On-site quantitative detection of fentanyl in heroin by machine learning-enabled SERS on super absorbing metasurfaces

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
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:npj Nanophotonics
Online Access:https://doi.org/10.1038/s44310-025-00055-8
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https://doi.org/10.1038/s44310-025-00055-8

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