Rapid investigation of a-glucosidase inhibitory activity of Phaleria macrocarpa extracts using FTIR-ATR based fingerprinting

Phaleria macrocarpa, known as “Mahkota Dewa”, is a widely used medicinal plant in Malaysia. This study focused on the characterization of α-glucosidase inhibitory activity of P. macrocarpa extracts using Fourier transform infrared spectroscopy (FTIR)-based metabolomics. P. macrocarpa and its extract...

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Main Authors: Easmin, Sabina, Sarker, Md. Zaidul Islam, Ghafoor, Kashif, Ferdosh, Sahena, Md. Jaffri, Juliana, Ali, Md. Eaqub, Mirhosseini, Hamed, Al-Juhaimi, Fahad Y., Perumal, Vikneswari, Khatib, Alfi
Format: Article
Language:English
English
English
Published: Elsevier 2017
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Online Access:http://irep.iium.edu.my/53769/12/53769-Rapid%20investigation.pdf
http://irep.iium.edu.my/53769/13/53769-Rapid%20investigation_SCOPUS.pdf
http://irep.iium.edu.my/53769/24/53769_Rapid%20investigation%20of%20%CE%B1-glucosidase_WOS.pdf
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spelling my.iium.irep.537692019-03-05T03:40:01Z http://irep.iium.edu.my/53769/ Rapid investigation of a-glucosidase inhibitory activity of Phaleria macrocarpa extracts using FTIR-ATR based fingerprinting Easmin, Sabina Sarker, Md. Zaidul Islam Ghafoor, Kashif Ferdosh, Sahena Md. Jaffri, Juliana Ali, Md. Eaqub Mirhosseini, Hamed Al-Juhaimi, Fahad Y. Perumal, Vikneswari Khatib, Alfi RS Pharmacy and materia medica Phaleria macrocarpa, known as “Mahkota Dewa”, is a widely used medicinal plant in Malaysia. This study focused on the characterization of α-glucosidase inhibitory activity of P. macrocarpa extracts using Fourier transform infrared spectroscopy (FTIR)-based metabolomics. P. macrocarpa and its extracts contain thousands of compounds having synergistic effect. Generally, their variability exists, and there are many active components in meager amounts. Thus, the conventional measurement methods of a single component for the quality control are time consuming, laborious, expensive, and unreliable. It is of great interest to develop a rapid prediction method for herbal quality control to investigate the α-glucosidase inhibitory activity of P. macrocarpa by multicomponent analyses. In this study, a rapid and simple analytical method was developed using FTIR spectroscopy-based fingerprinting. A total of 36 extracts of different ethanol concentrations were prepared and tested on inhibitory potential and fingerprinted using FTIR spectroscopy, coupled with chemometrics of orthogonal partial least square (OPLS) at the 4000–400 cm−1 frequency region and resolution of 4 cm−1. The OPLS model generated the highest regression coefficient with R2Y = 0.98 and Q2Y = 0.70, lowest root mean square error estimation = 17.17, and root mean square error of cross validation = 57.29. A five-component (1+4+0) predictive model was build up to correlate FTIR spectra with activity, and the responsible functional groups, such as –CH, –NH, –COOH, and –OH, were identified for the bioactivity. A successful multivariate model was constructed using FTIR-attenuated total reflection as a simple and rapid technique to predict the inhibitory activity. Elsevier 2017-04 Article PeerReviewed application/pdf en http://irep.iium.edu.my/53769/12/53769-Rapid%20investigation.pdf application/pdf en http://irep.iium.edu.my/53769/13/53769-Rapid%20investigation_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/53769/24/53769_Rapid%20investigation%20of%20%CE%B1-glucosidase_WOS.pdf Easmin, Sabina and Sarker, Md. Zaidul Islam and Ghafoor, Kashif and Ferdosh, Sahena and Md. Jaffri, Juliana and Ali, Md. Eaqub and Mirhosseini, Hamed and Al-Juhaimi, Fahad Y. and Perumal, Vikneswari and Khatib, Alfi (2017) Rapid investigation of a-glucosidase inhibitory activity of Phaleria macrocarpa extracts using FTIR-ATR based fingerprinting. Journal of Food and Drug analysis, 25 (2). pp. 306-315. ISSN 1021-9498 https://ac.els-cdn.com/S1021949816301466/1-s2.0-S1021949816301466-main.pdf?_tid=5ec02b60-af17-11e7-a530-00000aacb361&acdnat=1507790237_51b8942c86707cf5e0a121fb628967df 10.1016/j.jfda.2016.09.007
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
English
topic RS Pharmacy and materia medica
spellingShingle RS Pharmacy and materia medica
Easmin, Sabina
Sarker, Md. Zaidul Islam
Ghafoor, Kashif
Ferdosh, Sahena
Md. Jaffri, Juliana
Ali, Md. Eaqub
Mirhosseini, Hamed
Al-Juhaimi, Fahad Y.
Perumal, Vikneswari
Khatib, Alfi
Rapid investigation of a-glucosidase inhibitory activity of Phaleria macrocarpa extracts using FTIR-ATR based fingerprinting
description Phaleria macrocarpa, known as “Mahkota Dewa”, is a widely used medicinal plant in Malaysia. This study focused on the characterization of α-glucosidase inhibitory activity of P. macrocarpa extracts using Fourier transform infrared spectroscopy (FTIR)-based metabolomics. P. macrocarpa and its extracts contain thousands of compounds having synergistic effect. Generally, their variability exists, and there are many active components in meager amounts. Thus, the conventional measurement methods of a single component for the quality control are time consuming, laborious, expensive, and unreliable. It is of great interest to develop a rapid prediction method for herbal quality control to investigate the α-glucosidase inhibitory activity of P. macrocarpa by multicomponent analyses. In this study, a rapid and simple analytical method was developed using FTIR spectroscopy-based fingerprinting. A total of 36 extracts of different ethanol concentrations were prepared and tested on inhibitory potential and fingerprinted using FTIR spectroscopy, coupled with chemometrics of orthogonal partial least square (OPLS) at the 4000–400 cm−1 frequency region and resolution of 4 cm−1. The OPLS model generated the highest regression coefficient with R2Y = 0.98 and Q2Y = 0.70, lowest root mean square error estimation = 17.17, and root mean square error of cross validation = 57.29. A five-component (1+4+0) predictive model was build up to correlate FTIR spectra with activity, and the responsible functional groups, such as –CH, –NH, –COOH, and –OH, were identified for the bioactivity. A successful multivariate model was constructed using FTIR-attenuated total reflection as a simple and rapid technique to predict the inhibitory activity.
format Article
author Easmin, Sabina
Sarker, Md. Zaidul Islam
Ghafoor, Kashif
Ferdosh, Sahena
Md. Jaffri, Juliana
Ali, Md. Eaqub
Mirhosseini, Hamed
Al-Juhaimi, Fahad Y.
Perumal, Vikneswari
Khatib, Alfi
author_facet Easmin, Sabina
Sarker, Md. Zaidul Islam
Ghafoor, Kashif
Ferdosh, Sahena
Md. Jaffri, Juliana
Ali, Md. Eaqub
Mirhosseini, Hamed
Al-Juhaimi, Fahad Y.
Perumal, Vikneswari
Khatib, Alfi
author_sort Easmin, Sabina
title Rapid investigation of a-glucosidase inhibitory activity of Phaleria macrocarpa extracts using FTIR-ATR based fingerprinting
title_short Rapid investigation of a-glucosidase inhibitory activity of Phaleria macrocarpa extracts using FTIR-ATR based fingerprinting
title_full Rapid investigation of a-glucosidase inhibitory activity of Phaleria macrocarpa extracts using FTIR-ATR based fingerprinting
title_fullStr Rapid investigation of a-glucosidase inhibitory activity of Phaleria macrocarpa extracts using FTIR-ATR based fingerprinting
title_full_unstemmed Rapid investigation of a-glucosidase inhibitory activity of Phaleria macrocarpa extracts using FTIR-ATR based fingerprinting
title_sort rapid investigation of a-glucosidase inhibitory activity of phaleria macrocarpa extracts using ftir-atr based fingerprinting
publisher Elsevier
publishDate 2017
url http://irep.iium.edu.my/53769/12/53769-Rapid%20investigation.pdf
http://irep.iium.edu.my/53769/13/53769-Rapid%20investigation_SCOPUS.pdf
http://irep.iium.edu.my/53769/24/53769_Rapid%20investigation%20of%20%CE%B1-glucosidase_WOS.pdf
http://irep.iium.edu.my/53769/
https://ac.els-cdn.com/S1021949816301466/1-s2.0-S1021949816301466-main.pdf?_tid=5ec02b60-af17-11e7-a530-00000aacb361&acdnat=1507790237_51b8942c86707cf5e0a121fb628967df
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score 13.211869