ORCID Profile
0000-0003-0379-3686
Current Organisation
Military Institute of Science and Technology
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Publisher: Progressive Science Publications
Date: 20-01-2015
Publisher: Wiley
Date: 06-2015
DOI: 10.1002/BMC.3503
Abstract: 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 s le. An alternative method to predict the antioxidant activity of a new s le of P. bleo leaves has been developed.
Publisher: Elsevier BV
Date: 12-2013
Publisher: Elsevier BV
Date: 08-2013
Publisher: Informa UK Limited
Date: 03-07-2014
Publisher: Elsevier BV
Date: 03-2014
Publisher: Elsevier BV
Date: 09-2016
Publisher: Elsevier BV
Date: 2015
Publisher: Elsevier BV
Date: 2014
Location: No location found
Location: Malaysia
No related grants have been discovered for Mokhlesur M Rahman.