Detection of Moisture, Soluble Solids, and Sucrose Content and Mechanical Properties of Sugar Beet by Hyperspectral Scattering Imaging

摘要

Sucrose, soluble solids, and moisture content and mechanical properties are important quality/property attributes of sugar beet. In this study, hyperspectral scattering imaging technique was used to measure these attributes of sugar beet. Hyperspectral scattering images for the spectral region of 500-1,000 nm were acquired from 398 beet slices and relative mean reflectance spectra were calculated. The sucrose, soluble solids and moisture content of beet samples were measured using high performance liquid chromatography, refractometry, and vacuum freeze drying, respectively, while the compressive mechanical properties of beet tissue specimens were measured using a Texture Analyzer. Partial least squares (PLS) models were developed and tested for predicting these quality/property parameters of beet samples. The results showed that using relative mean reflectance spectra gave good predictions for the moisture, soluble solids and sucrose content of beet slices with the correlations of 0.75-0.88 and thestandard errors of prediction of 0.95-1.08 based on full-spectrum PLSR models. PLS models based on using wavelengths selection with the uninformative variable elimination method produced similar prediction results. However, both modeling approaches gavepoor predictions for the mechanical properties of beets with the correlation values of 0.46-0.63. This research demonstrated the potential of hyperspectral scattering imaging for measuring quality attributes of sugar beet.