SSNet: A Spectral Unmixing Framework for Enhancing the Qualitative Sensitivity of SERS to Trace Targets in Complex Mixtures

Journal:

Journal of the American Chemical Society

Published:

2025-11-15

DOI:

10.1021/jacs.5c16529

Affiliations:

3

Authors:

7

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Institutions	Authors	Share
Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, China	4.333333	0.62
Fujian Normal University (FNU), China	1.333333	0.19
State Key Laboratory of Physical Chemistry of Solid Surfaces (PCOSS), XMU, China	1.333333	0.19

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