Construct high performance SERS sensing platform assisted by machine learning

Construct high performance SERS sensing platform assisted by machine learning

Surface-Enhanced Raman Spectroscopy (SERS) is a powerful analytical technique for detecting trace analytes using noble metal nanoparticles. In this paper, we present a novel approach to construct a high-performance SERS sensing platform using self-assembled gold nanoparticles on aminated glass capil...

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Bibliographic Details
Main Authors: Xiaoling Wu, Zhixiong Liu, Yunxiang Liu, Minghui Qiu, Dan Xu
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Alexandria Engineering Journal
Subjects:
Surface-Enhanced Raman Spectroscopy (SERS)
Self-assembled gold nanoparticles
Machine learning
Trace analyte detection
Uniform SERS substrates
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016823008190

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http://www.sciencedirect.com/science/article/pii/S1110016823008190

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