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Article

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

1
Food Science and Technology Program, BNU-HKBU United International College, Zhuhai 519087, China
2
School of Chemical Engineering and Physical Sciences, Lovely Professional University, Jalandhar 144411, India
3
Zhangjiakou Academy of Agricultural Sciences, Zhangjiakou 075000, China
4
Statistical Program, BNU-HKBU United International College, Zhuhai 519087, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editor: Stefania Cesa
Foods 2022, 11(1), 43; https://doi.org/10.3390/foods11010043
Received: 20 November 2021 / Revised: 15 December 2021 / Accepted: 21 December 2021 / Published: 24 December 2021
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. View Full-Text
Keywords: NIR spectroscopy; β-glucan; oats; prediction; partial least square regression NIR spectroscopy; β-glucan; oats; prediction; partial least square regression
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MDPI and ACS Style

Meenu, M.; Zhang, Y.; Kamboj, U.; Zhao, S.; Cao, L.; He, P.; Xu, B. Rapid Determination of β-Glucan Content of Hulled and Naked Oats Using near Infrared Spectroscopy Combined with Chemometrics. Foods 2022, 11, 43. https://doi.org/10.3390/foods11010043

AMA Style

Meenu M, Zhang Y, Kamboj U, Zhao S, Cao L, He P, Xu B. Rapid Determination of β-Glucan Content of Hulled and Naked Oats Using near Infrared Spectroscopy Combined with Chemometrics. Foods. 2022; 11(1):43. https://doi.org/10.3390/foods11010043

Chicago/Turabian Style

Meenu, Maninder, Yaqian Zhang, Uma Kamboj, Shifeng Zhao, Lixia Cao, Ping He, and Baojun Xu. 2022. "Rapid Determination of β-Glucan Content of Hulled and Naked Oats Using near Infrared Spectroscopy Combined with Chemometrics" Foods 11, no. 1: 43. https://doi.org/10.3390/foods11010043

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