Characterization of α-glucosidase inhibitory activity of Tetracera scandens leaves by Fourier transform infrared spectroscopy-based metabolomics

Tetracera scandens is a medicinal shrub that belongs to Dilleniaceae. The leaves of the plant have been traditionally used in the treatment of diabetes mellitus in Malaysia. The conventional quality control analysis of medicinal plants that relies on the quantification of few major metabolites is co...

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Main Authors:	Ahmed, Nokhala, Ahmed, Qamar Uddin, Saleh, Mohammed S M, Nipun, Tanzina Sharmin, Firus Khan, Al'aina Yuhainis, Siddiqui, Mohammad Jamshed Ahmad
Format:	Article
Language:	English
Published:	Springer 2019
Subjects:	QD Chemistry
Online Access:	http://irep.iium.edu.my/77459/ http://irep.iium.edu.my/77459/ http://irep.iium.edu.my/77459/ http://irep.iium.edu.my/77459/1/OPEM_T.%20scandens_2019.pdf

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recordtype	eprints
spelling	iium-774592019-12-30T03:38:41Z http://irep.iium.edu.my/77459/ Characterization of α-glucosidase inhibitory activity of Tetracera scandens leaves by Fourier transform infrared spectroscopy-based metabolomics Ahmed, Nokhala Ahmed, Qamar Uddin Saleh, Mohammed S M Nipun, Tanzina Sharmin Firus Khan, Al'aina Yuhainis Siddiqui, Mohammad Jamshed Ahmad QD Chemistry Tetracera scandens is a medicinal shrub that belongs to Dilleniaceae. The leaves of the plant have been traditionally used in the treatment of diabetes mellitus in Malaysia. The conventional quality control analysis of medicinal plants that relies on the quantification of few major metabolites is considered time-consuming since it requires extensive sample preparation and neglects the possible impacts that the minor metabolites could have on the activity. This study was aimed to investigate the α-glucosidase inhibitory (AGI) potential of different hydromethanolic extracts of T. scandens leaves and to establish a predictive multivariate model that could be used for the quality evaluation of T. scandens leaf based on the Fourier transform infrared (FT-IR) spectra of its extracts. Different solvent ratios (0%, 20%, 40%, 60%, 80% and 100% methanol in water) were used to prepare a total of 36 extracts. The AGI potential and the FT-IR fingerprint spectrum were acquired for each extract. A four components orthogonal partial least squares (OPLS) model (1 + 3 + 0) with R2Y of 0.951 and Q2Y of 0.916 was established to describe the correlation between the fingerprint FT-IR spectra of different T. scandens extracts and their corresponding AGI activities. The carbon-halide, carbon–oxygen single bonds, as well as the hydroxyl and carbonyl groups were identified to be positively correlated with the AGI activity. To sum up, an OPLS model was successfully developed as a rapid quality evaluation method to predict the AGI activity of T. scandens. Springer 2019-12-23 Article PeerReviewed application/pdf en http://irep.iium.edu.my/77459/1/OPEM_T.%20scandens_2019.pdf Ahmed, Nokhala and Ahmed, Qamar Uddin and Saleh, Mohammed S M and Nipun, Tanzina Sharmin and Firus Khan, Al'aina Yuhainis and Siddiqui, Mohammad Jamshed Ahmad (2019) Characterization of α-glucosidase inhibitory activity of Tetracera scandens leaves by Fourier transform infrared spectroscopy-based metabolomics. Oriental Pharmacy and Experimental Medicine. ISSN 2662-4052 https://www.springer.com 10.1007/s13596-019-00417-6
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QD Chemistry
spellingShingle	QD Chemistry Ahmed, Nokhala Ahmed, Qamar Uddin Saleh, Mohammed S M Nipun, Tanzina Sharmin Firus Khan, Al'aina Yuhainis Siddiqui, Mohammad Jamshed Ahmad Characterization of α-glucosidase inhibitory activity of Tetracera scandens leaves by Fourier transform infrared spectroscopy-based metabolomics
description	Tetracera scandens is a medicinal shrub that belongs to Dilleniaceae. The leaves of the plant have been traditionally used in the treatment of diabetes mellitus in Malaysia. The conventional quality control analysis of medicinal plants that relies on the quantification of few major metabolites is considered time-consuming since it requires extensive sample preparation and neglects the possible impacts that the minor metabolites could have on the activity. This study was aimed to investigate the α-glucosidase inhibitory (AGI) potential of different hydromethanolic extracts of T. scandens leaves and to establish a predictive multivariate model that could be used for the quality evaluation of T. scandens leaf based on the Fourier transform infrared (FT-IR) spectra of its extracts. Different solvent ratios (0%, 20%, 40%, 60%, 80% and 100% methanol in water) were used to prepare a total of 36 extracts. The AGI potential and the FT-IR fingerprint spectrum were acquired for each extract. A four components orthogonal partial least squares (OPLS) model (1 + 3 + 0) with R2Y of 0.951 and Q2Y of 0.916 was established to describe the correlation between the fingerprint FT-IR spectra of different T. scandens extracts and their corresponding AGI activities. The carbon-halide, carbon–oxygen single bonds, as well as the hydroxyl and carbonyl groups were identified to be positively correlated with the AGI activity. To sum up, an OPLS model was successfully developed as a rapid quality evaluation method to predict the AGI activity of T. scandens.
format	Article
author	Ahmed, Nokhala Ahmed, Qamar Uddin Saleh, Mohammed S M Nipun, Tanzina Sharmin Firus Khan, Al'aina Yuhainis Siddiqui, Mohammad Jamshed Ahmad
author_facet	Ahmed, Nokhala Ahmed, Qamar Uddin Saleh, Mohammed S M Nipun, Tanzina Sharmin Firus Khan, Al'aina Yuhainis Siddiqui, Mohammad Jamshed Ahmad
author_sort	Ahmed, Nokhala
title	Characterization of α-glucosidase inhibitory activity of Tetracera scandens leaves by Fourier transform infrared spectroscopy-based metabolomics
title_short	Characterization of α-glucosidase inhibitory activity of Tetracera scandens leaves by Fourier transform infrared spectroscopy-based metabolomics
title_full	Characterization of α-glucosidase inhibitory activity of Tetracera scandens leaves by Fourier transform infrared spectroscopy-based metabolomics
title_fullStr	Characterization of α-glucosidase inhibitory activity of Tetracera scandens leaves by Fourier transform infrared spectroscopy-based metabolomics
title_full_unstemmed	Characterization of α-glucosidase inhibitory activity of Tetracera scandens leaves by Fourier transform infrared spectroscopy-based metabolomics
title_sort	characterization of α-glucosidase inhibitory activity of tetracera scandens leaves by fourier transform infrared spectroscopy-based metabolomics
publisher	Springer
publishDate	2019
url	http://irep.iium.edu.my/77459/ http://irep.iium.edu.my/77459/ http://irep.iium.edu.my/77459/ http://irep.iium.edu.my/77459/1/OPEM_T.%20scandens_2019.pdf
first_indexed	2023-09-18T21:49:14Z
last_indexed	2023-09-18T21:49:14Z
_version_	1777413657596002304

Characterization of α-glucosidase inhibitory activity of Tetracera scandens leaves by Fourier transform infrared spectroscopy-based metabolomics

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