Literature DB >> 8748329

Drug release from hydrophilic matrices. 1. New scaling laws for predicting polymer and drug release based on the polymer disentanglement concentration and the diffusion layer.

R T Ju1, P R Nixon, M V Patel.   

Abstract

Two scaling laws for predicting polymer and drug release profiles from hydrophilic matrices were developed. They were developed on the basis of the diffusion layer and the polymer disentanglement concentration, rho p,dis, the critical polymer concentration below which polymer chains detach off a gelled matrix that is undergoing simultaneous swelling and dissolution. The relation between rho p,dis and molecular weight, M1 for (hydroxypropyl)methylcellulose (HPMC) in water was established as rho p,dis (g/mL) varies M-0.8. This power-law relationship for rho p,dis, along with the diffusion layer adjacent to the gelled matrix, leads to the scaling law of mp(t)/mp(infinity) varies Meq-1.15, where mp(t)/mp(infinity) is the fractional HPMC release. The scaling law explains the observation that polymer and drug release rates decreased sharply with M at low M and approach limiting values at high M. Experimentally, mp(t)/mp(infinity) was found to scale with Meq as mp(t)/mp(infinity) varies Meq-0.93, where Meq is the equivalent matrix molecular weight. Moreover, fractional drug release, md(t)/md(infinity), followed Meq as md(t)/md(infinity) varies Meq-0.48. These two scaling laws imply that, if the release profiles are known for one composition, release profiles for other compositions can be predicted. The above two power laws lead to two master curves for mp(t)/mp(infinity) and md(t)/md(infinity), suggesting that the release mechanism for soluble drugs from HPMC matrices is independent of matrix compositions, presumably via a diffusion-controlled process. Limitations of the power laws are discussed.

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Year:  1995        PMID: 8748329     DOI: 10.1002/jps.2600841213

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  13 in total

1.  HPMC-matrices for controlled drug delivery: a new model combining diffusion, swelling, and dissolution mechanisms and predicting the release kinetics.

Authors:  J Siepmann; H Kranz; R Bodmeier; N A Peppas
Journal:  Pharm Res       Date:  1999-11       Impact factor: 4.200

2.  Prediction of the partition coefficients using QSPR modeling and simulation of paclitaxel release from the diffusion-controlled drug delivery devices.

Authors:  Anurag Pramanik; Sanjeev Garg
Journal:  Drug Deliv Transl Res       Date:  2018-10       Impact factor: 4.617

3.  Preparation and In Vitro-In Vivo Evaluation of Sustained-Release Matrix Pellets of Capsaicin to Enhance the Oral Bioavailability.

Authors:  Ya Zhang; Zhimin Huang; E Omari-Siaw; Shuang Lu; Yuan Zhu; Dongmei Jiang; Miaomiao Wang; Jiangnan Yu; Ximing Xu; Weiming Zhang
Journal:  AAPS PharmSciTech       Date:  2015-07-01       Impact factor: 3.246

4.  Hydrophilic matrices for controlled drug delivery: an improved mathematical model to predict the resulting drug release kinetics (the "sequential layer" model).

Authors:  J Siepmann; N A Peppas
Journal:  Pharm Res       Date:  2000-10       Impact factor: 4.200

5.  Rheological evaluation of inter-grade and inter-batch variability of sodium alginate.

Authors:  Shao Fu; Ankur Thacker; Diana M Sperger; Riccardo L Boni; Sachin Velankar; Eric J Munson; Lawrence H Block
Journal:  AAPS PharmSciTech       Date:  2010-11-24       Impact factor: 3.246

6.  Understanding and predicting drug delivery from hydrophilic matrix tablets using the "sequential layer" model.

Authors:  J Siepmann; A Streubel; N A Peppas
Journal:  Pharm Res       Date:  2002-03       Impact factor: 4.200

7.  Development and Optimization of Gastro-Retentive Controlled-Release Tablet of Calcium-Disodium Edentate and its In Vivo Gamma Scintigraphic Evaluation.

Authors:  Neeraj Kumar; Sandeep Soni; Thakuri Singh; Amit Kumar; Farhan Jalees Ahmad; Aseem Bhatnagar; Gaurav Mittal
Journal:  AAPS PharmSciTech       Date:  2015-03-14       Impact factor: 3.246

Review 8.  Budding Multi-matrix Technology-a Retrospective Approach, Deep Insights, and Future Perspectives.

Authors:  Anitha Sriram; Suma Tangirala; Srividya Atmakuri; Sajid Hoque; Sheela Modani; Saurabh Srivastava; Srushti Mahajan; Indrani Maji; Rahul Kumar; Dharmendra Khatri; Jitender Madan; Pankaj Kumar Singh
Journal:  AAPS PharmSciTech       Date:  2021-11-03       Impact factor: 3.246

9.  The impact of dose and solubility of additives on the release from HPMC matrix tablets--identifying critical conditions.

Authors:  Farhad Tajarobi; Susanna Abrahmsén-Alami; Magnus Hansen; Anette Larsson
Journal:  Pharm Res       Date:  2009-03-12       Impact factor: 4.200

10.  Inter-grade and inter-batch variability of sodium alginate used in alginate-based matrix tablets.

Authors:  Shao Fu; Ira S Buckner; Lawrence H Block
Journal:  AAPS PharmSciTech       Date:  2014-06-03       Impact factor: 3.246

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