On-site quantitative detection of fentanyl in heroin by machine learning-enabled SERS on super absorbing metasurfaces
Abstract The global surge in opioid misuse, particularly fentanyl, presents a formidable public health challenge, highlighted by increasing drug-related mortalities. Our study introduces a novel approach for on-site quantitative detection of fentanyl in heroin, employing machine learning-enabled sur...
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Main Authors: | Yingkun Zhu, Haomin Song, Ruiying Liu, Yunyun Mu, Murali Gedda, Abdullah N. Alodhay, Lei Ying, Qiaoqiang Gan |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-02-01
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Series: | npj Nanophotonics |
Online Access: | https://doi.org/10.1038/s44310-025-00055-8 |
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