Literature DB >> 21251963

Time-oriented experimental design method to optimize hydrophilic matrix formulations with gelation kinetics and drug release profiles.

Sangmun Shin1, Du Hyung Choi, Nguyen Khoa Viet Truong, Nam Ah Kim, Kyung Rok Chu, Seong Hoon Jeong.   

Abstract

A new experimental design methodology was developed by integrating the response surface methodology and the time series modeling. The major purposes were to identify significant factors in determining swelling and release rate from matrix tablets and their relative factor levels for optimizing the experimental responses. Properties of tablet swelling and drug release were assessed with ten factors and two default factors, a hydrophilic model drug (terazosin) and magnesium stearate, and compared with target values. The selected input control factors were arranged in a mixture simplex lattice design with 21 experimental runs. The obtained optimal settings for gelation were PEO, LH-11, Syloid, and Pharmacoat with weight ratios of 215.33 (88.50%), 5.68 (2.33%), 19.27 (7.92%), and 3.04 (1.25%), respectively. The optimal settings for drug release were PEO and citric acid with weight ratios of 191.99 (78.91%) and 51.32 (21.09%), respectively. Based on the results of matrix swelling and drug release, the optimal solutions, target values, and validation experiment results over time were similar and showed consistent patterns with very small biases. The experimental design methodology could be a very promising experimental design method to obtain maximum information with limited time and resources. It could also be very useful in formulation studies by providing a systematic and reliable screening method to characterize significant factors in the sustained release matrix tablet.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21251963     DOI: 10.1016/j.ijpharm.2011.01.013

Source DB:  PubMed          Journal:  Int J Pharm        ISSN: 0378-5173            Impact factor:   5.875


  1 in total

1.  Introduction of a mathematical model for optimizing the drug release in the patient's body.

Authors:  Mohammad Reza Nabatchian; Hamid Shahriari; Mona Shahriari
Journal:  Daru       Date:  2014-01-03       Impact factor: 3.117

  1 in total

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