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Geographical discrimination of palm oils (Elaeis guineensis) using quality characteristics and UV‐visible spectroscopy

This preliminary study demonstrated the possibility of discriminating geographical origin of palm oils using conventional quality characteristics and UV‐visible spectroscopy. A total of 60 samples, 20 from each region (North (N), South (S), and Central (C)) of Ondo State Nigeria, were analyzed for t...

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Detalles Bibliográficos
Autores principales: Jolayemi, Olusola S., Ajatta, Mary A., Adegeye, Abimbola A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021710/
https://www.ncbi.nlm.nih.gov/pubmed/29983939
http://dx.doi.org/10.1002/fsn3.614
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author Jolayemi, Olusola S.
Ajatta, Mary A.
Adegeye, Abimbola A.
author_facet Jolayemi, Olusola S.
Ajatta, Mary A.
Adegeye, Abimbola A.
author_sort Jolayemi, Olusola S.
collection PubMed
description This preliminary study demonstrated the possibility of discriminating geographical origin of palm oils using conventional quality characteristics and UV‐visible spectroscopy. A total of 60 samples, 20 from each region (North (N), South (S), and Central (C)) of Ondo State Nigeria, were analyzed for their quality characteristics and UV‐visible spectra. Principal component analysis (PCA) and orthogonal projection to latent structure discriminant analysis (OPLS‐DA) were applied to elaborate the data. Models were built on the most informative portion of the spectra (250–550 nm) as: untreated (without pretreatment) and standard normal variate—second‐derivative‐treated (SNV+2der) data matrices. OPLS‐DA classification models were validated by independent prediction sets and cross‐validation. PCA score plots of both chemical and spectral data matrices revealed geographical distinction between the palm oil samples. Significantly high carotene content, free fatty acids, acid value, and peroxide value distinguished Central palm oils. K extinction values, color density, and chlorophyll content were the most important quality parameters separating North oil samples. In the discriminant models, over 95% and 85% percent correct classification were recorded for spectral and chemical data, respectively. These results cannot be considered exhaustive because of the limited sample size used. However, the study suggested a potential analytical technique suitable for geographical origin authentication of palm oils with additional advantages that include the following: speed, low cost, and minimal waste.
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spelling pubmed-60217102018-07-06 Geographical discrimination of palm oils (Elaeis guineensis) using quality characteristics and UV‐visible spectroscopy Jolayemi, Olusola S. Ajatta, Mary A. Adegeye, Abimbola A. Food Sci Nutr Original Research This preliminary study demonstrated the possibility of discriminating geographical origin of palm oils using conventional quality characteristics and UV‐visible spectroscopy. A total of 60 samples, 20 from each region (North (N), South (S), and Central (C)) of Ondo State Nigeria, were analyzed for their quality characteristics and UV‐visible spectra. Principal component analysis (PCA) and orthogonal projection to latent structure discriminant analysis (OPLS‐DA) were applied to elaborate the data. Models were built on the most informative portion of the spectra (250–550 nm) as: untreated (without pretreatment) and standard normal variate—second‐derivative‐treated (SNV+2der) data matrices. OPLS‐DA classification models were validated by independent prediction sets and cross‐validation. PCA score plots of both chemical and spectral data matrices revealed geographical distinction between the palm oil samples. Significantly high carotene content, free fatty acids, acid value, and peroxide value distinguished Central palm oils. K extinction values, color density, and chlorophyll content were the most important quality parameters separating North oil samples. In the discriminant models, over 95% and 85% percent correct classification were recorded for spectral and chemical data, respectively. These results cannot be considered exhaustive because of the limited sample size used. However, the study suggested a potential analytical technique suitable for geographical origin authentication of palm oils with additional advantages that include the following: speed, low cost, and minimal waste. John Wiley and Sons Inc. 2018-03-09 /pmc/articles/PMC6021710/ /pubmed/29983939 http://dx.doi.org/10.1002/fsn3.614 Text en © 2018 The Authors. Food Science & Nutrition published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Jolayemi, Olusola S.
Ajatta, Mary A.
Adegeye, Abimbola A.
Geographical discrimination of palm oils (Elaeis guineensis) using quality characteristics and UV‐visible spectroscopy
title Geographical discrimination of palm oils (Elaeis guineensis) using quality characteristics and UV‐visible spectroscopy
title_full Geographical discrimination of palm oils (Elaeis guineensis) using quality characteristics and UV‐visible spectroscopy
title_fullStr Geographical discrimination of palm oils (Elaeis guineensis) using quality characteristics and UV‐visible spectroscopy
title_full_unstemmed Geographical discrimination of palm oils (Elaeis guineensis) using quality characteristics and UV‐visible spectroscopy
title_short Geographical discrimination of palm oils (Elaeis guineensis) using quality characteristics and UV‐visible spectroscopy
title_sort geographical discrimination of palm oils (elaeis guineensis) using quality characteristics and uv‐visible spectroscopy
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021710/
https://www.ncbi.nlm.nih.gov/pubmed/29983939
http://dx.doi.org/10.1002/fsn3.614
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