The Potency of Visible and Near-Infrared Reflectance Spectroscopy to Profiling and Classify the Common Rice Flour

Abstract

Abstract Visible and Near Infrared (Vis-NIR) is a rapid and non-destructive technology has a potential to profiling and classify the four rice flour (brown rice flour, white rice flour, red rice flour, and black rice flour) by means the wavelength 400-1000nm for measurement. Chemometrics analysis (PCA, PCA-DA, and PLS-DA) were used to preprocessing spectra. The wavelengths responsible for profiling and classifying the samples were found 410-450nm, 570-600nm, 660-680 nm, and 970-990nm in the PCA and PCA-DA model. The result showed that using Vis-NIR with the PCA, PCA-DA and PLS-DA model was able to be profiling with a recognition rate 98-100% was achieved.