TITLE:
Analysis of Peanut Seed Oil by NIR
AUTHORS:
Babankumar Bansod, Ritula Thakur, Ronald Holser
KEYWORDS:
Chemometrics, Infrared Spectroscopy, Oilseed, Oleic Acid, Quality Control
JOURNAL NAME:
American Journal of Analytical Chemistry,
Vol.6 No.12,
November
9,
2015
ABSTRACT: Near infrared
reflectance spectra (NIRS) was collected from Arachis hypogaea seed samples and used in predictive models to
rapidly identify varieties with high oleic acid. The method was developed for
shelled peanut seeds with intact testa. Spectra was evaluated initially by
principal component analysis (PCA) followed by partial least squares (PLS). PCA
performed with full spectra and reduced spectra with one principal component
accounted for 97% to 99% variability, respectively. The PLS model generated
from first derivative spectra provided a standard error of prediction (SEP) of
7.7204808. This technique provides a non-destructive method to rapidly identify
high oleic peanut seeds to support the selection and cultivation of high oleic
acid peanut varieties. The method can also be useful at peanut processing
facilities for screening and quality assessments.