Department of Food Materials and Process Design Engineering, Gorgan University of Agricultural Science and Natural Resources, Gorgan, Iran.
Food Industry Research Co., Gorgan, Iran; Food and Bio-Nanotech International Research Center (Fabiano), Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran.
Adv Colloid Interface Sci. 2024 Mar;325:103111. doi: 10.1016/j.cis.2024.103111. Epub 2024 Feb 15.
Food contamination reveals a major health risk globally and presents a significant challenge for the food industry. It can stem from biological contaminants like pathogens, parasites, and viruses, or chemical contaminants such as heavy metals, pesticides, drugs, and hormones. There is also the possibility of naturally occurring hazardous chemicals. Consequently, the development of sensing platforms has become crucial to accurately and rapidly identify contaminants and hazards in food products. Electrospun nanofibers (NFs) offer a promising solution due to their unique three-dimensional architecture, large specific surface area, and ease of preparation. Moreover, NFs exhibit excellent biocompatibility, degradability, and adaptability, making monitoring more convenient and environmentally friendly. These characteristics also significantly reduce the detection process of contaminants. NF-based sensors have the ability to detect a wide range of biological, chemicals, and physical hazards. Recent research on NFs-based sensors for the detection of various food contaminants/hazards, such as pathogens, pesticide/drugs residues, toxins, allergens, and heavy metals, is presented in this review.
食品污染揭示了全球范围内的一个主要健康风险,对食品行业构成了重大挑战。它可能源于生物污染物,如病原体、寄生虫和病毒,或化学污染物,如重金属、农药、药物和激素。也有可能存在天然存在的有害化学物质。因此,开发传感平台对于准确和快速识别食品中的污染物和危害变得至关重要。电纺纳米纤维 (NFs) 因其独特的三维结构、大的比表面积和易于制备而提供了有希望的解决方案。此外,NFs 表现出优异的生物相容性、可降解性和适应性,使监测更加方便和环保。这些特性还大大减少了污染物的检测过程。基于 NF 的传感器能够检测广泛的生物、化学和物理危害。本文综述了最近关于基于 NFs 的传感器用于检测各种食品污染物/危害的研究,如病原体、农药/药物残留、毒素、过敏原和重金属。