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利用Videometer多光谱成像技术预测热风干燥时的蘑菇水份状态
发表时间:2020-05-08 13:40:07点击:1246
较近,相关科研人员利用Videometer多光谱成像发表了题为Multispectral imaging for predicting the water status in mushroom during hot-air dehydration的文章。
北京欧亚国际科技有限公司是丹麦Videometer公司中国区总代理,全面负责其系列产品在中国市场的推广、销售和售后服务。
Multispectral imaging for predicting the water status in mushroom during hot-air dehydration
In-depth understanding of the shifting of water status during dehydration is crucial for obtaining better quality of dried food. In this work, we report a nondestructive method to measure the water status in hot-air dried mushroom via multispectral imaging (MSI) technology combined with chemometric methods. The low-field nuclear magnetic resonance (LF-NMR) measurements were performed as reference. During drying process, the moisture content changed dramatically with notable migration and conversion of different water phases. Partial least squares (PLS), back propagation neural network (BPNN), and least squares-support vector machine (LS-SVM) models were applied to develop quantitative models. Among all, BPNN model showed considerably better performance of prediction with coefficient of determination R2 c = 0.9829, R2 p = 0.9639. The results demonstrated that MSI technology combined with chemometric methods is an impressive approach for determination of the water status in hot-air dried mushrooms, which would facilitate infield of food processing by providing applicable and appropriate platform.
Keywords: hot-air drying, multispectral imaging, mushroom, nondestructive technique, water status