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SERS Detection of Benzoic Acid in Milk by Using Ag-COF SERS Substrate.
Yang, Zichen; Ma, Chaoqun; Gu, Jiao; Wu, Yamin; Zhu, Chun; Li, Lei; Gao, Hui; Yin, Wenzhi; Wang, Zirui; Zhang, Ye; Shang, Yunpeng; Wang, Chengwei; Chen, Guoqing.
Afiliação
  • Yang Z; School of Science, Jiangnan University, Wuxi, China; School of Internet of Things Engineering, Jiangnan University, Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, China.
  • Ma C; School of Science, Jiangnan University, Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, China.
  • Gu J; School of Science, Jiangnan University, Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, China.
  • Wu Y; School of Science, Jiangnan University, Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, China.
  • Zhu C; School of Science, Jiangnan University, Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, China.
  • Li L; School of Science, Jiangnan University, Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, China.
  • Gao H; School of Science, Jiangnan University, Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, China.
  • Yin W; School of Science, Jiangnan University, Wuxi, China; School of Internet of Things Engineering, Jiangnan University, Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, China.
  • Wang Z; School of Science, Jiangnan University, Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, China.
  • Zhang Y; School of Science, Jiangnan University, Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, China.
  • Shang Y; School of Science, Jiangnan University, Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, China.
  • Wang C; School of Science, Jiangnan University, Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, China.
  • Chen G; School of Science, Jiangnan University, Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, China. Electronic address: jncgq@jiangnan.edu.cn.
Spectrochim Acta A Mol Biomol Spectrosc ; 267(Pt 2): 120534, 2022 Feb 15.
Article em En | MEDLINE | ID: mdl-34776376
ABSTRACT
Benzoic acid, which has a pivotal role in food additive, is prohibited to add as a preservative in dairy products. China, Brazil, and other countries have proposed standard methods to detect the addition of benzoic acid in food. Surface-enhanced Raman scattering (SERS) is an upcoming spectral detection technique, which has been widely used in the field of material analysis with the advantages of non-invasive, fast detection speed and complex environment with little interference. To detect the illegal use of benzoic acid in dairy industry, we developed Ag-COF (covalent-organic framework) material as SERS substrate to detect benzoic acid in liquid milk. The great enhancement ability of Ag-COF substrate is controlled by the addition of acetic acid and complex interplay between COF material and benzoic acid. This detection method has high sensitivity and reliability that allows us to achieve limit of detection (LOD) of 0.13 µg/mL in milk and 0.00372 µg/mL in water by applying this method. In experiment on recovery rate of real samples, the detection time is less than 15 minutes and the relative standard deviation (RSD) ranged from 2.82% to 5.69%. Therefore, this method has practical significance of the detection of benzoic acid in dairy products.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Leite / Nanopartículas Metálicas Tipo de estudo: Diagnostic_studies Limite: Animals Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Leite / Nanopartículas Metálicas Tipo de estudo: Diagnostic_studies Limite: Animals Idioma: En Ano de publicação: 2022 Tipo de documento: Article