Carfentanil in the illicit drug supply: A machine learning approach for trace detection using surface-enhanced Raman spectroscopy
- DOI
- 10.1016/j.drugpo.2026.105359
- Published
- 2026-08
- Container
- International Journal of Drug Policy
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.drugpo.2026.105359,
title = {Carfentanil in the illicit drug supply: A machine learning approach for trace detection using surface-enhanced Raman spectroscopy},
author = {Rebecca R. Martens and Ella Newman and Lea Gozdzialski and Chris G. Gill and Bruce Wallace and Dennis K. Hore},
year = {2026},
journal = {International Journal of Drug Policy},
doi = {10.1016/j.drugpo.2026.105359},
url = {https://doi.org/10.1016/j.drugpo.2026.105359}
}RIS
TY - JOUR TI - Carfentanil in the illicit drug supply: A machine learning approach for trace detection using surface-enhanced Raman spectroscopy AU - Rebecca R. Martens AU - Ella Newman AU - Lea Gozdzialski AU - Chris G. Gill AU - Bruce Wallace AU - Dennis K. Hore PY - 2026 JO - International Journal of Drug Policy DO - 10.1016/j.drugpo.2026.105359 UR - https://doi.org/10.1016/j.drugpo.2026.105359 ER -
APA
Martens, R. R., Newman, E., Gozdzialski, L., Gill, C. G., Wallace, B., & Hore, D. K. (2026). Carfentanil in the illicit drug supply: A machine learning approach for trace detection using surface-enhanced Raman spectroscopy. International Journal of Drug Policy. https://doi.org/10.1016/j.drugpo.2026.105359
Source records
- crossref · retrieved 2026-09-27T07:34:54.191Z