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...

Full description

Bibliographic Details
Main Authors: Saleh, Mohammed S M, Siddiqui, Mohammad Jamshed Ahmad, Mat So'ad, Siti Zaiton, Khatib, Alfi
Format: Proceeding Paper
Language:English
Published: 2017
Subjects:
Online Access:http://irep.iium.edu.my/61231/
http://irep.iium.edu.my/61231/1/61231_FT-IR-%20based%20metabolomics%20approach.pdf
_version_ 1848785635337306112
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
building IIUM Repository
collection Online Access
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.
first_indexed 2025-11-14T16:56:16Z
format Proceeding Paper
id iium-61231
institution International Islamic University Malaysia
institution_category Local University
language English
last_indexed 2025-11-14T16:56:16Z
publishDate 2017
recordtype eprints
repository_type Digital Repository
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 Proceeding Paper 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
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
title 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_short 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
topic QD Chemistry
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