Development of algorithm to characterize flavonoids classes

Flavonoids 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; non to date has explored on the identification of flavonoids cl...

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Main Authors:	Che Noh, Che Hafizah, Mohamed Azmin, Nor Fadhillah, Amid, Azura, Asnawi, Ani Liza, Ibrahim, Siti Noorjannah
Format:	Conference or Workshop Item
Language:	English English
Published:	Institute of Electrical and Electronics Engineers Inc. 2017
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/57134/ http://irep.iium.edu.my/57134/ http://irep.iium.edu.my/57134/ http://irep.iium.edu.my/57134/1/57134_Development%20of%20algorithm%20to%20characterize_complete.pdf http://irep.iium.edu.my/57134/2/57134_Development%20of%20algorithm%20to%20characterize_scopus.pdf

id	iium-57134
recordtype	eprints
spelling	iium-571342017-10-12T10:02:43Z http://irep.iium.edu.my/57134/ Development of algorithm to characterize flavonoids classes Che Noh, Che Hafizah Mohamed Azmin, Nor Fadhillah Amid, Azura Asnawi, Ani Liza Ibrahim, Siti Noorjannah TK7885 Computer engineering Flavonoids 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; non to date has explored on the identification of flavonoids classes under the Fourier Transform Infrared spectroscopy (FTIR). This gap presents an opportunity to develop an algorithm which can identify the distinct wavenumber range of flavone, flavanone and flavonol for their characterization in the FTIR spectrum. Development of algorithm based on PCA for the analysis and identification of flavonoids classes based on FTIR spectrum is introduced. Based on the results, five wavenumbers range has been identified as the distinct characteristics of flavonol, flavone and flavanone hence used for their identification. Institute of Electrical and Electronics Engineers Inc. 2017-01 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/57134/1/57134_Development%20of%20algorithm%20to%20characterize_complete.pdf application/pdf en http://irep.iium.edu.my/57134/2/57134_Development%20of%20algorithm%20to%20characterize_scopus.pdf Che Noh, Che Hafizah and Mohamed Azmin, Nor Fadhillah and Amid, Azura and Asnawi, Ani Liza and Ibrahim, Siti Noorjannah (2017) Development of algorithm to characterize flavonoids classes. In: Proceedings - 14th IEEE Student Conference on Research and Development: Advancing Technology for Humanity, SCOReD 2016, 13-14 Dec. 2016, Berjaya Times Square HotelKuala Lumpur. http://ieeexplore.ieee.org/document/7810050/ 10.1109/SCORED.2016.7810050
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK7885 Computer engineering
spellingShingle	TK7885 Computer engineering Che Noh, Che Hafizah Mohamed Azmin, Nor Fadhillah Amid, Azura Asnawi, Ani Liza Ibrahim, Siti Noorjannah Development of algorithm to characterize flavonoids classes
description	Flavonoids 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; non to date has explored on the identification of flavonoids classes under the Fourier Transform Infrared spectroscopy (FTIR). This gap presents an opportunity to develop an algorithm which can identify the distinct wavenumber range of flavone, flavanone and flavonol for their characterization in the FTIR spectrum. Development of algorithm based on PCA for the analysis and identification of flavonoids classes based on FTIR spectrum is introduced. Based on the results, five wavenumbers range has been identified as the distinct characteristics of flavonol, flavone and flavanone hence used for their identification.
format	Conference or Workshop Item
author	Che Noh, Che Hafizah Mohamed Azmin, Nor Fadhillah Amid, Azura Asnawi, Ani Liza Ibrahim, Siti Noorjannah
author_facet	Che Noh, Che Hafizah Mohamed Azmin, Nor Fadhillah Amid, Azura Asnawi, Ani Liza Ibrahim, Siti Noorjannah
author_sort	Che Noh, Che Hafizah
title	Development of algorithm to characterize flavonoids classes
title_short	Development of algorithm to characterize flavonoids classes
title_full	Development of algorithm to characterize flavonoids classes
title_fullStr	Development of algorithm to characterize flavonoids classes
title_full_unstemmed	Development of algorithm to characterize flavonoids classes
title_sort	development of algorithm to characterize flavonoids classes
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2017
url	http://irep.iium.edu.my/57134/ http://irep.iium.edu.my/57134/ http://irep.iium.edu.my/57134/ http://irep.iium.edu.my/57134/1/57134_Development%20of%20algorithm%20to%20characterize_complete.pdf http://irep.iium.edu.my/57134/2/57134_Development%20of%20algorithm%20to%20characterize_scopus.pdf
first_indexed	2023-09-18T21:20:42Z
last_indexed	2023-09-18T21:20:42Z
_version_	1777411862186426368

Development of algorithm to characterize flavonoids classes

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