FT-IR- based metabolomics approach to characterize the α-glucosidase inhibitory activity of Salak fruit

Salak fruit (Salacca zalacca (Gaertn.) Voss), locally known as snake fruit is used domestically as food and other medicinal applications in south Asia. The quality control is important for medicinal. Thus, this study was conducted to evaluate α-glucosidase inhibitory activity of Salak fruit extract...

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Main Authors:	Saleh, Mohammed S M, Siddiqui, Mohammad Jamshed Ahmad, Mat So'ad, Siti Zaiton, Khatib, Alfi
Format:	Conference or Workshop Item
Language:	English
Published:	2017
Subjects:	QD Chemistry
Online Access:	http://irep.iium.edu.my/61231/ http://irep.iium.edu.my/61231/ http://irep.iium.edu.my/61231/1/61231_FT-IR-%20based%20metabolomics%20approach.pdf

id	iium-61231
recordtype	eprints
spelling	iium-612312018-01-22T09:13:22Z http://irep.iium.edu.my/61231/ FT-IR- based metabolomics approach to characterize the α-glucosidase inhibitory activity of Salak fruit Saleh, Mohammed S M Siddiqui, Mohammad Jamshed Ahmad Mat So'ad, Siti Zaiton Khatib, Alfi QD Chemistry Salak fruit (Salacca zalacca (Gaertn.) Voss), locally known as snake fruit is used domestically as food and other medicinal applications in south Asia. The quality control is important for medicinal. Thus, this study was conducted to evaluate α-glucosidase inhibitory activity of Salak fruit extracts and Fourier Transform Infrared spectroscopy (FT-IR)-based fingerprinting with combination of orthogonal partial least-squares (OPLS) was applied to develop a rapid method for quality control of this fruit. Extraction with different solvent ratios of ethanol-water (100, 80, 60, 40 ,20, 0%) was used to get 36 extracts and α-glucosidase inhibitory activity of the samples were determined. The FTIR-ATR spectra of hydro-ethanolic extracts were measured in the region 600 and 4000 cm-1 at a resolution of 4 cm-1. Multivariate analysis with combination of orthogonal partial least-squares (OPLS) algorithm was used to correlate the α-glucosidase inhibitory activity of the samples with the infrared spectral data. The OPLS biplot model identified several functional groups (C=O, O-H C-O, C-N, C-H and C=C) strongly induced α-glucosidase inhibitory activity. A successful the model was validated by comparing the model intercept values with original values. 2017-12-18 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/61231/1/61231_FT-IR-%20based%20metabolomics%20approach.pdf Saleh, Mohammed S M and Siddiqui, Mohammad Jamshed Ahmad and Mat So'ad, Siti Zaiton and Khatib, Alfi (2017) FT-IR- based metabolomics approach to characterize the α-glucosidase inhibitory activity of Salak fruit. In: International Malaysian-French Scientific Conference (IMFSC 2017), 18th-19th Dec. 2017, Kuala Lumpur. (Unpublished) https://umconference.um.edu.my/IMFSC2017=6e2d5d50a943a0e0d738377f51011685
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 Saleh, Mohammed S M Siddiqui, Mohammad Jamshed Ahmad Mat So'ad, Siti Zaiton Khatib, Alfi FT-IR- based metabolomics approach to characterize the α-glucosidase inhibitory activity of Salak fruit
description	Salak fruit (Salacca zalacca (Gaertn.) Voss), locally known as snake fruit is used domestically as food and other medicinal applications in south Asia. The quality control is important for medicinal. Thus, this study was conducted to evaluate α-glucosidase inhibitory activity of Salak fruit extracts and Fourier Transform Infrared spectroscopy (FT-IR)-based fingerprinting with combination of orthogonal partial least-squares (OPLS) was applied to develop a rapid method for quality control of this fruit. Extraction with different solvent ratios of ethanol-water (100, 80, 60, 40 ,20, 0%) was used to get 36 extracts and α-glucosidase inhibitory activity of the samples were determined. The FTIR-ATR spectra of hydro-ethanolic extracts were measured in the region 600 and 4000 cm-1 at a resolution of 4 cm-1. Multivariate analysis with combination of orthogonal partial least-squares (OPLS) algorithm was used to correlate the α-glucosidase inhibitory activity of the samples with the infrared spectral data. The OPLS biplot model identified several functional groups (C=O, O-H C-O, C-N, C-H and C=C) strongly induced α-glucosidase inhibitory activity. A successful the model was validated by comparing the model intercept values with original values.
format	Conference or Workshop Item
author	Saleh, Mohammed S M Siddiqui, Mohammad Jamshed Ahmad Mat So'ad, Siti Zaiton Khatib, Alfi
author_facet	Saleh, Mohammed S M Siddiqui, Mohammad Jamshed Ahmad Mat So'ad, Siti Zaiton Khatib, Alfi
author_sort	Saleh, Mohammed S M
title	FT-IR- based metabolomics approach to characterize the α-glucosidase inhibitory activity of Salak fruit
title_short	FT-IR- based metabolomics approach to characterize the α-glucosidase inhibitory activity of Salak fruit
title_full	FT-IR- based metabolomics approach to characterize the α-glucosidase inhibitory activity of Salak fruit
title_fullStr	FT-IR- based metabolomics approach to characterize the α-glucosidase inhibitory activity of Salak fruit
title_full_unstemmed	FT-IR- based metabolomics approach to characterize the α-glucosidase inhibitory activity of Salak fruit
title_sort	ft-ir- based metabolomics approach to characterize the α-glucosidase inhibitory activity of salak fruit
publishDate	2017
url	http://irep.iium.edu.my/61231/ http://irep.iium.edu.my/61231/ http://irep.iium.edu.my/61231/1/61231_FT-IR-%20based%20metabolomics%20approach.pdf
first_indexed	2023-09-18T21:26:51Z
last_indexed	2023-09-18T21:26:51Z
_version_	1777412248492310528

FT-IR- based metabolomics approach to characterize the α-glucosidase inhibitory activity of Salak fruit

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