食品科学 ›› 2024, Vol. 45 ›› Issue (15): 295-305.doi: 10.7506/spkx1002-6630-20231124-203

• 专题论述 • 上一篇    下一篇

冷链贮运中生鲜食品劣变的快检技术研究进展

张宜新, 刘通, 张峰   

  1. (1.中国检验检疫科学研究院食品安全研究所, 北京 100176;2.国家市场监管重点实验室(食品质量与安全), 北京 100176;3.中国医科大学药学院, 辽宁 沈阳 110122)
  • 出版日期:2024-08-15 发布日期:2024-08-04
  • 基金资助:
    “十四五”国家重点研发计划重点专项(2022YFF1100900)

Research Progress on Rapid Techniques for Detection of Quality Deterioration of Fresh Foods during Cold Chain Transportation

ZHANG Yixin, LIU Tong, ZHANG Feng   

  1. (1. Institute of Food Safety, Chinese Academy of Inspection and Quarantine, Beijing 100176, China; 2. Key Laboratory of Food Quality and Safety for State Market Regulation, Beijing 100176, China; 3. School of Pharmacy, China Medical University, Shenyang 110122, China)
  • Online:2024-08-15 Published:2024-08-04

摘要: 冷链贮运是生鲜食品安全和品质的有力保障。目前我国冷链贮运系统处于快速发展阶段, 因冷链条件失控引起的生鲜食品劣变现象屡见不鲜。因此, 快速、灵敏检测冷链贮运过程中生鲜食品劣变情况, 对生鲜食品质量安全进行及时、有效的预警与控制具有重要意义。本文总结了近3 年报道的冷链生鲜食品劣变快速检测技术。针对指示剂检测、光谱技术以及传感器等手段进行了全面的综述, 重点关注了基于新材料(纳米材料、复合材料)、新设备(智能手机、智能包装)、新方法(人工智能、神经网络)的快检技术以及基于原位实时质谱检测方法的应用, 讨论了各类方法的优势以及不足, 并对未来的发展前景进行了展望, 以期为冷链生鲜食品劣变快速检测新方法开发提供参考。

关键词: 冷链贮运;快检技术;生鲜食品;品质劣变

Abstract: Cold chain storage and transportation provides strong guarantees for the safety and quality of fresh foods. Currently, the cold chain system in China is still under rapid development, and quality deterioration in fresh foods caused by uncontrolled cold chain conditions is nothing new. Therefore, rapid and sensitive detection of quality deterioration in fresh foods during cold chain storage and transportation is of great significance for timely and effective early warning and control of quality and safety risks of fresh foods. This article provides an overview of the rapid techniques reported in recent three years for the detection of quality deterioration in fresh food products in the cold chain, such as indicator methods, spectroscopy, and sensors, with a particular focus on those based on new materials (nanomaterials and composite materials), new devices (smartphones and smart packaging) and new approaches (artificial intelligence and neural networks), as well as the application of in-situ real-time mass spectrometry. The advantages and limitations of each method are discussed, and future development prospects are discussed to provide a reference for the development of new methods for the detection of quality deterioration in fresh food products in the cold chain.

Key words: cold chain transportation; rapid detection techniques; fresh foods; deterioration

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