Rapid Determination of <i>β</i>-Glucan Content of Hulled and Naked Oats Using near Infrared Spectroscopy Combined with Chemometrics
The quantification of <i>β</i>-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 <i>β</i>-glucan. However, the chemical analysis of <i>β</i>-glucan is time consuming,...
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MDPI AG
2021-12-01
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| Series: | Foods |
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| Online Access: | https://www.mdpi.com/2304-8158/11/1/43 |
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| author | Maninder Meenu Yaqian Zhang Uma Kamboj Shifeng Zhao Lixia Cao Ping He Baojun Xu |
| author_facet | Maninder Meenu Yaqian Zhang Uma Kamboj Shifeng Zhao Lixia Cao Ping He Baojun Xu |
| author_sort | Maninder Meenu |
| collection | DOAJ |
| description | The quantification of <i>β</i>-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 <i>β</i>-glucan. However, the chemical analysis of <i>β</i>-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 <i>β</i>-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 <i>β</i>-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 <i>β</i>-glucan content. It was observed that wavelength region 700–1300 nm is sufficient for the satisfactory prediction of <i>β</i>-glucan of hulled and naked oats with R<sup>2</sup>c of 0.789 and 0.677, respectively, and RMSE < 0.229. |
| first_indexed | 2024-03-10T03:41:38Z |
| format | Article |
| id | doaj.art-9022c20e6cb24a7094df465334fcff8d |
| institution | Directory Open Access Journal |
| issn | 2304-8158 |
| language | English |
| last_indexed | 2024-03-10T03:41:38Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Foods |
| spelling | doaj.art-9022c20e6cb24a7094df465334fcff8d2023-11-23T11:30:40ZengMDPI AGFoods2304-81582021-12-011114310.3390/foods11010043Rapid Determination of <i>β</i>-Glucan Content of Hulled and Naked Oats Using near Infrared Spectroscopy Combined with ChemometricsManinder Meenu0Yaqian Zhang1Uma Kamboj2Shifeng Zhao3Lixia Cao4Ping He5Baojun Xu6Food Science and Technology Program, BNU-HKBU United International College, Zhuhai 519087, ChinaFood Science and Technology Program, BNU-HKBU United International College, Zhuhai 519087, ChinaSchool of Chemical Engineering and Physical Sciences, Lovely Professional University, Jalandhar 144411, IndiaZhangjiakou Academy of Agricultural Sciences, Zhangjiakou 075000, ChinaZhangjiakou Academy of Agricultural Sciences, Zhangjiakou 075000, ChinaStatistical Program, BNU-HKBU United International College, Zhuhai 519087, ChinaFood Science and Technology Program, BNU-HKBU United International College, Zhuhai 519087, ChinaThe quantification of <i>β</i>-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 <i>β</i>-glucan. However, the chemical analysis of <i>β</i>-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 <i>β</i>-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 <i>β</i>-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 <i>β</i>-glucan content. It was observed that wavelength region 700–1300 nm is sufficient for the satisfactory prediction of <i>β</i>-glucan of hulled and naked oats with R<sup>2</sup>c of 0.789 and 0.677, respectively, and RMSE < 0.229.https://www.mdpi.com/2304-8158/11/1/43NIR spectroscopy<i>β</i>-glucanoatspredictionpartial least square regression |
| spellingShingle | Maninder Meenu Yaqian Zhang Uma Kamboj Shifeng Zhao Lixia Cao Ping He Baojun Xu Rapid Determination of <i>β</i>-Glucan Content of Hulled and Naked Oats Using near Infrared Spectroscopy Combined with Chemometrics Foods NIR spectroscopy <i>β</i>-glucan oats prediction partial least square regression |
| title | Rapid Determination of <i>β</i>-Glucan Content of Hulled and Naked Oats Using near Infrared Spectroscopy Combined with Chemometrics |
| title_full | Rapid Determination of <i>β</i>-Glucan Content of Hulled and Naked Oats Using near Infrared Spectroscopy Combined with Chemometrics |
| title_fullStr | Rapid Determination of <i>β</i>-Glucan Content of Hulled and Naked Oats Using near Infrared Spectroscopy Combined with Chemometrics |
| title_full_unstemmed | Rapid Determination of <i>β</i>-Glucan Content of Hulled and Naked Oats Using near Infrared Spectroscopy Combined with Chemometrics |
| title_short | Rapid Determination of <i>β</i>-Glucan Content of Hulled and Naked Oats Using near Infrared Spectroscopy Combined with Chemometrics |
| title_sort | rapid determination of i β i glucan content of hulled and naked oats using near infrared spectroscopy combined with chemometrics |
| topic | NIR spectroscopy <i>β</i>-glucan oats prediction partial least square regression |
| url | https://www.mdpi.com/2304-8158/11/1/43 |
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