Establishment of near infrared model for the content of polysaccharide and reducing sugar in fermented corncob
In order to provide theoretical basis for quantitative determination of polysaccharide and reducing sugar content in fermented corn cob and technical support for deep processing and utilization of corn cob,near infrared spectroscopy combined with stoichiometry was used to rapidly predict the content of polysaccharide and reducing sugar in fermented corn cob.The contents of polysaccharide and reducing sugar were determined by phenol-sulfuric acid method and DNS method.Partial least squares(PLS)method was used to establish the near infrared analysis model of the contents of polysaccharide and reducing sugar in fermented corn cob by different pretreatment methods and different wavelength.The results showed that:the polysaccharide model was pretreated by SNV+1 derivative method.The coefficient of determination(R2),root mean square error(RMSEC)and standard deviation(SEC)of the optimized model were 0.82,9.28 and 9.34,respectively,and the relative analysis error(PRD)was 2.37.The first-order+SNV+Detrend method was used to pretreat the full spectrum of the reducing sugar model.The coefficient of determination(R2),corrected root mean square error(RMSEC)and calibrated standard deviation(SEC)of the optimized model were 0.84,4.03 and 4.04,respectively.The relative analysis error(PRD)was 2.48.The determination coefficients of prediction set were 0.85 and 0.88,respectively.The determination coefficients of the NIRS model established in this study were both large,and the relative analysis errors were both greater than 2,indicating that the model had good prediction performance,and the established model was helpful to the screening of active components of polysaccharide and reducing sugar content in fermented corn cob.
corn cobpolysaccharidereducing sugarnear infrared modelpartial least squares method
万方数据
维普
