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

• 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: QD Chemistry
• Online Access: http://irep.iium.edu.my/45032/1/bmc3503_-_online.pdf; http://irep.iium.edu.my/45032/; http://onlinelibrary.wiley.com/doi/10.1002/bmc.3503/
• Institution: Universiti Islam Antarabangsa Malaysia

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...