FORMULATION AND EVALUATION OF PHYTOSOMAL GEL OF MORINDA CITRIFOLIA EXTRACT FOR ENHANCED TOPICAL DELIVERY
Keywords:
Spread ability, F1 Formulation, Morinda Citrifolia, Phytosomes, DrugAbstract
The study aimed to enhance the solubility, bioavailability, and skin permeation of Morinda citrifolia extract by formulating it into phytosomes using the antisolvent precipitation technique and incorporating these into topical gels. The plant extract was initially prepared via Soxhlet extraction using ethanol, followed by rotary evaporation. Phytosomes were formed at varying molar ratios of drug to phospholipid (1:1 to 1:7) and characterized by optical microscopy, entrapment efficiency, drug content, solubility, and in-vitro drug diffusion studies. Among all formulations, F1 (1:1 ratio) exhibited optimal characteristics, including the highest drug entrapment efficiency (89.87%), drug content (88.43%), and cumulative drug release (91.23% in 10 hours). This optimized phytosomal complex was then incorporated into Carbopol 934-based gels, evaluated for pH, homogeneity, viscosity, spreadability, extrudability, and in-vitro release. The F1 gel formulation showed excellent drug content (90.29%), spreadability (4.1 cm), and cumulative drug release (89.35% in 12 hours), with sustained release following Higuchi kinetics and a non-Fickian diffusion mechanism. Stability studies confirmed the formulation’s physical and chemical stability over 45 days. Overall, the phytosomal gel of Morinda citrifolia demonstrates promising potential for enhanced dermal drug delivery.
References
• Yadav, M., Bhatia, V. J., Doshi, G., & Shastri, K. (2014). Novel techniques in herbal drug delivery systems. Int J Pharm Sci Rev Res, 28(2), 83-9.
• Bhokare, S. G., Dongaonkar, C. C., Lahane, S. V., Salunke, P. B., Sawale, V. S., & Thombare, M. S. (2016). Herbal novel drug delivery: A review. World Journal of Pharmacy and Pharmaceutical Sciences, 5(8), 593-611.
• Anju Dhiman, A. D., Arun Nanda, A. N., & Sayeed Ahmad, S. A. (2012). Novel herbal drug delivery system (NHDDS): the need of hour.
• Ravi, G. S., Chandur, V., Shabaraya, A. R., & Sanjay, K. (2015). Phytosomes: An advanced herbal drug delivery system.
• Amit, G., Ashawat, M. S., Shailendra, S., & Swarnlata, S. (2007). Phytosome: a novel approach towards functional cosmetics. Journal of Plant Sciences, 2(6), 644-649.
• Matias, D., Roque, L., de Fátima Simões, M., Lanza, A. M. D., Rijo, P., & Reis, C. P. (2015). Plectranthus madagascariensis phytosomes: formulation optimization. Default journal.
• Allam, A. N., Komeil, I. A., & Abdallah, O. Y. (2015). Curcumin phytosomal softgel formulation: Development, optimization and physicochemical characterization. Acta Pharmaceutica, 65(3), 285-297.
• Thani, W., Vallisuta, O., Siripong, P., & Ruangwises, N. (2010). Anti-proliferative and antioxidative activities of Thai noni/Yor (Morinda citrifolia Linn.) leaf extract. Southeast Asian J Trop Med Public Health, 41(2), 482-489.
• Rajashekar, K., Sundari, P. P., & Srinivas, P. (2015). Development of a topical phytosomal gel of Wood fordia fruticosa. WJPPS, 4(11), 919-31.
• Keerthi, B., Pingali, P. S., & Srinivas, P. (2014). Formulation and evaluation of capsules of ashwagandha phytosomes. Int J Pharm Sci Rev Res, 29(2), 138-142.
• Singh, R. P., & Ramakant Narke, R. N. (2015). Preparation and evaluation of phytosome of lawsone.
• Sangeeta, A., Garg, G., Asija, R., & Patel, C. (2012). Formulation And Evaluation of Prosopis Cineraria Druce Phytosomes. Deccan J. Pharmaceutics &Cosmetoloy, 3(3), 1-12.
• Pingali, P. S., Srinivas, P., & Reddy, B. M. (2015). Miconazole loaded novel phytosomal topical gels. World J Pharm Sci, 4(10), 2305-2320.

Downloads
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2023 Lalita Sharma, Dr. Ragini Bundela, Dr. Karunakar Shukla, Dr. Neha Jain

This work is licensed under a Creative Commons Attribution 4.0 International License.
All content of this journal: Copyright © 2023 American Journal of Medical Science and Chemical Research (Journaloms), its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open-access content, the Creative Commons licensing terms apply.