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Dai P, Zhang Z, Hou X, Ouyang L, Zhu L. Rapid SERS inspection of carcinogenic aromatic amines in textiles by using liquid interfacial assembled Au array. Talanta 2021; 234:122651. [PMID: 34364460 DOI: 10.1016/j.talanta.2021.122651] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Revised: 06/21/2021] [Accepted: 06/22/2021] [Indexed: 11/25/2022]
Abstract
Wide uses of azo dyes produce a great risk of high residuals of carcinogenic aromatic amines, and hence it is important to rapidly analyze these carcinogenic compounds in the textile products to guarantee product safety. In the present work, a surface enhanced Raman spectroscopic (SERS) method was developed for rapid detection of carcinogenic aromatic amines in textiles. In this method, target aromatic amines are extracted from textiles, and then gold nanoparticles are added to the organic extractant, which assemble into closely packed Au array at liquid interface in situ. Finally, fingerprint SERS signals of the target aromatic amines are detected on the generated Au array on the basis of strong chemical interaction between the aromatic amines and the Au surface. The proposed method provided good reproducibility with a relative standard deviation of 3.5% for ten parallel tests of benzidine. It was applied to analyze 70 textile products. To strengthen the spectroscopic data processing, a cluster analysis model was established with 50 samples to automatically identify the spectra based on the good signal reproducibility. The other 20 samples were used as test sets to validate this model. It was found that all the positive samples were successfully identified with false positive rate of 20%. With the addition of the Artificial Intelligence step, the reliability of the discriminant results can be ensured.
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Affiliation(s)
- Pei Dai
- School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Ziyang Zhang
- School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Xianfei Hou
- School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Lei Ouyang
- School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Lihua Zhu
- School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China.
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Liu Y, Su X, Chen L, Liu H, Zhang C, Liu J, Hao J, Shangguan Y, Zhu G. Green preparation of carbon dots from Momordica charantia L. for rapid and effective sensing of p-aminoazobenzene in environmental samples. ENVIRONMENTAL RESEARCH 2021; 198:111279. [PMID: 33961826 DOI: 10.1016/j.envres.2021.111279] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 04/24/2021] [Accepted: 04/30/2021] [Indexed: 06/12/2023]
Abstract
p-Aminoazobenzene (pAAB) is a hazardous azo dye that causes considerable harm to human health and the environment. The development of novel and sensitive sensors for the rapid detection of pAAB is in high demand. In this study, a simple fluorescent sensor for pAAB detection is designed based on carbon dots (CDs) which are prepared using green carbon source of Momordica charantia L. via a facile hydrothermal approach. The fluorescence spectra of CDs exhibit considerable overlap with the absorption band of pAAB, and the fluorescence is specifically suppressed in the presence of pAAB ascribed to the inner filter effect. Good and wide linearity is observed in the pAAB concentration range of 0.01-12.5 μg mL-1 with a lower detection limit of 3.9 ng mL-1. The established method achieves good results with a rapid analysis of pAAB in different practical water and soil samples. The as-constructed fluorescent sensor provides a simple, rapid, economical and eco-friendly platform and possesses prospective applications for the effective, selective and sensitive detection of pAAB in the environmental field.
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Affiliation(s)
- Yongli Liu
- School of Environment, Henan Key Laboratory for Environmental Pollution Control, Key Laboratory for Yellow River and Huai River Water Environmental and Pollution Control, Ministry of Education, Henan Normal University, Xinxiang, Henan, 453007, China.
| | - Xiaoyan Su
- School of Environment, Henan Key Laboratory for Environmental Pollution Control, Key Laboratory for Yellow River and Huai River Water Environmental and Pollution Control, Ministry of Education, Henan Normal University, Xinxiang, Henan, 453007, China
| | - Letian Chen
- School of Environment, Henan Key Laboratory for Environmental Pollution Control, Key Laboratory for Yellow River and Huai River Water Environmental and Pollution Control, Ministry of Education, Henan Normal University, Xinxiang, Henan, 453007, China
| | - Huanjia Liu
- School of Environment, Henan Key Laboratory for Environmental Pollution Control, Key Laboratory for Yellow River and Huai River Water Environmental and Pollution Control, Ministry of Education, Henan Normal University, Xinxiang, Henan, 453007, China
| | - Chunyuan Zhang
- School of Environment, Henan Key Laboratory for Environmental Pollution Control, Key Laboratory for Yellow River and Huai River Water Environmental and Pollution Control, Ministry of Education, Henan Normal University, Xinxiang, Henan, 453007, China
| | - Jiali Liu
- School of Environment, Henan Key Laboratory for Environmental Pollution Control, Key Laboratory for Yellow River and Huai River Water Environmental and Pollution Control, Ministry of Education, Henan Normal University, Xinxiang, Henan, 453007, China
| | - Jiayi Hao
- School of Environment, Henan Key Laboratory for Environmental Pollution Control, Key Laboratory for Yellow River and Huai River Water Environmental and Pollution Control, Ministry of Education, Henan Normal University, Xinxiang, Henan, 453007, China
| | - Yu Shangguan
- School of Environment, Henan Key Laboratory for Environmental Pollution Control, Key Laboratory for Yellow River and Huai River Water Environmental and Pollution Control, Ministry of Education, Henan Normal University, Xinxiang, Henan, 453007, China
| | - Guifen Zhu
- School of Environment, Henan Key Laboratory for Environmental Pollution Control, Key Laboratory for Yellow River and Huai River Water Environmental and Pollution Control, Ministry of Education, Henan Normal University, Xinxiang, Henan, 453007, China.
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Wang C, Li W, Lv Y, Bai H, Zhao P, Wen L, Wang C, Ma Q. Rapid analysis of perfluorinated carboxylic acids in textiles by dielectric barrier discharge ionization-mass spectrometry. Microchem J 2020. [DOI: 10.1016/j.microc.2020.104773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Gao J, Zhao C, Zhang Z, Li G. An intrinsic internal standard substrate of Au@PS-b-P4VP for rapid quantification by surface enhanced Raman scattering. Analyst 2017; 142:2936-2944. [DOI: 10.1039/c7an01061c] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Reliable quantification by surface enhanced Raman scattering (SERS) highly depends on the development of a reproducible substrate with excellent anti-interference capability and precise calibration methods.
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Affiliation(s)
- Jiamin Gao
- School of Chemistry
- Sun Yat-sen University
- Guangzhou
- China
| | - Cheng Zhao
- School of Chemistry
- Sun Yat-sen University
- Guangzhou
- China
| | - Zhuomin Zhang
- School of Chemistry
- Sun Yat-sen University
- Guangzhou
- China
| | - Gongke Li
- School of Chemistry
- Sun Yat-sen University
- Guangzhou
- China
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