Browsing by Subject "Volatile Organic Compound"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Chemometric Analysis of Volatile Organic Compound Biomarkers of Disease and Development of Solid Phase Microextraction Fibers to Evaluate Gas Sensing Layers
    (2022-08) Woollam, Mark David; Agarwal, Mangilal; Deiss, Frédérique; Goodpaster, John; Naumann, Christoph
    Canines can detect different diseases simply by smelling different biological sample types, including urine, breath and sweat. This has led researchers to try and discovery unique volatile organic compound (VOC) biomarkers. The power of VOC biomarkers lies in the fact that one day they may be able to be utilized for noninvasive, rapid and accurate diagnostics at a point of care using miniaturized biosensors. However, the identity of the specific VOC biomarkers must be demonstrated before designing and fabricating sensing systems. Through an extensive series of experiments, VOCs in urine are profiled by solid phase microextraction (SPME) coupled to gas chromatography-mass spectrometry (GC-MS) to identify biomarkers for breast cancer using murine models. The results from these experiments indicated that unique classes of urinary VOCs, primarily terpene/terpenoids and carbonyls, are potential biomarkers of breast cancer. Through implementing chemometric approaches, unique panels of VOCs were identified for breast cancer detection, identifying tumor location, determining the efficacy of dopaminergic antitumor treatments, and tracking cancer progression. Other diseases, including COVID-19 and hypoglycemia (low blood sugar) were also probed to identify volatile biomarkers present in breath samples. VOC biomarker identification is an important step toward developing portable gas sensors, but another hurdle that exists is that current sensors lack selectivity toward specific VOCs of interest. Furthermore, testing sensors for sensitivity and selectivity is an extensive process as VOCs must be tested individually because the sensors do not have modes of chromatographic separation or compound identification. Another set of experiments is presented to demonstrate that SPME fibers can be coated with materials, used to extract standard solutions of VOCs, and analyzed by GC-MS to determine the performance of various gas sensing layers. In the first of these experiments, polyetherimide (PEI) was coated onto a SPME fiber and compared to commercial polyacrylate (PAA) fibers. The second experiment tuned the extraction efficiency of polyvinylidene fluoride (PVDF) - carbon black (CB) composites and showed that they had higher sensitivity for urinary VOC extraction relative to a polydimethylsiloxane (PDMS) SPME fiber. These results demonstrate SPME GC-MS can rapidly characterize and tune the VOC adsorption capabilities of gas sensing layers.
  • Thumbnail Image
    Item
    Taste and Odor Event Dynamics of a Midwestern Freshwater Reservoir
    (2020-11) Howard, Chase Steven; Druschel, Gregory K.; Jacinthe, Pierre-André; Picard, Christine J.
    Eagle Creek Reservoir (ECR), located in the Midwestern U.S., is a freshwater limnic system plagued by seasonal Harmful Algal Blooms (HABs) which generate water-fouling Geosmin (GSM) and 2-Methylisoborneol (MIB) Taste and Odor (T&O) compounds. Past investigations of T&O event dynamics have identified Actinomycetes as responsible for MIB production and several genera of cyanobacteria for GSM production. During 2018, a temporally and spatially expansive sampling regimen of the reservoir was carried out and a battery of biological, chemical, physical, and hyperspectral experiments performed. The resulting data was analyzed using time series, cross-correlation, lag time, and multivariate analyses as well as machine learning algorithms to pick apart and interrogate any relationships between HABs, T&O events, and environmental parameters. The results show that local weather and watershed conditions exert significant control over the state of the reservoir and the behavior of the algal community. GSM and MIB peaked during early May under well-mixed, cold, and nutrient-rich water column conditions, then declined under summer thermal stratification before making a small resurgence during late season mixing. Bloom die-off and decay was effectively ruled out as a mechanism controlling T&O concentrations, and no links were found between T&O concentrations and algal biomass. Strong evidence was found that GSM/MIB concentrations were a response by bloom microbes to changing nutrient conditions within the reservoir, and it was determined that nutrient fluxes from the watershed 30-40 days prior to peak T&O concentrations are likely instrumental in the development of the slow- ix growing microbes characteristic of the reservoir. Attempts were made to assess spatial and temporal variability but no significant spatial differences were identified; differences between sampling sites were far smaller than differences between different sampling dates. The findings here add to the growing body of literature showing T&O and HAB dynamics are more closely linked to the relative abundance and speciation of nutrients than other parameters. Additionally, these findings carry important implications for the management of ECR and other similar freshwater reservoirs while highlighting the importance of reducing watershed eutrophication.