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Eingeladener Vortrag
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Raw data from metabolomics experiments are initially subjected to peak identification and signal deconvolution to generate raw data matrices m × n, where m are samples and n are metabolites. We describe here simple statistical procedures on such multivariate data matrices, all provided as functions in the programming environment R, useful to normalize data, detect biomarkers, and perform sample classification.
Das Ziel der Arbeit war die Entwicklung einer magnetischen Anreicherungsmethode für eine Bead-basierte Substanzbibliothek zur Identifizierung von Proteinbindern. Im Ramen des Forschungsbelegs wurde bereits eine Anreicherungsmethode für ein Modellsystem einer Peptidbibliothek entwickelt. Das Modellsystem bestand dabei aus zwei verschiedenen Peptiden. Als Positivkontrolle wurde das FLAG-Peptid gewählt, welches selektiv gegen den Anti-FLAG-Antikörper bindet, und ein weiteres Peptid wurde als Negativkontrolle gewählt. Anhand dieses Modellsystems konnte die zuvor entwickelte Anreicherungsmethode von 20.000 auf 1.000.000 Beads vergrößert werden. Hierbei wurde ein Anreicherungsfaktor von 818 und eine gute Wiederfindungsrate von 82% erreicht.
In dieser Arbeit wurden drei verschiedene Nanomaterialien auf ihre Bindungsfähigkeit zu Proteinen untersucht. Zu Beginn standen dabei die Herstellung stabiler Dispersionen der einzelnen Nanopartikel und die Stabilität der gebildeten Konjugate im Vordergrund. Der Nachweis einer erfolgreichen Konjugatbildung, sprich der Beschichtung von Nanopartikel mit Proteinen, wurde sowohl qualitativ mittels DLS-Messungen als auch über quantitative Protein-Bestimmungen erbracht. Für die Quantifizierung konnten verschiedene Methoden eingesetzt werden. Neben der klassischen Vorgehensweise, welche indirekt über die Quantifizierung von ungebundenem Protein im Überstand erfolgt, konnten ihm Rahmen dieser Arbeit verschiedene direkte Bestimmungsmethoden entwickelt werden. So wurden mittels kolorimetrischer Tests, wie dem BCA-Assay und dem Bradford-Assay, Nanodiamantdispersionen mit Hilfe einer Korrekturwellenlänge vermessen und quantifiziert. Ebenso zum Einsatz kam die Methode der Aminosäureanalytik, welche aufgrund ihrer guten Rückführbarkeit auf Aminosäurestandards Ergebnisse mit hoher Richtigkeit generieren kann und ebenso die Detektion kleiner Proteinmengen möglich macht.
Nach den erfolgten quantitativen Betrachtungen wurden die Protein-beschichteten Nanopartikel auf ihre Anwendbarkeit als Analoga von Virus-like Particles (VLP) bei einer Immunisierung zur Gewinnung von polyklonalen Antikörpern gegen humanes Ceruloplasmin in Kaninchen überprüft. Es konnte mittels ELISA gezeigt werden, dass die Konjugate erfolgreich für die Herstellung von Antikörpern eingesetzt werden können und im zeitlichen Verlauf einer Immunisierung eine Steigerung des Antikörper-Titers zu erreichen ist.
Monitoring chemical reactions is the key to chemical process control. Today, mainly optical online methods are applied, which require excessive calibration effort. NMR spectroscopy has a high potential for direct loop process control while exhibiting short set-up times. Compact NMR instruments make NMR spectroscopy accessible in industrial and harsh environ¬ments for advanced process monitoring and control, as demonstrated within the European Union’s Horizon 2020 project CONSENS.
We present a range of approaches for the automated spectra analysis moving from conventional multivariate statistical approach, (i.e., Partial Least Squares Regression) to physically motivated spectral models (i.e., Indirect Hard Modelling and Quantum Mechanical calculations). By using the benefits of traditional qNMR experiments data analysis models can meet the demands of the PAT community (Process Analytical Technology) regarding low calibration effort/calibration free methods, fast adaptions for new reactants or derivatives and robust automation schemes.
A systematic study of the luminescence properties of monodisperse β-NaYF4: 20% Yb3+, 2% Er3+ upconversion nanoparticles (UCNPs) with sizes ranging from 12–43 nm is presented utilizing steady-state and time-resolved fluorometry.
Special emphasis was dedicated to the absolute quantification of size- and environment-induced quenching of upconversion luminescence (UCL) by highenergy O–H and C–H vibrations from solvent and ligand molecules at different excitation power densities (P). In this context, the still-debated Population pathways of the 4F9/2 energy level of Er3+ were examined. Our results highlight the potential of particle size and P value for color tuning based on the pronounced near-infrared emission of 12 nm UCNPs, which outweighs the red Er3+ emission under “strongly quenched” conditions and accounts for over 50% of total UCL in water. Because current rate equation models do not include such emissions, the suitability of these models for accurately simulating all (de)population pathways of small UCNPs must be critically assessed. Furthermore, we postulate population pathways for the 4F9/2 energy level of Er3+, which correlate with the size-, environment-, and P-dependent quenching states of the higher Er3+ energy levels.
Mycotoxins are toxic secondary metabolites produced by filamentous fungi. The contamination of mycotoxins in food and feed products has been recognized to be an important safety issue for human and animal health. In the context of food safety, medical herbs nowadays are also considered as potential source of mycotoxins. Considering that mycotoxins are generally stable compounds and could not be destroyed completely during food-processing operations, prevention of contamination is identified as main issue.
Currently, biochemical, and immunochemical methods based on the use of antibodies as a specific recognition bioreagents are increasingly found to be applied in screening. Along with good common enzyme linked immunosorbent assay (ELISA), more and more widely used method is fluorescence polarization immunoassay (FPIA). These methods help to monitor of many toxic substances in large number of samples and carried out quickly, easily, cheaply, and give good results in quantifying the one or more substances. That is why the use of immunochemical methods of analysis, such as ELISA and FPIA, is the most promising for solving this problem.
Thus, the aim of our work is to optimize the determination of mycotoxins by ELISA and FPIA in medical herbs. We selected antibodies and a tracer for the FPIA, then we constructed obtained a calibration curve and determined the sensitivity of this method for the samples in aqueous media. Then, the optimal sample preparation was elaborated: for spiked nuts samples were selected and prepared and a calibration curve was obtained with respect to the matrix effect. After that, the analysis of spiked nuts samples was performed by ELISA and FPIA and the sensitivity of both methods was compared.
Gegenstand der vorzustellenden Arbeiten ist die Prüfung der Umwelt-beständigkeit und -verträglichkeit von Materialien und Produkten hinsichtlich der Emission von potenziellen Schadstoffen in die Umwelt. Hierzu werden chemisch-physikalische Einflüsse (Bewitterung) und mikrobielle Beanspruchungen an Modellmaterialien evaluiert. So werden die Freisetzungsraten von Schadstoffen in Abhängigkeit der Beanspruchung beschrieben. Als Modellmaterialien kommen die Polymere Polystyrol (PS) und Polypropylen (PP) zum Einsatz. Synergistische Effekte der Bewitterungsparameter und der mikrobiologischen Beanspruchung sollen dabei ebenso betrachtet werden, wie die gezielte Alterung. Auch findet eine Beschreibung des Verhaltens der ausgetragenen Schadstoffe in den Umweltkompartimenten Boden oder Wasser statt. Hier sind mit Hilfe der zu entwickelnden Screening- und non-Target-Analyseverfahren die Transformation und der Metabolismus durch Mikroorganismen zu beschreiben. Aus den Ergebnissen sollen Korrelationen zwischen den künstlichen Alterungsverfahren und realen Szenarien abgeleitet werden.
Organic/inorganic mixtures were prepared from ordinary Portland cement (OPC), water (w/c 0.22), a fluorescent dye in aqueous solution (stable at alkaline pH; BAM-I), and two different comb shape polycarboxylates (PCEs), i.e., high charge (PCE-HC) and low charge (PCE-LC), respectively. Rheological and calorimetric measurements were performed prior to optical studies in order to select PCE concentrations. Absorption and fluorescence spectroscopy of the system OPC + BAM-I (CBAM-I) revealed maxima of dye BAM-I located at 645 nm and 663 nm, respectively. In presence of PCE-HC and PCE-LC, these mixtures displayed a small red shift in reflectance and a faster decrease in intensity compared to studies with CBAM-I; however, only slight differences were observed between the different PCEs. With time, all systems exhibited a decrease in intensity of BAM-I in absorption/reflectance and emission. This could be caused by dye adsorption and possibly decomposition when in contact with cement particles or hydration products.
Microfluidic electrochemical immunosensor for the trace analysis of cocaine in water and body fluids
(2018)
Quick but accurate testing and on‐the‐spot monitoring of cocaine in oral fluids and urine continues to be an important toxicological issue. In terms of drug testing, a number of devices have been introduced into the market in recent decades, notably for workplace inspection or roadside testing. However, these systems do not always fulfill the requirements in terms of reliability, especially when low cut‐off levels are required. With respect to surface water, the presence of anthropogenic small organic molecules such as prescription and over‐the‐counter pharmaceuticals as well as illicit drugs like cannabinoids, heroin, or cocaine, has become a challenge for scientists to develop new analytical tools for screening and on‐site analysis because many of them serve as markers for anthropogenic input and consumer behavior. Here, a modular approach for the detection of cocaine is presented, integrating an electrochemical enzyme‐linked immunosorbent assay (ELISA) performed on antibody‐grafted magnetic beads in a hybrid microfluidic sensor utilizing flexible tubing, static chip and screen‐printed electrode (SPE) elements for incubation, recognition, and cyclic voltammetry measurements. A linear response of the sensor vs. the logarithm of cocaine concentration was obtained with a limit of detection of 0.15 ng/L. Within an overall assay time of 25 minutes, concentrations down to 1 ng/L could be reliably determined in water, oral fluids, and urine, the system possessing a dynamic working range up to 1 mg/L.
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.