In this study, a 900-1700nm hyperspectral camera was applied, and FS-15, the product of Hangzhou Color Spectrum Technology Co., LTD., could be used for related research. Short-wave near-infrared hyperspectral camera, the acquisition speed of the full spectrum up to 200FPS, is widely used in the composition identification, substance identification, machine vision, agricultural product quality, screen detection and other fields.
Anthocyanins are an important class of phenolic compounds in grape and wine, which mainly exist in the vacuoles of the cells in the 3-4 layers under the epidermis of grape berries. It is an important factor in determining the sensory quality of wine, and it is also the basis for the storage of red wine. The traditional chemical detection method will destroy the detection object, and it is difficult to achieve fast and large sample size detection. However, there are few studies on rapid detection of anthocyanins in wine grape fruits at home and abroad. In recent years, hyperspectral imaging technology as a non-destructive testing method has attracted wide attention, compared with the traditional near infrared spectroscopy technology, hyperspectral imaging technology shows its unique advantages. When using NIR spectroscopy, only one or several points of spectral information can be obtained each time, and there will be greater randomness and one-sidedness in the selection of the position and number of points. Hyperspectral image technology can obtain the image of the analyte, which not only provides more abundant information, but also provides a more reasonable and effective analysis method in spectral data processing. In the process of modeling using hyperspectral imaging technology combined with partial least squares method, with the deepening of the research on PLS method, it is found that better quantitative correction models may be obtained by screening characteristic wavelengths or wavelength intervals by specific methods.