Machine learning-assisted SERS sensor for fast and ultrasensitive analysis of multiplex hazardous dyes in natural products

已完结 10 由熙熙发布于 2025/3/8 16:11:08

DOI:10.1016/j.jhazmat.2024.136584
作者：Chengqi Lin , Cheng Zheng , Bo Fan , Chenchen Wang , Xiaoping Zhao , Yi Wang
文献类型：期刊论文
补充材料：只需要正文

Elsevier

Abstract：The adulteration of natural products with multiple azo dyes has become a serious public health concern. Thus, on-site trace additive detection is demanded. Herein, we developed a gold-nanoro

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