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Non-destructive Evaluation of the Quality Characteristics of Pomegranate Kernel Oil by Fourier Transform Near-Infrared and Mid-Infrared Spectroscopy

The pomegranate kernel oil has gained global awareness due to the health benefits associated with its consumption; these benefits have been attributed to its unique fatty acid composition. For quality control of edible fats and oils, various analytical and calorimetric methods are often used, howeve...

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Autores principales: Okere, Emmanuel E., Arendse, Ebrahiema, Nieuwoudt, Helene, Perold, Willem J., Opara, Umezuruike Linus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9301966/
https://www.ncbi.nlm.nih.gov/pubmed/35873956
http://dx.doi.org/10.3389/fpls.2022.867555
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author Okere, Emmanuel E.
Arendse, Ebrahiema
Nieuwoudt, Helene
Perold, Willem J.
Opara, Umezuruike Linus
author_facet Okere, Emmanuel E.
Arendse, Ebrahiema
Nieuwoudt, Helene
Perold, Willem J.
Opara, Umezuruike Linus
author_sort Okere, Emmanuel E.
collection PubMed
description The pomegranate kernel oil has gained global awareness due to the health benefits associated with its consumption; these benefits have been attributed to its unique fatty acid composition. For quality control of edible fats and oils, various analytical and calorimetric methods are often used, however, these methods are expensive, labor-intensive, and often require specialized sample preparation making them impractical on a commercial scale. Therefore, objective, rapid, accurate, and cost-effective methods are required. In this study, Fourier transformed near-infrared (FT-NIR) and mid-infrared (FT-MIR) spectroscopy as a fast non-destructive technique was investigated and compared to qualitatively and quantitatively predict the quality attributes of pomegranate kernel oil (cv. Wonderful, Acco, Herskawitz). For qualitative analysis, principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) was applied. Based on OPLS-DA, FT-MIR spectroscopy resulted in 100% discrimination between oil samples extracted from different cultivars. For quantitative analysis, partial least squares regression was used for model development over the NIR region of 7,498–940 and 6,102–5,774 cm(−1) and provided the best prediction statistics for total carotenoid content (R(2), coefficient of determination; RMSEP, root mean square error of prediction; RPD, residual prediction deviation; R(2) = 0.843, RMSEP = 0.019 g β-carotene/kg, RPD = 2.28). In the MIR region of 3,996–1,118 cm(−1), models developed using FT-MIR spectroscopy gave the best prediction statistics for peroxide value (R(2) = 0.919, RMSEP = 1.05 meq, RPD = 3.54) and refractive index (R(2) = 0.912, RMSEP = 0.0002, RPD = 3.43). These results demonstrate the potential of infrared spectroscopy combined with chemometric analysis for rapid screening of pomegranate oil quality attributes.
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spelling pubmed-93019662022-07-22 Non-destructive Evaluation of the Quality Characteristics of Pomegranate Kernel Oil by Fourier Transform Near-Infrared and Mid-Infrared Spectroscopy Okere, Emmanuel E. Arendse, Ebrahiema Nieuwoudt, Helene Perold, Willem J. Opara, Umezuruike Linus Front Plant Sci Plant Science The pomegranate kernel oil has gained global awareness due to the health benefits associated with its consumption; these benefits have been attributed to its unique fatty acid composition. For quality control of edible fats and oils, various analytical and calorimetric methods are often used, however, these methods are expensive, labor-intensive, and often require specialized sample preparation making them impractical on a commercial scale. Therefore, objective, rapid, accurate, and cost-effective methods are required. In this study, Fourier transformed near-infrared (FT-NIR) and mid-infrared (FT-MIR) spectroscopy as a fast non-destructive technique was investigated and compared to qualitatively and quantitatively predict the quality attributes of pomegranate kernel oil (cv. Wonderful, Acco, Herskawitz). For qualitative analysis, principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) was applied. Based on OPLS-DA, FT-MIR spectroscopy resulted in 100% discrimination between oil samples extracted from different cultivars. For quantitative analysis, partial least squares regression was used for model development over the NIR region of 7,498–940 and 6,102–5,774 cm(−1) and provided the best prediction statistics for total carotenoid content (R(2), coefficient of determination; RMSEP, root mean square error of prediction; RPD, residual prediction deviation; R(2) = 0.843, RMSEP = 0.019 g β-carotene/kg, RPD = 2.28). In the MIR region of 3,996–1,118 cm(−1), models developed using FT-MIR spectroscopy gave the best prediction statistics for peroxide value (R(2) = 0.919, RMSEP = 1.05 meq, RPD = 3.54) and refractive index (R(2) = 0.912, RMSEP = 0.0002, RPD = 3.43). These results demonstrate the potential of infrared spectroscopy combined with chemometric analysis for rapid screening of pomegranate oil quality attributes. Frontiers Media S.A. 2022-07-07 /pmc/articles/PMC9301966/ /pubmed/35873956 http://dx.doi.org/10.3389/fpls.2022.867555 Text en Copyright © 2022 Okere, Arendse, Nieuwoudt, Perold and Opara. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Okere, Emmanuel E.
Arendse, Ebrahiema
Nieuwoudt, Helene
Perold, Willem J.
Opara, Umezuruike Linus
Non-destructive Evaluation of the Quality Characteristics of Pomegranate Kernel Oil by Fourier Transform Near-Infrared and Mid-Infrared Spectroscopy
title Non-destructive Evaluation of the Quality Characteristics of Pomegranate Kernel Oil by Fourier Transform Near-Infrared and Mid-Infrared Spectroscopy
title_full Non-destructive Evaluation of the Quality Characteristics of Pomegranate Kernel Oil by Fourier Transform Near-Infrared and Mid-Infrared Spectroscopy
title_fullStr Non-destructive Evaluation of the Quality Characteristics of Pomegranate Kernel Oil by Fourier Transform Near-Infrared and Mid-Infrared Spectroscopy
title_full_unstemmed Non-destructive Evaluation of the Quality Characteristics of Pomegranate Kernel Oil by Fourier Transform Near-Infrared and Mid-Infrared Spectroscopy
title_short Non-destructive Evaluation of the Quality Characteristics of Pomegranate Kernel Oil by Fourier Transform Near-Infrared and Mid-Infrared Spectroscopy
title_sort non-destructive evaluation of the quality characteristics of pomegranate kernel oil by fourier transform near-infrared and mid-infrared spectroscopy
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9301966/
https://www.ncbi.nlm.nih.gov/pubmed/35873956
http://dx.doi.org/10.3389/fpls.2022.867555
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