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Principal component analysis application on flavonoids characterization

Flavonoid is one of the bioactive compounds that are currently used in pharmaceutical and medicinal industries due to their health benefit. The focus of current research is mainly on the extraction and isolation of bioactive compounds; however non to date has explored on the identification of fla...

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Main Authors: Che Noh, Che Hafizah, Mohamed Azmin, Nor Fadhillah, Amid, Azura
Format: Article
Language:English
Published: Thomson Reuters 2017
Subjects:
TP155 Chemical engineering
TP248.13 Biotechnology
Online Access:http://irep.iium.edu.my/59897/1/ASTESJ_PCA%20Application%20on%20Flavonoids%20Characterization.pdf
http://irep.iium.edu.my/59897/
https://astesj.com/v02/i03/p56/
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spelling my.iium.irep.598972017-12-06T09:02:01Z http://irep.iium.edu.my/59897/ Principal component analysis application on flavonoids characterization Che Noh, Che Hafizah Mohamed Azmin, Nor Fadhillah Amid, Azura TP155 Chemical engineering TP248.13 Biotechnology Flavonoid is one of the bioactive compounds that are currently used in pharmaceutical and medicinal industries due to their health benefit. The focus of current research is mainly on the extraction and isolation of bioactive compounds; however non to date has explored on the identification of flavonoids classes under the Fourier Transform Infrared spectroscopy (FTIR). This gap presents an opportunity for the application of statistical analysis which can identify the distinct wavenumbers range of flavone, flavanone and flavonol for their characterization in the FTIR spectrum. Development of algorithm based on principal component analysis (PCA) for the analysis and identification of flavonoids classes based on FTIR spectrum was introduced. Based on the results, five wavenumbers ranges have been identified as the distinct characteristics of flavonol, flavone and flavanone hence used for their identification. Thomson Reuters 2017-05-24 Article REM application/pdf en http://irep.iium.edu.my/59897/1/ASTESJ_PCA%20Application%20on%20Flavonoids%20Characterization.pdf Che Noh, Che Hafizah and Mohamed Azmin, Nor Fadhillah and Amid, Azura (2017) Principal component analysis application on flavonoids characterization. Advances in Science, Technology and Engineering Systems, 2 (3). pp. 435-440. ISSN 2415-6698 https://astesj.com/v02/i03/p56/ 10.25046/aj020356
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TP155 Chemical engineering
TP248.13 Biotechnology
spellingShingle TP155 Chemical engineering
TP248.13 Biotechnology
Che Noh, Che Hafizah
Mohamed Azmin, Nor Fadhillah
Amid, Azura
Principal component analysis application on flavonoids characterization
description Flavonoid is one of the bioactive compounds that are currently used in pharmaceutical and medicinal industries due to their health benefit. The focus of current research is mainly on the extraction and isolation of bioactive compounds; however non to date has explored on the identification of flavonoids classes under the Fourier Transform Infrared spectroscopy (FTIR). This gap presents an opportunity for the application of statistical analysis which can identify the distinct wavenumbers range of flavone, flavanone and flavonol for their characterization in the FTIR spectrum. Development of algorithm based on principal component analysis (PCA) for the analysis and identification of flavonoids classes based on FTIR spectrum was introduced. Based on the results, five wavenumbers ranges have been identified as the distinct characteristics of flavonol, flavone and flavanone hence used for their identification.
format Article
author Che Noh, Che Hafizah
Mohamed Azmin, Nor Fadhillah
Amid, Azura
author_facet Che Noh, Che Hafizah
Mohamed Azmin, Nor Fadhillah
Amid, Azura
author_sort Che Noh, Che Hafizah
title Principal component analysis application on flavonoids characterization
title_short Principal component analysis application on flavonoids characterization
title_full Principal component analysis application on flavonoids characterization
title_fullStr Principal component analysis application on flavonoids characterization
title_full_unstemmed Principal component analysis application on flavonoids characterization
title_sort principal component analysis application on flavonoids characterization
publisher Thomson Reuters
publishDate 2017
url http://irep.iium.edu.my/59897/1/ASTESJ_PCA%20Application%20on%20Flavonoids%20Characterization.pdf
http://irep.iium.edu.my/59897/
https://astesj.com/v02/i03/p56/
_version_ 1643615687977992192
score 13.211869

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