花生蛋白组分及其亚基含量近红外分析检测方法

花生球蛋白、伴花生球蛋白及亚基含量显著影响蛋白质的凝胶性和溶解性等功能特性,进而影响其在肉制品、植物蛋白饮料中的应用效果.目前常采用提取蛋白质后再用电泳及光密度法测定球蛋白、伴球蛋白及亚基含量的方法,操作步骤繁琐,样品损失量大.为此收集了178个花生品种,分别提取蛋白,采用电泳法测定球蛋白、伴球蛋白、23.5和37.5...

Rapid Determination of Protein Components and Their Subunits in Peanut Based on Near Infrared Technology

The contents of arachin,conarachin and subunits significantly affect the gel properties and solubility of peanut proteins,and then affect its application in meat products and beverage.In this study,we collected 178 peanut varieties,measured arachin,conarachin,23.5 and 37.5 kDa subunits contents by chemical methods.On the basis of peanut sample spectrum scan by near-infrared spectrum technology,we used Partial Least Squares Regression(PLSR)stoichiometry to build a mathematical model with the chemical data.By comparing single and composite spectral pretreatments,model correlation coefficient and errors to value the performance of the models.The best pretreatment method for arachin model was determined as 2^nd-der with Detrend,the correlation coefficient of correction(Rc)set was 0.92,and the standard error of calibration(SEC)was 1.41;the best pretreatment method of conarachin model was detrended with 1^st-der,the Rc and SEC were 0.85 and 1.46;the best pretreatment method for the 23.5 kDa subunit model was Normalization with 2^nd-der,the Rc and SEC were 0.91 and 0.53;Detrend with Baseline was the best pretreatment method for the 37.5 kDa model,the Rc and SEC was 0.91 and 0.53.External validation results showed the Square Errors of Prediction(SEP)of arachin and conarachin were 1.25 and 0.73,respectively.The SEP of 23.5 kDa model and 37.5 kDa model were 0.47 and 0.75 separately.In this study,the contents of arachin,conarachin,23.5 and 37.5 kDa subunits in the whole peanut were detected simultaneously,rapidly and non-destructively based on NIRS.It’s important for the breeding specialist to select special varieties and raw materials for the protein processing industry.