Keywords

Adulterated Milk Near Infrared Spectroscopy Hydrolyzed Vegetable Protein (Hvp) Quantitative Analysis Transmission Diffuse Reflection

Abstract

Plant hydrolyzed protein is a typical nitrogen-containing adulteration substance of protein. It is added to milk as a cheap protein by unscrupulous traders to increase its protein content. In this study, we prepared adulterated milk with plant hydrolyzed protein at different concentrations. We used the diffuse reflectance module of the near-infrared spectrum analyzer to directly scan the adulterated samples, and used the transmission analysis module to scan the adulterated samples pre-treated with trichloroacetic acid. We used TQ software to build Model and compare the differences between the two methods. The results show that: using first-order derivative & Norris Derivative filter preprocessing, at 8000~5000 cm-1, principal component number 10, using PCR to construct the optimal plant hydrolyzed protein diffuse reflectance quantitative analysis model, RMSEC, RMSEP and R are 0.224 respectively. , 0.214 and 0.98414, with an average recovery rate of 93.2479%. Using first-order derivative & Norris Derivative filter preprocessing, at 10000~7000 cm-1, principal component number 10, the optimal plant hydrolyzed protein transmission quantitative analysis model was constructed using PCR. RMSEC, RMSEP and R were 0.175, 0.138 and 0.99036 respectively. , the average recovery rate is 98.7351%. The transmission model treated with trichloroacetic acid is more accurate and stable, can be used for the detection of plant hydrolyzed proteins in milk, and can provide a reference for milk quality control and rapid quantification. Hydrolyzed Vegetable Protein (HVP) was a typical adulterated compound that was used as an inexpensive protein by criminals to increase the nitrogen content in milk. Different concentrations of HVP adulterated samples were prepared in this study and were scanned directly with the near-infrared spectrometer ( NIRs). Samples pretreated with trichloroacetic acid were analyzed by Transmission Analyzer, and the quantitative analysis models were established by TQ software to compare the difference between the two methods. Results showed that, the optimized quantitative analysis model by Fiber Optic Module was established with 10 principle components factors through preprocessing method of first derivative & Norris derivative filter in the spectral region of 8000~5000 cm-1. The root mean square error of cross (RMSEC), root mean square error of prediction (RMSEP) and correlation coefficient (R ) of the model were 0.224, 0.214 and 0.98414 respectively with a recovery of 93.2479%., The optimized quantitative analysis model by transmission analyzer was established with 10 principle components factors through preprocessing method of first derivative & Norris Derivative Filter in the spectral region of 10000 ~7000 cm-1. RMSEC, RMSEP and R of the model were 0.175, 0.138 and 0.99036 respectively with a recovery of 98.7351%. The quantitative analysis model pretreated with tricholoroacetic acid was accurate and stable, which could be used in rapid quantitative analysis of HVP in milk and provide reference for milk quality control.

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Original research done by Fan Rui

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