WANG Yi-jie, YANG Zhi-hui, CHENG Jun-hu. Application Progress of Multispectral Imaging for Food Nutritional Quality Detection[J]. Science and Technology of Food Industry, 2020, 41(4): 339-347. DOI: 10.13386/j.issn1002-0306.2020.04.058
Citation: WANG Yi-jie, YANG Zhi-hui, CHENG Jun-hu. Application Progress of Multispectral Imaging for Food Nutritional Quality Detection[J]. Science and Technology of Food Industry, 2020, 41(4): 339-347. DOI: 10.13386/j.issn1002-0306.2020.04.058

Application Progress of Multispectral Imaging for Food Nutritional Quality Detection

  • Nutritional quality is one of the important attributes of food. Multispectral imaging(MSI)can be employed to noninvasively and rapidly evaluate food quality,which plays an important role in food nutritional quality. MSI simultaneously provides spectral and spatial information,models on the basis of chemometrics,and then builds a non-destructive rapid detection system of food quality. This review discusses and summarizes the researches of MSI applied to the nutritional quality of meat,garden stuff,and oil and grain crops,which includes content and change of moisture,protein,fat,soluble solids and bioactive component in food. At the same time,the current limitations of multi-spectral imaging technology are discussed,and the future development direction of the technology is prospected,so that online multi-spectral imaging detection equipment can be researched and developed,and it can cope with complex industrial production environment.
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