Hyperspectral Imaging Sensing of Changes in Moisture Content and Color of Beef During Microwave Heating Process
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Moisture content (MC) and color are two important quality parameters of beef during microwave heating process. This study examined the effects of microwave heating time (0–75 s) on MC, color, and myoglobins of beef samples. The results showed that heating time significantly influenced the MC, color (L*, a*), and percentage of related myoglobins. The suitability of hyperspectral imaging (HSI) (400–1000 nm) was investigated to correlate the mean spectra of beef samples and the color and MC values during microwave treatment. After the use of pre-processing methods and optimum wavelengths selection, the SG-SPA-LS-SVM prediction model for MC (R2P = 0.869, RMSEP = 1.304, and RPD = 2.724) and the SG-RC-MLR model for a* (R2P = 0.890, RMSEP = 0.735, and RPD = 2.733) were established. The models were then used to develop the distribution maps of MC and a* values, respectively, showing that both MC and a* at the center of the meat slices were higher than those at the edge, corresponding to the temperature distribution during microwave heating. The results demonstrated the ability of HSI system for monitoring the changes of some quality parameters during microwave heating.
KeywordsHyperspectral imaging Beef Microwave heating Moisture content Color Myoglobin
The authors wish to acknowledge the contribution of undergraduate student Zhibin Liang for his assistance in the experiment.
The authors are grateful to the National Key R&D Program of China (2017YFD0400404) for its support. This research was also supported by the Natural Science Foundation of Guangdong Province (2017A030310558), the S&T Project of Guangzhou (201804010469), the China Postdoctoral Science Foundation (2017M612672), the Agricultural Development and Rural Work of Guangdong Province (2017LM4173), the S&T Project of Guangdong Province (2017B020207002), the Pearl River S&T Nova Program of Guangzhou (201610010104), the International and Hong Kong – Macau - Taiwan Collaborative Innovation Platform of Guangdong Province on Intelligent Food Quality Control and Process Technology & Equipment (2015KGJHZ001), the Guangdong Provincial R & D Centre for the Modern Agricultural Industry on Non-destructive Detection and Intensive Processing of Agricultural Products, the Common Technical Innovation Team of Guangdong Province on Preservation and Logistics of Agricultural Products (2016LM2154) and the Innovation Centre of Guangdong Province for Modern Agricultural Science and Technology on Intelligent Sensing and Precision Control of Agricultural Product Qualities.
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Conflict of Interest
Yuwei Liu declares that she has no conflict of interest. Da-Wen Sun declares that he has no conflict of interest. Jun-Hu Cheng declares that he has no conflict of interest. Zhong Han declares that he has no conflict of interest.
This article does not contain any studies with human participants performed by any of the authors.
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