Anthropogenic emissions into the troposphere can impact air quality, leading to poorer health outcomes in the affected areas. Volatile organic compounds (VOCs) are a group of chemical compounds, including some which are toxic, that are precursors in the formation of ground-level ozone and secondary organic aerosols. VOCs have a variety of sources, and the distribution of atmospheric VOCs differs significantly over time and space. Historically, the large number of chemical species present at low concentrations (parts-per-trillion to parts-per-billion by volume) have made VOCs difficult to measure in ambient air. However, with improvements in analytical instrumentation, these measurements are becoming more common place. Direct mass spectrometry (MS), such as membrane introduction mass spectrometry (MIMS) and proton-transfer reaction time-of-flight mass spectrometry (PTR-ToF-MS) facilitate real-time, continuous measurements of VOCs in air, with full scan mass spectral data capturing changes in chemical composition with high temporal resolution. Operated on-road, mobilized direct MS has been used for quantitative mapping of VOCs at the neighborhood scale, but identifying VOC sources based on the observed mixture of molecules in the full scan MS dataset has yet to be explored. This dissertation describes the use of chemometric techniques to interrogate full scan MS data, and the progression from discriminating VOC samples of known chemical composition based on full scan MIMS data through to the apportionment of VOC sources measured continuously with a PTR-ToF-MS system operating in a moving vehicle. Lab‐constructed VOC samples of known chemical composition and concentration demonstrated the use of principal component analysis (PCA) to discriminate, and k-nearest neighbours to classify, samples based on normalized full scan MIMS data. Furthermore, multivariate curve resolution-alternating least squares (MCR-ALS) was used to resolve mixtures into molecular component contributions. PCA was also used to discriminate ‘real-world’ VOC mixtures (e.g., woodsmoke VOCs, headspace above aqueous hydrocarbon samples) of unknown chemical composition measured by MIMS. Using vehicle mounted MIMS and PTR-ToF-MS systems, full scan MS data of ambient atmospheric VOCs were collected and PCA was applied to the normalized full scan MS data. A supervised analysis performed PCA on samples collected near known VOC sources, while an unsupervised analysis using PCA followed by cluster analysis was used to identify groups in a continuous, time series PTR-ToF-MS dataset measured between Nanaimo and Crofton, British Columbia (BC). In both the supervised and unsupervised analysis, samples impacted by emissions from different sources (e.g., internal combustion engines, sawmills, composting facilities, pulp mills) were discriminated. With PCA, samples were discriminated based on differences in the observed full scan MS data, however real-world samples are often impacted by multiple VOC sources. MCR-weighted ALS (MCR-WALS) was applied to the continuous, time series PTR-ToF-MS data from three field campaigns on Vancouver Island, BC for source apportionment. Variable selection based on signal-to-noise ratios was used to reduce the mass list while retaining the observed m/z that capture changes in the mixture of VOCs measured, improving model results, and reducing computation time. Both point (e.g., anthropogenic hydrocarbon emissions, pulp mill emissions) and diffuse (e.g., VOCs from forest fire smoke) VOC sources were identified in the data, and were apportioned to determine their contributions to the measured samples. The data analyzed captured fine scale changes in the ambient VOCs present in the air, and geospatial maps of each individual source, and of the source apportionment were used to visualize the distribution of VOC sources across the sampling area. This work represents the first use of MCR-WALS to identify and apportion ambient VOC sources based on continuous PTR-ToF-MS data measured from a moving vehicle. The methods described can be applied to larger scale field campaigns for the source apportionment of VOCs across multiple days to capture diurnal and seasonal variations. Identifying spatial and temporal trends in the sources of VOCs at the regional scale can help to identify pollution ‘hot spots’ and inform evidence-based public policy for improving air quality. / Graduate / 2022-08-17

Ein kompetitiver ELISA (Enzyme-linked Immunosorbent Assay) für den Nachweis von Carbamazepin (CBZ) mit einer Bestimmungsgrenze von ca. 30 ng/L wurde entwickelt und validiert. Dieser in Gewässern häufig auftretende anthropogene Marker wurde anschließend in einer Vielzahl an Proben aus Abwässern, Oberflächengewässern und Trinkwässern nachgewiesen. Der ELISA zeigte eine exzellente Präzision und erbrachte in allen Matrizes geringfügig höhere Analysenergebnisse als die Referenzmethode HPLC-MS/MS. Die beständige Überbestimmung der CBZ-Konzentration in Höhe von ca. 7 % konnte auf die Präsenz von Cetirizin und geringen Mengen des persistenten Metaboliten 10,11 Epoxy¬carbamazepin (EP-CBZ) zurückgeführt werden. Die Bindungseigenschaften des verwendeten Antikörpers wurden anhand der Kreuz¬reaktivi¬täten von 37 Substanzen eingehend untersucht. Nach Kopplung von Flüssig¬chromato¬graphie und ELISA konnte das strukturell nicht mit CBZ verwandte Anti¬histaminikum Cetirizin als Kreuzreaktand identifiziert werden. Der störende Einfluss dieses Kreuz¬reaktanden auf den CBZ-ELISA konnte nach einer Änderung des pH-Wertes im Proben¬puffer minimiert werden. Die pH-abhängige Selektivitätssteuerung ermöglichte überdies die Entwicklung eines Dual-Analyt-Immunoassays für die parallele Bestimmung von CBZ und Cetirizin. Darüber hinaus wurden die Metaboliten EP-CBZ, DiOH-CBZ, 2-OH-CBZ, 3-OH-CBZ und 10 OH-CBZ in Abwasser, Oberflächenwasser und Trinkwasser quantifiziert. DiOH-CBZ erwies sich als ähnlich persistent wie CBZ und wurde in besonders hohen Konzentrationen gefunden. Außerdem wurden mehrere weitere bislang nicht identifizierte Abbauprodukte von CBZ gefunden. Da weder Probenvorbereitung noch Probenanreicherung erforderlich sind, ist der Test schnell und kostengünstig durchführbar. Die für den Test nötigen Probenvolumen sind mit weniger als 1 mL sehr gering. Diese Eigenschaften erlauben ein Hochdurchsatzscreening und machen die Methode interessant für den Einsatz im Gewässermonitoring. / A competitive ELISA (enzyme-linked immunosorbent assay) for the quantitation of carbamazepine (CBZ) was developed and validated. A limit of quantitation (LOQ) of ca. 30 ng/L allowed for the quantitation of CBZ in many samples from wastewater, surface water and drinking water. The method was found to be excellently precise, but it displayed slightly higher results than obtained by the reference method liquid chromatography-tandem mass spectrometry (LC-MS/MS). The nearly constant overestimation of 7 % could be attributed to the presence of small amounts of cetirizine and the persistent metabolite 10,11 epoxy¬carbamazepine (EP-CBZ). The binding properties of the antibody were studied by determining the cross-reactivities of 37 compounds. Hyphenating liquid chromatography to ELISA led to the discovery of the cross-reactive antihistamine cetirizine that shares no obvious structural similarity with CBZ. The bias caused by cetirizine was eliminated by changing the pH value of the sample buffer. Moreover, the antibody’s pH-dependent selectivity enabled a dual-analyte immunoassay for the parallel determination of CBZ and cetirizine. Furthermore, the metabolites EP-CBZ, DiOH-CBZ, 2-OH-CBZ, 3-OH-CBZ and 10-OH-CBZ were quantified in wastewater, surface water and drinking water. DiOH-CBZ showed the highest concentrations of all analaytes investigated and was found to be equally persistent as CBZ. In addition, several further degradation products of CBZ were found that could not be identified. The ELISA allowed the detection of diurnal and seasonal fluctuations of analyte concentrations in wastewater and surface water. The anthropogenic marker CBZ enabled to trace wastewater from the source to the receiving waters. Since neither sample pretreatment nor enrichment is necessary, the method is very fast and cost-effective. Only a small sample volume (less than 1 mL) is needed making this ELISA an appropriate high-throughput screening tool for environmental monitoring.

Koffein (1,3,7-Trimethylxanthin) und Coprostanol (5beta-cholestan-3beta-ol) wurden im Berliner Oberflächenwasser nachgewiesen. Ihre Konzentrationen korrelierten mit dem Verunreinigungsgrad der Proben, was nahelegt, dass sie sich als Marker für menschliche Aktivität eignen. Bemerkenswerterweise wurde Koffein in jeder einzelnen Oberflächenwasserprobe oberhalb der Bestimmungsgrenze von 0,025 µg/L gefunden. Um Oberflächenwasserproben in größeren Serien zu untersuchen, war die Entwicklung zweier neuer Methoden erforderlich: ein Immunoassay, basierend auf einem monoklonalen Antikörper für Koffein und eine dispersive flüssig-flüssig Mikroextraktionsmethode (DLLME), gefolgt von Flüssigkeitschromatographie gekoppelt mit Tandem-Massenspektrometrie (LC-MS/MS) für Coprostanol. Der entwickelte Koffein-Immunoassay zeigt die beste je erhaltene Nachweisgrenze für Koffein (0,001 µg/L), erlaubt Hochdurchsatz-Analysen und erfordert keine Probenvorbereitung. Der Assay wurde auch erfolgreich für die Messung von Koffein in Getränken, Haarwaschmitteln, Koffeintabletten und menschlichem Speichel angewendet. Antikörper gegen Coprostanol sind nicht kommerziell erhältlich. Eine neue Strategie Anti-Coprostanol-Antikörper zu generieren wurde erarbeitet, die eine analoge Verbindung – Isolithocholsäure (ILA) – als Hapten verwendet, mit der eine Gruppe von Mäusen immunisiert wurde. Ein polyklonales Anti-ILA-Serum wurde produziert, welches Coprostanol bindet, aber die niedrige Affinität erlaubte nicht den Aufbau eines Immunoassays, der die Messung von Umweltkonzentrationen des Anayten (im Bereich ng/L) zulässt. Spezifische Anti-ILA-Immunglobuline G wurden auch in den Faeces der Mäuse gefunden. Coprostanol wurde in den Wasserproben durch die Verwendung einer neuentwickelten LC-MS/MS-Methode unter APCI-Ionisation (atmospheric pressure chemical ionisation) gemessen. Konzentrationen oberhalb von 0,1 µg/L wurden nach Voranreicherung der Probe mittels DLLME bestimmt. / Caffeine (1,3,7-trimethylxanthine) and coprostanol (5beta-cholestan-3beta-ol) were detected in samples of Berlin’s surface water. Their concentrations correlated with the contamination status of the samples, suggesting their usefulness as markers of human activity. Remarkably, caffeine concentrations were always well above the limit of quantitation of 0.025 µg/L. In order to screen surface water samples in larger series, the development of two novel methods was required: a monoclonal antibody-based immunoassay for caffeine and a dispersive liquid-liquid microextraction (DLLME) method, followed by liquid chromatography tandem mass spectrometry (LC-MS/MS) for coprostanol. The caffeine immunoassay developed shows the best analytical limit of detection (LOD) obtained so far for caffeine (0.001 µg/L), allows high-throughput analysis, and does not require sample pre-treatment. The assay was also successfully employed to measure caffeine in beverages, shampoos, caffeine tab-lets, and human saliva. Antibodies to coprostanol are not commercially available. A new strategy to generate anti-coprostanol antibodies was elaborated using an analogous com-pound as hapten – isolithocholic acid (ILA) – and immunizing a group of mice. A polyclonal anti-ILA serum was produced, which binds coprostanol but the low affinity did not permit setting up an immunoassay to measure environmental concentrations of the analyte (in the range of ng/L). Specific anti-ILA immunoglobulin G were also found in the faeces of the immunized mice. Coprostanol was quantified in the water samples using a newly developed LC-MS/MS method using atmospheric pressure chemical ionisation (APCI). Concentrations above 0.1 µg/L were determined after sample preconcentration using DLLME. This extraction method also proved to be successful for enrichment of coprostanol-related compounds such as cholesterol, cholestanol, cholestanone, ergosterol, and stigmasterol.