Yuan-Yuan Pu

TL;DR: Recent advances and applications of Hyperspectral imaging in detecting, classifying, and visualizing quality and safety attributes of fruits and vegetables and the basic principles and major instrumental components are presented.

TL;DR: It is demonstrated that hyperspectral imaging was a useful tool for non-destructively and rapidly measuring and visualizing the moisture content during drying process and showed that the moisturecontent in the central part of the mango slices was lower than that of other parts.

TL;DR: In this paper, three drying approaches (hot-air drying, microwave-vacuum drying (MVD), and the combined method (HAD+MVD)) were applied to dehydrate mango slices.

TL;DR: In this paper, the prediction of moisture content uniformity on mango slices as affected by four different shapes (square, rectangle, regular triangle, and round shape) during microwave-vacuum drying (MVD) was investigated using near-infrared hyperspectral imaging in combination with multivariate chemometric analysis.

TL;DR: This review focuses on the use of NIR technology for real-time monitoring of dairy products, by briefly outlining the measurement principle, NIR instrument configurations, in-line sampling methods, calibration models development, and current state of the art in on-line and in- line NIR applications for continuous process monitoring in the production of dairy Products.