Database Facilitated Screening with NMR Spectroscopy Analysis for Drug Detection
Author | Su, H.L. |
Author | Su, Haw Lih |
Author | Lee, Jeff Cheng Lung |
Author | Ibrahim, Mohammad Ibrahim Ahmad |
Author | Alsafran, Mohammed Hussain S.A. |
Author | Al-Meer, Saeed |
Available date | 2020-03-22T09:17:16Z |
Publication Date | 2019-12-01 |
Publication Name | 2019 IEEE Symposium Series on Computational Intelligence, SSCI |
Identifier | http://dx.doi.org/10.1109/SSCI44817.2019.9003162 |
Citation | H. Su, J. C. Lee, M. I. A. Ibrahim, M. H. S. A. Alsafran and S. Al-Meer, "Database Facilitated Screening with NMR Spectroscopy Analysis for Drug Detection," 2019 IEEE Symposium Series on Computational Intelligence (SSCI), Xiamen, China, 2019, pp. 219-224. |
ISBN | 9781728124858 |
Abstract | © 2019 IEEE. Drug detection plays the key role in the enforcement of drug regulations. Various detection methods for them are thus developed. However, in most investigations, the most time-consuming and tedious part is not on the analysis itself but on the process to figure out what it is, i.e. to find out the possibility and to match the analytical results with the known information. Because of the limited amounts of the sample, an improper starting of the test could result in consuming of the evidence or unsuccessful analysis. Here we suggest a new process starting from NMR spectroscopy as NMR measurement is a non-destructive analysis, allowing other analysis methods after it. A spectra database screening system could help for quickly finding out the possible candidates and provide suggestions to confirm the results. |
Language | en |
Publisher | IEEE |
Subject | AI database screening drug detection forensic science. NMR |
Type | Conference |
Pagination | 219-224 |
Files in this item
Files | Size | Format | View |
---|---|---|---|
There are no files associated with this item. |
This item appears in the following Collection(s)
-
Biological & Environmental Sciences [920 items ]
-
Central Laboratories Unit Research [101 items ]
-
Chemistry & Earth Sciences [587 items ]