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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Institute of Electrical and Electronics Engineers Inc.
2017
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my.iium.irep.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 REM 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 |
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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 |
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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/57134/1/57134_Development%20of%20algorithm%20to%20characterize_complete.pdf http://irep.iium.edu.my/57134/2/57134_Development%20of%20algorithm%20to%20characterize_scopus.pdf http://irep.iium.edu.my/57134/ http://ieeexplore.ieee.org/document/7810050/ |
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