[Objective] A method for the detection of A2β-casein in milk based on mid-infrared spectroscopy is investigated. [Method] The MIR spectrum of milk samples were measured and preprocessed with multiple scattering correction and standard normalization to improve the signal-to-noise ratio.Then,the characteristic variables were selected by the competitive adaptive reweighting algorithm. The quantitative analysis model based on partial least squares was established. [Result] After pre-processing and variable screening,the training and prediction errors reached 0.061 g/100 g and 0.068 g/100 g,respectively,and the R reached 0.893 and 0.875,respectively. [Conclusion] The mid-infrared spectroscopy method can be used for the rapid detection of A 2β-casein in milk. The spectral pre-processing and characteristic variables extraction methods can significantly improve the modelling accuracy. It also provided a good basis for the spectral detection methods for other ingredients in milk.
YANG Jian, LIU Boyang, WANG DanHui, GAO Yongliang, ZHAO Sanjun, ZHAO Kai, LI Hui, YI Hongbo
. Detection of A2β-casein in Milk Based on Mid-infrared Spectroscopy[J]. China Dairy, 2024
, 0(11)
: 144
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DOI: 10.12377/1671-4393.24.11.23
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