Gao Shipeng, Sun Qing, Katona Jaroslav, Zhang Di, Zhang Yang, Zou Xiaobo
School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
University of Novi Sad, Faculty of Technology Novi Sad, Bul. cara Lazara 1, 21000 Novi Sad, Serbia.
J Agric Food Chem. 2025 Sep 17;73(37):23045-23077. doi: 10.1021/acs.jafc.5c06078. Epub 2025 Sep 2.
Ensuring food safety and freshness demands highly sensitive and reliable biosensors for food contaminant detection, where signal probes act as vital elements in this endeavor. Metal-organic framework nanozymes (MOFzymes) have emerged as signal probes owing to their highly tunable porosity, component versatility for modulating enzyme-like activity, and customizable surface modifications. This review systematically encapsulates MOFzyme-based biosensors for the identification of diverse food pollutants. An overview of various kinds of MOFzymes, encompassing both pristine and postmodified variations, is provided, alongside the techniques for modulating and enhancing their peroxidase-mimicking properties. The advancement of biosensing technologies for the detection of food hazards is elucidated to offer a comprehensive introduction. Furthermore, several detection modalities originating from MOFzyme-based biosensing approaches are introduced, with a specific focus on multiple detection modes. MOFzyme-based biosensing methods have been introduced for the detection of contaminants, including bacterial pathogens, mycotoxins, pesticides, and antibiotics. This research highlights innovative engineering techniques that utilize the synergistic properties of MOFzymes to develop integrated biosensors for food contaminants. These developments enable ultrasensitive and multiplexed detection of pollutants in complex food matrices, exceeding the limitations of existing assays through enhanced catalytic efficiency and signal amplification.
确保食品安全和新鲜度需要用于食品污染物检测的高灵敏度和可靠的生物传感器，其中信号探针在这一过程中起着至关重要的作用。金属有机框架纳米酶（MOFzymes）因其高度可调的孔隙率、调节类酶活性的成分多样性以及可定制的表面修饰而成为信号探针。本综述系统地总结了基于MOFzyme的生物传感器用于识别各种食品污染物的情况。提供了各种MOFzymes的概述，包括原始的和后修饰的变体，以及调节和增强其过氧化物酶模拟特性的技术。阐述了用于检测食品危害的生物传感技术的进展，以提供全面的介绍。此外，还介绍了几种源自基于MOFzyme的生物传感方法的检测模式，特别关注多种检测模式。已经介绍了基于MOFzyme的生物传感方法用于检测污染物，包括细菌病原体、霉菌毒素、农药和抗生素。本研究强调了利用MOFzymes的协同特性开发用于食品污染物的集成生物传感器的创新工程技术。这些进展能够对复杂食品基质中的污染物进行超灵敏和多重检测，通过提高催化效率和信号放大超过了现有检测方法的局限性。
