The DOI matches its Crossref record.
Analysis of seized drugs using portable Raman spectroscopy in an airport environment—a proof of principle study
Open accessAbstract
The rapid identification for drugs‐of‐abuse in airports is of critical importance. In this study we demonstrate the viability of Raman spectroscopy for the rapid identification of illicit substances in their containers in an airport environment. Raman spectra of drugs‐of‐abuse in situ were collected using portable Raman spectrometers; this technique offers distinct advantages to government agencies, first responders and forensic scientists working in the security field. We have demonstrated that the spectrometers are able to collect the spectra of suspect powders, including cocaine HCl and d‐amphetamine sulphate with unknown constituents rapidly and with a high degree of discrimination. Copyright © 2008 John Wiley & Sons, Ltd.
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Citations
Cited by
Forensic and homeland security applications of modern portable Raman spectroscopy
Izake, E. L. (2010) · Forensic Science International · doi:10.1016/j.forsciint.2010.03.020 · Cited by 263
Jehlička, J., Edwards, H. G. M., & Culka, A. (2010) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2010.0075 · Cited by 86
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Metadata
- Authors
- Hargreaves, M. D., Page, K., Munshi, T., Tomsett, R., Lynch, G., & Edwards, H. G. M.
- Venue
- Journal of Raman Spectroscopy
- Publisher
- Wiley
- Published
- 2008-04-04
- Volume
- 39
- Issue
- 7
- Pages
- 873-880
- ISSN
- 0377-0486 (ISSN-L)
- 1097-4555
- OpenAlex
- W1966554473
- Cited by
- 161
- References
- 0
- FWCI
- 6.40
- Type
- journal article
- Language
- en
- Open access
- green
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- Hargreaves, M. D., Page, K., Munshi, T., Tomsett, R., Lynch, G., & Edwards, H. G. M. (2008). Analysis of seized drugs using portable Raman spectroscopy in an airport environment—a proof of principle study. Journal of Raman Spectroscopy. https://doi.org/10.1002/jrs.1926
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
