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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| Format: | Article |
| Language: | English |
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John Wiley and Sons Ltd
2015
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| Online Access: | http://irep.iium.edu.my/45032/ http://irep.iium.edu.my/45032/1/bmc3503_-_online.pdf |
| _version_ | 1848782711700848640 |
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| 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. |
| building | IIUM Repository |
| collection | Online Access |
| 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 |
| first_indexed | 2025-11-14T16:09:47Z |
| format | Article |
| id | iium-45032 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T16:09:47Z |
| publishDate | 2015 |
| publisher | John Wiley and Sons Ltd |
| recordtype | eprints |
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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 |
| 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 |
| title | 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_short | 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 |
| topic | QD Chemistry |
| 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 |