In this study,near-infrared spectroscopy was used to develop a rapid and nondestructive analytical method for protein,water,amylopectin,amylose,100-grain weight,grain length,grain width,and color indicators of eight different varieties of adzuki bean.First,the near-infrared spectra of the red bean samples were subjected to standard normal variable(SNV)modification,multivariate scatter correction(MSC),and first-order derivative preprocessing.Then,a quantitative analysis model for various quality indicators of red bean samples was constructed by combining partial least squares(PLS).The results indicated that each PLS model can effectively predict the qual-ity indicators of red beans,achieving the goal of rapid non-destructive testing of red bean quality.In addition,qualitative analysis of eight kinds of red bean samples was carried out by partial least square discriminant analysis(PLS-DA),and the discrimination accuracy of the calibration and prediction sets were 100.00％and 88.89％,respectively.The model could discriminate different varieties of red beans well,crucial for rapid screening of high-quality red beans.In the qualitative discrimination model,two kinds of adzuki beans of the same variety from differ-ent countries of origin were also well discriminated,indicating the feasibility of near-infrared technology in origin discrimination.
near-infrared spectroscopynon-destructive testingred beanssimultaneous detection of multiple indicatorsqualitative discrimination
维普
万方数据
