Ying Rui, Li Nan, Zhang Yuyang, Chen Hong, Zhang Shutong, Feng Rui, Li Jiao, Wang Sai, Mao Xiangzhao
State Key Laboratory of Marine Food Processing and Safety Control, College of Food Science and Engineering, Ocean University of China, Qingdao 266404, PR China; Qingdao Key Laboratory of Food Biotechnology, Qingdao 266404, PR China; Key Laboratory of Biological Processing of Aquatic Products, China National Light Industry, Qingdao 266404, PR China.
State Key Laboratory of Marine Food Processing and Safety Control, College of Food Science and Engineering, Ocean University of China, Qingdao 266404, PR China; Qingdao Key Laboratory of Food Biotechnology, Qingdao 266404, PR China; Key Laboratory of Biological Processing of Aquatic Products, China National Light Industry, Qingdao 266404, PR China.
Biotechnol Adv. 2025 May 19;83:108607. doi: 10.1016/j.biotechadv.2025.108607.
In aquaculture, the presence of antibiotic residues is an escalating concern that poses significant risks to human health. Establishing efficient and user-friendly detection methods for antibiotic residues has become crucial to mitigate these potential hazards. To address the limitations of traditional techniques, novel enzyme biosensors, offering high sensitivity and specificity and rapid response, has been introduced for monitoring a wide range of antibiotics in food safety applications. Herein, this paper reviews the innovations and advances of smart enzyme biosensors for the detection of up to 23 antibiotics in aquatic foods (fish, shrimp, crab, etc.) and related water samples in the last decade, focusing on biosensors' construction principles, detection performance, and potential applications. The colorimetric biosensors account for 62.5 %, and the limit of detection (LOD) reaches as low as fM levels. To our best knowledge, this is the first review to introduce the innovations and progress in smart enzyme biosensors for the detection of antibiotic residues in aquaculture, with the evolution from conventional natural enzyme-based biosensors to biosensors containing bio-recognition elements and mimic enzymes, and then the integrated mimic enzyme-based biosensors. These biosensors realized highly-sensitive and specific detection of antibiotics. Further development should focus on exploration of multifunctional and intelligent bio-sensing strategies, robust mimic enzyme-based biosensors, and biosensors based on integrated mechanism of recognition and transduction, so as to promote the techniques from lab studies into practical applications. This review serves as powerful enlightenment to inspire further enhancement of smart enzyme biosensors for monitoring antibiotics in aquaculture to ensure food safety.
在水产养殖中，抗生素残留的存在日益受到关注，对人类健康构成重大风险。建立高效且用户友好的抗生素残留检测方法对于减轻这些潜在危害至关重要。为克服传统技术的局限性，新型酶生物传感器已被引入食品安全应用中，用于监测多种抗生素，这类传感器具有高灵敏度、高特异性和快速响应的特点。本文综述了近十年来智能酶生物传感器在检测水产食品（鱼、虾、蟹等）及相关水样中多达23种抗生素方面的创新与进展，重点关注生物传感器的构建原理、检测性能及潜在应用。比色生物传感器占62.5%，检测限低至飞摩尔水平。据我们所知，这是第一篇介绍智能酶生物传感器在水产养殖抗生素残留检测方面创新与进展的综述，内容涵盖从传统天然酶基生物传感器到包含生物识别元件和模拟酶的生物传感器，再到集成模拟酶基生物传感器的演变。这些生物传感器实现了对抗生素的高灵敏度和高特异性检测。未来的进一步发展应聚焦于探索多功能和智能生物传感策略、坚固的模拟酶基生物传感器以及基于识别和转导集成机制的生物传感器，以推动该技术从实验室研究走向实际应用。本综述可为进一步提升智能酶生物传感器在水产养殖抗生素监测中的性能以确保食品安全提供有力启发。
