ArticleOpen Access http://dx.doi.org/10.26855/ijfsa.2023.09.009
Application of Multispectral Imaging Technology in Food Quality and Safety Inspection
Yu Liu1,*, Xianqing Huang2
1Henan GRG Metrology & Test Co., Ltd., Zhengzhou, Henan, China.
2College of Food Scientific Technology, Henan Agricultural University, Zhengzhou, Henan, China.
*Corresponding author: Yu Liu
Published: October 18,2023
Abstract
This paper investigates the application of multispectral imaging technology in the detection of food quality and safety. The principle of multispectral imaging technology is introduced, showcasing its capability to capture and analyze the spectral information of food samples across different wavelengths. The application of multispectral imaging technology in food quality detection is discussed, encompassing ripeness and texture detection. It includes the assessment of fruit and vegetable ripeness, as well as the analysis of meat and seafood textures. Moreover, the detection of pesticide residues in agricultural products and chemical pollutants in food is explored. Multispectral imaging technology provides a non-destructive and efficient method to identify and quantify such contaminants, ensuring the safety of the food supply chain. Furthermore, the application of multispectral imaging technology in food safety detection is analyzed. This involves the identification of pathogenic microorganisms, including bacteria and viruses, which pose a health risk. Multispectral imaging enables rapid and accurate detection, aiding in the prevention of foodborne illnesses. Additionally, the assessment of contaminants in food, such as the presence of harmful substances or additives, is addressed. Multispectral imaging enables the identification and monitoring of these contaminants, thereby contributing to the overall food safety measures. In summary, the utilization of multispectral imaging technology offers great potential for enhancing food quality and safety detection, ensuring the delivery of safe and healthy food products to consumers.
Keywords
Multispectral imaging technology, food quality, food safety, food detection
References
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Copyright
© 2023 by the author(s).
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND) license, which permits non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited and is not modified or adapted.
https://creativecommons.org/licenses/by-nc-nd/4.0/
How to cite this paper
Application of Multispectral Imaging Technology in Food Quality and Safety Inspection
How to cite this paper: Yu Liu, Xianqing Huang. (2023) Application of Multispectral Imaging Technology in Food Quality and Safety Inspection. International Journal of Food Science and Agriculture, 7(3), 396-400.
DOI: http://dx.doi.org/10.26855/ijfsa.2023.09.009