Wang Dianyuan, Zhang Min, Jiang Qiyong, Mujumdar Arun S
State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China.
Jiangsu Province International Joint Laboratory on Fresh Food Smart Processing and Quality Monitoring, Jiangnan University, Wuxi 214122, China.
Foods. 2024 May 25;13(11):1662. doi: 10.3390/foods13111662.
The quality of fresh foods tends to deteriorate rapidly during harvesting, storage, and transportation. Intelligent detection equipment is designed to monitor and ensure product quality in the supply chain, measure appropriate food quality parameters in real time, and thus minimize quality degradation and potential financial losses. Through various available tracking devices, consumers can obtain actionable information about fresh food products. This paper reviews the recent progress in intelligent detection equipment for sensing the quality deterioration of fresh foods, including computer vision equipment, electronic nose, smart colorimetric films, hyperspectral imaging (HSI), near-infrared spectroscopy (NIR), nuclear magnetic resonance (NMR), ultrasonic non-destructive testing, and intelligent tracing equipment. These devices offer the advantages of high speed, non-destructive operation, precision, and high sensitivity.
新鲜食品的质量在收获、储存和运输过程中往往会迅速下降。智能检测设备旨在监测并确保供应链中的产品质量,实时测量适当的食品质量参数,从而将质量下降和潜在的经济损失降至最低。通过各种可用的跟踪设备,消费者可以获得有关新鲜食品的可操作信息。本文综述了用于检测新鲜食品质量劣化的智能检测设备的最新进展,包括计算机视觉设备、电子鼻、智能比色膜、高光谱成像(HSI)、近红外光谱(NIR)、核磁共振(NMR)、超声无损检测和智能溯源设备。这些设备具有速度快、无损操作、精度高和灵敏度高的优点。