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

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

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

Afiliação

Li R; College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, China.
Hu Y; College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, China.
Sun X; College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, China.
Huang S; College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, China.
Zhang Z; College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, China.
Chen K; College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, China.
Cheng Y; College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, China.
Liu Q; College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, China.
Chen M; School of Life Sciences, Central South University, Changsha, 410013, China. Electronic address: chemcm@csu.edu.cn.
Chen X; College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, China. Electronic address: xqchen@csu.edu.cn.

Talanta ; 265: 124917, 2023 Dec 01.

Article em En | MEDLINE | ID: mdl-37429253

Palavras-chave

3D plasmonic cellulose microparticle; Bisphenol compounds; Machine learning; Surface-enhanced Raman scattering (SERS)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Talanta Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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