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Evaluation of Portable NIR Assay for Detection of Milk Adulteration with Water

Mohammed Abdallah Musa

A new procedure has been developed for rapid classification and quantification of the adulteration of fresh milk. In this study fresh cow milk samples were collected from three farms surrounding Beijing district and five farms in Hebei province in China were investigated. Those fresh cow milk samples were then adulterated with tap water at ten different percentage levels. Then all samples were scanned using NIR spectroscopy (JDSU, California, USA). The MicroNIR 1700 spectrometer analyses the wavelength region is 870 nm-1660 nm. The chemometric tools like Soft Independent Modeling of Class Analogy (SIMCA) and Partial Least Squares Regression (PLS) was applied for statistical analysis of the obtained NIR spectral data. To check the discrimination between the pure (control) and adulterated milk samples, (SIMCA) model was used. Furthermore, PLS regression model was also built to quantify the levels adulterant in cow milk samples. The PLS regression model was obtained standard error of prediction (SEP) 5.33 g/L for estimation of levels of adulteration with water. This recently developed method is non-destructive, lowcost, no need of much sample preparation and having sensitivity level less than 1% level of adulteration. This recently developed method is fast and simple, being suitable for the control of raw milk in a dairy industry or for the quality inspection of commercialized milk.