Application of HS-SPME-GC for Sample Classification
| dc.contributor.advisor | Synovec, Robert E | |
| dc.contributor.author | Olkhovych, Vlada | |
| dc.date.accessioned | 2023-08-14T17:03:07Z | |
| dc.date.available | 2023-08-14T17:03:07Z | |
| dc.date.issued | 2023-08-14 | |
| dc.date.submitted | 2023 | |
| dc.description | Thesis (Master's)--University of Washington, 2023 | |
| dc.description.abstract | The thesis presents two studies related to the analysis of volatile organic compounds(VOCs) in various samples using solid-phase microextraction gas chromatography (SPME-GC). The first study focuses on improving the reproducibility and accuracy of HS-SPME analysis by investigating standardization by use of an internal standard. The study evaluates the performance of multiple compounds as internal standards based on which effectively reduce unwanted in-class variations and have consistent peaks responses. The second study explores the feasibility of utilizing SPME-GC and chemometrics for the rapid and cost-effective classification of moisturedamaged cacao samples based on their VOC profiles. The study successfully develops a method for classifying moisture-damaged cacao samples based on their VOC profiles using SPME and GC analysis. The results demonstrate that several temperature programs were capable of distinguishing between moisture-damaged and intact cacao samples, and several class-distinguishing peaks were found, which enabled accurate differentiation between the two sample types. The study provides valuable insights for improving the accuracy and reliability of HS-SPME analysis and contributes to the development of improved quality control protocols in the cacao industry. | |
| dc.embargo.terms | Open Access | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.other | Olkhovych_washington_0250O_25468.pdf | |
| dc.identifier.uri | http://hdl.handle.net/1773/50273 | |
| dc.language.iso | en_US | |
| dc.rights | none | |
| dc.subject | ||
| dc.subject | Chemistry | |
| dc.subject.other | Chemistry | |
| dc.title | Application of HS-SPME-GC for Sample Classification | |
| dc.type | Thesis |
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