Multi-Component Substance Classification and Recognition Based on Surface-Enhanced Raman Spectroscopy

Hexuan Bai; Feng Yang; Danyang Li; Yi Xu; Shunbo Li; Li Chen

doi:10.3788/AOS202141.2024001

Acta Optica Sinica, Volume. 41, Issue 20, 2024001(2021)

Multi-Component Substance Classification and Recognition Based on Surface-Enhanced Raman Spectroscopy

Hexuan Bai^1,2, Feng Yang^1,2, Danyang Li^1,2, Yi Xu^1,2, Shunbo Li^1,2, and Li Chen^1,2、*

¹Key Laboratory of Optoelectronic Technology & System, Ministry of Education, College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China;

²Key Disciplines Laboratory of Novel Micro-Nano Devices and System Technology, Chongqing University, Chongqing 400044, China

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Hexuan Bai, Feng Yang, Danyang Li, Yi Xu, Shunbo Li, Li Chen. Multi-Component Substance Classification and Recognition Based on Surface-Enhanced Raman Spectroscopy[J]. Acta Optica Sinica, 2021, 41(20): 2024001

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Paper Information

Category: Optics at Surfaces

Received: Apr. 8, 2021

Accepted: May. 10, 2021

Published Online: Sep. 30, 2021

The Author Email: Li Chen (CL2009@cqu.edu.cn)

DOI:10.3788/AOS202141.2024001

Topics

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