Rapid identification method for pasteurized buffalo fresh milk and dairy cow fresh milk

Abstract

The invention belongs to the field of dairy product analysis, and particularly relates to a rapid identification method for pasteurized buffalo fresh milk and dairy cow fresh milk. The method comprises the steps of 1) collecting buffalo fresh milk and dairy cow fresh milk; 2) scanning the samples in a mid-infrared spectrum range to obtain mid-infrared spectrum data; 3) preprocessing the original mid-infrared spectrum to remove abnormal values; 4) dividing the preprocessed data set into a training set and a test set; 5) screening spectral bands for modeling; 6) combining different spectrum preprocessing and modeling algorithms, establishing an identification model, evaluating the model by using accuracy, specificity, sensitivity and AUC, and screening out a preprocessing method and modeling algorithm combination with an optimal effect; and 7) verifying the model, and evaluating the generalization ability of the model. Due to the adoption of a simple spectrum screening method, a smaller number of wave points are used for modeling, the operation cost is reduced, the optimal model is obtained through 10 identification models, and the rate and accuracy of identifying the pasteurized buffalo fresh milk and the dairy cow fresh milk are improved.

Description

technical field [0001] The invention belongs to the technical field of milk product analysis, and in particular relates to a rapid identification method for pasteurized buffalo fresh milk and cow fresh milk. Background technique [0002] Dal et al. (2018) prepared buffalo mozzarella cheese mixed with different concentrations of milk in the laboratory, and used liquid chromatography-tandem mass spectrometry to analyze the species-specific low-molecular-weight biomarkers in the quantitative milk, so as to realize the detection of adulteration. The identification of buffalo mozzarella cheese, the quantitative combination of β-carotene and ergocalciferol makes the sensitivity threshold of detection milk is 5%, this method needs centrifugation, water bath culture, extraction of analytes and other operations [3] . Francesca et al. (2019) used capillary electrophoresis to detect cow milk in buffalo milk with bovine α-lactalbumin as an adulteration marker. The minimum amount of adu...

AI Technical Summary

Problems solved by technology

The data output by the mid-infrared spectrometer is a matrix of n×1060 (n is the sample size), the data is huge, and it is difficult to avoid data incompleteness, inconsistency, and is easily disturbed by noise (errors or outliers). Low-quality data will lead to Poor data mining results, so some method is needed to preprocess the output data

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