Multivariate analysis of PRISMA optimized TLC image for predicting antioxidant activity and identification of contributing compounds from Pereskia bleo

Multivariate analysis of thin-layer chromatography (TLC) images was modeled to predict antioxidant activity of Pereskia bleo leaves and to identify the contributing compounds of the activity. TLC was developed in optimized mobile phase using the 'PRISMA' optimization method and the image w...

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Main Authors: Sharif, K. M., Rahman, Md. Mokhlesur, Azmir, J., Khatib, Alfi, Sabina, E., Shamsudi, S. H., Sarker, Md. Zaidul Islam
Format: Article
Language:English
Published: John Wiley and Sons Ltd 2015
Subjects:
Online Access:http://irep.iium.edu.my/45032/
http://irep.iium.edu.my/45032/
http://irep.iium.edu.my/45032/
http://irep.iium.edu.my/45032/1/bmc3503_-_online.pdf
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spelling iium-450322017-08-17T01:03:11Z http://irep.iium.edu.my/45032/ Multivariate analysis of PRISMA optimized TLC image for predicting antioxidant activity and identification of contributing compounds from Pereskia bleo Sharif, K. M. Rahman, Md. Mokhlesur Azmir, J. Khatib, Alfi Sabina, E. Shamsudi, S. H. Sarker, Md. Zaidul Islam QD Chemistry Multivariate analysis of thin-layer chromatography (TLC) images was modeled to predict antioxidant activity of Pereskia bleo leaves and to identify the contributing compounds of the activity. TLC was developed in optimized mobile phase using the 'PRISMA' optimization method and the image was then converted to wavelet signals and imported for multivariate analysis. An orthogonal partial least square (OPLS) model was developed consisting of a wavelet-converted TLC image and 2,2-diphynyl-picrylhydrazyl free radical scavenging activity of 24 different preparations of P. bleo as the x- and y-variables, respectively. The quality of the constructed OPLS model (1+1+0) with one predictive and one orthogonal component was evaluated by internal and external validity tests. The validated model was then used to identify the contributing spot from the TLC plate that was then analyzed by GC-MS after trimethylsilyl derivatization. Glycerol and amine compounds were mainly found to contribute to the antioxidant activity of the sample. An alternative method to predict the antioxidant activity of a new sample of P. bleo leaves has been developed John Wiley and Sons Ltd 2015 Article PeerReviewed application/pdf en http://irep.iium.edu.my/45032/1/bmc3503_-_online.pdf Sharif, K. M. and Rahman, Md. Mokhlesur and Azmir, J. and Khatib, Alfi and Sabina, E. and Shamsudi, S. H. and Sarker, Md. Zaidul Islam (2015) Multivariate analysis of PRISMA optimized TLC image for predicting antioxidant activity and identification of contributing compounds from Pereskia bleo. Biomedical Chromatography, 29 (12). pp. 1826-1833. ISSN 0269-3879 http://onlinelibrary.wiley.com/doi/10.1002/bmc.3503/ 10.1002/bmc.3503
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
Sharif, K. M.
Rahman, Md. Mokhlesur
Azmir, J.
Khatib, Alfi
Sabina, E.
Shamsudi, S. H.
Sarker, Md. Zaidul Islam
Multivariate analysis of PRISMA optimized TLC image for predicting antioxidant activity and identification of contributing compounds from Pereskia bleo
description Multivariate analysis of thin-layer chromatography (TLC) images was modeled to predict antioxidant activity of Pereskia bleo leaves and to identify the contributing compounds of the activity. TLC was developed in optimized mobile phase using the 'PRISMA' optimization method and the image was then converted to wavelet signals and imported for multivariate analysis. An orthogonal partial least square (OPLS) model was developed consisting of a wavelet-converted TLC image and 2,2-diphynyl-picrylhydrazyl free radical scavenging activity of 24 different preparations of P. bleo as the x- and y-variables, respectively. The quality of the constructed OPLS model (1+1+0) with one predictive and one orthogonal component was evaluated by internal and external validity tests. The validated model was then used to identify the contributing spot from the TLC plate that was then analyzed by GC-MS after trimethylsilyl derivatization. Glycerol and amine compounds were mainly found to contribute to the antioxidant activity of the sample. An alternative method to predict the antioxidant activity of a new sample of P. bleo leaves has been developed
format Article
author Sharif, K. M.
Rahman, Md. Mokhlesur
Azmir, J.
Khatib, Alfi
Sabina, E.
Shamsudi, S. H.
Sarker, Md. Zaidul Islam
author_facet Sharif, K. M.
Rahman, Md. Mokhlesur
Azmir, J.
Khatib, Alfi
Sabina, E.
Shamsudi, S. H.
Sarker, Md. Zaidul Islam
author_sort Sharif, K. M.
title Multivariate analysis of PRISMA optimized TLC image for predicting antioxidant activity and identification of contributing compounds from Pereskia bleo
title_short Multivariate analysis of PRISMA optimized TLC image for predicting antioxidant activity and identification of contributing compounds from Pereskia bleo
title_full Multivariate analysis of PRISMA optimized TLC image for predicting antioxidant activity and identification of contributing compounds from Pereskia bleo
title_fullStr Multivariate analysis of PRISMA optimized TLC image for predicting antioxidant activity and identification of contributing compounds from Pereskia bleo
title_full_unstemmed Multivariate analysis of PRISMA optimized TLC image for predicting antioxidant activity and identification of contributing compounds from Pereskia bleo
title_sort multivariate analysis of prisma optimized tlc image for predicting antioxidant activity and identification of contributing compounds from pereskia bleo
publisher John Wiley and Sons Ltd
publishDate 2015
url http://irep.iium.edu.my/45032/
http://irep.iium.edu.my/45032/
http://irep.iium.edu.my/45032/
http://irep.iium.edu.my/45032/1/bmc3503_-_online.pdf
first_indexed 2023-09-18T21:04:03Z
last_indexed 2023-09-18T21:04:03Z
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