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Development and Frontier Exploration of Food Intelligent Perception Technology.

Authors :
Tian Shiyi
Jiang Guoxin
Mao Yuezhong
Qin Yumei
Shi Shuangni
Cao Yanyun
Qin Zihan
Han Jianzhong
Cheng Shiwen
Source :
Journal of Chinese Institute of Food Science & Technology; Jun2024, Vol. 24 Issue 6, p1-11, 11p
Publication Year :
2024

Abstract

Intelligent perception technology is an advanced bionic technology that simulates human sensory organs using sensor technology to capture various sensory attributes of samples. By combining intelligent recognition algorithms and signal processing, it enables the comprehensive anthropomorphic evaluation of sample quality. As a modern extension and supplement to traditional sensory evaluation techniques, intelligent perception technology offers technical characteristics such as fast detection speed, no sample pretreatment, easy operation, and real-time online analysis, etc. It serves as a powerful tool for in-depth perception of sensory quality in food. This paper provides an overview of several key intelligent perception technologies in food industry, including electronic tongue technology for simulating taste, electronic nose technology for simulating smell, texture analyzers for simulating touch, and electronic vision systems for simulating sight. Additionally, the article summarizes the application and research progress of intelligent perception technology in food quality evaluation, while also discussing the potential development possibilities of intelligent sensing technology in static sensory, dynamic sensory, and emotional perception representation. With rapid advancements in interdisciplinary fields such as biology, materials science, and computer science, intelligent perception technology is expected to evolve from distinguishing and identifying the overall sensory characteristics of samples to detecting and representing food preferences and emotions, thereby providing new impetus for the development of the food industry. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10097848
Volume :
24
Issue :
6
Database :
Complementary Index
Journal :
Journal of Chinese Institute of Food Science & Technology
Publication Type :
Academic Journal
Accession number :
178898721
Full Text :
https://doi.org/10.16429/j.10009-7848.2024.06.001