Quantitative assessment of phytochemicals in chickpea beverages using NIR spectroscopy
Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
Abstract
The prospects of near-infrared (NIR) spectroscopy combined with effective variable selection algorithms for
quantifying phytochemical compounds in chickpea beverages were investigated in this study. As reference
measurement analysis, the phytochemicals were extracted and identified via high-performance liquid chroma tography. Multivariate algorithms were then applied, analyzed, and evaluated using correlation coefficients of
validation set (Rp), root mean square error of prediction (RMSEP), and residual predictive deviations (RPDs).
Accordingly, the competitive adaptive reweighted sampling-partial least squares (CARS-PLS) model achieved
superior performance for biochanin A (Rp = 0.933, RPD = 3.63), chlorogenic acid (Rp = 0.928, RPD = 3.52), p coumaric acid (Rp = 0.900, RPD = 2.37), and stigmasterol (Rp = 0.932, RPD = 3.15), respectively. Hence, this
study demonstrated that NIR spectroscopy paired with CARS-PLS could be used for nondestructive quantitative
prediction of phytochemicals in chickpea beverages during manufacture and storage.
Description
Research Article
Keywords
Chickpea beverages, Near-infrared spectroscopy, Phytochemicals