Algorithm for rapid identification of flavonoids classes

Bioactive compounds are one of the natural products used especially for medicinal, pharmaceutical and food application. Increasing research performed on the extraction, isolation and identification of bioactive compounds, however non to date has explored on the identification of flavonoids classes....

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Main Authors:	Che Noh, Che Hafizah, Mohamed Azmin, Nor Fadhillah, Amid, Azura, Asnawi, Ani Liza
Format:	Article
Language:	English English
Published:	Faculty of Food Science & Technology, Universiti Putra Malaysia (UPM) 2017
Subjects:	TP155 Chemical engineering TP248.13 Biotechnology
Online Access:	http://irep.iium.edu.my/59898/ http://irep.iium.edu.my/59898/ http://irep.iium.edu.my/59898/1/59898_Algorithm%20for%20rapid%20identification%20of%20flavonoids.pdf http://irep.iium.edu.my/59898/7/59898_lgorithm%20for%20rapid%20identification_scopus.pdf

id	iium-59898
recordtype	eprints
spelling	iium-598982018-07-27T04:19:53Z http://irep.iium.edu.my/59898/ Algorithm for rapid identification of flavonoids classes Che Noh, Che Hafizah Mohamed Azmin, Nor Fadhillah Amid, Azura Asnawi, Ani Liza TP155 Chemical engineering TP248.13 Biotechnology Bioactive compounds are one of the natural products used especially for medicinal, pharmaceutical and food application. Increasing research performed on the extraction, isolation and identification of bioactive compounds, however non to date has explored on the identification of flavonoids classes. Therefore, this study was focused on the development of algorithm for rapid identification of flavonoids classes which are flavanone, flavone and flavonol and also their derivatives. Fourier Transform Infrared (FTIR) spectroscopy coupled with multivariate statistical data analysis, which is Principal Component Analysis (PCA) was utilized. The results exhibited that few significant wavenumber range provides the identification and characterization of the flavonoids classes based on PCA algorithm. The study concluded that FTIR coupled with PCA analysis can be used as a molecular fingerprint for rapid identification of flavonoids. Faculty of Food Science & Technology, Universiti Putra Malaysia (UPM) 2017-12 Article PeerReviewed application/pdf en http://irep.iium.edu.my/59898/1/59898_Algorithm%20for%20rapid%20identification%20of%20flavonoids.pdf application/pdf en http://irep.iium.edu.my/59898/7/59898_lgorithm%20for%20rapid%20identification_scopus.pdf Che Noh, Che Hafizah and Mohamed Azmin, Nor Fadhillah and Amid, Azura and Asnawi, Ani Liza (2017) Algorithm for rapid identification of flavonoids classes. International Food Research Journal, 24. pp. 410-415. ISSN 1985-4668 E-ISSN 2231-7546 http://www.ifrj.upm.edu.my/24%20(07)%202017%20supplementary/(23)%20R1.pdf
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English 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 Asnawi, Ani Liza Algorithm for rapid identification of flavonoids classes
description	Bioactive compounds are one of the natural products used especially for medicinal, pharmaceutical and food application. Increasing research performed on the extraction, isolation and identification of bioactive compounds, however non to date has explored on the identification of flavonoids classes. Therefore, this study was focused on the development of algorithm for rapid identification of flavonoids classes which are flavanone, flavone and flavonol and also their derivatives. Fourier Transform Infrared (FTIR) spectroscopy coupled with multivariate statistical data analysis, which is Principal Component Analysis (PCA) was utilized. The results exhibited that few significant wavenumber range provides the identification and characterization of the flavonoids classes based on PCA algorithm. The study concluded that FTIR coupled with PCA analysis can be used as a molecular fingerprint for rapid identification of flavonoids.
format	Article
author	Che Noh, Che Hafizah Mohamed Azmin, Nor Fadhillah Amid, Azura Asnawi, Ani Liza
author_facet	Che Noh, Che Hafizah Mohamed Azmin, Nor Fadhillah Amid, Azura Asnawi, Ani Liza
author_sort	Che Noh, Che Hafizah
title	Algorithm for rapid identification of flavonoids classes
title_short	Algorithm for rapid identification of flavonoids classes
title_full	Algorithm for rapid identification of flavonoids classes
title_fullStr	Algorithm for rapid identification of flavonoids classes
title_full_unstemmed	Algorithm for rapid identification of flavonoids classes
title_sort	algorithm for rapid identification of flavonoids classes
publisher	Faculty of Food Science & Technology, Universiti Putra Malaysia (UPM)
publishDate	2017
url	http://irep.iium.edu.my/59898/ http://irep.iium.edu.my/59898/ http://irep.iium.edu.my/59898/1/59898_Algorithm%20for%20rapid%20identification%20of%20flavonoids.pdf http://irep.iium.edu.my/59898/7/59898_lgorithm%20for%20rapid%20identification_scopus.pdf
first_indexed	2023-09-18T21:24:54Z
last_indexed	2023-09-18T21:24:54Z
_version_	1777412126700208128

Algorithm for rapid identification of flavonoids classes

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