Quantitative analysis of γ–oryzanol content in cold pressed rice bran oil by TLC–image analysis method

Objective: To develop and validate an image analysis method for quantitative analysis of γ-oryzanol in cold pressed rice bran oil. Methods: TLC-densitometric and TLC-image analysis methods were developed, validated, and used for quantitative analysis of γ-oryzanol in cold pressed rice bran oil. The...

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Published in:Asian Pacific Journal of Tropical Biomedicine
Main Authors: Apirak Sakunpak, Jirapornchai Suksaeree, Chaowalit Monton, Pathamaporn Pathompak, Krisana Kraisintu
Format: Article in Journal/Newspaper
Language:English
Published: Wolters Kluwer Medknow Publications 2014
Subjects:
Online Access:https://doi.org/10.1016/S2221-1691(14)60219-7
https://doaj.org/article/b43bcf5c838a4b58aeb70fb8c4182bc4
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author Apirak Sakunpak
Jirapornchai Suksaeree
Chaowalit Monton
Pathamaporn Pathompak
Krisana Kraisintu
author_facet Apirak Sakunpak
Jirapornchai Suksaeree
Chaowalit Monton
Pathamaporn Pathompak
Krisana Kraisintu
author_sort Apirak Sakunpak
collection Directory of Open Access Journals: DOAJ Articles
container_issue 2
container_start_page 119
container_title Asian Pacific Journal of Tropical Biomedicine
container_volume 4
description Objective: To develop and validate an image analysis method for quantitative analysis of γ-oryzanol in cold pressed rice bran oil. Methods: TLC-densitometric and TLC-image analysis methods were developed, validated, and used for quantitative analysis of γ-oryzanol in cold pressed rice bran oil. The results obtained by these two different quantification methods were compared by paired t-test. Results: Both assays provided good linearity, accuracy, reproducibility and selectivity for determination of γ-oryzanol. Conclusions: The TLC-densitometric and TLC-image analysis methods provided a similar reproducibility, accuracy and selectivity for the quantitative determination of γ-oryzanol in cold pressed rice bran oil. A statistical comparison of the quantitative determinations of γ-oryzanol in samples did not show any statistically significant difference between TLC-densitometric and TLC-image analysis methods. As both methods were found to be equal, they therefore can be used for the determination of γ-oryzanol in cold pressed rice bran oil.
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op_source Asian Pacific Journal of Tropical Biomedicine, Vol 4, Iss 2, Pp 119-123 (2014)
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spelling ftdoajarticles:oai:doaj.org/article:b43bcf5c838a4b58aeb70fb8c4182bc4 2025-01-16T20:37:16+00:00 Quantitative analysis of γ–oryzanol content in cold pressed rice bran oil by TLC–image analysis method Apirak Sakunpak Jirapornchai Suksaeree Chaowalit Monton Pathamaporn Pathompak Krisana Kraisintu 2014-02-01T00:00:00Z https://doi.org/10.1016/S2221-1691(14)60219-7 https://doaj.org/article/b43bcf5c838a4b58aeb70fb8c4182bc4 EN eng Wolters Kluwer Medknow Publications http://www.sciencedirect.com/science/article/pii/S2221169115301805 https://doaj.org/toc/2221-1691 2221-1691 doi:10.1016/S2221-1691(14)60219-7 https://doaj.org/article/b43bcf5c838a4b58aeb70fb8c4182bc4 Asian Pacific Journal of Tropical Biomedicine, Vol 4, Iss 2, Pp 119-123 (2014) γ–Oryzanol TLC–densitometric method TLC–image analysis method Rice bran oil Quantitative analysis Arctic medicine. Tropical medicine RC955-962 Biology (General) QH301-705.5 article 2014 ftdoajarticles https://doi.org/10.1016/S2221-1691(14)60219-7 2022-12-31T00:07:48Z Objective: To develop and validate an image analysis method for quantitative analysis of γ-oryzanol in cold pressed rice bran oil. Methods: TLC-densitometric and TLC-image analysis methods were developed, validated, and used for quantitative analysis of γ-oryzanol in cold pressed rice bran oil. The results obtained by these two different quantification methods were compared by paired t-test. Results: Both assays provided good linearity, accuracy, reproducibility and selectivity for determination of γ-oryzanol. Conclusions: The TLC-densitometric and TLC-image analysis methods provided a similar reproducibility, accuracy and selectivity for the quantitative determination of γ-oryzanol in cold pressed rice bran oil. A statistical comparison of the quantitative determinations of γ-oryzanol in samples did not show any statistically significant difference between TLC-densitometric and TLC-image analysis methods. As both methods were found to be equal, they therefore can be used for the determination of γ-oryzanol in cold pressed rice bran oil. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Asian Pacific Journal of Tropical Biomedicine 4 2 119 123
spellingShingle γ–Oryzanol
TLC–densitometric method
TLC–image analysis method
Rice bran oil
Quantitative analysis
Arctic medicine. Tropical medicine
RC955-962
Biology (General)
QH301-705.5
Apirak Sakunpak
Jirapornchai Suksaeree
Chaowalit Monton
Pathamaporn Pathompak
Krisana Kraisintu
Quantitative analysis of γ–oryzanol content in cold pressed rice bran oil by TLC–image analysis method
title Quantitative analysis of γ–oryzanol content in cold pressed rice bran oil by TLC–image analysis method
title_full Quantitative analysis of γ–oryzanol content in cold pressed rice bran oil by TLC–image analysis method
title_fullStr Quantitative analysis of γ–oryzanol content in cold pressed rice bran oil by TLC–image analysis method
title_full_unstemmed Quantitative analysis of γ–oryzanol content in cold pressed rice bran oil by TLC–image analysis method
title_short Quantitative analysis of γ–oryzanol content in cold pressed rice bran oil by TLC–image analysis method
title_sort quantitative analysis of γ–oryzanol content in cold pressed rice bran oil by tlc–image analysis method
topic γ–Oryzanol
TLC–densitometric method
TLC–image analysis method
Rice bran oil
Quantitative analysis
Arctic medicine. Tropical medicine
RC955-962
Biology (General)
QH301-705.5
topic_facet γ–Oryzanol
TLC–densitometric method
TLC–image analysis method
Rice bran oil
Quantitative analysis
Arctic medicine. Tropical medicine
RC955-962
Biology (General)
QH301-705.5
url https://doi.org/10.1016/S2221-1691(14)60219-7
https://doaj.org/article/b43bcf5c838a4b58aeb70fb8c4182bc4