Chemische Charakterisierung und Spurenanalytik
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Die zunehmenden Nachweise von Kunststoffen in verschiedenen Umweltmedien erfahren in den letzten Jahren weltweit ein zunehmendes wissenschaftliches, gesellschaftliches und politisches Interesse. Besondere Aufmerksamkeit erfahren Kunststoffpartikel von 1-1.000 µm, sogenanntes Mikroplastik. Es wurde mittlerweile in Wasser, Böden, Luft und Biota nachgewiesen. Obwohl die Wirkungen auf die natürlichen Umweltfunktionen noch unklar sind und kontrovers diskutiert werden, ist allein durch die ubiquitäre Präsenz eine systematische Erfassung von Eintragsquellen und Verbleib der Partikel über alle Umweltmedien notwendig, um Maßnahmen zur Reduktion der Einträge zu veranlassen.
Für eine zuverlässige Erfassung sind medienübergreifende Verfahren zu entwickeln, welche die drei analytischen Schritte, Probennahme, Probenaufbereitung und Detektion beinhalten. Die Verfahren adressieren unterschiedliche Zielgruppen, welche verschiedene analytische Informationen fordern. Für die akademische Bewertung werden Verfahren mit hohem analytischen Aufwand favorisiert, welche möglichst detaillierte Information über Partikelsorte, -größe, -zahl und -oberflächenbeschaffenheit geben. Im Gegensatz dazu, fordern Anwender aus der Praxis schnelle und einfache Monitoring Verfahren, welche die Bestimmung eines Massengehaltes, bzw. eines Grenzwertes zulassen. Allen ist gemeinsam, dass ein hoher interdisziplinärer Anspruch besteht, der sowohl technische Voraussetzungen zur repräsentativen Probennahme und die Limitationen von Detektionsverfahren berücksichtigt, als auch die Fachkompetenz von Biologen, Umweltwissenschaften, Analytiker und Polymerwissenschaftler einschließt.
Verfahren zum Mikroplastiknachweis müssen auch verschieden Proben mit sehr unterschiedlichen Gehalten an natürlicher Matrix gerecht werden. So müssen allein für Wasser Verfahren entwickelt werden, die Mikroplastik verschiedener Form (sphärische Partikel, komplexe Bruchstücke, Fasern) aus Medien mit sehr variablen Partikelanteil (u.a. Trinkwasser, Oberflächenwasser, Abwasser) repräsentativ erfassen, sowie schnell und kostengünstig sind – einschließlich der notwendigen Probenaufbereitung. Die jeweiligen Detektionsverfahren müssen z.B. einzelne Partikel oder integrale Gehalte über drei Dekadenklassen für thermoplastische und insbesondere auch elastomere Partikelsorten erfassen können.
High-resolution mass spectrometry, either combined with gas or liquid chromatography (GC/LC-HR-MS), is currently the most powerful analytical option for broad nontargeted small molecule analysis. To transform HR-MS raw data from metabolomics or environmental studies into chemically meaningful data, several computational steps are needed, including peak detection, deconvolution of these peaks into compounds and putative identification of compounds using databases. Each of these steps can cause problems and still requires methodological advancements. Computational compound annotation as one of the steps, however, has proven particularly challenging, mainly due to the chemical diversity of organic analytes. In addition, different annotation approaches are needed for the different platforms used in HR-MS screening. We recently introduced InterpretMSSpectrum as an annotation workflow for GC-HR-MS using atmospheric pressure chemical ionization (APCI). InterpretMSSpectrum locates molecular ion, fragment and adduct peaks, calculates their most likely sum formula combination and graphically summarizes results as an annotated mass spectrum. As a complementary approach for LC-HR-MS, we presented findMAIN, which scores MS1 spectra based on explained intensity, mass accuracy and isotope charge agreement of adducts and related electrospray ionization (ESI) products to determine the neutral mass of unknown compounds. Both approaches were validated against large spectral libraries containing more than 600 compounds, for which correct annotation was achieved in over 80% of the cases. Based on the experiences from this validation, we here compare soft-ionization GC/LC-HR-MS regarding “annotatability” of unknown compounds from a computational perspective. As a main advantage for GC-HR-MS, the relatively uniform ionization behavior of commonly used trimethylsilyl (TMS) derivatives observed under APCI allowed differentiation of molecular ion peaks from in-source fragments based on relatively compact set of rules. By contrast, neutral mass inference in ESI required a more complex evaluation scheme, due to the higher diversity of ionization products observable in ESI. We demonstrate such differences by practical examples of both software packages applied to metabolomics studies and discuss the challenges connected to transferring the approaches to environmental screening.
Ergot alkaloids play a significant role in human history for more than 1000 years and are part of the most common contaminants of food and feed worldwide. Their high toxicity against humans and livestock even at low concentrations causes a high demand for quick and reliable analytics even though no European limits for ergot alkaloids have been determined yet. Currently the most common methods for the quantitation of the six major ergot alkaloids and their corresponding stereoisomers are HPLC based, using either fluorescence or mass spectrometric detection. Whereas these conventional detection methods measure each compound individually, a novel approach is to transfer all ergot alkaloids to one basic structure, which could be measured as a sum parameter.
Since all ergots contain a lysergic acid amide moiety and a differing peptide component, cleaving the molecule into a simple lysergic acid derivative, which could be quantified via either HPLC-FLD or MS/MS, is intended. To clean up the cleavage reaction mixture molecularly imprinted polymers (MIPs) are a simple and effective way to separate the desired structure. Due to the selectivity of MIPs, an improved matrix separation is expected, which results in fewer interferences in the FLD and the possibility to measure samples with more complex matrices. When fully developed, the novel method could overcome some major drawbacks of the conventional detection methods. Higher throughput and the need for less well-trained personnel are just two advantages, that should lead to a quick and cheap quantitation of ergot alkaloids. First results of this project will be presented, funded by the German ZIM program (Zentrales Innovationsprogramm Mittelstand) of the Federal Ministry for Economic Affairs and Energy.
Ergot alkaloids play a significant role in human history for more than 1000 years and are part of the most common contaminants of food and feed worldwide. Their high toxicity against humans and livestock even at low concentrations causes a high demand for quick and reliable analytics even though no European limits for ergot alkaloids have been determined yet. Currently the most common methods for the quantitation of the six major ergot alkaloids and their corresponding stereoisomers are HPLC based, using either fluorescence or mass spectrometric detection. Whereas these conventional detection methods measure each compound individually, a novel approach is to transfer all ergot alkaloids to one basic structure, which could be measured as a sum parameter.
Since all ergots contain a lysergic acid amide moiety and a differing peptide component, cleaving the molecule into a simple lysergic acid derivative, which could be quantified via either HPLC-FLD or MS/MS, is intended. To clean up the cleavage reaction mixture molecularly imprinted polymers (MIPs) are a simple and effective way to separate the desired structure. Due to the selectivity of MIPs, an improved matrix separation is expected, which results in fewer interferences in the FLD and the possibility to measure samples with more complex matrices. When fully developed, the novel method could overcome some major drawbacks of the conventional detection methods. Higher throughput and the need for less well-trained personnel are just two advantages, that should lead to a quick and cheap quantitation of ergot alkaloids. First results of this project will be presented, funded by the German ZIM program (Zentrales Innovationsprogramm Mittelstand) of the Federal Ministry for Economic Affairs and Energy.
Metabolites from Alternaria fungi exhibit a variety of biological properties such as phytotoxic, cytotoxic, or antimicrobial activity. Optimization of a literature procedure culminated in an efficient total synthesis of (−)-altenuene as well as a stable isotope-labeled derivative suitable for implementation in a LC-MS/MS method for mycotoxin analysis.
In many scientific fields, isotopic analysis can offer valuable information, e.g., for tracing the origin of food products, environmental contaminants, forensic and archaeological samples (provenance determination), for age determination of minerals (geochronological dating) or for elucidating chemical processes. Up to date, typically bulk analysis is aimed at measuring the isotopic composition of the entire elemental content of the sample. However, the analyte element is usually present under the form of different species. Thus, separating species of interest from one another and from matrix components prior to isotope ratio measurements can provide species-specific isotopic information, which could be used for tracing the origin of environmental pollutants and elucidation of (environmental) speciation. Using on-line hyphenations of separation techniques with multicollector-ICP-MS (MC-ICP-MS) can save time and effort and enables the analysis of different species during a single measurement.
In this work, we developed an on-line hyphenation of CE with multicollector-ICP-MS (CE/MC-ICP-MS) for isotopic analysis of sulfur species. With this method, the isotopic composition of sulfur in sulfate originating from river water could be analyzed without sample preparation. The results were compared with data from off-line analysis of the same samples to ensure accuracy. The precision of the results of the on-line measurements was high enough to distinguish the rivers from one another by the isotopic signature of the river water sulfate. Next to environmental applications, a future field could be species-specific isotopic analysis of biomolecules, as sulfur is the only covalently bound constituent of proteins which can be analyzed by MC-ICP-MS.