文献类型： 外文期刊

作者： Wang, Xinchi ¹ ; Yang, Tingting ³ ; Fang, Longxiang ¹ ; Yang, Yong ¹ ; Zhang, Haitao ³ ; Yang, Jianghua ⁷ ; Wang, Changbo ⁸ ; Fan, Limin ¹ ; Zang, Xuelei ⁶ ; Meng, Shunlong ¹ ; Song, Chao ¹ ;

作者机构： 1.Nanjing Agr Univ, Wuxi Fisheries Coll, Wuxi 214081, Peoples R China

2.Chinese Acad Fishery Sci, Freshwater Fisheries Res Ctr, Wuxi 214081, Peoples R China

3.Jiangsu Su Wei Inst Microbiol Co Ltd, Wuxi 214063, Peoples R China

4.Minist Agr & Rural Affairs, Lab Qual & Safety Risk Assessment Aquat Prod Envir, Wuxi 214081, Peoples R China

5.Minist Agr & Rural Affairs, Key Lab Control Qual & Safety Aquat Prod, Beijing 100000, Peoples R China

6.Capital Med Univ, Beijing Shijitan Hosp, Dept Resp & Crit Care, Beijing 100000, Peoples R China

7.Nanjing Univ, Sch Environm, State Key Lab Pollut Control & Resource, Nanjing Univ Xianlin Campus,163 Xianlin Ave, Nanjing 210023, Peoples R China

8.Kunshan Bacheng Construct Bur, Suzhou 215300, Peoples R China

9.Chinese Acad Fishery Sci, Freshwater Fisheries Res Ctr, Key Lab Freshwater Fisheries & Germplasm Resources, Minist Agr & Rural Affairs, Wuxi 214081, Peoples R China

关键词： Citizen science; Smartphones; On-site detection; Antibiotics

期刊名称：SCIENCE OF THE TOTAL ENVIRONMENT （ 影响因子：8.2； 五年影响因子：8.6 ）

ISSN： 0048-9697

年卷期： 2024 年 934 卷

页码：

收录情况： SCI

摘要： Citizen scientist-based environmental monitoring and public education are becoming increasingly popular. However, current technologies for antibiotic-based novel contaminant identification are still restricted to laboratory sample collection and analysis due to detection methodologies and apparatus limitations. This study developed a time-resolved immunofluorescence-based simultaneous field-based assay for ciprofloxacin (CIP) and enrofloxacin (ENR) that matches test results to geographic locations. The assay helps the public understand the potential levels of antibiotic exposures in their environments and helps them take appropriate action to reduce risk. The assay was developed using smartphones and social software in addition to rapid testing. The method uses a portable, low-cost analytical kit with a smartphone app to build a field-based detection platform for the detection and analysis of ENR and CIP in water and aquatic products. The methodological evaluation was good, with detection limits of 0.4 ng/mL and 0.5 ng/g for ENR in water and fish, and quantification limits of 1.2 ng/mL and 1.4 ng/g, with recoveries of 89.0 %-101.0 % and 78.0 %-97.0 %. For CIP in water and fish, the limits of detection were 0.3 ng/mL and 0.4 ng/g, the limits of quantification were 0.9 ng/mL and 1.2 ng/g, and the recoveries were 75.0 %-91.0 % and 72.0 %-89.0 %, both with coefficients of variation <15 %. These limits were sufficient to prevent the two antibiotics from crossing over during simultaneous detection. The assay was validated using real samples to assess the effectiveness of the assay platform in field deployments, and the results were consistent with those obtained through liquid chromatography-tandem mass spectrometry (LC-MS) and enzyme-linked immunoassay (ELISA) techniques. In addition, the TRFIA assay process requires less time, uses more portable instruments, and is less complex than traditional methods. This study provides a new scientific, accurate, and rapid detection method for antibiotic detection by citizen scientists, helping scientists to obtain a wider range of data and providing more opportunities to solve scientific problems.