Analysis of Milk Adulteration Using MID-IR Spectroscopy

Abstract

A straightforward and quick technique for discovery and measurement of milk corruption has been created utilizing mid-infrared (MIR) spectrometers. Milk samples was purchased from local supermarkets and spiked with tap water, hydrogen peroxide, glucose, urea and formaldehyde in different concentrations in milk. Spectral data was collected using mid-infrared (MIR) spectrometers. Partial least-square regression (PLSR) has been used to estimate adulteration level and results showed high coefficients of determination (R2) and standard error of predication (SEP). The use of Fourier transform infrared (FTIR) spectroscopy coupled with chemo metric techniques to differentiate of milk adulteration. These results proved that FTIR spectroscopy in combination with multivariate calibration can be used for the detection of milk adulteration. The proposed technique is quick, non-dangerous, straightforward and simple to utilize.