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Yuwen L, Ni J, Liang J, Liu X, Chen Z, Li X, Lv H, Zhang J, Song C. Portable SERS biosensor based on aptamer-assisted catalytic hairpin assembly signal amplification for ultrasensitive detection of Staphylococcus aureus. Talanta 2024; 278:126565. [PMID: 39018762 DOI: 10.1016/j.talanta.2024.126565] [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: 09/20/2023] [Revised: 06/11/2024] [Accepted: 07/12/2024] [Indexed: 07/19/2024]
Abstract
Bacteria infections pose a serious threat to public health, and it is urgent to develop facile and accurate detection methods. To meet the important need, a potable and high-sensitive surface enhanced Raman scattering (SERS) biosensor based on aptamer recognition and catalytic hairpin assembly (CHA) signal amplification was proposed for point-of-care detection of Staphylococcus aureus (S. aureus). The SERS biosensor contains three parts: recognition probes, SERS sensing chip, and SERS tags. The feasibility of the strategy was verified by gel electrophoresis, and the one-step test route was optimized. The bacteria SERS biosensor has a good linear relationship ranging from 10 to 107 CFU mL-1 with high sensitivity low to 5 CFU mL-1, and shows excellent specificity, uniformity, and repeatability on S. aureus identification and enumeration, which can distinguish S. aureus from other bacteria. The SERS biosensor shows a good recovery rate (95.73 %-109.65 %) for testing S. aureus spiked in milk, and has good practicability for detecting S. aureus infected mouse wound, which provides a facile and reliable approach for detection of trace bacteria in the real samples.
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Affiliation(s)
- Lihui Yuwen
- State Key Laboratory of Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Jie Ni
- State Key Laboratory of Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Jing Liang
- State Key Laboratory of Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Xinyu Liu
- State Key Laboratory of Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Zhilong Chen
- State Key Laboratory of Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Xiao Li
- State Key Laboratory of Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Huiming Lv
- State Key Laboratory of Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Jingjing Zhang
- State Key Laboratory of Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Chunyuan Song
- State Key Laboratory of Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China; State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, 130033, China.
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Wang C, Weng G, Li J, Zhu J, Zhao J. A review of SERS coupled microfluidic platforms: From configurations to applications. Anal Chim Acta 2024; 1296:342291. [PMID: 38401925 DOI: 10.1016/j.aca.2024.342291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 01/25/2024] [Accepted: 01/26/2024] [Indexed: 02/26/2024]
Abstract
Microfluidic systems have attracted considerable attention due to their low reagent consumption, short analysis time, and ease of integration in comparison to conventional methods, but still suffer from shortcomings in sensitivity and selectivity. Surface enhanced Raman scattering (SERS) offers several advantages in the detection of compounds, including label-free detection at the single-molecule level, and the narrow Raman peak width for multiplexing. Combining microfluidics with SERS is a viable way to improve their detection sensitivity. Researchers have recently developed several SERS coupled microfluidic platforms with substantial potential for biomolecular detection, cellular and bacterial analysis, and hazardous substance detection. We review the current development of SERS coupled microfluidic platforms, illustrate their detection principles and construction, and summarize the latest applications in biology, environmental protection and food safety. In addition, we innovatively summarize the current status of SERS coupled multi-mode microfluidic platforms with other detection technologies. Finally, we discuss the challenges and countermeasures during the development of SERS coupled microfluidic platforms, as well as predict the future development trend of SERS coupled microfluidic platforms.
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Affiliation(s)
- Chenyang Wang
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an 710049, China
| | - Guojun Weng
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an 710049, China.
| | - Jianjun Li
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an 710049, China
| | - Jian Zhu
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an 710049, China
| | - Junwu Zhao
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an 710049, China.
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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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