Application of multivariate data analysis 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:	Conference or Workshop Item
Language:	English
Published:	Kulliyah of Engineering, International Islamic University Malaysia 2016
Subjects:	QK Botany T Technology (General)
Online Access:	http://irep.iium.edu.my/51673/ http://irep.iium.edu.my/51673/1/51673.pdf

id	iium-51673
recordtype	eprints
spelling	iium-516732017-07-12T04:38:54Z http://irep.iium.edu.my/51673/ Application of multivariate data analysis for rapid identification of flavonoids classes Che Noh, Che Hafizah Mohamed Azmin, Nor Fadhillah Amid, Azura Asnawi, Ani Liza QK Botany T Technology (General) 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. Fourier Transform Infrared (FTIR) spectroscopy coupled with multivariate statistical data analysis, which is Principal Component Analysis (PCA) was performed. The results showed that the flavonoids classes were identified according to spectral region assigned using the PCA algorithm based on the FTIR spectrum of the samples. The study concluded that FTIR coupled with PCA analysis can be used as a molecular fingerprint for rapid identification of flavonoids classes. The comparative studies of other flavonoids classes are still under investigation using the same method. Kulliyah of Engineering, International Islamic University Malaysia 2016 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/51673/1/51673.pdf Che Noh, Che Hafizah and Mohamed Azmin, Nor Fadhillah and Amid, Azura and Asnawi, Ani Liza (2016) Application of multivariate data analysis for rapid identification of flavonoids classes. In: 4th International Conference on Biotechnology Engineering 2016 (ICBioE 2016), 25th-27th July 2016, Kuala Lumpur.
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QK Botany T Technology (General)
spellingShingle	QK Botany T Technology (General) Che Noh, Che Hafizah Mohamed Azmin, Nor Fadhillah Amid, Azura Asnawi, Ani Liza Application of multivariate data analysis 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. Fourier Transform Infrared (FTIR) spectroscopy coupled with multivariate statistical data analysis, which is Principal Component Analysis (PCA) was performed. The results showed that the flavonoids classes were identified according to spectral region assigned using the PCA algorithm based on the FTIR spectrum of the samples. The study concluded that FTIR coupled with PCA analysis can be used as a molecular fingerprint for rapid identification of flavonoids classes. The comparative studies of other flavonoids classes are still under investigation using the same method.
format	Conference or Workshop Item
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	Application of multivariate data analysis for rapid identification of flavonoids classes
title_short	Application of multivariate data analysis for rapid identification of flavonoids classes
title_full	Application of multivariate data analysis for rapid identification of flavonoids classes
title_fullStr	Application of multivariate data analysis for rapid identification of flavonoids classes
title_full_unstemmed	Application of multivariate data analysis for rapid identification of flavonoids classes
title_sort	application of multivariate data analysis for rapid identification of flavonoids classes
publisher	Kulliyah of Engineering, International Islamic University Malaysia
publishDate	2016
url	http://irep.iium.edu.my/51673/ http://irep.iium.edu.my/51673/1/51673.pdf
first_indexed	2023-09-18T21:13:12Z
last_indexed	2023-09-18T21:13:12Z
_version_	1777411389977001984

Application of multivariate data analysis for rapid identification of flavonoids classes

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