近红外光谱法检测奶粉掺假

Detection of adulteration of milk powder by near infrared spectroscopy

目的建立近红外光谱法结合Adulterant Screen算法快速鉴别奶粉中大豆蛋白和尿素掺假的方法。方法采用近红外光谱仪获得奶粉未知样的光谱曲线,再用Adulterant Screen算法以及全数据库奶粉分类模型和既定类型的掺假物模型对曲线主要成分和掺假成分进行分析。结果该方法对一定浓度大豆蛋白和尿素掺假奶粉样可以实现掺假鉴别,大豆蛋白和尿素掺假奶粉样的掺假判别限分别为0.3 g/100g和0.2 g/100g,掺假物正确识别限分别为0.5 g/100g和0.8 g/100g。结论利用近红外光谱法结合Adulterant Screen算法可以快速鉴别奶粉中大豆蛋白和尿素的掺假。

Objective To establish a method for detection of the soybean protein and urea adulterated in milk powder rapidly by near infrared spectroscopy（NIRS） combined with Adulterant Screen algorithm. Methods The spectroscopic curves of unknown milk powder samples were obtained by means of NIRS, and then the main ingredients and the adulterated ingredients from the acquired spectroscopic curves were analyzed based on the Adulterant Screen algorithm, the full database milk powder model and the established adulterated ingredients model. Results The method was able to identify the soybean protein and urea adulterated milk powder with a certain concentration. The adulteration detection limits of this method were 0.3 g/100 g and 0.2 g/100 g, and the adulterated ingredient correct recognization limits were 0.5 g/100 g and 0.8 g/100 g for soybean protein and urea, respectively. Conclusion The method can rapidly recognize the adulteration of the soybean protein and urea in milk powder by NIRS combined with Adulterant Screen algorithm.