Intelligent System/Equipment for Quality Deterioration Detection of Fresh Food: Recent Advances and Application

Autor: Dianyuan Wang, Min Zhang, Qiyong Jiang, Arun S. Mujumdar
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Foods, Vol 13, Iss 11, p 1662 (2024)
Druh dokumentu: article
ISSN: 2304-8158
DOI: 10.3390/foods13111662
Popis: 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.
Databáze: Directory of Open Access Journals