An assessment of Metanil Yellow Adulteration in Pigeon Pea using NIR Spectroscopy

Abstract

In this work, NIR (Near infrared) spectroscopy is used to assess metanil yellow adulteration present in pigeon pea. The NIR data for both raw and adulterated samples was analyzed. Transmission mode NIR spectrometer measurements were performed within the wavelength range of 900–1700 nm. In order to analyze spectral data, chemometrics was applied. A principal component analysis (PCA) was used to analyze and distinguish six different sample. The PCA plot showed that six samples clustered together effectively. NIR data obtained in this study had a very high-class separability index measuring 88.29. Partial least square regression (PLSR) analysis and principal component regression (PCR) were used to predict and correlate metanil yellow levels in this study. An average prediction accuracy of 99.995 and 99.997% were provided by the prediction algorithms, with a correlation factor of 0.85 and 0.92 respectively. The results of the primary evaluation strongly suggest that NIR spectroscopy may be employed to assess traces of meta nil yellow adulteration in pigeon pea samples.