Quality determination of peanuts suitable for peanut oil processing, and evaluation method thereof
A technology of peanut quality and determination method, applied in the direction of testing food, material inspection products, etc., to achieve the effect of reducing analysis steps
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Embodiment 1
[0021] Embodiment 1, the establishment of the peanut quality measurement model suitable for peanut oil processing
[0022] (1) Determination of peanut quality
[0023] The peanut samples harvested in 2011 were taken as standard products, 45 samples (in line with the normal distribution law of the peanut population, as shown in Table 1);
[0024] Table 1 45 varieties of peanuts
[0025]
[0026] A total of 35 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:
[0027] 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 sc...
Embodiment 2
[0068] Embodiment 2, the mensuration of peanut sample peanut oil quality
[0069] The remaining 11 peanut varieties in Example 1 were subjected to the determination of peanut quality.
[0070] The crude fat content, oleic acid content / linoleic acid content, and unsaturated fatty acid content of the 11 peanut varieties were substituted into the formula (1), and the peanut oil quality of the 11 varieties was calculated, and the peanut oil quality of the 11 peanut samples was obtained. Comprehensive value (representing the oxidative stability of peanut), the comparison of the model prediction value and chemical measured value of this peanut oil comprehensive value is shown in table 8; The coefficient is 0.70 ( figure 1 shown).
[0071] Table 8 Comparison of model predicted values and chemical measured values of peanut oil in 11 peanut samples
[0072]
Embodiment 3
[0073] Example 3, Establishment of a Peanut Quality Evaluation Method Suitable for Oil Processing
[0074] Using the method of K-means clustering analysis, the comprehensive value of peanut oil is classified into three categories initially, the cluster center of each category is determined, and the comprehensive value of peanut oil is divided into three grades, then the measured 45 peanut oil The varieties are classified as shown in Table 9.
[0075] Table 9 Classification of 45 peanut varieties
[0076]
[0077]
[0078] 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.
[0079] Table 10 Weight of each indicator in formula (1)
[0080] serial number index coefficient Weights ...
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