Rapid Determination of β-Glucan Content of Hulled and Naked Oats Using near Infrared Spectroscopy Combined with Chemometrics

Abstract

The quantification of β-glucan in oats is of immense importance for plant breeders and food scientists to develop plant varieties and food products with a high quantity of β-glucan. However, the chemical analysis of β-glucan is time consuming, destructive, and laborious. In this study, near-infrared (NIR) spectroscopy in conjunction with Chemometrics was employed for rapid and non-destructive prediction of β-glucan content in oats. The interval Partial Least Square (iPLS) along with correlation matrix plots were employed to analyze the NIR spectrum from 700–1300 nm, 1300–1900 nm, and 1900–2500 nm for the selection of important wavelengths for the prediction of β-glucan. The NIR spectral data were pre-treated using Savitzky Golay smoothening and normalization before employing partial least square regression (PLSR) analysis. The PLSR models were established based on the selection of wavelengths from PLS loading plots that present a high correlation with β-glucan content. It was observed that wavelength region 700–1300 nm is sufficient for the satisfactory prediction of β-glucan of hulled and naked oats with R2c of 0.789 and 0.677, respectively, and RMSE < 0.229.

Robust Near Infrared Spectroscopy for Rapid and Simultaneous Determination of Fermented Cocoa Pod Husk Feed Quality Attributes

“…Furthermore, several molecular vibration modes are associated with the absorption peak around 2148 to 2200 nm, including the N-H bend second overtone, the C-H stretch and C=O stretch, the N-H in-plane bend, and the C-N stretch. Carbohydrates have also been investigated in the absorption band around 2308 nm, where the absorption peak occurs due to stretching C-H and C-C [20].…”

Unveiling Glucosinolate Diversity in Brassica Germplasm and In Silico Analysis for Determining Optimal Antioxidant Potential

“…Recent studies have emphasized the importance of understanding these patterns for both agricultural and health-related applications. For instance, the varying profile patterns in GSL content can significantly influence the nutritional quality and pest resistance of crops [ 31 ]. Furthermore, the biological effects of GSLs, including their roles as antioxidant, anti-inflammatory, and cancer prevention agents, are highly dependent on their specific content and composition, which exhibit variations among different plant species and even within different parts of the same plant [ 32 ].…”

“…The non-linear patterns in GSL content and biological effects highlight the necessity for advanced analytical techniques and interdisciplinary approaches to fully understand and harness the potential of GSLs. Such studies pave the way for developing targeted strategies for crop improvement and for the formulation of GSL-based health supplements with optimized efficacy [ 31 , 32 ]. Thus, this study aims to analyze GSL profiles and characterize the variations in their content in diverse Brassica germplasms.…”

An Automated Image Processing Module for Quality Evaluation of Milled Rice

“…Therefore, rice is extremely vulnerable to fraud around the world [ 1 ]. There are four different types of rice adulteration observed in the market: (a) substitution with look-alike materials of low cost, (b) substitution with low-quality rice grains, (c) dilution of the original product, and (d) mislabeling of the age and origin of the material [ 6 , 7 ]. This adulteration can incur significant economic loss for food companies and consumers.…”