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ORIGINAL ARTICLE
Year : 2015  |  Volume : 11  |  Issue : 42  |  Page : 166-172

Development of response surface methodology for optimization of extraction parameters and quantitative estimation of embelin from Embelia ribes Burm by high performance liquid chromatography


1 Department of Pharmacognosy and Phytochemistry, Faculty of Pharmacy, Jamia Hamdard, New Delhi, India
2 Department of Pharmacology, Faculty of Medicine, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
3 Department of Health Information Technology, Jeddah Community College, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
4 Department of Pharmaceutics, Faculty of Pharmacy, Jamia Hamdard, New Delhi, India
5 Department of Pharmacy, Oman Medical College, Muscat, Oman

Correspondence Address:
Dr. Aftab Ahmad
Department of Health Information Technology, Jeddah Community College, King Abdulaziz University, PO. Box 80283, Jeddah 21589
Kingdom of Saudi Arabia
Dr. Mohd Mujeeb
Department of Pharmacognosy and Phytochemistry, Faculty of Pharmacy, Jamia Hamdard, New Delhi - 110 062
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0973-1296.157722

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Background: Embelia ribes Burm is widely used medicinal plant for the treatment of different types of disorders in the Indian traditional systems of medicine. Objective: The present work was aimed to optimize the extraction parameters of embelin from E. ribes fruits and also to quantify embelin content in different extracts of the plant. Materials and Methods: Optimization of extraction parameters such as solvent: drug ratio, temperature and time were carried out by response surface methodology (RSM). Quantitative estimation of embelin in different extracts of E. ribes fruits was done through high performance liquid chromatography. Results: The optimal conditions determined for extraction of embelin through RSM were; extraction time (27.50 min), extraction temperature 45°C and solvent: drug ratio (8:1). Under the optimized conditions, the embelin yield (32.71%) was equitable to the expected yield (31.07%, P > 0.05). These results showed that the developed model is satisfactory and suitable for the extraction process of embelin. The analysis of variance showed a high goodness of model fit and the accomplishment of the RSM method for improving embelin extraction from the fruits of E. ribes. Conclusion: It is concluded that this may be a useful method for the extraction and quantitative estimation of embelin from the fruits of E. ribes.


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