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DOI 10.1371/journal.pone.0290223

Медицинская библиотека · PloS one · 2023

Exploring the gelling properties of Plantago ovata-based Arabinoxylan: Fabrication and optimization of a topical emulgel using response surface methodology.

Mahmood Arshad, Erum Alia, Tulain Ume Ruqia, Malik Nadia Shamshad, Saleem Aneeqa, Alqahtani Mohammed S, Malik Muhammad Zubair, Siddiqui Mahwish, Safdar Asif, Malik Abdul

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Аннотация

Prime objective of the current research was to develop a stable nimesulide emulgel with the help of arabinoxylan, a natural gelling agent extracted from Plantago ovata. The response surface methodology was used by a Design Expert 10 software to formulate and optimize the emulgel. The experimental design approach evaluated the impact of independent and dependent variables. Independent variables were different concentrations of arabinoxylan, span 80 and tween 20, whereas, dependent variables were viscosity, pH, and content uniformity. FTIR demonstrated the compatibility of nimesulide with the excipients. Stability study indicated no phase separation and no change in pH for formulation F1, F3 and F4. The negative values of zeta potential revealed the excellent stability of emulgel. Viscosity, spreadability and extrudability values were in desired range. Ex-vivo permeation study illustrated 86%, 55% and 66% release of the drug over a period of 24 h from the formulations F1, F3 and F4, respectively. Analgesic effect of the optimized emulgel was significantly higher in test group as compared to control and did not produce any sort of irritation. Therefore, it can be concluded that the newly developed emulgel based on arabinoxylan, as gelling agent, appear to be an effective drug delivery system.

Для цитирования: Mahmood Arshad, Erum Alia, Tulain Ume Ruqia, Malik Nadia Shamshad, Saleem Aneeqa, Alqahtani Mohammed S, Malik Muhammad Zubair, Siddiqui Mahwish, Safdar Asif, Malik Abdul. Exploring the gelling properties of Plantago ovata-based Arabinoxylan: Fabrication and optimization of a topical emulgel using response surface methodology.. PloS one. 2023. DOI: 10.1371/journal.pone.0290223.

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