu wurde das Klärwerk Ruhleben in Berlin an jeweils vier Tagen im Sommer- und Winterbetrieb beprobt. Es wurde jeweils 1 m3 Klarlauf fraktioniert filtriert (500, 100 und 50 µm Siebe). Weiterhin wurde Rohabwasser exemplarisch untersucht. Als Analyse-methoden wurden die TED-GC-MS und die FTIR Mikroskopie verwendet.
Bei der TED-GC-MS wird die Probe zunächst thermisch extrahiert, bevor die charakteristischen Zersetzungsgase mittels einer GC-Säule getrennt und im MS detektiert werden [1,2]. Es ist hier erstmals gelungen, nicht nur das MP zu identi-fizieren, sondern auch eine Massenbilanz zu erstellen und so eine quantitative Auswertung vorzunehmen. Es wurde PE, PS ganzjährig und PP im Sommer gefunden. Das Klärwerk Ruhleben hat einen Rückhalt an MP von 99%.
Microbiologically influenced corrosion is a multidisciplinary research area. To develop successful mitigation strategies, expertise from the industry and research institutes are essential. In Department 4.1, we developed an innovative laboratory flow model (Hi-Tension) that allows effective monitoring of MIC under both standard and non-standard conditions. The flow model allows flexibility with material selection, flow rates, temperature and other environmental parameters changes. Furthermore, the flow model allows integration of electrochemical measurements using microsensors, providing a comprehensive view of corrosion at the biofilm level. Currently, initial results indicate corrosion in the flow model is significantly higher than that of standard laboratory set ups, i.e. static incubations, particularly for methane-producing microorganisms.
Highly selective and sensitive antibodies are only available for a limited number of small molecules. Hence the development of new antibodies is important to exploit the full potential of immunoanalytics. Small molecules do not elicit an immune response in mammals unless conjugated to carrier molecules. The choice of the structures to be conjugated, called haptens, is critical for the antibody production. Here we present our Approach to produce antibodies for the plasticizer diisononyl 1,2-cyclehexane-dicarboxylic acid (DINCH) and di-2-ethylhexyl terephthalate (DEHT) as well as the bile acid isolithocholic acid (ILA).
Brominated flame retardants have widely been used for more than 50 years and have been frequently detected in environmental samples as surface water and fish. Leaching from construction products was identified as one possible source. The use of substances as e.g. hexabromocyclododecane (HBCCD) was restricted recently due to increasing concern about negative impacts on the environment and human health caused by the persistent, bio accumulative and toxic properties. New polymeric brominated flame retardants have been developed to replace HBCCD in expanded polystyrene (XPS), which is used for insulation of buildings. It is assumed that the release from the polymer is much smaller in comparison to release of small molecules as HBCCD. The release from the polymer may include monomers or small fragments of different size. Thus, a sum parameter is needed. According to Schlummer et al. it is possible to detect brominated molecules using X-ray fluorescence spectroscopy by determination of brome content in XPS extracts. As only small brominated compounds can be extracted it also allows for the differentiation between the two classes of compounds. This method was applied to verify the presence of different kinds of flame retardants in XPS samples and to evaluate the leaching behavior.
Leachiing tests - a useful tool for the environmental impact assessment of construction products?
(2018)
Construction products and waste materials used for construction can be in contact with the environment and may release potential harmful compounds. Information on the total content of these substances in the product is not sufficient to assess its envrionmental impact since it does not consider realistic exposure conditions.The impact of these compounds is often assessed by using the total content in the product. This estimation lacks realistic exposure conditions.
Concerning the pathway to soil and groundwater by contact with rain or seepage water leaching tests, which were developed and standardized by the European Committee for Standardization, are available. While for secondary construction products and waste this investigation of the leaching behaviour is standard procedure and is already part of regulation in Germany (draft ordinance on reuse of mineral waste) and within Europe (landfill directive) the release from primary construction products got in the focus more recently. Several monitoring studies found unexpected high concentrations of substances used as herbicides and fungicides in surface water and stormwater originating from urban areas. As some of these compounds are even banned for the use in agricultural applications in Europe alternative sources as roof materials and façade coatings exposed to rain were suggested. Further field and laboratory tests confirmed construction products as sources of these substances in water.
The aim of this presentation is to show exemplary results of existing leaching methods and underline the strength and weaknesses of the test system with selected examples from our work. We especially draw the attention to the research which is still needed to close the gap between the results of leaching experiments and the subsequent risk assessment of the products.
NSO-Heterocyclen (NSO-H) finden sich zusammen mit polycyklischen aromatischen Kohlenwasserstoffen (PAK) überwiegend an Teer- und Teeröl kontaminierten Standorten
im Boden und Grundwasser.
NSO-H sind ähnlich toxisch wie PAK, aber polarer und damit hydrophiler. Da NSO-H an kontaminierten Standorten lediglich einen geringen Anteil des Schadstoffinventars
ausmachen, wurde ihnen in der Vergangenheit wenig Aufmerksamkeit zuteil und sie werden im Gegensatz zu PAK nicht routinemäßig erfasst.
Aufgrund ihrer teilweise ausgeprägten Persistenz und der vergleichsweisen guten Wasserlöslichkeit bilden sie trotz der eher geringen Anfangskonzentrationen große
Schadstofffahnen mit geringen Konzentrationen aus. Mikrobielle Abbauprozesse bewirken dabei im Verlauf der Fahne Veränderungen der Anteile der Einzelsubstanzen
zueinander. In der Nähe des Schadensherdes dominieren meist PAK, im Abstrom sinkt deren Konzentration allerdings schneller, so dass hier die NSO-H die dominierende Schadstoffgruppe darstellen. Auf Grund des unterschiedlichen Abbauverhaltens kann die NSO-HBelastung
über den PAK Summenparameter nicht zuverlässig bestimmt werden.
Reaktive Brandschutzbeschichtungen bilden im Brandfall zum Schutz der Stahlträger einen wärmeisolierenden Schaum. Die Systeme beinhalten üblicherweise eine Grundierung, die reaktive Beschichtung und einen Deckanstrich. Jeder Bestandteil enthält eine komplexe Mischung aus verschiedenen Chemikalien wie Additiven, Füllstoffen und Lösungsmitteln, die bei Außenanwendungen in Kontakt mit Regenwasser freigesetzt werden können und negative Auswirkungen auf die Umwelt haben können. Bisher basiert die Bewertung durch das DIBt lediglich auf der Rezeptur der Beschichtungen. Erfahrungen aus dem Bodenschutz oder der Abfallverwertung zeigen, dass Gesamtgehalte alleine für eine Bewertung nicht ausreichen. Die durch Wasser mobilisierbaren Anteile werden mit Elutionsverfahren bestimmt. Ziel der vorgestellten Studie war es, die Eignung von Elutionsverfahren in Kombination mit Ökotoxizitätstests zur Beurteilung der Umweltgefährdung zu untersuchen.
Fluorescence based sensing is a versatile approach for the trace analysis outside of the laboratory, requiring suitable sensor materials and their integration into sensing devices. The versatility of fluorophores as probes, especially in terms of the possibility to tailor their optical as well as their recognition properties by synthetic modifications in a wide range, renders them a superior active component for the preparation of optical sensor devices. Recent works at BAM in this field include, for example, the detection of nerve gas agents, illustrating impressively the aforementioned benefits of fluorophores in optical sensing applications.
In the interdisciplinary approach presented here, we target hazardous gases such as ammonia, benzene, and hydrogen sulfide, next to others, which pose a major threat to human health and environmental safety and for which the availability of a sensitive and reliable detection method is highly desirable.
The dyes presented follow a “turn-on” fluorescence schematic which allows for the selective and sensitive detection of the respective gaseous analyte. The immobilization of the probe in polymeric matrices is then the next step toward the fabrication of a prototype device for molecular sensing.
A 400 m² soil test field with gas injection system was built up, which enables an experimental validation of linear gas sensors for specific applications and gases in an application-relevant scale. Several injection and soil watering experiments with carbon dioxide (CO2) at different days with varying boundary conditions were performed indicating the potential of the method for, e.g., rapid leakage detection with respect to Carbon Capture and Storage (CCS) issues.
In the KonSens Project, sensor systems are developed, validated, and operated in form of functional models for the application areas Structure Integrated Sensors and Mobile Multi-gas Sensors. Key aspects are the detection and evaluation of corrosion processes in reinforced concrete structures as well as the detection and quantification of very low concentrations of toxic gases in air. The adaption of sensor principles from the lab into real-life application including appropriate communication techniques is a major task.
In recent years, Structural Health Monitoring have gained in importance, since growing age of buildings and infrastructure as well as increasing load requirements demand for reliable surveillance methods. In this regard, the project follows two strategies: First, the development and implementation of completely embedded sensor systems consisting of RFID-tag and in situ sensors, and their further application potential (e.g. for precast concrete elements, roadways, wind power plants, and maritime structures). Secondly, the development of a long-term stable, miniaturized, fiber optic sensor for a ratiometric and referenced measurement of the pH-value in concrete based on fluorescence detection as an indicator for carbonation and corrosion.
Environmental pollution through emission of toxic gases becomes an increasing problem not only in agriculture (e.g. biogas plants) and industry but also in urban areas. This leads to increasing demand to monitor environmental emissions as well as ambient air and industrial air components in many scenarios and in even lower concentrations than nowadays. The selectivity of luminescence-based sensors is enabled by the combination of the sensing dye and the material, which is used as accumulation medium for concentration of the analyte. This principle allows for developing gas sensors with high selectivity and sensitivity of defined substances. Additional benefits, particularly of fluorescence-based sensors, are their capability for miniaturization and potential multiplex mode. Objective is the development and implementation of sensors based on fluorescence detection for defined toxic gases (ammonia, hydrogen sulfide, ozone, and benzene) with sensitivity in the low ppm or even ppb range. Additionally, the integration of such sensors in mobile sensor devices is addressed.
Innovation is the catalyst for the technology of the future. It is important to develop new and better technologies that can continuously monitor the environmental impact, e.g., for air Quality control or emission detection. In the recently at BAM developed Universal Pump Sensor Control (UPSC3) module, different components and sensors are fused. The combination of the individual components makes the UPSC3 module an excellent monitoring and reference system for the development and characterization of gas specific sensors. Measurements over long periods are possible, for mixed gas loads or for certain gas measurements. The System is part of a mobile sensor network of several sensor units, which can also be used as standalone systems.
Ein Vergleich der Gehalte von Difluoressigsäure (DFA) und Trifluoressigsäure (TFA) in Regen- und Oberflächenwässern im Berliner Raum ergab ein TFA/DFA Verhältnis in Regenwasser von 10:1. Im Gegensatz dazu wies Grundwasser aus dem Einzugsbereich einer historischen Kontamination durch Fluorchlorkohlenwasserstoffe (FCKW) ein TFA/DFA-Verhältnis von 1:3 auf. Dies und die ungewöhnlich hohe DFA-Konzentration an dieser Stelle wird vor dem Hintergrund der beobachteten mikrobiellen Abbauprodukte des ursprünglichen eingetragenen FCKW 1,1,2-Trichlor-1,2,2-trifluorethan (R113) diskutiert. Eine mikrobielle Umwandlung des bekannten Abbauproduktes Chlortrifluorethylen (R1113) zur DFA wurde bislang nicht in Umweltkompartimenten beobachtet und wird hier auf Basis bekannter Stoffwechselwege vorgeschlagen.
TFA wurde in Regenwasser, Oberflächenwasser und Grundwasser in vergleichbaren Größenordnungen von ca. 500 ng/L bestimmt. Im Gegensatz dazu wurde DFA in Grundwasserproben im Bereich der Schadstoffquelle der FCKW-Kontamination mit bis zu 2.000 ng/L nachgewiesen. Die Summe von TFA und DFA im Grundwasser korreliert nicht mit dem Eintrag aus Niederschlag und Oberflächenwasser. Darum liegt die Vermutung nahe, dass es für DFA andere Quellen als den direkten Eintrag oder den möglichen Abbauweg über TFA geben muss. DFA ist vermutlich ein Abbauprodukt von R1113. FCKWs, die im ersten Abbauschritt zu 1,1-Difluorethenen metabolisieren, stehen im Verdacht, in der Folge zu DFA zu hydrolysieren. Entscheidend scheint, dass bereits im Ausgangsprodukt ein CF2-Strukturelement enthalten ist, das dann zur Bildung von DFA führen kann. Somit würde aus dem ursprünglichen Eintrag des Kältemittels R113 über schrittweise Dechlorierung via 1,2-Dichlor-1,2,2-Trifluorethan (R123a) und R1113 die Bildung des beobachteten DFA folgen. Es ist also sinnvoll, DFA in die Diskussion zur Regulierung der Endprodukte des Abbaus fluorhaltiger Kälte- oder Lösungsmittel einzubeziehen. Die Ergebnisse wurden im Normausschuss Wasserwesen (NAW) des DIN vorgestellt und es soll ein Arbeitskreis gegründet werden, der ein Normverfahren zur Quantifizierung von TFA und DFA in Wasser erarbeitet. Interessierte Laboratorien sind herzlich eingeladen, die Normungsarbeit zu unterstützen.
The pollution of marine, limnic and terrestrial environments with plastic waste and the potential impact especially on biota and humans has received increasing attention in recent years. Special focus is on particles smaller than 5 mm, the so-called microplastics. Consequently, possible regulations of emission and remediation efforts require sound information on the occurrence and fate of microplastics in the respective environmental compartments.
Microplastics (MP) differ from classical organic pollutants in biota or the environment in that they do not consist of clearly defined low-molecular weight compounds but of polymer particulates with varying sizes and chemical compositions. This leads to specific challenges regarding the analytical techniques to be employed for their identification and quantification.
Microplastics are defined as polymer particle in the size range between 1 µm and 5 mm and cover a wide range of polymers such as polyethylene, polypropylene, polystyrene and polyethylene terephthalate in variable geometric shapes. Properties relevant for environmental microplastics are polymer type, particle form and size distribution, surface morphology (aging status) and total mass fraction contained in a given sample. Polymer identification and particle size estimation using optical methods (IR and Raman spectroscopy) are time consuming and complicated by surface characteristics as a result of weathering, soiling, and microbial colonisation. Total mass fractions of MP in environmental samples can be determined by thermo-analytical methods.
There are currently no standardised methods for sampling, sampling preparation, or detection of MP in environmental samples. So far, qualitative and quantitative investigations are done by research institutes and have not reached the routine laboratory community. The near future will see harmonisation efforts of MP mass fraction determination in environmental matrices by thermo-analytical procedures.
The immediate need for reference materials during method development and comparison is outlined with regard to relevant matrix/polymer compositions, existing regulations and currently achievable detection limits. Examples for solid environmental matrix reference materials are discussed regarding the challenges encountered with matrices and polymer types as well as homogeneity testing and property value characterisation.
For mobile robots that operate in complex, uncontrolled environments, estimating air flow models can be of great importance. Aerial robots use air flow models to plan optimal navigation paths and to avoid turbulence-ridden areas. Search and rescue platforms use air flow models to infer the location of gas leaks. Environmental monitoring robots enrich pollution distribution maps by integrating the information conveyed by an air flow model. In this paper, we present an air flow modelling algorithm that uses wind data collected at a sparse number of locations to estimate joint probability distributions over wind speed and direction at given query locations. The algorithm uses a novel extrapolation approach that models the air flow as a linear combination of laminar and turbulent components. We evaluated the prediction capabilities of our algorithm with data collected with an aerial robot during several exploration runs. The results show that our algorithm has a high degree of stability with respect to parameter selection while outperforming conventional extrapolation approaches. In addition, we applied our proposed approach in an industrial application, where the characterization of a ventilation system is supported by a ground mobile robot. We compared multiple air flow maps recorded over several months by estimating stability maps using the Kullback-Leibler divergence between the distributions. The results show that, despite local differences, similar air flow patterns prevail over time. Moreover, we corroborated the validity of our results with knowledge from human experts.
Surfaces of metallic copper and copper alloys effectively inactivate microorganisms and viruses. However, the exact inactivation mode is still under debate. Main factors are assumed to include direct contact with the metallic surface, influx of Cu(I)/Cu(II) ions and the generation of reactive oxygen species (ROS). Laser-induced periodic surface structures (LIPSS) are frequently reported to act antibacterial, mainly by prevention of bacterial adhesion due to a limited number of possible adhesion points or by increasing the overall surface of intrinsically antibacterial materials. In time-kill experiments with E. coli and S. aureus we analyzed the impact of LIPSS on the toxicity of metallic copper and brass. We also conducted ROS accumulation assays and conclude that the application of LIPSS is not generally straight forward to obtain or improve antibacterial surfaces. Thus, the antibacterial effects of LIPPS.
Zearalenone (ZEN) and its metabolites such as the phase II sulfate and glucoside conjugates have been detected in food and feed commodities1. In addition to these naturally occurring ZEN conjugates, food fermentation by fungi may also lead to conjugate formation. Fungal strains of the genera Rhizopus and Aspergillus are used in tempeh fermentation, and it is known that some strains can conjugate ZEN2. Moreover, during this process the reductive phase I metabolites α- and β-zearalenol (α-/β-ZEL) and their conjugates are formed by the same microorganisms in vitro. As the conjugates can be hydrolysed by human intestinal microbiota, also sulfates and glucosides represent a relevant source for the human exposure to ZEN. If the unprocessed grains for tempeh fermentation like soybeans and/or maize are contaminated with ZEN, upon analysis ZEN content of the final tempeh product may be underestimated, because ZEN has been conjugated during food processing. Very recently, the EU-CONTAM Panel found it appropriate to set a group tolerable daily intake (TDI) expressed as ZEN equivalents for ZEN and its modified forms (phase I and phase II metabolites)3.
In this study a total of 70 strains of fungal species commonly found in tempeh fermentation were screened for ZEN metabolite formation in vitro. The fungal strains were isolated from inocula or fresh tempeh from different tempeh producers and market areas in Indonesia. ZEN (c = 0.3 µM) was added to liquid cultures of the fungi. After two days of incubation the media were analyzed for metabolite formation by HPLC-MS/MS. The conjugate formation varied with the fungal strain. In most cultures ZEN-14-sulfate was the major metabolite accompanied by rapid disappearance of ZEN; also, formation of α- and β-ZEL, ZEN-16-glucoside and two ZEL-sulfates has been observed.
The in vitro-screening showed that fungal strains used in tempeh fermentation have the potential for ZEN conversion leading to ZEN and ZEL conjugate formation. Therefore, reference substances of ZEN conjugates are urgently needed for monitoring food safety of tempeh and other fermented products manufactured from grains that can be contaminated with ZEN.
One criterion to evaluate the odour of a sample is perceived
intensity П which is evaluated with the aid of a comparative scale. The procedure is well accepted but also time consuming and extensive. The study should help simplify the testing procedure by asking the panel members to only indicate whether a sample is perceived as less to equally intense or of greater intensity in comparison to a given acetone concentration of 7 pi on the comparative scale. In Germany a value of 7 pi is required for products to be suitable for the indoor use. The results show that the simplified test is basically suitable.
Soil acts as a final sink for pollutants. Microplastics from different sources such as plastic mulching, littering, compost, sewage sludge, sedimentary deposition, and tyre abrasion are expected to be found in soil. However, representative and comprehensive information is missing on the sources, transport, and fate. Therefore, a reliable analysis method for microplastics in soils needs to be developed.
The presented work describes the development of a procedure for microplastics analysis in soils. A representative sampling based on the on-site conditions and a sample preparation method was established and comprised of a drying step, the separation of microplastic particles > 1 mm, and a density separation for particles < 1 mm. The detection of the large microplastic particles (> 1 mm) was conducted with Attenuated Total Reflection - Fourier Transform infrared Spectroscopy (ATR-FTIR) , while Thermal Extraction Desorption - Gas Chromatography / Mass Spectrometry (TED-GC/MS) was applied for particles < 1 mm, gaining information on the type of polymer and mass fraction. Based on the established method, 14 environmental soil samples ? with different exposure of microplastics from agriculture, industrial sites, roads, and floods were investigated.
Due to the arbitrary microplastic particle distribution among the samples for large microplastics, it was reasoned that the found particles were unrepresentative. In contrast, microplastic particles < 1 mm were discovered in a high mass in soil samples exposed to plastic mulching or fertilization with sewage sludge or compost (0 – 115 mg/kg). On average, microplastic contents detected in soil samples taken from a construction site and an inner-city lake were higher (13 – 238 mg/kg). As expected, microplastic content in soil sampled in proximity to roads was more pronounced in the upper soil layers. In contrast, very remote sampling sites, expectably uncontaminated, did not lead to the detection of microplastic regarding to thermoanalytical detection method.
In a proof of concept experiment several in vivo and in vitro ecotoxicological tests were applied to evaluate the effect of microplastics (tyre abrasion, polystyrene containing hexabromocyclododecane) in natural soils. In summary, while no effects of the examined probes could be detected on higher levels of biological organization after exposures to earthworm E. andrei, significant changes in several oxidative stress related biomarkers were observed.
The role of c-di-GMP in biofilm formation of the filamentous cyanobacterium Nostoc punctiforme
(2016)
The signaling molecule c-di-GMP is a ubiquitous second messenger in bacterial species including cyanobacteria. C-di-GMP stimulates the biosynthesis of extracellular polymeric substances (EPS) in biofilms and regulates the transition between a motile and a sessile life style in many bacteria. In our study we focus on c-di-GMP function and EPS production associated with biofilm Formation in Nostoc punctiforme, which is known to produce EPS in biofilms and liquid culture.
Development of a robust calibration model for determination of nutrients in soils using EDXRF
(2018)
As part of the BonaRes research initiative, funded by the BMBF, strategies are being developed to use soil as a sustainable resource in the bio economy. The interdisciplinary subproject I4S - “Intelligence for soil” - is responsible for the development of an integrated system for site-specific management of soil fertility. For this purpose, a platform is constructed and various sensors are installed. Real-time data will be summarised in models and decision-making algorithms will be used to control fertilisation and accordingly improve soil functions. Aim of the BAM in the frame of I4S is the characterisation of an energy-dispersive X-ray fluorescence (EDXRF) based sensor for robust determination of plant essential nutrients in soil.
First a principal component analysis (PCA) was used to identify outliers and to observe the largest variance within the German soil samples. It could be monitored that splitting of the samples was due to their iron content. Given that clay samples contain high amounts of iron and sandy samples low amounts, a classification of the samples by their soil texture according to VD LUFA was possible. Considering the complex composition of soil, a matrix-specific calibration was carried out by univariate and multivariate data analysis. The figures of merit demonstrated that a more robust calibration model with negligible matrix effects can be obtained by a multivariate approach using partial least squares regression (PLSR). A better correlation between predicted values compared to reference values for German soil samples was observed for the chemometric calibration model than for the univariate one.
Different factors can affect the received calibration models such as moisture and particle size distribution which is especially important due to later online Analysis.
In first studies the influence of moisture on the detection of plant essential nutrients was investigated. With increasing water content, the characteristic fluorescence peaks decrease and start to increase again at a water content of 15 %. With lower moisture content the soil agglomerates which leads to lower packing of the sample, resulting in a rougher surface which negatively influence the signals. Whereas, agglomerates are not formed at higher water content. This allows the sample to be packed more tightly thus a smoother surface and a better homogeneity is obtained.
Furthermore, particle size distribution leads to significantly higher uncertainties and lower signals when comparing grounded (< 500 μm) and not grounded (< 2 mm) samples. This can be explained by amplifying of the already known inhomogeneity of soils. Both factors must be included in the chemometric PLSR to obtain robust calibration models for each macro and micro nutrient.
As part of the BonaRes research initiative, funded by the BMBF, strategies are being developed to use soil as a sustainable resource in the bio economy. The interdisciplinary subproject I4S - “Intelligence for soil” - is responsible for the development of an integrated system for site-specific management of soil fertility. For this purpose, a platform is constructed and various sensors are installed. Real-time data will be summarised in models and decision-making algorithms will be used to control fertilisation and accordingly improve soil functions. Aim of the BAM in the frame of I4S is the characterisation of an energy-dispersive X-ray fluorescence (EDXRF) based sensor for robust determination of plant essential nutrients in soil.
First a principal component analysis (PCA) was used to identify outliers and to observe the largest variance within the German soil samples. It could be monitored that splitting of the samples was due to their iron content. Given that clay samples contain high amounts of iron and sandy samples low amounts, a classification of the samples by their soil texture according to VD LUFA was possible. Considering the complex composition of soil, a matrix-specific calibration was carried out by univariate and multivariate data analysis. The figures of merit demonstrated that a more robust calibration model with negligible matrix effects can be obtained by a multivariate approach using partial least squares regression (PLSR). A better correlation between predicted values compared to reference values for German soil samples was observed for the chemometric calibration model than for the univariate one.
Different factors can affect the received calibration models such as moisture and particle size distribution which is especially important due to later online analysis.
In first studies the influence of moisture on the detection of plant essential nutrients was investigated. With increasing water content, the characteristic fluorescence peaks decrease and start to increase again at a water content of 15 %. With lower moisture content the soil agglomerates which leads to lower packing of the sample, resulting in a rougher surface which negatively influence the signals. Whereas, agglomerates are not formed at higher water content. This allows the sample to be packed more tightly thus a smoother surface and a better homogeneity is obtained.
Furthermore, particle size distribution leads to significantly higher uncertainties and lower signals when comparing grounded (< 500 μm) and not grounded (< 2 mm) samples. This can be explained by amplifying of the already known inhomogeneity of soils.
Both factors must be included in the chemometric PLSR to obtain robust calibration models for each macro and micro nutrient.
As part of the BonaRes research initiative, funded by the BMBF, strategies are being developed to use soil as a sustainable resource in the bio economy. The interdisciplinary subproject I4S - “Intelligence for soil” - is responsible for the development of an integrated system for site-specific management of soil fertility. For this purpose, a platform is constructed and various sensors are installed. Real-time data will be summarised in models and decision-making algorithms will be used to control fertilisation and accordingly improve soil functions. Aim of the BAM in the frame of I4S is the characterisation of an energy-dispersive X-ray fluorescence (EDXRF) based sensor for robust determination of plant essential nutrients in soil.
First a principal component analysis (PCA) was used to identify outliers and to observe the largest variance within the German soil samples. It could be monitored that splitting of the samples was due to their iron content. Given that clay samples contain high amounts of iron and sandy samples low amounts, a classification of the samples by their soil texture according to VD LUFA was possible. Considering the complex composition of soil, a matrix-specific calibration was carried out by univariate and multivariate data analysis. The figures of merit demonstrated that a more robust calibration model with negligible matrix effects can be obtained by a multivariate approach using partial least squares regression (PLSR). A better correlation between predicted values compared to reference values for German soil samples was observed for the chemometric calibration model than for the univariate one.
Different factors can affect the received calibration models such as moisture and particle size distribution which is especially important due to later online analysis.
In first studies the influence of moisture on the detection of plant essential nutrients was investigated. With increasing water content, the characteristic fluorescence peaks decrease and start to increase again at a water content of 15 %. With lower moisture content the soil agglomerates which leads to lower packing of the sample, resulting in a rougher surface which negatively influence the signals. Whereas, agglomerates are not formed at higher water content. This allows the sample to be packed more tightly thus a smoother surface and a better homogeneity is obtained.
Furthermore, particle size distribution leads to significantly higher uncertainties and lower signals when comparing grounded (< 500 μm) and not grounded (< 2 mm) samples. This can be explained by amplifying of the already known inhomogeneity of soils.
Both factors must be included in the chemometric PLSR to obtain robust calibration models for each macro and micro nutrient.
A bead suspension array for measuring emerging pollutants and anthropogenic markers in wastewater
(2016)
Background: The assessment of water quality demands for high-throughput and multi-target compatible analytical methods. On the one hand, the influence of sewage on natural surface waters must be routinely monitored - according to the European Water Framework Directive. On the other hand, estimation of removal efficiencies of pollutants, such as drug residues, is in the focus of industrial and public wastewater treatment. Immunoassays, such as ELISA, are often applied in this area owing to their cost-efficiency and high-throughput capability. However, it is only possible to measure a single analyte in one measurement. In contrast, array technology is capable for measuring multiple substances in parallel. Here we present a four-plex bead-based flow cytometric assay for measuring three drugs (carbamazepine, an anti-epileptic drug, diclofenac, an antiphlogistic and caffeine, a psychoactive substance) and the bile acid isolithocholic acid, which is proposed to be used as a fecal marker. The drugs can be detected from 1 to 4 µg/L and the bile acid can be detected up to 72 µg/L in wastewater, requiring a highly sensitive detection method.
Methods: We use core-shell particles as the spherical platform, consisting of a polystyrene core and a silica shell. Such beads can easily be encoded with an organic fluorophore in the core and functionalized with amino groups on the silica shell surface for creating binding sites for antibodies: Therefore, the marker substances are bound to the amino groups via NHS chemistry. The hybrid particles were synthesized in house. Polystyrene was chosen as core material because of its low density and high refractive index, both important requirements for the use in suspension arrays. Easy surface modifications using silane chemistry are accessible on the silica shell. For the determination of the pollutants, the beads are incubated with a mixture of the analyte-specific antibodies. The antibodies undergo a competitive reaction to bind the immobilized molecules on the surface of the beads or the free analyte in the solution, respectively. Bound antibodies can then be visualized via fluorophore-labelled secondary antibodies. For read-out a flow cytometer is used to virtually separate the different dye encoded beads and to measure the resulting Signal intensity of the immunoassay. A four-parametric function was used as calibration curve.
Results: In order to obtain highly selective binding of the antibodies, we investigated different types of silica shell surface modifications to overcome unspecific binding, finding that a PEG-modified surface is suitable to support our immunoassay format. Multiplexed small molecule detection can therefore be realized in a simple mix and read procedure without washing steps.
Conclusion: We presented a multiplexing suspension array for the detection of four marker substances in wastewater samples, based on an indirect immunoassay format with polystyrene core-silica shell microbeads. The resulting multiplexing assay is appropriate to detect the marker substances in the low µg/L range. Therefore, wastewater samples can be measured without further preconcentration.
Pollutants of low molecular weight, such as drug residues, are in the focus of water quality assessment: some of them, like carbamazepine are only partially degraded in wastewater treatment plants. Thus, these pollutants can serve as marker substances for elimination efficiencies. Monitoring water quality demands for selective, high-throughput and multi-target analytical methods. Immunoassays, such as ELISA, offer the possibility to be highly sensitive and selective due to the specific recognition by high affinity of target molecules to antibodies (Abs). Batch-wise processing in microtiter plates allows for the necessary high-throughput, however only a single analyte can be determined within one measurement.
To overcome these disadvantages, we developed a four-plex microbead-based flow cytometric assay, which is adaptable for the microtiter plate format. The modular and self-prepared bead support consists of polystyrene-core/silica-shell particles. While, the polystyrene core is used for encoding, by introducing different amounts of fluorescent dyes, the silica shell creates a solid support for the immunoassay: The target analytes, three drugs, carbamazepine, diclofenac and caffeine and the fecal marker isolithocholic acid are coupled covalently to the surface via NHS chemistry to amino groups on the surface.
For determination of the pollutants, a mixture of specific Abs is incubated with the samples, to bind competitively on the “anchor” molecules on the surface of the beads or the analyte in solution. Bound antibodies are then visualized via fluorescent dye-labelled secondary Abs. Flow-cytometry allows for decoding of the beads and signal read-out, without washing the system. In order to decrease non-specific binding, we investigated different types of surface modifications, finding, that a PEG-based surface is suitable to support our immunoassay format. For maximum sensitivity, a design-of-experiment approach was chosen for optimization of the assay parameters. The resulting immunoassay is appropriate to quantify the pollutants in the low μg/L-range.
Cryomyces antarcticus – a cryptoendolithic black fungus endemic to Antarctica – is taxonomically classified in phylum Ascomycota, class Dothideomycetes incertae sedis. C. antarcticus has shown high capability to survive extreme environmental conditions like those found in space (ionizing radiation, vacuum, microgravity), thus fueling fundamental astrobiological questions like “searching for life beyond Earth” (Onofri et al. 2020, Extremophiles Astrobiol Model). Its extraordinary resilience has been attributed to the presence of thick, highly melanized cell walls, which may contain both DHN and DOPA melanins (Pacelli et al. 2020, Appl Microbiol Biotechnol). To better understand the contribution of DHN melanin to the overall resilience of C. antarcticus, we initially adopted chemicals e.g., tricyclazole to inhibit the DHN melanin synthetic pathway; however, these studies gave inconclusive results. Eventually, we decided to generate melanin-deficient mutants by genetic engineering. Using the genetic toolkit developed for the black fungus Knufia petricola (Voigt et al. 2020, Sci Rep; Erdmann et al. 2022, Front Fungal Biol), we designed a strategy for mutating the key enzyme (polyketide synthase)-encoding gene capks1 by transient delivery of Cas9 and capks1-specific sgRNA from AMA-containing plasmids and PCR-generated donor DNA i.e., resistance cassettes flanked by ~75-bp-long sequences homologous to capks1. For this, the melanin-PKS encoding ortholog was identified in the C. antarcticus CBS 116301 genome (mycocosm.jgi.doe.gov) and used to design primers for re-sequencing of the capks1 locus in the strain CCFEE 515. Transformation of C. antarcticus is challenging because of its very slow growth; we expect that 4-6 months are needed from obtaining enough biomass for cell wall lysis until transferring putatively resistant transformants for genotyping. Important parameters were evaluated: protoplasts can be generated, and they survive the transformation procedure, and suitable concentrations of selective agents have been identified. Nowadays, we are waiting for the first C. antarcticus mutants considered to be deficient in DHN melanogenesis.
Influence of moisture and grain sizes on the analysis of nutrients in agricultural soils using LIBS
(2018)
Over the last few years, there has been a growing interest to apply spectroscopic methods to the agricultural field for better understanding of soil properties and for efficient, sustainable management of arable land. Within the project I4S (intelligence for soil), funded by the BMBF, an integrated system for site-specific soil fertility management is developed, consisting of different sensors like X-Ray fluorescence analysis (XRF), near-infrared spectroscopy (NIR) and laser-induced breakdown spectroscopy (LIBS). LIBS provides a fast and simultaneous multi-element analysis with little to no sample preparation, which makes it a suitable method for real-time analysis on the field.
The quantification of macro and micro nutrients in soils with LIBS is challenging due to matrix effects, different levels of moisture content and varying grain sizes. First studies revealed that the problems with matrix effects can be overcome by using well characterised soils as reference materials and chemometric tools like Partial Least Squares Regression(PLSR) for calibration.
The next step was to investigate the influence of moisture and grain sizes on the LIBS signal, which is a big issue when measuring directly on the field. The results showed that the LIBS signal decreases exponentially with increasing moisture content, as most of the laser energy is used for vaporising the water. With moisture contents of 30 % or higher almost no signal can be detected. This decrease is more severe for sandy soils than for clay soils. First tests of different grain size distributions indicate that the variation of the LIBS signal increases with growing amounts of larger grains. This results in a higher standard deviation, because of a poorer reproducibility of the plasma formation and plasma characteristic. With the help of chemometric tools the influence of moisture and grain sizes should be implemented in the calibration model for accurate analysis of nutrient composition in agricultural soils.
Over the last few years, there has been a growing interest to apply spectroscopic methods to the agricultural field for better understanding of soil properties and for efficient, sustainable management of arable land. Within the project I4S (intelligence for soil), funded by the BMBF, an integrated system for site-specific soil fertility management is developed, consisting of different sensors like X-Ray fluorescence analysis (XRF), near-infrared spectroscopy (NIR) and laser-induced breakdown spectroscopy (LIBS). LIBS provides a fast and simultaneous multi-element analysis with little to no sample preparation, which makes it a suitable method for real-time analysis on the field.
The quantification of macro and micro nutrients in soils with LIBS is challenging due to matrix effects, different levels of moisture content and varying grain sizes. First studies revealed that the problems with matrix effects can be overcome by using well characterised soils as reference materials and chemometric tools like Partial Least Squares Regression (PLSR) for calibration.
The next step was to investigate the influence of moisture and grain sizes on the LIBS signal, which is a big issue when measuring directly on the field. The results showed that the LIBS signal decreases exponentially with increasing moisture content, as most of the laser energy is used for vaporising the water. With moisture contents of 30 % or higher almost no signal can be detected. This decrease is more severe for sandy soils than for clay soils. First tests of different grain size distributions indicate that the variation of the LIBS signal increases with growing amounts of larger grains. This results in a higher standard deviation, because of a poorer reproducibility of the plasma formation and plasma characteristic. With the help of chemometric tools the influence of moisture and grain sizes should be implemented in the calibration model for accurate analysis of nutrient composition in agricultural soils.
Over the last few years, there has been a growing interest to apply spectroscopic methods to the agricultural field for better understanding of soil properties and for efficient, sustainable management of arable land. Within the project I4S (intelligence for soil), funded by the BMBF, an integrated system for site-specific soil fertility management is developed, consisting of different sensors like X-Ray fluorescence analysis (XRF), near-infrared spectroscopy (NIR) and laser-induced breakdown spectroscopy (LIBS). LIBS provides a fast and simultaneous multi-element analysis with little to no sample preparation, which makes it a suitable method for real-time analysis on the field.
The quantification of macro and micro nutrients in soils with LIBS is challenging due to matrix effects, different levels of moisture content and varying grain sizes. First studies revealed that the problems with matrix effects can be overcome by using well characterised soils as reference materials and chemometric tools like Partial Least Squares Regression (PLSR) for calibration.
The next step was to investigate the influence of moisture and grain sizes on the LIBS signal, which is a big issue when measuring directly on the field. The results showed that the LIBS signal decreases exponentially with increasing moisture content, as most of the laser energy is used for vaporising the water. With moisture contents of 30 % or higher almost no signal can be detected. This decrease is more severe for sandy soils than for clay soils. First tests of different grain size distributions indicate that the variation of the LIBS signal increases with growing amounts of larger grains. This results in a higher standard deviation, because of a poorer reproducibility of the plasma formation and plasma characteristic. With the help of chemometric tools the influence of moisture and grain sizes should be implemented in the calibration model for accurate analysis of nutrient composition in agricultural soils.
Over the last few years, there has been a growing interest to apply spectroscopic methods to the agricultural field for better understanding of soil properties and for efficient, sustainable management of arable land. Within the project I4S (intelligence for soil), funded by the BMBF, an integrated system for site-specific soil fertility management is developed, consisting of different sensors like X-Ray fluorescence analysis (XRF), near-infrared spectroscopy (NIR) and laser-induced breakdown spectroscopy (LIBS). LIBS provides a fast and simultaneous multi-element analysis with little to no sample preparation, which makes it a suitable method for real-time analysis on the field.
The quantification of macro and micro nutrients in soils with LIBS is challenging due to matrix effects, different levels of moisture content and varying grain sizes. First studies revealed that the problems with matrix effects can be overcome by using well characterised soils as reference materials and chemometric tools like Partial Least Squares Regression (PLSR) for calibration.
The next step was to investigate the influence of moisture and grain sizes on the LIBS signal, which is a big issue when measuring directly on the field. The results showed that the LIBS signal decreases exponentially with increasing moisture content, as most of the laser energy is used for vaporising the water. With moisture contents of 30 % or higher almost no signal can be detected. This decrease is more severe for sandy soils than for clay soils. First tests of different grain size distributions indicate that the variation of the LIBS signal increases with growing amounts of larger grains. This results in a higher standard deviation, because of a poorer reproducibility of the plasma formation and plasma characteristic. With the help of chemometric tools the influence of moisture and grain sizes should be implemented in the calibration model for accurate analysis of nutrient composition in agricultural soils.
The organophosphate nerve agents Tabun (GA), Sarin (GB) and Soman (GD) are among the most toxic chemical warfare agents (CWA) known, and exert their biological effects by irreversibly inhibiting acetylcholinesterase enzymes of the human nerve system. The use of these agents in the past century has killed millions of civilians around the world during World Wars I and II, and after that, approximately 40.000 tons of chemical ammunition were dumped into the Baltic Sea, containing ca. 13.000 tons of chemical warfare agents. Since their production, almost all the nations of the world have been strictly avoiding the development and use of CWA, participating in active destruction of CWA stockpiles, especially since the Chemical Weapon Convention (CWC) of 1993. However, CWA have been used in offensive ways against civilian population by terrorists, as for instance in the fatal Tokyo subway terror incident of 1995 or, most recently, against antigovernment demonstrators in Syria in 2013. Due to their higher toxicity and continuous use, it is therefore very important to develop simple and fast detection methods relying on new nerve agent sensing modalities for use in control and inspection.
A practically useful fluorescent probe must possess a rapid response and high sensitivity, and shall be implementable into easy-to-use devices for real time detection by untrained personnel. Taking into account this fact, in this work we have synthesized several mesoporous silica materials containing boron–dipyrromethene (BODIPY) moieties for the detection of nerve agents GA, GB and GD in the gas phase. Development of our system indicated that the most potent materials are able to respond to the presence of nerve agent simulants diethyl cyanophosphonate, diethyl chlorophosphate and diisopropyl fluorophosphate, which have to be used in a laboratory setting, yet also for the real nerve agents Sarin, Soman and Tabun, producing a strong quenching of the fluorescence. Furthermore, a portable device for the detection of GA, GB and GD in the gas phase has been prepared for in situ sensing and rapid screening applications, consisting of strips that are able to indicate the targets down to below 1 mgm-3 which is below the LD50 values.
Algal biofilm façades are an alternative to traditional green façades which can help to improve biodiversity and air quality within cities. They present a low maintenance approach in which subaerial algae are grown directly on concrete substrates. The intrinsic bioreceptivity of the substrate is a critical factor in successful facade colonisation. Existing research has identified several environmental and material properties which influence concrete bioreceptivity, however a consensus has yet to be made on which properties are most influential and how the interaction between properties may promote algal biofilm growth under specific conditions.
Fungal biofilms on materials: describing and modelling growth of the black fungus Knufia petricola
(2023)
Fungi that grow as biofilms are associated with clinical settings as well as various cases of material fouling and material damage. Black fungi as biofilm formers have been rarely studied so far. Their conspicuous dark pigmentation, EPS production, adhesion capabilities and adaptations to stresses allow black fungi to develop biofilms on materials under harsh conditions. For example, rock-inhabiting black fungi withstand sun irradiation and dehydration and are therefore ubiquitous on arid surfaces like solar panels and marble monuments.
To understand and control their ability to colonise and deteriorate materials, one should assess and model black fungi’s growth patterns. But so far, no mathematical model has been developed to describe their growth. Knufia petricola A95, representing rock-inhabiting fungi from Chaetothyriales, is genetically amenable and can serve as a model for biofilm studies in black fungi. The primary objective of this project is to develop a growth model for K. petricola A95 which will enable to define and predict material colonisation of black fungi.
Dedicated experimental work with K. petricola will allow the quantitative assessment of the impact of environmental conditions (e.g. pH, nutrients, etc.) on the growth behaviour at the biofilm and single cells level. Data which will be used to validate and develop an individual-based model (based on the iDynoMICS modelling platform) that explains how fungal biofilms form, colonise materials, and cause deterioration.
Thus far, research has been conducted on the impact of different concentrations and sources of major elements (e.g. C, N, …), as well as trace elements (e.g. Cu, Mg, …), on the colony shape and biomass of Knufia petricola A95 biofilms. To study the behaviour of single cells, the length of the cell cycle in different growth media has been determined via the combined use of microfluidic devices and confocal microscopy.
ICP-ToF (time of flight) MS enables the analysis of the multi-element fingerprint of single cells. The single cell ICP-ToF-MS is used in the presented poster for the analysis of archaea involved in microbiologically influenced corrosion (MIC) of steel. By means of sc-ICP-ToF-MS, the possible uptake of individual elements from the respective steel is investigated - the information obtained will be used in the future to elucidate underlying mechanisms and develop possible material protection concepts. The work combines modern methods of analytical sciences with materials.
Up to now, different analytical methods for single cell analysis exist focusing on key features such as size, shape, morphology and elemental composition. The combination of the latest ICP-MS techniques - ICP-ToF-MS - together with the latest developments in the field of sample delivery - micro droplet generator (MDG) – will allow a Deep insight into the composition and size of cells.
Microbiologically influenced corrosion (MIC) is an oxidation of metals affected by the presence or activity (or both) of microorganisms e.g. Shewanella Putrefaciens in biofilms on the surface of the corroding material. As this can happen for example in the soil on iron pipes of water pipes, in oil tanks or on steel sheet piling, there is great interest in MIC research, not only from various industrial sectors, but also from the environmental aspect.
Motivation:
> Zunehmender Einsatz von Pulveraktivkohle (PAK) zur
Spurenstoffelimination in kommunalen Kläranlagen
> Bisher keine analytische Methode zur Quantifizierung von PAK in
Belebungsbecken, bzw. in Gegenwart von Belebtschlamm
> Anwendung der Thermogravimetrischen Analyse (TGA) zur
Feststoffcharakterisierung auf Umweltfragestellungen
Ergebnisse:
> Quantifizierung von PAK in Belebtschlamm ist möglich und kann
über unterschiedliche zweistufige TGA-Methoden erfolgen
> Zersetzungsgasanalyse zeigt veränderte und verzögerte
Freisetzung aliphatischer Produkte des Belebtschlamms
Eine umfangreich ausgestaltete Trinkwasseraufbereitung als Multibarrieren-System ist notwendig, wenn das Rohwasser direkt aus Fließgewässern entnommen wird (z. B. für das Mülheimer Verfahren). Eine der Barrieren wird, als gezielte Behandlungs- oder Sicherheitsstufe, oft als Filter mit granulierter Aktivkohle (GAK-Filter) realisiert. Ihre Standzeit kann bei geringer Wasserbelastung (DOC < 2 mg/L), z. B. bei der Landeswasserversorgung Langenau, bis zu 5 Jahre betragen. Bei Rohwasser mit höherem Organikgehalt (DOC > 7 mg/L), wie bei der Nordwasser in Rostock, wird hingegen mindestens alle drei Jahre die GAK in den Filterkolonnen ausgetauscht.
Die Rest-Adsorptionskapazität der GAK kann durch verschiedene Verfahren abgeschätzt werden, ist aber nach wie vor Gegenstand aktueller Forschung. Die weitergehende Charakterisierung der beladenen GAK kann hierbei helfen.
Auf dem Poster sollen erste Ergebnisse zu den in Langenau und Rostock eingesetzten Aktivkohlen präsentiert werden. Hierzu wurden die frischen und nach unterschiedlichen Laufzeiten beladenen GAK untersucht. Die Zusammensetzung der Anorganik und der adsorbierten Organik, welche mittels Zersetzungs¬gasanalyse charakterisiert wurde, zeigt deutliche Unterschiede. Bspw. nimmt der Calcium-Gehalt der GAK in Langenau kontinuierlich zu, wohingegen dieser in den Proben aus Rostock mit zunehmender Laufzeit zurückgeht. Umgekehrt verhält es sich mit der Organik: Die GAK aus Rostock zeigen Hinweise auf biologische Besiedelung, während diese in Langenau trotz längerer Filterlaufzeit auszubleiben scheint.
Brazilian farming industry consumed around 2.2 million tons of phosphorus (P) fertilizers in 2016. The agricultural industry depends on imported P fertilizers and over 98% of P fertilizers were used for sugarcane, soybean and maize production.
An alternative is to use P from sugarcane bagasse. Bagasse is the fibrous plant material remaining after extraction of sugarcane juice, and it is combusted for energy production. Remaining ash con-tains up to 0.6 wt% P. The use of bagasse ash (BA) as P fertilizer could decrease the annual import of P fertilizers by 6% of the imported P fertilizer based on 2016 values. Since the bioavailability of P from BA to plants is poorly investigated, this study addresses the effects of (i) gasification tempera-ture (710-849°C), (ii) processing method (gasification vs. combustion), (iii) biomass modifications by co-processing bagasse with chicken manure (BA+CM), and (iv) the soil (Brazilian Oxisol soil vs. nutri-ent poor substrate) on the bioavailability of P from BA to soybeans (Glycine max).
Gasification of BA at 806 °C resulted in significantly highest uptake of P by soybeans and was around 0.33 mmol after 51 days growing. The bioavailability of P significantly increased due to co-gasification of bagasse and chicken manure (BA+CM) and the soybeans took up around 16% more P. Compared to the nutrient-poor substrate, the bioavailability of P in BA+CM ash treated Oxisol soil was signifi-cantly lower by 46% and there was no significant effect of processing method on the bioavailability of P from the BA+CM ash to soybeans. Contrary to the Oxisol soil, the bioavailability of P from co-combusted BA+CM ash was significantly higher compared to co-gasified BA+CM ash. In conclusion, co-processing of bagasse with nutrient rich residues can increase the value of BA as P fertilizer. The bioavailability of P from ash to plants depends on the P forms. Mineralogical analyses of ash P forms by NMR and X-ray diffraction are in progress and will be presented at the conference.
Advances in high-resolution imaging of cell cultures and tissues exposed to airborne particles
(2022)
High-resolution microscopy techniques are fundamental to our ability to investigate and quantify the toxicological effects of airborne particulate pollutants via imaging of in vitro respiratory models exposed to well-characterised particle suspensions and aerosols. However, all imaging methods are limited in their spatio-temporal resolution, information capacity and suitability for minimally invasive time lapse imaging. Many traditional methods are incompatible with the more complex three-dimensional model systems which have potential for greater correlation between in vitro studies and real-world health effects. New techniques can overcome these limits, increasing our ability to understand and measure biological responses to particulate exposure at subcellular, cellular and multicellular scales. We have investigated a variety of microscopy methods for imaging different respiratory models.
Die inhalative Aufnahme (Wirkungspfad Boden – Mensch) von MKW bestimmt aus toxikologischer Sicht die Festlegung von Prüfwerten.
Somit müssen die leichtflüchtigen Fraktionen quantifiziert werden. Die durchgeführte Robustheitsstudie des genormten Verfahrens umfasst die Ermittlung der Kenndaten der Probenahme, der Probenaufarbeitung und der Instrumentalanalytik.
Contamination of drinking water with pharmaceuticals is an emerging problem and a potential health threat. Immunochemical methods based on the binding of the analyte to specific antibodies enable fast & cost-effective on-site analyses. Magnetic bead-based immunoassays (MBBAs) allow for implementation into an immunosensor for online testing. Particles are prepared by either coupling the analyte molecule (diclofenac) or the respective antibody (amoxicillin) to the surface. For miniaturization, detection is performed electrochemically (chronoamperometry) on a microfluidic chip. The developed immunosensor will enable detection of pharmaceuticals directly in water supply pipes.
Contamination of drinking water with pharmaceuticals is an emerging problem and a potential health threat. Immunochemical methods based on the binding of the analyte to specific antibodies enable fast & cost-effective on-site analyses. Magnetic bead-based immunoassays (MBBAs) allow for implementation into an immunosensor for online testing. Particles are prepared by either coupling the analyte molecule (diclofenac) or the respective antibody (amoxicillin) to the surface. For miniaturization, detection is performed electrochemically (chronoamperometry) on a microfluidic chip. The developed immunosensor will enable detection of pharmaceuticals directly in water supply pipes.
Contamination of drinking water with pharmaceuticals is an emerging problem and a potential health threat. Immunochemical methods based on the binding of the analyte to specific antibodies enable fast and cost-effective on-site analyses. Magnetic bead-based immunoassays allow for implementation into an immunosensor for online testing. These particles are prepared by either coupling the analyte molecule (diclofenac) or the respective antibody (amoxicillin) to the surface. For miniaturization, detection is performed electrochemically on a microfluidic chip. The developed immunosensor will enable detection of pharmaceuticals directly in water supply pipes.
Die zunehmende Kontamination von (Trink)-Wasser mit pharmazeutischen Rückständen stellt ein potenzielles Gesundheitsrisiko dar und verlangt nach schnellen und zuverlässigen Analysemethoden. Hierbei können antikörper-basierte Methoden helfen, da sie schnelle und kostengünstige Vor-Ort-Messungen sowie Onlineanalysen ermöglichen.
Der Übergang von konventionellen plattenbasierten Formaten, wie ELISA (Enzyme-linked Immunosorbent Assay), zu einem Immunosensor für Online-Messungen wird durch den Einsatz magnetischer Mikropartikel als mobile Messplattform ermöglicht.
Die Partikel werden dazu entweder mit dem Antikörper oder dem Analyten gekoppelt. Diese beiden Strategien werden am Beispiel zweier relevanter Kontaminanten des Wassers gezeigt: Diclofenac (DCF) & Amoxicillin (AMX), und sind leicht auf andere Analyten übertragbar. Die magnetpartikelbasierten Assays (MBBAs) weisen niedrigere Nachweisgrenzen, breitere Messbereiche sowie kürzere Analysezeiten als die entsprechenden ELISAs auf und können in einen Immunosensor mit elektrochemischer Detektion auf einem mikrofluidischen Chip integriert werden.
Contamination of drinking water with pharmaceuticals is an emerging problem and a potential health threat. Immunochemical methods based on the binding of the analyte to specific antibodies enable fast & cost-effective on-site analyses. Magnetic bead-based immunoassays allow for implementation into an immunosensor for online testing. Particles are prepared by either coupling the analyte molecule (diclofenac) or the respective antibody (amoxicillin) to the surface. For miniaturization, detection is performed electrochemically (chronoamperometry) on a microfluidic chip. The developed immunosensor will enable detection of pharmaceuticals directly in water supply pipes.
Contamination of the environment with antibiotics is of great concern as it promotes the evolution of antimicrobial resistances. In case of amoxicillin (AMX) in the aquatic environment, further risk arises from hydrolysis products (HPs) which can cause allergy. To assess these risks, a comprehensive investigation and understanding of the degradation of AMX is necessary. We investigated the hydrolysis rate of AMX in different types of water as well as the influence of temperature and irradiation. The content of the heavy metal ions copper and zinc was found to be crucial for the hydrolysis rate of AMX and stability of HPs. Eventually, a new degradation pathway for AMX could be elaborated and confirmed by tandem mass spectrometry (LC-MS/MS).
Contamination of drinking water with pharmaceuticals is an emerging problem and a potential health threat. Immunochemical methods based on the binding of the analyte to specific antibodies enable fast & cost-effective on-site analyses. Magnetic bead-based immunoassays (MBBAs) allow for implementation into an immunosensor for online testing. Particles are prepared by either coupling the analyte molecule (diclofenac) or the respective antibody (amoxicillin) to the surface. For miniaturization, detection is performed electrochemically (chronoamperometry) on a microfluidic chip. The developed immunosensor will enable detection of pharmaceuticals directly in water supply pipes.
We report the first results for the immunochemical determination of the β-lactam antibiotic drug amoxicillin (AMX) in water samples by ELISA (enzyme-linked immunosorbent assay). The applied indirect competitive ELISA using a commercially available mouse anti-AMX antibody enables testing for AMX with a limit of detection of around 1 µg/L. Calibration curves of calibrators prepared in different water samples showed equal shape. This underlines the suitability of this assay for the AMX determination in these samples. Furthermore, cross-reactivities of structurally similar β-lactam antibiotics were examined and found to be low for ampicillin, penicillin G and penicillin V. In contrast, carbenicillin was recognized by the antibody even better than AMX indicating a positive effect of an additional carboxyl group on antibody binding. This is promising for further application of this assay, e.g. in the determination of the most relevant hydrolysis product of AMX, amoxicilloic acid.
Herein we present the data for a newly developed immunoassay for the determination of amoxicillin (AMX) in water samples using a commercially available monoclonal anti-AMX antibody. During optimization and testing of the assay, we observed a significant decrease of the C-value (IC50) of the ELISA calibration curves with aged standard solutions. Running the assay with standard solutions of synthesized AMX hydrolysis products revealed that this decreased C-value could be attributed mainly to the hydrolysis product amoxicilloic acid. Therefore, the limit of detection of the ELISA for AMX determination in water could be enhanced by either hydrolyzing the samples or testing for amoxicilloic acid as marker substance.
The demand for quick and reliable online sensors is rising not only in the field of environmental analysis with new and diversifying sources of pollution. A major aspect of this is the contamination of (drinking) water with pharmaceuticals representing a potential health threat and requiring timely countermeasures in case of contamination.
In this regard, antibody-based methods can be helpful as they enable fast and cost-effective on-site and potentially online analyses. The transition from the conventional plate-based formats like ELISA (enzyme-linked immunosorbent assay) to an immunosensor fit for online sensing can be achieved by using magnetic microparticles as a mobile sensing platform.
Beads are prepared by either coupling the antibody or the analyte to the surface. Both these strategies are presented using the example of two relevant contaminants in water: diclofenac (DCF) & amoxicillin (AMX), and can be transferred to other analytes.
The developed magnetic bead-based assays (MBBAs) exhibit lower LODs, enhanced sensitivity as well as shorter time of analysis than the respective ELISAs and can be integrated into an immunosensor with electrochemical detection on a microfluidic chip.
The Intelligence for Soil (I4S) project deals with the development of an integrated system for the site-specific soil fertility management. One goal of the project is to establish a mobile sensor platform for soil mapping. The task here is the installation and optimization of a XRF sensor for online measurement directly on the field. The fast soil mapping allows later on a site-specific fertilisation of essential plant nutrients like K, Ca and P. In order to optimize the application of the fertilizers it is necessary to relate the total contents analysed with XRF to the soil nutrients which are available to the plants. For this purpose the plant available phosphate supply was analysed with the Calcium-Acetate-Lactate extraction method (CAL) according to VDLUFA and compared with the total contents.
The need for sustainable and effective usage of limited resources like water and soil becomes more and more important due to increasing populations and their need for food. The research initiative BonaRes funded by the Federal Ministry of Education and Research, develops strategies to use soil as a sustainable resource for the bio-economy. One part of this initiative is the Intelligence for Soil (I4S) project. It deals with the development of an integrated system for the site-specific soil fertility management. The goal of the project is to establish a mobile sensor platform for soil mapping as well as to apply soil and crop models to deal with the high amount of produced data. These models are going to be used to formulate recommendations on the use of fertilizers and to gain an improvement on the soil fertility. Using this information, the environmental pollution with substances like nitrate contained in fertilizers can be decreased. Furthermore, the costs for farmers can be decreased if only the amounts of fertilizer needed are applied to the field.
The task for BAM is installation and optimization of a handheld XRF sensor for online measurement directly on the field. It is a non-destructive technique and quite suitable for an online approach due to a low maintenance in sample preparation and a fast and simultaneous multi element analysis. The elements of interest in this case are light elements like phosphorus, calcium, and potassium. One of the major tasks is the calibration of the sensor for different soils is finding suitable calibration models, which are evolved to deal with different types of soil. Due to the multi element analysis, micro and macro nutrients can be determined simultaneously. Those differ a lot in their contents, which makes it inevitable to optimize and adapt the analytical procedure. By analyzing soil it is always important to deal with matrix effects, that is why the influence of different disturbances like the moisturize content and the grain size needs to be investigated. The XRF is only one of many sensors that combined give customized fertilizing recommendations in the end.
The need for sustainable and effective usage of limited resources like water and soil becomes more and more important due to increasing populations and their need for food. The research initiative BonaRes funded by the Federal Ministry of Education and Research, develops strategies to use soil as a sustainable resource for the bio-economy. One part of this initiative is the Intelligence for soil (I4S) project. It deals with the development of an integrated system for the site-specific soil fertility management. The goal of the project is to establish a mobile sensor platform for soil mapping as well as to apply soil and crop models to deal with the high amount of produced data. These models are going to be used to formulate recommendations on the use of fertilizers and to gain an improvement on the soil fertility. Using these information’s, the environmental pollution with substances like nitrate contained in fertilizers can be decreased. Furthermore, the costs for farmers can be decreased if only the amounts of fertilizer actually needed are applied to the field.
The task for the Federal Institute for Materials Research and Testing (BAM) is the installation and optimization of a handheld XRF sensor for the online measurement directly on the field. It is a non-destructive technique and quite suitable for the online approach due to a low maintenance in the sample preparation and a fast and simultaneous multi element analysis. The elements of interest in this case are light elements like phosphorus, calcium and potassium. One of the major tasks is the calibration of the sensor for different soils, therefore, calibration models are evolved to deal with different types of soil. Due to the multi element analysis, micro and macro nutrients can be determined simultaneously. Those differ a lot in their contents which makes it inevitable to optimize and adapt the measuring procedure. By analyzing soil, its always important to deal with matrix effects, that is why the influence of different disturbances like the moisturize content and the grain size needs to be investigated.
The XRF is only one of many sensors that combined give customized fertilizing recommendations in the end.
Die vom BMBF unterstütze Forschungsinitiative BonaRes entwickelt Strategien um Boden als nachhaltige Ressource für die Bioökonomie zu nutzen. Das Projekt Intelligence for Soil (I4S) ist ein Teil dieser Initiative und beschäftigt sich mit der Entwicklung eines integrierten Systems zur ortsspezifischen Düngung. Ein Ziel dieses Projektes ist die Etablierung einer mobilen Sensorplattform zur Bodenkartierung. Aufgabe der BAM ist dabei das Installieren und die Optimierung eines RFA Sensors für die online Messung direkt auf dem Feld. Die RFA ist eine zerstörungsfreie Technik, die kaum Probenvorbereitung benötigt und einen schnelle Multielement Analyse ermöglicht. Das schnelle Kartieren des Bodens ermöglicht später eine ortsspezifische Düngung mit Nährstoffen wie z.B. K, Ca und P.
Die vom BMBF unterstütze Forschungsinitiative BonaRes entwickelt Strategien um Boden als nachhaltige Ressource für die Bioökonomie zu nutzen. Das Projekt Intelligence for Soil (I4S) ist ein Teil dieser Initiative und beschäftigt sich mit der Entwicklung eines integrierten Systems zur ortsspezifischen Düngung. Ein Ziel dieses Projektes ist die Etablierung einer mobilen Sensorplattform zur Bodenkartierung. Aufgabe der BAM ist dabei das Installieren und die Optimierung eines RFA Sensors für die online Messung direkt auf dem Feld. Die RFA ist eine zerstörungsfreie Technik, die kaum Probenvorbereitung benötigt und einen schnelle Multielement Analyse ermöglicht. Das schnelle Kartieren des Bodens ermöglicht später eine ortsspezifische Düngung mit Nährstoffen wie z.B. K, Ca und P.
The presence of plastic debris and especially small plastic particles in marine ecosystems has been recognized in the 1970`s. Since then various other environmental systems all over the world, like rivers, lakes and biota have been found to be polluted by plastics. Lately, agriculturally used land, waste-water treatment and biogas facilities come into focus as possibly relevant distribution vectors. To monitor the situation and investigate distribution pathways, the need for fast and reliable analytical procedures is high.
Up to now, there is no standard procedure for sampling, concentrating and analyzing plastic particles in environmental samples. Our group recently reported the development of a new analyzing method for microscale plastic particles, thermal extraction desorption gas chromatography mass spectrometry (TED-GC-MS). This method consists of thermal extraction of the sample via thermogravimetric analysis, collection of the evolved gaseous decomposition products on a solid-phase adsorber and analysis of the loaded adsorber using Thermal-Desorption-GC-MS. This technique utilizes the characteristic decomposition products of polymers for identification and even quantification of plastics in environmental samples.
In the present work we investigated samples of fermentation residues taken from a biogas plant. The results of sample preparation, concentration and analysis are presented as well as a comparison with alternative methods.
The first analysis of environmental samples shows, that the use of TED-GC-MS is suitable to analyse microplastic in environmental samples. Compared to the micro-spectroscopic methods this method is faster and gives good hints to the occurrence of high loadings of MP in environmental samples. In consequence, the method allows the monitoring of the situation and the investigation of MP distribution pathways in environment, to assess the relevance of various inputs.
Die ThermoExtraktionDesorption-Gaschromatografie-Massenspektrometrie (TED-GC-MS) ist die wichtigste Methode der BAM zur Analyse von Mikroplastikpartikeln in Umweltproben. Mit wachsendem Erfahrungsschatz traten Komplikationen auf, bei deren Bewältigung das Analysensystem verbessert werden konnte. Das Poster präsentiert u. a. die Verbesserung der Nachweisgrenzen sowie die Eliminierung von Kontaminationsquellen aus gängigen Probennahmeverfahren.
Die weltweite Produktion von synthetischen Kunststoffen steigt stetig und ein Teil gelangt in die Umwelt. Die Kunststofffragmente werden durch Umwelteinflüsse zerkleinert und bilden schließlich Mikroplastik, dessen Gefährdungspotential intensiv diskutiert wird. Zur Beobachtung und Bewertung der Situation ist eine leistungsstarke und schnelle Analytik erforderlich, jedoch existieren noch keine harmonisierten Verfahren. Die ThermoExtraktionDesorption-GasChromatograpie-MassenSpektrometrie (TED-GC-MS) nutzt polymer-spezifische Zersetzungsprodukte und bietet durch ihre Schnelligkeit und Robustheit Vorteile gegenüber anderen Verfahren.
The pollution of the environment with microplastics MP (particles < 5mm) is a problem of increasing concern.1 A consistent methodology that facilitates detection of MP is still missing. Here we present the data recorded by applying different MP identification methods to a soil fortified with known amounts of MP.
Black microcolonial fungi represent a group of ascomycetes with similar adaptations for existing in natural and anthropogenically created extreme habitats. They exhibit slow yeast-like or meristematic growth, do not form specialized reproduction structures and accumulate the black pigment 1,8-dihydroxynaphthalene (DHN) in the multilayered cell walls. We chose the rock inhabitant Knufia petricola of the Chaetothyriales as a representative for developing methods for genetic manipulation, simulation of mineral weathering and study of symbiotic interactions. Here, we report on the expansion of the genetic toolkit by more efficient multiplex CRISPR/Cas9 using a plasmid-based system for expression of Cas9 and multiple sgRNAs and three additional resistance selection markers. The targeted integration of expression constructs by replacement of essential genes for pigment synthesis allows for an additional color screening of the transformants. The black-pink screening due to the elimination of pks1 (melanin) was applied for promoter studies using GFP fluorescence as reporter, while the black-white screening due to the concurrent elimination of pks1 (melanin) and phs1 (carotenoids) was used to identify transformants that contain the two expression constructs for co-localization or bimolecular fluorescence complementation (BiFC) studies. In addition, two intergenic regions (igr1, igr2) were identified in which expression constructs can be inserted without causing obvious phenotypes. Plasmids of the pNXR-XXX series (Schumacher, 2012) and new compatible entry plasmids were used for fast and easy generation of expression constructs and are suitable for use in other fungal systems as well.
Microcolonial black fungi ubiquitously inhabit sun-exposed natural and man-made surfaces of our planet. To promote genetic studies, which are hindered by slow growth, lack of sexual cycles and transformation difficulties, CRISPR/Cas9-based genetic tools were implemented (Erdmann et al. 2022, Front Fungal Biol). Now efficient targeted mutagenesis of the rock inhabitant Knufia petricola (Eurotiomycetes/Chaetothyriales) - as a representative of the polyphyletic group of black fungi - enables the elucidation of extremotolerance, oligotrophism, unusual types of cell division, mineral weathering and symbiotic interactions. Still more progress on assigning functions to yet unknown genes can be expected if a forward genetics approach is available. We chose the two-component Activator/ Dissociation (Ac/Ds) transposon system from maize for generating a collection of insertional mutants by in-vivo mutagenesis of K. petricola. For the optimal use of this genetic tool, an inducible promoter for the expression of the Ac transposase (AcTPase) and by this the regulatable transposition of the resistance cassette-containing Ds transposon is desired. However, endogenous promoters for nitrate assimilation and galactose catabolism - often used in fungi for regulatable gene expression - are not inducible by their substrates in K. petricola suggesting that the regulatory networks for nutrient acquisition differ significantly in oligotrophic fungi. Therefore, the metabolism-independent Tet-on system was combined with the AcTPase coding sequence and subsequently transformed into Ds-carrying K. petricola strains. In total, four auxotrophic Ac|Ds starter strains containing the Ds transposon at different position of ade2 or ura3 were generated. The cultivation of these strains with doxycycline for induction of TET::Ac and subsequent selection of cells on ADE/URA-lacking media resulted in prototrophic colonies (revertants) for some but not all Ac|Ds strains. Currently, the transposition events in the obtained revertants are studied to validate the procedure. First amplicon sequencing of excision sites revealed footprint patterns, proving the transposon jumped.
High-density polyethylene (PE-HD) is a widely applied plastic for fuel storage tank applications. But such tanks, filled with diesel or biodiesel, provide excellent environmental conditions for growth of a broad spectrum of fungi and various bacteria1. This can result in fuel contamination, engine plugging or possible (bio-) degradation2. Our research focusses on the initial attachment phase of Bacillus sp. and Pseudomonas aeruginosa isolated from a „dieselpest“2 on two distinctly PE-HD materials, typical for fuel storage tank applications, pre-damaged thermally and by UV-irradiation.
This poster summarizes the points that need to be addressed towards the standardization of an efficient procedure for the analysis of VVOC emissions: Standard mixture generation and investigations on mutual reactivity, selection of an appropriate sorbent combination, water management and choice of a suited GC column.
There is a need for an assessment of the emission properties of volatile organic compounds (VOCs) from consumer products. A method comparison was carried out to evaluate adapted and cost-effective procedures for such items. Smaller and automated emission chambers de-picted similar kinetics compared to a 203 L standard chamber. Toy samples made of PVC (Polyvinyl chloride) emitted more VOCs compared to other tested polymeric products. The emissions from 2 selected samples were studied to allow an evaluation of the resulting room concentration and external exposure of a child. Obtained concentrations were not of concern.
The project has developed a variety of new multifunctional and flexible building components for a healthier indoor environment. [H] house solutions are durable, energy efficient, safe and affordable. They are suitable for use in new buildings and for renovation. [H] house solutions cover aspects of long service life, reduced maintenance and long-term improvement of energy efficiency.
Beton ist als Massenbaustoff vielseitig einsetzbar. Eine der neuesten Entwicklungen ist Ultrahochleistungsbeton (UHPC). Seine besonderen Eigenschaften ermöglichen eine zusätzliche Funktionalisierung der Oberflächen, da annähernd beliebige Mikrostrukturen exakt abgeformt werden können. So lassen sich beispielsweise Fassadenelemente aus UHPC bereits bei ihrer Herstellung im Betonfertigteilwerk mit selbstreinigenden Oberflächen ausrüsten. Eine andere Möglichkeit ist eine Anwendung als Datenspeicher. Wie das Beispiel der Schallplatte aus UHPC zeigt, lassen sich Muster, die hier die Schallinformationen enthalten, exakt von einer Matrize kopieren.
Bisphenol A (BPA) is widely used in Polycarbonate (PC), Polyacrylic resins (PAR), Polysulfones (PSU), Epoxy resins (ER), and Polyetherimides (PEI). It is also used in recycled Polyvinyl chloride (PVC) [1–3]. These BPA-containing materials have a wide area of application, especially outside. All outdoor applications are exposed to a variety of environmental impacts, like temperature, solar radiation (physical influences), chemical influences (rain or ozone), biological influences (microorganisms), and mechanical influences (hail, sand). These impacts are damaging and aging the material which can be followed by leaching or migration of pollutants like Bisphenol A into the environment. Understanding the fate and behavior of the released pollutants is very important. Therefore, different transformation products of selected Bisphenols will be generated and analyzed.
Bisphenol A (BPA) is used in Polycarbonate (PC), polyacrylic resins (PAR), polysulfones (PSU), epoxy resins (ER), and polyetherimides (PEI). It is also applied in recycled polyvinyl chloride (PVC). Many outdoor applications are made from these BPA-based materials which are exposed to a variety of environmental impacts, like temperature, global radiation, rain, and others. This could lead to damaging and aging of the material which might cause leaching or migration of pollutants into the environment.
Understanding the fate and behavior of the released pollutants is very important. Therefore, different transformation products (TP) will be generated and analyzed:
1. To investigate the behavior of various bisphenols in wastewater treatment plants, possible technical TP are generated by UV irradiation. Simulation of Industrial wastewater treatment is realized by using the Fenton reaction, an advanced oxidation process.
2. To study the transformation of bisphenols in surface waters, global radiation will be simulated by using UVA lamps.
3. To simulate phase 1 metabolism, an electrochemical cell coupled to a mass selective detector is applied.
The analysis of metabolites and TP are achieved by a variety of gas and liquid chromatographic techniques coupled with mass spectrometry. The elucidation of the exact structure of the obtained TP and metabolites are done by 1H- and/or 13C-NMR experiments.
Bisphenol A (BPA) is used in Polycarbonate, Polyacrylic resins, Polysulfones, Epoxy resins, and Polyetherimides. It is also used in recycled Polyvinyl chloride [1–3]. BPA has been classified as a substance of very high concern (SVHC) under REACH [4] due to its endocrine disrupting properties. The German competent authorities want to reduce the content of BPA in the environment. Possible substitutes for BPA are Bisphenol B (BPB), Bisphenol E (BPE),
Bisphenol F (BPF), or Bisphenol S (BPS), as they are similar in structure.
BPA-based materials have a wide area of application especially outside. These outdoor applications are exposed to different external influences, including physical, biological, mechanical and chemical influences. This results in damage and aging of the material with leaching or migration into the environment. There, the substance is transformed by various transformation processes. The emerging metabolites and transformation products (TPs) can have different properties than the parent substance. Understanding the fate and behavior of the emerging pollutants is very important.
Therefore, different transformation products of selected bisphenols will be generated and analyzed:
To investigate the fate of different bisphenols in water treatment plants technical transformation products [5] will be generated by chlorination, ozonization, the Fenton reaction, and UV-radiation.
For the investigation of the fate of Bisphenols in surface water global radiation will be simulated with UVA-lamps
Simulation of phase-I-metabolism with an electrochemical cell coupled to mass spectrometry (EC-MS).
Separation and detection of antioxidants using a graphene based electrochemical sensor platform
(2019)
CVD-Graphene is ideally suited as an active element for electrical and electrochemical sensing platforms, since it provides for high sensitivity and low detection limit. Electrochemical sensors provide a simple way to measure analytes in fluids with high sensitivity without the need for complex instrumentation. Due to These aspects, graphene sensors are interesting for a wide range of applications in bio analytics. Antioxidants are natural or synthetic compounds, which inhibit oxidation processes and hence often find use as preservatives.
It has been suggested that the long-term consumption of diets rich in antioxidants is associated with a lower risk of developing diseases linked to oxidative stress. Gallic acid and ascorbic acid are representatives of antioxidants. We have developed a graphene-based sensor platform to separate and subsequently detect antioxidants. Graphene exhibits low detection limits for ascorbic acid and polyphenols. In this study, the sensing of gallic acid and ascorbic acid on bare CVD graphene in various solvents was investigated by Square Wave Voltammetry. Furthermore, the separation and detection of the bioanalytes by deploying different membranes were evaluated.
There is significant contamination of our water resources and an accelerating accumulation of hazardous species in the aquatic biosphere. Whether for instance mercury as a contaminant constantly released from a multitude of industrial processes or chemical warfare agents (CWAs) such as Tabun (GA), Sarin (GB) or Soman (GD) as highly toxic remnants of World War II, released from dumped containers upon their progressive corrosion, are concerned such hazards can cause serious problems to human health even at low concentration and monitoring them becomes increasingly essential. Conclusively, it is necessary to develop sensors for such hazards that combine high sensitivity, good selectivity, fast responses and can dispense with complex instrumentation.
Here, we present SBA-15-type mesoporous silica materials containing boron–dipyrromethene (BODIPY) probes in their pore systems that allow for the sensitive and selective detection of the two target analytes CWAs and Hg2+ in natural waters via a change in the optical properties. In case of Hg2+, the BODIPY dye is directly adsorbed on the (inner and outer) surface of the highly porous material and coordinates the metal ion, leading to an enhancement of fluorescence with a limit of detection (LOD) of 15 ppt. Using the same silica material but incorporating a covalently attached BODIPY dye, the CWAs GA, GD and GB can be detected via fluorescence quenching induced by an intraannular cyclization. The obtained LOD in natural waters is in the pM range and hence below the Maximum Permissible Concentrations for CWAs in drinking water. Aspects of system design as well as application in water and food analysis (fish extracts) will be presented.
Pollution through emission of toxic gases is of utmost environmental concern, raising the interest in developing reliable gas sensors. Exemplarily, ammonia and its conversion products can provoke considerable damage on human health and ecosystems. Hence, there is a need for reliable and reversible sensor materials to monitor traces of gaseous ammonia in ambient air, which at best can be used on-site for field measurements. Although various types of sensors such as potentiometric, amperometric, and biological sensors are available for detecting trace amounts of gases, fluorescent sensors have gained importance due to several advantages such as high sensitivity, possible miniaturization, as well as potential multiplexing. Herein, we present the development of a sensor material for gaseous ammonia in the lower ppm or even ppb range using optical fluorescence as transduction mechanism due to its intrinsically high sensitivity and high spatial resolution.[1] Therefore, a fluorescent dye, which shows reversible fluorescence enhancement in the presence of the analyte was incorporated into a polymer matrix, the latter to ensure the accumulation of ammonia. To calibrate the designed optical sensor system a gas standard generator was used, producing standard gas mixtures, which comply with the metrological traceability for ammonia gas standards in the desired environmentally relevant measurement range.[2] Beside the development of a highly sensitive, selective, and reversible sensor, the integration of such systems into mobile sensor devices is addressed. Therefore, a prototype of a miniaturized hand-held instrument was developed enabling a straightforward and long-term read-out of the measurement signal.
Besides the traditional areas of application such as separation and enrichment which made molecularly imprinted polymers (MIPs) very attractive, they have emerged as a valuable detection tool in the field of environmental analysis due to the low production costs, high stability, format adaptability and the possibility to imprint and thus specifically recognize a wide variety of target analytes. Regarding optical sensing, however, MIPs have only been used in considerably few applications, especially in fluorescence sensors, basically because of the challenge to incorporate a fluorescently responding moiety into a polymer matrix. One way to overcome this limitation is the coating of a thin MIP layer onto the surface of silica nanoparticles using tailor-made fluorescent indicator monomers or cross-linkers for direct transfer of the binding event into an optical signal.
Regarding sensors for environmental monitoring, microfluidic devices utilizing optical detection modules are especially appealing because of their versatility in terms of miniaturization and automation. So far, MIPs have only rarely been used in combination with microfluidic sensor devices.
Here, we present the hydrogen bond-mediated optical response of fluorescent MIP sensor particles against a typical small-molecule analyte 2,4-D (2,4-dichlorophen¬oxyacetic acid) which is an important herbicide widely used in agriculture and known to cause adverse health effects when ingested by contaminated water. By combining the sensor particles with droplet-based 3D microfluidics, a microfluidic phase-transfer assay was designed which enables the direct analysis of 2,4-D in river and lake water without sample pre-treatment or clean-up.
Ammonia and its reaction products can cause considerable damage of human health and ecosystems, increasing the necessity for reliable and reversible sensors to monitor traces of gaseous ammonia in ambient air directly on-site or in the field. Although various types of gas sensors are available, fluorescence sensors have gained importance due to advantages such as high sensitivity and facile miniaturization.
Here, we present the development of a sensor material for the detection of gaseous ammonia in the lower ppm to ppb range by incorporation of a fluorescent dye, which shows reversible fluorescence modulations as a function of analyte concentration, into a polymer matrix to ensure the accumulation of ammonia. A gas standard generator producing standard gas mixtures, which comply with the metrological traceability in the desired environmentally relevant measurement range, was used to calibrate the optical sensor system. To integrate the sensor material into a mobile device, a prototype of a hand-held instrument was developed, enabling straightforward data acquisition over a long period.
Depending on the specific plastic’s ageing sensitivities, the durations which plastic components remain in the environment can be very long. As, in the past, the advantages in ageing resistance and durability were highly evaluated, we now face the problem of quite stable plastic waste within the environment.
However, there is only little knowledge on the real timescales until macroscopic fragmentation for the different kinds of plastic under various environmental conditions.
Here, weathering methods are presented, which have been used for the failure prediction in specific outdoor conditions. Issues of uncertainty, reproducibility, or validation are discussed.
For the prediction of the plastic’s fragmentation, much longer time scales have to be considered. To do this within a limited project life span, various processes as well as their acceleration potential have to be evaluated separately, such as temperature increase or spectral shift.
The possibilities and limitations of such controlled acceleration will be discussed.
Iron is arguably the most essential metal in living organisms. For rock-inhabiting fungi its acquisition might be unconventional as they (1) tend to inhabit iron-deficient, oxygen-rich surfaces like marble monuments and solar panels and (2) produce the black, iron-adsorbing pigment melanin. We used a range of analytical methods, ongoing mineral dissolution experiments and gene deletion mutants of the model rock-inhabiting fungus Knufia petricola to figure out the mechanisms and substrate deteriorating effects of iron uptake by these organisms. To study both siderophore-mediated and reductive iron assimilation (RIA), genes like sidC, encoding a putative siderophore synthetase and ftr1 and fet3 encoding the subunits of an iron permease-oxidase were deleted.
At iron deficient conditions, growth of the wild type (WT) and ΔsidC mutant was similar, whereas growth of the Δftr1-fet3 mutant and the double mutant ΔsidC/Δftr1-fet3 was diminished and absent, respectively. We were not able to detect the siderophore of K. petricola and the WT and mutants were not able to grow at low concentrations of strong iron chelators. However, in a cross-feeding experiment, an overexpression strain of sidC allowed more growth of ΔsidC/Δftr1-fet3 on iron deficient medium than the WT, whereas the ΔsidC mutant could not do so at all. Compared to the WT, the sidC overexpression strain also withstood oxidative stress better and had a shorter lag time and higher growth rate. Combined, these results indicate that K. petricola relies more on RIA than siderophore-mediated uptake as it likely excretes low quantities of a primarily intracellular siderophore. Interestingly, Δftr1-fet3 had a higher iron content than the WT at iron deficient conditions. This difference disappeared upon deletion of melanin synthesis (Δpks1 vs. Δpks1/Δftr1-fet3): melanin-bound iron can likely not be used without RIA. K. petricola’s chelation incapacity implies a habitat free of competition for iron while offering us a mitigation strategy.
Microbiological biofilms on rocks are ubiquitous in nature and their influence on soil formation through rock weathering has been shown (Gorbushina 2007). However, most previous studies on rock weathering are limited to understanding the physical and chemical aspects overlooking the impact of biota. Due to the enormous amounts of variables that come with a biological process, the quantification of its influence is only possible by using well-controlled and simplified laboratory models. Thereby gaining more insight on the impact of rock inhabiting biofilms on mineral weathering. This presentation will show the impact of biotic weathering in terms of olivine dissolution rates
Natural forsterite was incubated in batch reactor flasks with and without a model consortium consisting of the phototrophic cyanobacterium Nostoc punctiforme and the rock-inhabiting ascomycete Knufia petricola, and submerged in a growth solution (pH 6). The flasks were incubated for 30 days under 25°C, 90 µmol photons/m2s and were shaken at 150 rpm. qPCR was performed to quantify the cell number of both organisms, BET to gather the specific surface of the used olivine and ICP-OES to follow up the change of concentration of the leached out metals.
Our results show that our model consortium, especially K. petricola does increase the dissolution rate of olivine. The pH increased from the initial 6 to around 7.2 for all setups. Initially Mg was preferentially released over Si (Mg/Si of 3.5), until after two days the ratio starts equilibrating around stoichiometric dissolution. During this timeframe the dissolution rate drops by nearly two orders of magnitude, just as observed by Daval et al., (2011). The difference in dissolution rates between the different setups is initially non-existent, but increases over time. After 30 days the setup with K. petricola gives a dissolution rate of 1.08 10-13 moles/cm2s, compared to 9.23 10-14 moles/cm2s for the abiotic setup.
We expect this study to cause awareness on the impact of microbiology on mineral weathering. Additionally it is a starting point for other, more complicated experiments using for instance flow through or drip flow reactors or other minerals.
Advanced oxidation processes have become an important part of research due to their capacity to degrade many environmental pollutants during water treatment. Especially the heterogeneous photocatalysis is a promising method because it often results in a full mineralization of many hazardous compounds. Incomplete degradation reactions can result in transformation products due to oxidative conditions. The transformation products may have a higher toxicity than the precursor substances and are often only partly removed during water treatment. Since a lot of these compounds are still unknown, transformation products are not detected by target analysis used in sewage treatment plants and are often released into the aquatic ecosystems. Therefore, extensive and effective non-target analytical methods are necessary for the monitoring and identification of the transformation products which can be generated during waste water treatment.
Titanium dioxide (TiO2) is the most frequently used photocatalyst because of its inexpensiveness, non-toxicity, chemical stability and its high photocatalytic activity. If TiO2 is irradiated electron-hole pairs are generated on the surface of the TiO2, resulting in the formation of active oxidized species such as hydroxyl radicals which can react with environmental pollutants.
A model system has been developed to simulate photocatalytic reactions in a laboratory scale. The commonly used pharmaceuticals metformin and gabapentin were selected as model substances because of their high input in waste water and the little information about their fate during water treatment. Metformin is the drug of choice for treating type 2 diabetes. More than half of the total amount of pharmaceuticals in the environment are the antidiabetic agent metformin and its major transformation product guanylurea. Gabapentin is used as antiepileptic drug and for the treatment of neuropathic pain. It is found in waste water influent in the high ng/L range.
First results of the optimization of the photocatalyst and its application are shown.
In recent years advanced oxidation processes have become an important part of research due to their capacity to degrade many environmental pollutants during water treatment. Especially the heterogeneous photocatalysis is a promising method because it often results in a full mineralization of many hazardous organic compounds. However incomplete degradation reactions during this process can result in transformation products due to the oxidative conditions. The transformation products may have a higher toxicity than the precursor substances and are often only partly removed during the waste water treatment. Since a lot of these compounds are still unknown, the transformation products are not detected by target analysis used in sewage treatment plants and are often released into the aquatic ecosystems. Therefore, extensive and effective non-target analytical methods are necessary for the monitoring and identification of the transformation products which can be generated during waste water treatment. Among various semiconductors, titanium dioxide (TiO2) is the most frequently used photocatalyst because of its inexpensiveness, non-toxicity, chemical stability and its high photocatalytic activity. If TiO2 is irradiated with light of an energy higher than the band gap of the semiconductor, electron-hole pairs are generated on the surface of the TiO2, resulting in the formation of active oxidized species such as hydroxyl radicals which can react with environmental pollutants. To study photocatalytic reactions, a model system has been developed to simulate environmental relevant conditions for photocatalytic reactions of organic substances on a laboratory scale. The commonly used pharmaceuticals metformin and gabapentin were selected as model substances because of their high input in waste water and the little information about their occurrence, behavior and fate in the environment. Metformin is the drug of choice for treating type 2 diabetes. The drug therapy for diabetes mellitus has increased significantly in recent years. More than half of the total amount of pharmaceuticals in the environment are the antidiabetic agent metformin and its major transformation product guanylurea. Gabapentin is an analogon of the neurotransmitter γ-aminobutyric acid (GABA) which is used as antiepileptic drug and for the treatment of neuropathic pain. Gabapentin is found in waste water influent in the high ng/L range.
First results of the optimization of the photocatalyst and its application are shown.
For years there have been more and more reports on the presence of drugs in the aquatic environment. Due to the demographic change, the consumption of pharmaceuticals has risen sharply. After taking the drugs, they are partly metabolized in the human body. However, the metabolism is not complete so that both the metabolites and non-metabolized amounts of the parent compounds are excreted. These compounds reach the waste water and afterwards the sewage treatment plants. In sewage treatment plants transformation products can be formed by the oxidative conditions during wastewater treatment processes. The transformation products may have a higher toxicity than the actual environmental pollutants and are often only partly removed during the waste water treatment. Since a lot of these compounds are still unknown, the transformation products are not detected by target analysis used in sewage treatment plants and are often released undetected in the aquatic ecosystems. The released substances may be subject to additional transformation processes in the environment. Pharmaceuticals produced in high amounts can be already detected in the μg/L range in water bodies worldwide.
Metformin and its major transformation product guanylurea are one of the main representatives. Metformin is the drug of choice for treating type 2 diabetes. The drug therapy for diabetes mellitus has increased significantly in recent years. In the year 2015 1500 tons of metformin were prescribed in Germany (for statutory insured persons). Metformin is not metabolized in the human body and is excreted unchanged therefore concentrations between 57 μg/L and 129 μg/L are found in German waste water treatment plants influents.
In this work the transformation of the antidiabetic drug metformin is investigated. The degradation of metformin is initialize by commercial water treatment techniques like UV-radiation or noncommercial techniques like heterogenous photocatalysis based on titanium dioxide. The degradation of metformin and resulting transformation products are analyzed by LC-MS/MS and LC-HRMS.
Das Ziel dieses Projektes ist die Entwicklung neuer Materialien, um den Rückhalt von Mikroplastik-Partikeln (MP) aus verschiedenen urbanen Eintragspfaden (Kläranlagenablauf, Mischwasserüberlauf und Straßenabfluss)zu optimieren.
Die im Rahmen des Projekts entwickelten Materialien sollten auf ihre Rückhaltefähigkeit von MP aus dem Kläranlagenklarlauf getestet werden. Für die Probenahme sowie für die Analytik wurden die entwickelten und optimierten Probenahme- sowie Analysetechniken angewendet.
Das Ziel des OEMP-Projektes ist die Entwicklung neuer Materialien, um den Rückhalt von Mikroplastik-Partikeln (MP) aus verschiedenen urbanen Eintragspfaden (Kläranlagenablauf, Mischwasserüberlauf und Straßenabfluss) zu optimieren. Grundlage für die Bewertung ist die Entwicklung von geeigneten Untersuchungsverfahren (Probennahme, Probenaufbereitung, Detektion) zur Qualifizierung und Quantifizierung von MP in den relevanten Umweltmatrices. Diese Verfahren müssen zeiteffizient und zuverlässig sein.
Genetic manipulation of protective pigments in a rock-inhabiting model fungus Knufia petricola A95
(2016)
Sub-aerial biofilms typically form on bare rock. They consist of 99% cell material and extracellular polymeric substances (EPS) metabolising at low water availability. Rock-inhabiting melanised fungi represent an important part of the microbial community in these environments, playing important roles in the colonisation of mineral surfaces, rock weathering and soil formation in the ecological/geochemical context. Different cellular stress responses make rock-inhabiting ascomycetes fit for survival under extremely changing irradiation, as well as water, energy sources and nutrient availability. Melanised, rock-inhabiting fungi possess multiple protective pigments, form facultative symbiotic associations with photobionts and weather minerals. Melanised fungi build a protective layer around the cell that is critical in adhesion to other living partners, for the colonisation of the substrate and in the subsequent damage of the colonised surface. We chose Knufia petricola (Chaetothyriales) as a model species to analyse colonisation of surfaces. The basic physiology of K. petricola strain A95 is studied, its full genome sequence has been prepared for annotation and methods for deleting specific genes have been established. Unique features of K. petricola including the protective pigments (melanin and carotenoids) and EPS/cell wall properties are now being dissected genetically. As K. petricola strain A95 is in the basic clade of Chaetothyriales, it is an ancestor of both important human pathogens including Exophiala and lichens from the Verrucariaceae family. For this reason studies with A95 can help clarify the basis of fungal pathogenicity – as well as explain interactions with microscopic phototrophic partners like unicellular green algae and cyanobacteria. With Knufia petricola we will establish a canon of experimental approaches to characterise and quantify fungi that actively contact inanimate solid materials. The set of methods developed for Knufia will be adapted to heavily melanised and EPS-producing ascomycetes and can be broadly applied to medically important as well as material-colonising fungi.
A genetic toolbox for exploring the life style of the rock-inhabiting black fungus Knufia petricola
(2020)
After their discovery on rock surfaces in cold and hot deserts, a polyphyletic group of ascomycetous black fungi was found to dominate a range of hostile environments – natural and man-made, from salterns to dishwashers, roofs and solar panels. Together with bacteria and algae they may establish subaerial biofilms and cause weathering of the surfaces they grow on. Their impressive survival abilities as well as their constitutive protective pigmentation and cluster-like microcolony organisation are similar in environmental isolates as well as in heat-tolerant opportunistic pathogens of animals and humans. The exact genetic properties that ensure their survival in extreme environments can be studied if some black fungi were amenable to genetic manipulations. We selected the rock-inhabiting fungus Knufia petricola (class Eurotiomycetes, order Chaetothyriales) that grows moderately in axenic culture and exhibits all the characteristics of microcolonial black fungi such as yeast-like cell growth, absence of reproductive structures and constitutive dihydroxynaphthalene (DHN) melanogenesis (Nai et al. 2013, Fungal Genet Biol). We developed protocols to efficiently generate and transform protoplasts resulting in stable homokaryotic transformants by targeting genes involved in pigment synthesis and expressing fluorescent reporter genes. Hence, endogenous and foreign genes can be expressed from episomal AMA1-containing plasmids and genome-integrated DNA constructs. Moderate rates of homologous recombination allow for both ectopic and targeted integrations. CRISPR-Cas9 was further validated as a strategy for obtaining selection marker-free mutants and silencing via RNA interference as an approach to study essential genes. Availability of this genetic toolbox and an annotated genome sequence of the strain A95 is paving the way for studying interactions of K. petricola with environmental stressors, material surfaces, soil matrices and phototrophic symbionts.
A Genetic Toolbox for Exploring the Life Style of the Rock-inhabiting Black Fungus Knufia petricola
(2019)
After their discovery on rock surfaces in cold and hot deserts, a polyphyletic group of ascomycetous black fungi was found to dominate a range of hostile environments – natural and man-made, from salterns to dishwashers, roofs and solar panels. Together with bacteria and algae they may establish sub-aerial biofilms and cause weathering of the surfaces they grow on. Their impressive survival abilities as well as their constitutive protective pigmentation and cluster-like microcolony organisation are similar in environmental isolates as well as in heat-tolerant opportunistic pathogens of animals and humans. The exact genetic properties that ensure their survival in extreme environments can be studied if some black fungi were amenable to genetic manipulations. We selected the rock-inhabiting fungus Knufia petricola (class Eurotiomycetes, order Chaetothyriales) that grows moderately in axenic culture and exhibits all the characteristics of black yeasts such as yeast-like cell growth, absence of reproductive structures and constitutive dihydroxynaphthalene (DHN) melanogenesis. For this environmental strain we developed protocols to efficiently generate and transform protoplasts resulting in stable homokaryotic transformants by targeting genes involved in pigment synthesis and expressing fluorescent reporter genes. Hence, endogenous and foreign genes can be expressed from episomal AMA1-containing plasmids and genome-integrated DNA constructs. Moderate rates of homologous recombination allow for both ectopic and targeted integrations. CRISPR-Cas9 was further validated as a strategy for obtaining selection marker-free mutants and silencing via RNA interference as an approach to study essential genes. Availability of this genetic toolbox and an annotated genome sequence is paving the way for studying interactions of K. petricola and other black yeasts with environmental stressors, material surfaces, soil matrices and phototrophic symbionts.
One-part-geopolymers, produced by addition of water to a mixture of solid silica and sodium alumi-nate, are a less exhaustively studied approach to form geopolymeric binders. Depending on the silica source, the reaction products show significant amounts of zeolite Na-A besides amorphous compounds. Previously, 29Si MAS NMR has been used to analyze the chemical structure of such one-part geopolymers, having crystalline structures and amorphous phases (Q2, Q3, Q4).
In this work, pure zeolites and three different one-part-geopolymers cured for 1 day were investigated by 29Si-27Al TRAPDOR NMR. It was used to identify aluminum phases in overlapping silicon sites. Zeolites Na-X (Si/Al=1.4) and Na-Y (Si/Al=2.7) served as model systems to measure the TRAPDOR effect of the structural units Q4(mAl). Both materials show several Q4(mAl) signals, which are all separated by their chemical shifts. The more aluminum surrounds the silicon tetrahedron the higher are the normalized TRAPDOR difference signals (S0/∆S). The intensity ratios between Q4(mAl) to Q4({m-1}Al) of these signals is fixed but vary slightly between both zeolites. These results are transferred to the complex geopolymer structure.