A kind of peanut quality determination and evaluation method suitable for gel protein processing
A technology of peanut quality and protein, applied in the direction of testing food, measuring devices, material inspection products, etc., to achieve the effect of reducing analysis steps, saving costs, and saving testing costs
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Embodiment 1
[0025] Example 1. Establishment of a peanut quality measurement model suitable for gel-type protein processing
[0026] (1) Determination of peanut quality
[0027] Get the peanut sample harvested in 2011 as a standard, 61 samples (conforming to the normal distribution law of the peanut population, as shown in Table 1);
[0028] Table 1 61 peanut varieties
[0029]
[0030]
[0031] A total of 45 indicators were measured for the sensory quality, physical and chemical and nutritional quality and processing quality indicators of each variety; among them, each indicator and its measurement methods and standards are as follows:
[0032] Peanut physical characteristics: fruit shape: when the fruit shape of the peanut sample is hockey stick shape, the fruit shape score is 1; when the peanut sample fruit shape is hump shape, the fruit shape score is 2; when the peanut sample fruit shape is beaded When the fruit shape of the peanut sample is normal, the fruit shape score is 4;...
Embodiment 2
[0088] Embodiment 2, the mensuration of peanut sample gel property
[0089] The remaining 20 peanut varieties in Example 1 were subjected to protein gelation determination.
[0090] The fruit shape score, protein content, crude fiber content, glycine content, cystine content, arginine content, leucine content, conanut globulin I content, arachidulin / conanut globulin content of the 20 peanut varieties Protein and molecular weight are the subunit of 23.5kDa accounting for 10 indexes such as the mass percentage content of protein into formula (1), calculate the gelation property of 20 varieties, obtain the gelation property of 20 peanut samples, the peanut gelation property The comparison between the model predicted value and the chemical measured value is shown in Table 11; and the regression analysis was performed on the model calculation result and the measured gel property, and the correlation coefficient between the two was 0.937.
[0091] Table 11 Comparison of Model Predi...
Embodiment 3
[0096] Example 3. Establishment of a peanut quality evaluation method suitable for gel-type protein processing
[0097] Using the method of K-means clustering analysis, the comprehensive value of gelatinity of peanut protein is classified into three categories, and the cluster center of each category is determined, and the gelatinity is divided into three grades, then the measured The 61 peanut varieties obtained were classified, as shown in Table 13.
[0098] Table 1361 Classification of Peanut Varieties
[0099]
[0100]
[0101] According to the regression coefficient of each index in the formula (1), the weight of each index is determined, and the K-means cluster analysis and the actual situation are used to divide each evaluation index into grade I, grade II and grade III, and the weight value of each index is taken as the score of grade I ,And so on.
[0102] Table 14 The weight of each indicator in formula (1)
[0103]
[0104]The 10 quality indicators of pe...
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