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Deng R, Xia Z, Yan F, Feng X, Zhang G, Li X. Inkjet Printing Patterned Plasmonic SERS Platform with Surface-Optimized Paper for Label-Free Detection of Illegal Drugs in Urine. Anal Chem 2024. [PMID: 39373888 DOI: 10.1021/acs.analchem.4c03549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/08/2024]
Abstract
Rapid quantitative testing of illegal drugs is urgently needed for precisely cracking down on drug crimes. Herein, an optimized paper-based surface-enhanced Raman spectroscopy (SERS) platform with patterned printing of plasmonic nanoparticles was constructed for the on-site quick testing of illegal drugs in urine. The filter paper was first coated with a layer of positive-charged chitosan, so as to reduce its roughness by filling the holes of the cellulose matrix and enhance the adhesion of negative-charged silver ink. Subsequently, hydrophobic modification was performed based on the binary silylation reaction, which could obviously improve the sensitivity of the paper-based SERS substrate by concentrating the amount of analyte. Meanwhile, SERS-active silver ink was fabricated and further printed on the surface of the above modified paper with custom-designed pattern (3 × 6). The performance of this SERS platform was assessed by using crystal violet (CV) as a model tag, and the obtained results proved it possesses excellent sensitivity and reproducibility, in which the relative standard deviation (RSD) dropped remarkably. More importantly, as a proof of concept, rapid detection of standard methylamphetamine (MAMP), one of the most widely abused drugs, was achieved with a limit of detection (LOD) of 1.43 ppb using a portable Raman spectrometer. And it also had a good capability in human urine sample detection, with a correlation index (R2) up to 0.9927. This optimized paper-based SERS platform was easily manufactured, cheap, and portable, providing a new strategy for the on-site detection of illicit drugs.
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Affiliation(s)
- Rong Deng
- Institute of Biomedical Precision Testing and Instrumentation, College of Artificial Intelligence, Taiyuan University of Technology, Jinzhong 030600, Shanxi, China
| | - Zhenrong Xia
- Institute of Biomedical Precision Testing and Instrumentation, College of Artificial Intelligence, Taiyuan University of Technology, Jinzhong 030600, Shanxi, China
| | - Fang Yan
- Institute of Biomedical Precision Testing and Instrumentation, College of Artificial Intelligence, Taiyuan University of Technology, Jinzhong 030600, Shanxi, China
| | - Xingqiao Feng
- Research Institute of Criminal Science and Technology, Police Security Bureau of Shanxi Province, Jinzhong 030600, Shanxi, China
| | - Gaoqin Zhang
- Research Institute of Criminal Science and Technology, Police Security Bureau of Shanxi Province, Jinzhong 030600, Shanxi, China
| | - Xiaochun Li
- Institute of Biomedical Precision Testing and Instrumentation, College of Artificial Intelligence, Taiyuan University of Technology, Jinzhong 030600, Shanxi, China
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Dong X, Yan X, Yuan Y, Xia Y, Yue T. Regenerated SERS substrate based on Ag/AuNPs-TiO 2-oxidized carbon cloth for detection of imidacloprid. Food Chem 2024; 451:139515. [PMID: 38703734 DOI: 10.1016/j.foodchem.2024.139515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 04/15/2024] [Accepted: 04/27/2024] [Indexed: 05/06/2024]
Abstract
Imidacloprid (IMI) are widely used in modern tea industry for pest control, but IMI residues pose a great threat to human health. Herein, we propose a regeneration metal-semiconductor SERS substrate for IMI detection. We fabricated the SERS sensor through the in-situ growth of a nano-heterostructure incorporating a semiconductor (TiO2) and plasmonic metals (Au, Ag) on oxidized carbon cloth (OCC). Leveraging the high-density hot spots, the formed Ag/AuNPs-TiO2-OCC substrate exhibits higher enhancement factors (1.92 × 108) and uniformity (RSD = 7.68%). As for the detection of IMI on the substrate, the limit of detection was lowered to 4.1 × 10-6 μg/mL. With a hydrophobic structure, the Ag/AuNPs-TiO2-OCC possessed excellent self-cleaning performance addressing the limitation of single-use associated with traditional SERS substrates, as well as the degradation capability of the substrate under ultraviolet (UV) light. Accordingly, Ag/AuNPs-TiO2-OCC showcases outstanding SERS sensing and regenerating properties, making it poised for extensive application in the field of food safety assurance.
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Affiliation(s)
- Xinru Dong
- College of Food Science and Technology, Northwest University, Xi'an 710069, China; College of Food Science and Engineering, Northwest A&F University, Yangling 712100, China
| | - Xiaohai Yan
- College of Food Science and Technology, Northwest University, Xi'an 710069, China; College of Food Science and Engineering, Northwest A&F University, Yangling 712100, China
| | - Yahong Yuan
- College of Food Science and Technology, Northwest University, Xi'an 710069, China
| | - Yinqiang Xia
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, China.
| | - Tianli Yue
- College of Food Science and Technology, Northwest University, Xi'an 710069, China.
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Mi S, Xu C, Liu Q, Du Y, Yuan S, Yu H, Guo Y, Cheng Y, Xie Y, Yao W. Raman silent region - based method for detection of pesticides with cyano group. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 316:124326. [PMID: 38669978 DOI: 10.1016/j.saa.2024.124326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 04/03/2024] [Accepted: 04/21/2024] [Indexed: 04/28/2024]
Abstract
Based on the fact that not all chemical substances possess good Raman signals, this article focuses on the Raman silent region signals of pesticides with cyano group. Under the optimized conditions of methanol-water (1:1, v/v) as the solvent, irradiation at 302 nm light source for 20 min, and the use of 0.5 mol/L KI as the aggregating agent, Surface-enhanced Raman spectroscopy (SERS) method for azoxystrobin detection was developed by the Raman silent region signal of 2230 cm-1, and verified by detecting the spiked grapes with different concentrations of azoxystrobin. Other four pesticides with cyano group also could be identified at the peak of 2180 cm-1, 2205 cm-1, 2125 cm-1, and 2130 cm-1 for acetamiprid, phoxim, thiacloprid and cymoxanil, respectively. When azoxystrobin or acetamiprid was mixed respectively with chlorpyrifos without cyano group, their SERS signals in the Raman silent region of chlorpyrifos were not interfered, while mixed with cymoxanil in different ratios (1:4, 1:1 and 4:1), respectively, each two pesticides with cyano group could be distinguished by the changes in the Raman silent region. In further, four pesticides with or without cyano group were mixed together in 1:1:1:1 (acetamiprid, cymoxanil, azoxystrobin chlorpyrifos), and each pesticide still could be identified even at 0.5 mg/L. The results showed that the SERS method combined with UV irradiation may provide a new way to monitor the pesticides with C≡N performance in the Raman silent region without interference from the food matrix.
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Affiliation(s)
- Shuna Mi
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu Province, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu Province, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, China
| | - Chang Xu
- China Academy of Launch Vehicle Technology, Beijing, China
| | - Qingrun Liu
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu Province, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu Province, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, China
| | - Yuhang Du
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu Province, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu Province, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, China
| | - Shaofeng Yuan
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu Province, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu Province, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, China
| | - Hang Yu
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu Province, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu Province, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, China
| | - Yahui Guo
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu Province, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu Province, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, China
| | - Yuliang Cheng
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu Province, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu Province, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, China
| | - Yunfei Xie
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu Province, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu Province, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, China
| | - Weirong Yao
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu Province, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu Province, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, China.
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Zhou H, Qiu J, Zhang Y, Liang Y, Han L, Zhang Y. Self-assembled C-Ag hybrid nanoparticle on nanoporous GaN enabled ultra-high enhancement factor SERS sensor for sensitive thiram detection. JOURNAL OF HAZARDOUS MATERIALS 2024; 469:133868. [PMID: 38447363 DOI: 10.1016/j.jhazmat.2024.133868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 02/21/2024] [Accepted: 02/21/2024] [Indexed: 03/08/2024]
Abstract
Considering pesticide residues cause significant harm to public health and the environment, developing a simple, sensitive, and reliable approach to pesticide residue detection to address this issue is necessary. In this study, an ultrasensitive and reliable surface-enhanced Raman scattering (SERS) sensor was developed using cetylpyridinium chloride as a protecting and reducing agent for the in situ synthesis and self-assembly of C-Ag nanoparticles on nanoporous GaN for the quantitative detection of thiram. A systematic investigation of the performance of the SERS sensor revealed that the SERS sensor delivered a limit of detection (LOD) of 10-14 M and an enhancement factor of up to 1.80 × 1011 with reasonable uniformity and reproducibility, with the stability of the SERS sensor demonstrated via long-term storage for up to 22 weeks in air. The enhancement mechanism of the SERS sensor was verified using a finite-difference time-domain simulation. The SERS sensor successfully detected thiram in real samples with an LOD of 10-10 M. Hence, this study provides an effective platform for monitoring food safety and the environment.
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Affiliation(s)
- Hongpeng Zhou
- Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China
| | - Jiaoyan Qiu
- Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China
| | - Yunhong Zhang
- Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China
| | - Yanbo Liang
- Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China
| | - Lin Han
- Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China.
| | - Yu Zhang
- Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China.
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Wang H, Chen Y, Yang Y, Xu P, Zhang B, Lu Y, He W, Liu Y, Zhang JH, Xiao X, You R. Preparation of cellulose-based flexible SERS and its application for rapid and ultra-sensitive detection of thiram on fruits and vegetables. Int J Biol Macromol 2024; 262:129941. [PMID: 38342254 DOI: 10.1016/j.ijbiomac.2024.129941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 01/18/2024] [Accepted: 02/01/2024] [Indexed: 02/13/2024]
Abstract
In response to the prevalent issue of thiram as a common pesticide residue on the surface of fruits and vegetables, our research team employed an acidic hydrated metal salt low co-fusion solvent to dissolve cellulose lysis slurry. Subsequently, a regenerated cellulose membrane (RCM) was successfully prepared via sol-gel method. Uniformly sized Ag nanoparticles (NPs) were deposited on RCM utilizing the continuous ion layer adsorption and reaction (SILAR) technique. The resulting Ag NPs/RCM flexible surface-enhanced Raman spectroscopy (SERS) substrates exhibited a minimum detection limit of 5 × 10-9 M for Rhodamine 6G (R6G), demonstrating good uniformity (RSD = 4.86 %) and reproducibility (RSD = 3.07 %). Moreover, the substrate displayed a remarkable sensitivity of 10-10 M toward thiram standard solution. Given its inherent flexibility, the substrate proves advantageous for the detection of three-dimensional environments such as fruit and vegetable surfaces, and its practicality has been confirmed in the detection of thiram residue on apples, tomatoes, pears, and other fruits and vegetables.
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Affiliation(s)
- Haonan Wang
- College of Chemistry and Materials Science, Fujian Provincial Key Laboratory of Advanced Oriented Chemical Engineer, Fujian Key Laboratory of Polymer Materials, Engineering Research Center of Industrial Biocatalysis, Fujian Province Higher Education Institutes, Fujian Normal University, Fuzhou, Fujian 350007, China; School of Resources and Chemical Engineering, Sanming University, Sanming, Fujian 365004, China
| | - Yujia Chen
- College of Chemistry and Materials Science, Fujian Provincial Key Laboratory of Advanced Oriented Chemical Engineer, Fujian Key Laboratory of Polymer Materials, Engineering Research Center of Industrial Biocatalysis, Fujian Province Higher Education Institutes, Fujian Normal University, Fuzhou, Fujian 350007, China
| | - Yixuan Yang
- College of Chemistry and Materials Science, Fujian Provincial Key Laboratory of Advanced Oriented Chemical Engineer, Fujian Key Laboratory of Polymer Materials, Engineering Research Center of Industrial Biocatalysis, Fujian Province Higher Education Institutes, Fujian Normal University, Fuzhou, Fujian 350007, China
| | - Peipei Xu
- College of Chemistry and Materials Science, Fujian Provincial Key Laboratory of Advanced Oriented Chemical Engineer, Fujian Key Laboratory of Polymer Materials, Engineering Research Center of Industrial Biocatalysis, Fujian Province Higher Education Institutes, Fujian Normal University, Fuzhou, Fujian 350007, China
| | - Bohan Zhang
- College of Chemistry and Materials Science, Fujian Provincial Key Laboratory of Advanced Oriented Chemical Engineer, Fujian Key Laboratory of Polymer Materials, Engineering Research Center of Industrial Biocatalysis, Fujian Province Higher Education Institutes, Fujian Normal University, Fuzhou, Fujian 350007, China
| | - Yudong Lu
- College of Chemistry and Materials Science, Fujian Provincial Key Laboratory of Advanced Oriented Chemical Engineer, Fujian Key Laboratory of Polymer Materials, Engineering Research Center of Industrial Biocatalysis, Fujian Province Higher Education Institutes, Fujian Normal University, Fuzhou, Fujian 350007, China
| | - Wenjin He
- College of Life Science, Southern Institute of Oceanography, Fujian Normal University, Fuzhou, China.
| | - Yunzhen Liu
- College of Chemistry and Materials Science, Fujian Provincial Key Laboratory of Advanced Oriented Chemical Engineer, Fujian Key Laboratory of Polymer Materials, Engineering Research Center of Industrial Biocatalysis, Fujian Province Higher Education Institutes, Fujian Normal University, Fuzhou, Fujian 350007, China
| | - Jian-Han Zhang
- School of Resources and Chemical Engineering, Sanming University, Sanming, Fujian 365004, China.
| | - Xiufeng Xiao
- College of Chemistry and Materials Science, Fujian Provincial Key Laboratory of Advanced Oriented Chemical Engineer, Fujian Key Laboratory of Polymer Materials, Engineering Research Center of Industrial Biocatalysis, Fujian Province Higher Education Institutes, Fujian Normal University, Fuzhou, Fujian 350007, China
| | - Ruiyun You
- College of Chemistry and Materials Science, Fujian Provincial Key Laboratory of Advanced Oriented Chemical Engineer, Fujian Key Laboratory of Polymer Materials, Engineering Research Center of Industrial Biocatalysis, Fujian Province Higher Education Institutes, Fujian Normal University, Fuzhou, Fujian 350007, China.
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6
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Zheng K, Shen Y, Chen Z, Zhao L, Li Z, Huang X, Shi J, Zhang Y, Xu X, Zhu Z, Jiang Z, Zhang M, Zou X. Bimetallic AuNR@AgNCs for ultrasensitive surface-enhanced Raman scattering sensing of dithianon in apple juice. Anal Chim Acta 2024; 1292:342199. [PMID: 38309856 DOI: 10.1016/j.aca.2023.342199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 11/21/2023] [Accepted: 12/31/2023] [Indexed: 02/05/2024]
Abstract
In this study, a bimetallic surfaced-enhanced Raman spectroscopy (SERS)-active substrate consisting of AuNR@AgNCs was proposed for the rapid detection of dithianon. Due to the significant synergistic enhancement of the core-shell nanocuboids, the obtained AuNR@AgNC substrate exhibited excellent SERS performance. The simulation findings supported the practical SERS results and demonstrated that interactions were mainly maintained by the nitrile functional group. The AuNR@AgNCs could be used to detect dithianon with an LOD value of 20 nM. Moreover, dithianon in river water and apple juice could be detected with recovery in the satisfactory ranges of 97.41%-98.35% and 97.77%-98.70%, respectively, by using this substrate under optimal conditions, indicating that the AuNR@AgNC substrate could serve as an excellent SERS detection platform for pesticide residues in fruit.
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Affiliation(s)
- Kaiyi Zheng
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China.
| | - Ye Shen
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Zhiyang Chen
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Lina Zhao
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Zhihua Li
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Xiaowei Huang
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Jiyong Shi
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Yang Zhang
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Xuechao Xu
- School of Food Science and Engineering, Yangzhou University, Yangzhou, 225127, Jiangsu, China.
| | - Zitao Zhu
- Department of Physics, East China University of Science and Technology, Shanghai, 200237, China
| | - Zhaoqiong Jiang
- Sichuan Research & Design Institute of Agricultural Machinery, Key Laboratory of Agricultural Equipment Technology for Hilly and Mountainous Areas, Ministry of Agriculture and Rural Affairs, Chengdu, 610066, Sichuan, China.
| | - Meng Zhang
- Department of Physics, East China University of Science and Technology, Shanghai, 200237, China.
| | - Xiaobo Zou
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China.
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