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Optimization and Quest of HPMC loaded Stavudine Controlled Release Dosage Development by Central Composite Design utilizing Reduced Factorial Screening Technique
Gangolu, Jyothsna; Balaiah, Sandyapakula; Nandi, Sisir; Roy, Harekrishna.
Affiliation
  • Gangolu, Jyothsna; Acharya Nagarjuna University. Nirmala College of pharmacy. Department of Pharmaceutics. Andhra Pradesh. IN
  • Balaiah, Sandyapakula; Acharya Nagarjuna University. Nirmala College of pharmacy. Department of Pharmaceutics. Andhra Pradesh. IN
  • Nandi, Sisir; Uttarakhand Technical University. Global Institute of Pharmaceutical Education and Research. Department of pharmaceutical chemistry. Uttarakhand. IN
  • Roy, Harekrishna; Acharya Nagarjuna University. Nirmala College of pharmacy. Department of Pharmaceutics. Andhra Pradesh. IN
Braz. J. Pharm. Sci. (Online) ; 58: e201144, 2022. tab, graf
Article in En | LILACS | ID: biblio-1420507
Responsible library: BR40.1
Localization: BR40.1
ABSTRACT
Abstract The current research focused on screening and finding the significant independent variables in stavudine loaded tablet, followed by optimizing the best formulation using central composite design. The objective of the study to develop stavudine loaded controlled release tablet utilizing reduced factorial design, followed by optimization technique as well as characterization of prepared tablets. Preliminary trial batches were prepared using different grades of hydroxypropyl methylcellulose. The resolution-IV reduced factorial design was selected to screen the significant independent variables in the dosage form design. A total number of eight runs were prepared and responses were recorded. The signified factors identified by half-normal and Pareto chart. The prepared tablets are evaluated for various physiochemical characterizations. Three dependent responses such as hardness, dissolution at 6 hour and 12 hours are considered in optimization process. Later on, drug-polymer interaction study was carried out. The principal of the study design based on finding the best formulation with prefixed set parameter values utilizing the concept of screening technique. It observed that HPMC K15M (57.18 %), HPMC K100 (66.32 %) and PVP K30 (7.97 %) as best composition in a formulation batch would fulfill the predetermined parameter with specific values.
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Full text: 1 Collection: 01-internacional Database: LILACS Main subject: Stavudine / Process Optimization / Hypromellose Derivatives / Drug Liberation Type of study: Diagnostic_studies / Prognostic_studies / Screening_studies Language: En Journal: Braz. J. Pharm. Sci. (Online) Journal subject: Farmacologia / Terapˆutica / Toxicologia Year: 2022 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: LILACS Main subject: Stavudine / Process Optimization / Hypromellose Derivatives / Drug Liberation Type of study: Diagnostic_studies / Prognostic_studies / Screening_studies Language: En Journal: Braz. J. Pharm. Sci. (Online) Journal subject: Farmacologia / Terapˆutica / Toxicologia Year: 2022 Document type: Article Affiliation country:
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