Literature DB >> 23931031

Study the effect of formulation variables on drug release from hydrophilic matrix tablets of milnacipran and prediction of in-vivo plasma profile.

Gautam Singhvi1, Abhishek Shah, Nilesh Yadav, Ranendra N Saha.   

Abstract

The objective of this study was to design oral controlled release (CR) matrix tablets of Milnacipran using hydroxypropyl methylcellulose (HPMC) as the retardant polymer and to study the effect of various formulation factors such as polymer proportion, polymer viscosity, compression force and also the pH of dissolution medium on the in-vitro release of drug. Two viscosity grade of HPMC (15 K and 100 K) were used in the proportion of 50, 100, 150 and 200 mg per CR tablet. In-vitro release rate was characterized using various model dependent approaches and model independent dissolution parameters [T50% and T80% dissolution time, mean dissolution time (MDT), mean residence time (MRT), dissolution efficiency (DE)]. The statistical analysis was performed on all the model independent approaches using student t test and ANOVA. Results were found that as polymer concentration (50 mg to 200 mg) and viscosity (15 K to 100 K) increases, the MDT, MRT, T50% and T80% extended significantly. Drug release rate was found to be significantly different at different hardness. In-vivo human plasma concentration--time profile was predicted from in-vitro release data using convolution method. Predicted human pharmacokinetic parameters shows that the design CR formulation has capability to sustained the plasma drug level of milnacipran.

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Year:  2013        PMID: 23931031     DOI: 10.3109/10837450.2013.823993

Source DB:  PubMed          Journal:  Pharm Dev Technol        ISSN: 1083-7450            Impact factor:   3.133


  2 in total

1.  Evaluation of Matrix Tablets Based on Eudragit®E100/Carbopol®971P Combinations for Controlled Release and Improved Compaction Properties of Water Soluble Model Drug Paracetamol.

Authors:  Wasfy M Obeidat; Ali Nokhodchi; Hatim Alkhatib
Journal:  AAPS PharmSciTech       Date:  2015-02-28       Impact factor: 3.246

2.  Hydrogel-based matrices for controlled drug delivery of etamsylate: Prediction of in-vivo plasma profiles.

Authors:  Soha M El-Masry; Sally A Helmy
Journal:  Saudi Pharm J       Date:  2020-11-06       Impact factor: 4.330

  2 in total

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