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Near-infrared spectroscopy: Applications in the grain industry

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:   No Citation available.
Authors:   C B Singh, J Paliwal, D S Jayas, N.D.G White
Keywords:   Near-infrared spectroscopy, grain quality, reflectance and transmittance characteristics, multivariate analysis

Grains are among the most important staple foods for the worlds population. There is an increasing demand from consumers for the highest quality of food products and zero-tolerance for grain contamination. Grain quality is affected mainly by moisture content; soundness and vitreousness of the kernels; amount of foreign material; and presence of fungi, insects, and mites. The current visual methods for grain quality estimation are subjective and time consuming. The grain industry is in need of an automated, economical, and rapid means of grain quality estimation. The technique of near-infrared spectroscopy (NIRS) has demonstrated the potential to measure most of the grain quality attributes in real- time and it has been proven to be a fast, reliable, accurate, and economical analytical technique. Though the NIRS technology has been applied for quality analysis of food and bio-material, its real-time applications have been restricted due to complex spectra; highly overlapping, broad, low absorption band and there is a need for detailed calibration. Precise and robust NIRS calibration models can be developed using wavelet transform and artificial neural network (ANN). This paper reviews the applications of NIRS for grain quality evaluation.

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