Detection of lifestyle-related metabolites in humans from fingerprint analysis
Fingerprints have been used to identify individuals in forensic investigations since the late 19th century. However, recent research have shown that fingerprints can provide significantly more details about an individual, such as an individual’s personal traits including ethnicity, gender, age, heal...
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| Format: | Thesis-Master by Research |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/172420 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Fingerprints have been used to identify individuals in forensic investigations since the late 19th century. However, recent research have shown that fingerprints can provide significantly more details about an individual, such as an individual’s personal traits including ethnicity, gender, age, health states, personal habits or diet. Others have demonstrated that fingerprint residues before and after coffee consumption displayed significant differences and a few coffee-specific metabolites have been proposed as biomarkers as a result. This project therefore investigates the hypothesis that metabolites resulting from caffeine consumption can be detected in latent fingerprints using MALDI-ToF-MS. Results showed that MALDI-ToF-MS can detect standard solutions of caffeine and its metabolites with satisfactory coefficient of determination. It can also detect individual compounds present in a mixture, with the exception of compounds that share similar molecular masses, for instance, 1X and 3X, 17U and 37U. As an approach to replace conventional liquid matrices with fingerprint dusting powders for MALDI-ToF-MS, APTES- and PTEOS- functionalized particles were synthesized and characterized via TEM, DLS and BET analysis. Both particles were able to ionize caffeine and its metabolites for detection via MALDI-ToF-MS analysis with low limit of detection. However from MALDI-ToF-MS analysis, caffeine could only be detected in overlapped prints spiked with 200 μg of caffeine when DHB was used as matrix. Both APTES- and PTEOS-functionalized particles were not able to support the detection of caffeine in actual fingerprints based on current protocol. Expected analyte peaks were not detected in fingerprint residues of different volunteers upon coffee consumption. This could be due to the large size and unfavorable surface properties of the particles, along with the relatively low sensitivity of the MALDI-ToF system. |
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