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Updated: Jun 13, 2025

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通过深度机器学习进行现场SERS分析和芬太尼类物质的智能多重识别

Qiao-Yan Jiang1, Yuan Zhang2, Yang Sun3

  • 1Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, China (Academy of Forensic Science), Shanghai 200063, China; Department of Pathology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou 317000, Zhejiang, China.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
|September 11, 2024
PubMed
概括

一个新的银金纳米粒子在纸上的传感器提供了芬太尼类物质的敏感检测. 这种SERS传感器与机器学习相结合,可用于食品安全和环境监测的准确识别.

关键词:
在 Ag@Au NPs-纸张.芬太尼类物质是一种芬太尼类物质.机器学习是机器学习.

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