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AuthorSu, H.L.
AuthorSu, Haw Lih
AuthorLee, Jeff Cheng Lung
AuthorIbrahim, Mohammad Ibrahim Ahmad
AuthorAlsafran, Mohammed Hussain S.A.
AuthorAl-Meer, Saeed
Available date2020-03-22T09:17:16Z
Publication Date2019-12-01
Publication Name2019 IEEE Symposium Series on Computational Intelligence, SSCI
Identifierhttp://dx.doi.org/10.1109/SSCI44817.2019.9003162
CitationH. 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.
ISBN9781728124858
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85080901705&origin=inward
URIhttp://hdl.handle.net/10576/13475
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.
Languageen
PublisherIEEE
SubjectAI
database screening
drug detection
forensic science.
NMR
TitleDatabase Facilitated Screening with NMR Spectroscopy Analysis for Drug Detection
TypeConference Paper
Pagination219-224


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