Machine learning-driven 3D plasmonic cellulose sensor for in situ rapid SERS detection of bisphenol compounds in water sample-Reference-Cited by-同舟云学术

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Machine learning-driven 3D plasmonic cellulose sensor for in situ rapid SERS detection of bisphenol compounds in water sample

Published:2023-12 Issue: Volume:265 Page:124917
ISSN:0039-9140
Container-title:Talanta
language:en
Short-container-title:Talanta

Author:

Li Ruili,Hu Yuyang,Sun Xiaotong,Huang Shuting,Zhang Zhipeng,Chen Kecen,Cheng Yujun,Liu Qi,Chen Miao,Chen Xiaoqing^ORCID

Publisher

Elsevier BV

Subject

Analytical Chemistry

Reference26 articles.

1. Bisphenol analogues in Chinese bottled water: quantification and potential risk analysis;Wang;Sci. Total Environ.,2020

2. Fate of bisphenol A in terrestrial and aquatic environments;Im;Environ. Sci. Technol.,2016

3. The hazardous threat of Bisphenol A: toxicity, detection and remediation;Tarafdar;J. Hazard Mater.,2022

4. Characterization of pregnant women exposure to halogenated parabens and bisphenols through water consumption;Albouy;J. Hazard Mater.,2023

5. Common bisphenol A replacements are reproductive toxicants;Warner;Nat. Rev. Endocrinol.,2018

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1. Shining a light on environmental science: Recent advances in SERS technology for rapid detection of persistent toxic substances;Journal of Environmental Sciences;2024-08

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