A method for detecting the protein content in soy milk powder

Abstract

The present application relates to the technical field of food detection, in particular to a method for detecting the protein content in soy milk powder, comprising: obtaining the original near-infrared spectrum data of the soy milk powder sample to be detected and constructing a protein characteristic vector; calling a preset protein optical constant database storing the light absorption coefficient and refractive index under different protein concentrations, matching and then backstepping the average light path and extinction coefficient of the protein molecules to obtain light path extinction data; based on the data, establishing an absorption kinetics model to simulate the propagation process of light in the suspension and obtain the light intensity decay state, and after time integration, obtaining the cumulative absorbance proportional to the number of protein molecules; combining the dry weight of the sample to calculate the protein content per unit mass, and after environmental temperature compensation to correct the spectral drift, outputting the standardized detection result. The method can improve the accuracy and stability of the detection of the protein content in soy milk powder.

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