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先进传感器技术在冷链物流中水产品鲜度评估的研究综述。

A Review of Advanced Sensor Technologies for Aquatic Products Freshness Assessment in Cold Chain Logistics.

机构信息

Beijing Laboratory of Food Quality and Safety, College of Engineering, China Agricultural University, Beijing 100083, China.

Yantai Institute, China Agricultural University, Yantai 264670, China.

出版信息

Biosensors (Basel). 2024 Sep 30;14(10):468. doi: 10.3390/bios14100468.

Abstract

The evaluation of the upkeep and freshness of aquatic products within the cold chain is crucial due to their perishable nature, which can significantly impact both quality and safety. Conventional methods for assessing freshness in the cold chain have inherent limitations regarding specificity and accuracy, often requiring substantial time and effort. Recently, advanced sensor technologies have been developed for freshness assessment, enabling real-time and non-invasive monitoring via the detection of volatile organic compounds, biochemical markers, and physical properties. The integration of sensor technologies into cold chain logistics enhances the ability to maintain the quality and safety of aquatic products. This review examines the advancements made in multifunctional sensor devices for the freshness assessment of aquatic products in cold chain logistics, as well as the application of pattern recognition algorithms for identification and classification. It begins by outlining the categories of freshness criteria, followed by an exploration of the development of four key sensor devices: electronic noses, electronic tongues, biosensors, and flexible sensors. Furthermore, the review discusses the implementation of advanced pattern recognition algorithms in sensor devices for freshness detection and evaluation. It highlights the current status and future potential of sensor technologies for aquatic products within the cold chain, while also addressing the significant challenges that remain to be overcome.

摘要

由于水产品易腐坏的特性,其在冷链中的保鲜和新鲜度评估至关重要,这会显著影响产品的质量和安全。传统的冷链中评估新鲜度的方法在特异性和准确性方面存在固有局限性,通常需要大量的时间和精力。最近,已经开发出了先进的传感器技术,用于通过检测挥发性有机化合物、生化标志物和物理特性来实现实时和非侵入式监测。将传感器技术集成到冷链物流中,可以增强对水产品质量和安全的维护能力。本综述探讨了多功能传感器设备在冷链物流中水产品新鲜度评估方面的进展,以及模式识别算法在识别和分类方面的应用。首先概述了新鲜度标准的类别,接着探讨了四种关键传感器设备的发展:电子鼻、电子舌、生物传感器和柔性传感器。此外,还讨论了先进的模式识别算法在传感器设备中用于新鲜度检测和评估的应用。本文强调了传感器技术在冷链中水产品应用的现状和未来潜力,同时也讨论了仍然需要克服的重大挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b4d/11506179/9f0c214783ca/biosensors-14-00468-g002.jpg

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