The invention relates to a prediction model of
whey protein content and a prediction method thereof. The prediction model comprises a beta-lactoglobulin content prediction model and an alpha-
lactalbumin content prediction model. The beta-lactoglobulin content prediction model is as follows: y1 = b1-k1 * W1; the alpha-
lactalbumin content prediction model is as follows: y2 = b2-k2 * W2; wherein y1 represents the content of beta-lactoglobulin with the unit of mg /
g protein, and y2 represents the content of alpha-
lactalbumin with the unit of mg /
g protein; w1 and W2 represent whiteness values detected by a spectrophotometer; b1 is a constant with the value
ranging from 600 to 1400, and k1 is a constant with the value
ranging from 8 to 14; b1 is a constant with a value of 200-350, b2 is a constant with a value of 200-350, and k2 is a constant with a value of 2.5-4. The prediction model provided by the invention not only reduces the cost of
whey protein content detection, simplifies the detection process, avoids the use of toxic reagents, but also can ensure higher prediction accuracy, and can be widely applied to quality identification and application characteristic discrimination of milk and dairy products.