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Due to the demand of monitoring the water quality regarding emerging pollutants, such as drug residues, selective, high-throughput and multi-target analytical methods must be established. On the one hand, the influence of sewage on natural surface waters must be routinely monitored. 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, offer the possibility to be highly sensitive and selective due to the high target affine and specific recognition of antibodies to target molecules. Batch-wise processing in microtiter plates allow the necessary high-throughput, but only a single analyte can be determined within one measurement.
To overcome these disadvantages, we developed a four-plex micro-bead 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 f ecal marker isolithocholic acid are covalently coupled to amino-groups on the surface via NHS-chemistry. A competitive immunoassay is subsequently conducted in a simple mix-and-read procedure. Finally, we could use SAFIA to assess the influent of treated and untreated waste water on the Douro river estuary in Portugal. The results of the analysis are comparable to ELISA. However, measurements could be carried out in 25% the time of analysis.
Coulometric sensors were tested in humidified synthetic air at various gas temperatures. Generated frost point temperature in the gas ranged from -30 °C to -60 °C and were measured by coulometric sensors and in addition by a calibrated dew point hygrometer. The gas temperatures, which were measured by a calibrated Pt100 sensor, were set to -20 °C, 0 °C, 23 °C, 40 °C, 50 °C, and 60 °C during the experiments. Empiric nonlinear functions were calculated between the humidity and the sensor signal. In comparison to the measured signals at 23 °C, the sensor signals were lower at the other gas temperatures. Measurements at 60 °C showed indistinct results due to a great signal noise. The response behavior of the sensors was similar at 23 °C, 40 °C and 50 °C. In contrast to that, the sensors reacted slowly at a gas temperature of -20 °C and 0 °C. In summary, with coulometric sensors it was possible to measure continuously trace humidity with an expanded uncertainty below 2 K.
Anemophilous plants produce pollen grains, which promote allergies. Therefore, pollen are monitored to provide a national information network. Their conventional identification and differentiation is performed by time-consuming microscopic examinations based on the genus-specific pollen morphology. A variety of spectroscopic and spectrometric approaches have been proposed to develop a fast and reliable pollen identification using specific molecular information. Amongst them, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) showed a high potential for the successful investigation of such complex biological samples. Specifically, it was illustrated that MALDI-MS imaging provides a powerful tool to identify pollen grains in pollen mixtures on the basis of ion intensity plots. More recently, the evaluation of the obtained peak patterns from pollen mass spectra with multivariate statistics enables a consistent and rapid identification of the taxonomic relationships. A novel application using conductive tape on the MALDI target simplifies sample preparation and enhanced the quality of the mass spectra. This led to a comprehensive analysis of the MS patterns, which is important when identifying pollen grains from different plant species in mixtures.
Here, we present further developments in MALDI-MS imaging of mixtures of pollen from different plant species. By combining conductive tape sample preparation with MALDI MSI and chemometric analysis, first promising results were obtained. In addition, we discuss the ability of partial least square regression (PLS-R) to identify pollen species based on independent reference spectra and present first results obtained with artificial pollen mixtures. These methods will be used in future online identification of pollen species in natural pollen mixtures.
Anemophilous plants produce pollen grains, which have to be monitored to provide a national information network for persons suffering from an allergy. The current conventional characterization and identification of pollen is performed by time-consuming microscopic examinations based on the genus-specific pollen shape and size. These examinations need proficient researchers, are not statistically validated, and additionally rely on relatively inaccurate observations of the pollination process.
A variety of spectroscopic and spectrometric approaches have been proposed to develop a fast and reliable pollen identification using specific molecular information. Amongst them, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) was recently applied for the rapid investigation of such complex biological samples. The combination of obtained peak patterns from pollen mass spectra and multivariate statistic provide a powerful tool for identifying taxonomic relationships. A novel application based on the use of conductive carbon tape as MALDI target simplified the sample preparation and yielded enhanced the quality of the mass spectra. This led to a sufficient statistical analysis of the MS pattern, which is important when identify pollen grains in natural species mixtures.
Based on this approach, promising results could be obtained by MALDI-TOF MS imaging (MSI) of artificial pollen mixtures followed by multivariate analysis. Of special interest is here the determination of the detection limit (number of pollen grains). Therefore, different pollen grain compositions were investigated for quantitative profiling of each individual pollen species within these complex mixtures. Our results can be used to improve the taxonomic differentiation and identification of pollen species and might be useful for the development of a routine method to identify pollen based on imaging mass spectrometry.
Accurate measurements of stable isotope abundance ratio variations are often reported using artifact based delta-scales, which rely on suitable isotopic reference materials (iRM) for their realization. For example, variations in the 26Mg/24Mg isotope abundance ratio in natural systems are typically reported as delta26Mg values that represents the relative difference between the 26Mg/24Mg ratio measured in a sample relative to its measurement preferably in an iRM. In the past, such delta26Mg measurements were referenced to NIST SRM 980, the initial zero of the delta26Mg scale. With the development of MC-ICPMS, the detection of small but measurable isotopic differences in different chips of SRM 980 became apparent. It was then replaced by a Mg solution (DSM3), the new zero of the delta26Mg scale. A potential replacement iRM for DSM3 has been developed, ERM-AE143. This iRM has also been measured for its absolute isotope amount ratios1,2 making it traceable to the SI.
The results of a delta26Mg intercomparison experiment include the Mg iRMs SRM 980, IRMM-009, ERM-AE143, AE144, AE145 standards DSM3 and Cambridge-1. The intercomparison involved 5 expert laboratories, consisting of 3 national metrological institutes (BAM, NIST, PTB) and 2 scientific research laboratories (GFZ Potsdam, UBremen).
The iRMs were measured relative to AE143 and cover a range of ≈5 ‰ in delta26Mg. IRMM-009 has the lowest delta26Mg value while DSM3 has the highest, spanning a range in values that covers natural Mg isotope variations. The 2SD reproducibilities of the individual values from the different laboratories range from 0.02 to 0.26 ‰. The mean delta26Mg values, calculated from the laboratory means however show 2SD reproducibilities varing between 0.025 and 0.093 ‰. Propagated measurement uncertainties suggest a standard uncertainty of about 0.1‰ for delta26Mg determinations.
1 JAAS, 2015, 31,179; 2JAAS, 2016, 31, 1440
In micro or nano particles development it is important to understand and control the particle structure, as it affects among other things the potential further surface functionalisation/modification possible.
This work shows the capability of resonant mass measurements (RMM) to measure the mass and density of micron sized particles. The technology utilizes a suspended MEMS microchannel resonator, through which individual particles transit across the resonator altering the resonant frequency, which is then detected using an optical-based method. Changes in frequency observed when a particle enters the microchannel resonator are proportional to the buoyant mass of the particle, and can be translated into mass, size or surface area. RMM therefore allows particle concentration to be determined as well as particle mass in a single measurement.
Furthermore, a method for estimating the density distribution of particles from RMM measurements has been developed. This uses the convolution of the buoyant mass distribution of the particles obtained when suspended in different fluids.
By combining the data from the density and mass determinations, small mass shifts arising from applying a coating to a particle can be estimated, and the resulting shell thicknesses calculated. These methods have been applied to silica coated and uncoated polystyrene latex particles.
RMM shows that it can be used to measure, and distinguish between, silica shell thicknesses that are in the order of 10 to 55 nanometres on hybrid micron-sized particles. RMM can also determine the shell density.
Polycrystalline Ni materials with grain sizes less than 100 nm (nano crystalline NC) and with grain sizes in the micrometer range (micro crystalline MC) in form of thin films have become important in many technologies due to their improved physical, chemical and mechanical properties. Usual the mechanical properties of such coatings are described by a Hardness value and a Young´s modulus measured by Instrumented Indentation Testing (IIT).The behavior of such coatings during indentation test is influenced by different size effects having their representative length scale – grain size, coating thickness, length that characterizes the depth dependence of the hardness (Indentation Size Effect ISE). To estimate realistic values for the intrinsic coating Hardness and Young´s modulus all size effects have to be considered.
For this work thin nano crystalline Ni – coatings (average grain size 30 nm) with thickness from 1 μm to 5 μm were electrodeposited on brass substrates. Indentation tests in the continuous stiffness measurement (CSM) mode were provided on as prepared Ni – coatings using a G200 Nanoindentation system (Fa. Keysight). For estimation of the intrinsic hardness of the coatings from composite hardness values calculated from the measured force –displacement curve using the Oliver & Pharr method, the model described by Z.S. Ma [1] was used.
It was found that the experimental data can be well described by the model. The fitted values for the intrinsic hardness and the fitting parameters will be given. The different values of intrinsic hardness and of length characterizing depth dependence of the hardness for different coating thickness are discussed as results of changes in the coating structure because of changes in deposition parameters.
[1] Z.S. Ma, Y.C. Zhou, S.G. Long, C. Lu: On the intrinsic hardness of a metallic film/substrate system: Indentation size and substrate effects. International Journal of Plasticity 34 (2012) 1-11.
This work is supported by European Metrology Program for Innovation and Research (EMPIR)
(JRP 14IND03 Strength – ABLE)
Self-assembly of TiO2 nanoparticles in multiple layers by layer-by-layer deposition has been selected of different deposition procedures usually applied for fabrication of TiO2 thin films with defined and homogeneous thickness on supports of interest for the large-scale applications. The substrates tested were: conductive (FTO) glass, silica glass and titanium alloy. The selected film fabrication technique consists of the deposition of alternating layers of oppositely charged, i.e. functionalized, TiO2 nanoparticle layers with wash steps in between. The controlled assembly of TiO2 nanoparticles on the supports surface requires both a proper functionalization of the supports to promote the adhesion of the TiO2 film to the substrates and proper functionalization of TiO2 nanoparticles to allow attachment to substrate and subsequent reaction between different NP layers. The current study focusses on the analytical control of the functionalization of the substrates with 3-Aminopropyltriethoxysilane (APTS) and glutaraldehyde (GA) by means of surface sensitive methods, XPS, Auger Electron Spectroscopy (AES) and ToF-SIMS. Chemical composition of surface of functionalized substrates shows differences in the degree and type of modification in dependence on substrate.
Manufacturing of new perovskite layered solar cells with constant high light conversion efficiency over time may be hampered by the loss of efficiency caused by structural and/or chemical alterations of the complex layered system. SEM/EDX combined with XPS were chosen as an appropriate methodical approach to characterize perovskite laboratory cells in depth and at surface, before and after light exposure. The layered perovskite system investigated here is based on glass covered with fluorine doped tin oxide (FTO), followed by thin films of TiO2, ZrO2 and a thick monolithic carbon. TiO2 film is subdivided into a dense layer covered by porous one constituted of nanoparticles (NPs) of truncated bipyramidal shape. This layered system serves as the matrix for the perovskite. EDX spectral maps on cross-sections of specimen have shown that Pb and I are distributed homogeneously throughout the porous layers C, ZrO2 and TiO2. SEM/EDX data show that 20 weeks of ambient daylight did not change significantly the indepth distribution of the elemental composition of Pb and I throughout the entire solar cell system. It was confirmed with EDX that NPs identified in high-resolution SEM micrographs contain mainly Pb and I, indicating these to be the perovskite crystals. However, a compositional and chemical altering began in the near-surface region of the outermost ~10 nm after 2 months of illumination which was observed with XPS.
The synthesis of TiO2 nanoplatelets with fluorine-containing reactants is carried out using Ti (IV) butoxide as precursor and concentrated HF as shape controller, the final product requires a working up in order to eliminate or at least to reduce the amount of residual fluorides, which is realized here by well-defined thermal treatment.
Qualitative investigation of the bulk elemental composition by means of EDX of TiO2 nanoparticles (NPs) has identified fluorine in case of the as-synthesized samples. EDX spectra of thermally treated products exhibit either a fluorine content close to the limit of detection. The latter holds also true for the reference sample, TiO2 NPs of bipyramidal shape and prepared by a different synthesis route. For differentiation whether fluorine is present in the bulk or at the surface of the TiO2 nanoplatelets, top-surface sensitive AES and ToF-SIMS has been applied. Secondary ions of fluorine are detected in ToF-SIMS spectra of all samples, but could be roughly quantified by measurement of same reference sample as for EDX, namely TiO2 nano-bipyramids. This revealed that the amount of fluorine within1 nm depth beneath the surface is reduced in the thermally treated specimen compared to the raw product down to a content about as low as in the reference sample. AES allows analyzing analysis of the first few nanometers from the top-surface of individual NPs by point analysis. An F KLL peak has been detected at the surface of samples of as-prepared TiO2 nanoplatelets under optimized measurement conditions, but was not detectable after their calcination, which is in agreement with ToF-SIMS results. Moreover, high resolution AES on single TiO2 nanoplatelets elucidated that the surface atomic layers surrounding the TiO2 nanopaltelet contain fluorides before thermal treatment of the NPs.
We report on the design, preparation and application of immobilized Oligonucleotides as biological sensors for dosimetry and protein activity. Oligonucleotides can be custom tailored in terms of sequence and length to the needs of the specific application. The preparation can be scaled from small lab-scales to higher output via spotting technology on various surfaces such as glass, silicon-dioxide or gold. They can be applied for the sensing of DNA-protein interaction and surface-plasmon resonance to detect the influence of cosolutes on the protein activity. This can be applied in the testing of pharmaceutical or cosmsetic applications and incorporated in microfluidic devices. Other important use cases are the usage in dosimetric application where the oligonucleotides are subjected to ionizing radiation. They can directly act as a sensor for biological damage which is detected and quantified by the subsequent hybridization of complementary strands who carry a fluorescence dye. The quantification can be performed by an array scanner or fluorescence microscope. Investigation on a molecular level can be performed with the AFM-IR technique. Applications are calibration of radiation sources and the investigation of interaction of ionizing radiation with biomolecules.
The damage caused by ionizing radiation to biomolecules, especially DNA, is the reason to treat cancer via radiation therapy. A better understanding of the molecular processes and the quantification of the various damaging mechanisms is the prerequisit to develope efficient therapies. Hereby the understanding of the processes involved in the damage to DNA are of key interest due to its central role in reproduction and mutation. Due to the high amount of water in biological tissue, most of the damage is caused by the secondary particles produced by the interaction of the IR with water. Thereby a multitude of species are produced, e.g. kinetic low energy electrons, prehydrated electrons, OH-radicals and ions. The quantification of the contribution to DNA damage of the various species is of interest. Here we present an experimental approach to disentangle their relative DNA strand break yield. Plasmid DNA is irradiated in water with electrons under the presence of different scavengers. With the presented method it will be possible to reveal the relative contributions of OH-radicals, low energy electrons and prehydrated electrons to the DNA single and double strand break yield.
The ambient air quality around residential areas is influenced by industrial objects, including industrial sewage, livestock farming and landfill sites. These sites are generating malodours or toxic gases involving degradation of ambient air quality, which may constitute a risk in human health if maximum emission limits are exceeded. Therefore, appropriate tools allowing detection of harmful or bad odorous, subsequently contributing to a reduction of odour nuisance are greatly needed. The aim of this study was to demonstrate the capability of an electronic nose E-nose to discriminate various gas samples collected from six different sites from the agglomeration of Meknès city corresponding to municipal landfill, in the city at 2 km of landfill, industrial estate wastewater, traffic road, and sheep breeding. The investigations were carried out with an E-nose system based on an array of six-commercial MQ sensors. Further, a pattern recognition technique known as Principal Component Analysis (PCA), Linear Discriminent Analysis (LDA), and Support Vector Machines (SVMs) was implemented to study the discrimination capability of the sensor array. PCA results demonstrate excellent discriminating ability of the dataset with a score of 99.47 %. Additionally, another measurement database containing 12 air atmospheric samples was projected on the previously built PCA model to check the stability of the E-nose. The LDA was applied to the same dataset and showed a good discrimination between the ambient air samples of the six sites. Furthermore, SVMs technique was also used to build a classifier and reached a score of 100 % success rate in the recognition of the analysed samples. The obtained results of six areas demonstrate the increasing interests and the applicability of E-noses for ambient air quality classification of six areas caused by emitted decomposed organic matters.
Evaluation of particle sizing techniques for implementation of the EC Definition of a nanomaterial
(2017)
Many techniques are available for measuring particle size distribution. For ideal materials (spherical particles, well dispersed) it is possible to evaluate the Performance of these methods. The performance of the analytical instrumentation for the purpose of classifying materials according to EC Definition is unknown. In this work the performance of commercially available particle sizing techniques on representative NanoDefine set of real-world testing materials (RTM) and quality control materials (QCM) for the implementation of the Definition is evaluated.
Electrospray ionization constitutes a promising deposition technique for high-resolution imaging. Particle distribution on TEM grids takes place homogeneously and no losses occur. Suspension must be appropriate (stabilizer may induce artefacts). ESI parameters need to be optimized for each material.
Volume specific surface area (VSSA) by BET: concept and demonstration on industrial materials
(2017)
Volume specific surface area (VSSA) as measured by BET constituites a simple and reliable solution to (most) powders. Porous, coated, polydisperse/multimodal materials are to be treated with care, i.e. doubled by analysis with electron microscopy or more advanced BET analysis (e.g. t-plot)for each material in part.
Qualitative reference materials (RM) cover a wide range of the overall RM market. Proficiency testing providers attract up to a thousand of participants in PT schemes purely oriented on qualitative results. The RM used for these kinds of PT are poorly regulated, nevertheless with a more and more general acceptance of accreditation in the field of RM production and PT provision, there is an ever increasing interest in assessing producers and providers according to rules already well accepted in the field of quantitative analysis.
The basic governing document, ISO 17034:2016, is written in a form that, at least for the overwhelming majority of requirements, may be applied to both qualitative and quantitative RM. However, problems remain. In particular, the expression of uncertainty of a purely qualitative result is still unresolved, and under discussion, the latter now lasting already dozens of years.
Some handles would be needed. In the poster, existing approaches and some pragmatic, new ways to tackle the problem are displayed and discussed.
A scanning transmission x-ray microscopy (STXM) based methodology is introduced for determining the dimensions (shell thickness, core and total diameter) of core-shell nanoparticles which exhibit a strong x-ray absorption contrast and a well-defined interface between core and shell material. A low radiation dosage during data acquisition and, therefore, less x-ray beam induced damage of the sample is achieved by recording STXM images only at two predetermined energies of maximum absorption contrast, instead of recording a stack of images across the whole absorption edge. A model core-shell nanoparticle, polytetrafluoroethylene (PTFE) cores with polystyrene (PS) shell, is used for demonstration. Near edge x-ray absorption fine structure (NEXAFS) spectroscopy confirms the significant difference in x-ray absorption behavior between PTFE and PS. Additionally, due to the insolubility of styrene in PTFE a well-defined interface between particle core and shell is expected. In order to validate the STXM results, both the naked PTFE cores as well as the complete core-shell nanoparticles are examined by scanning electron microscopy (SEM). The introduced STXM based methodology yields particle dimensions in good agreement with the SEM results (deviation equal or less than 10%) and provides additional information such as the position of the particle core which cannot be extracted from a SEM micrograph.
Seit dem Beginn der Anwendung der aktiven Thermografie für die zerstörungsfreie Prüfung werden für die optische Anregung zwei alternative Anregungstechniken eingesetzt: die Puls- oder Blitzthermografie und die Lock-in-Thermografie.
Bei der Puls-Thermografie ist der Anregungspuls wesentlich kürzer als die Zeit, die für die Wärmediffusion in das Bauteil hinein benötigt wird. Die Auswertung der erfassten Abkühlsequenzen wird zurzeit im Wesentlichen mit zwei Verfahren durchgeführt. Für die Auswertung im Zeitbereich werden verschiedene Auswertungsmodi des TSR-Verfahrens (TSR: thermal signal reconstruction) und Verfahren zur möglichst frühzeitigen Detektion des Intensitäts- oder Temperaturkontrastes der Fehlstellen herangezogen. Alternativ kann die Auswertung im Frequenzbereich nach dem Verfahren der Puls-Phasen-Thermografie (PPT) erfolgen. Dabei wird die Abkühlsequenz als Überlagerung vieler Einzelschwingungen betrachtet (Fouriersynthese). Die entsprechenden Phasenkontraste können unter bestimmten Umständen zur Abschätzung der Fehlstellentiefe genutzt werden.
Bei der Lock-in Anregung wird das zu untersuchende Prüfobjekt periodisch mit einer bestimmten Frequenz erwärmt und die Wärmestrahlung von der Oberfläche zeitgleich mit der Infrarotkamera erfasst. Für jede Anregungsfrequenz ist daher eine Einzelmessung erforderlich. Die Auswertung bezieht sich in den meisten Fällen allein auf die Berechnung des Phasen- und Amplitudenbildes bei der Anregungsfrequenz. Diese Berechnung kann bereits während der Messung (on-line) oder erst nach der Erfassung der Thermogrammsequenz (off-line) erfolgen.
Gemäß dem Superpositionsprinzip, das wegen des linearen Charakters der Wärmeleitungsgleichung für alle Lösungen der Differentialgleichung gilt, besteht Äquivalenz zwischen einer monofrequenten Anregung bei Lock-in-Thermografie und einer entsprechenden Komponente gleicher Frequenz bei der Puls-Thermografie. Daher sollten die Puls-Thermografie und die Lock-in-Thermografie in den Phasenbildern für die gleichen Fehlstellen die gleichen Phasenkontraste ergeben. Die experimentelle Bestätigung dieser Äquivalenz für unterschiedliche Fehlstellenarten ist der Schwerpunkt dieses Beitrages. Mögliche Gründe für Abweichungen werden benannt und sind Grundlage für weitere Diskussionen.