Literature DB >> 14602187

Handling of computational in vitro/in vivo correlation problems by Microsoft Excel: III. Convolution and deconvolution.

Frieder Langenbucher1.   

Abstract

Convolution and deconvolution are the classical in-vitro-in-vivo correlation tools to describe the relationship between input and weighting/response in a linear system, where input represents the drug release in vitro, weighting/response any body response in vivo. While functional treatment, e.g. in terms of polyexponential or Weibull distribution, is more appropriate for general survey or prediction, numerical algorithms are useful for treating actual experimental data. Deconvolution is not considered an algorithm by its own, but the inversion of a corresponding convolution. MS Excel is shown to be a useful tool for all these applications.

Mesh:

Year:  2003        PMID: 14602187     DOI: 10.1016/s0939-6411(03)00140-1

Source DB:  PubMed          Journal:  Eur J Pharm Biopharm        ISSN: 0939-6411            Impact factor:   5.571


  7 in total

1.  In vivo bioequivalence and in vitro similarity factor (f2) for dissolution profile comparisons of extended release formulations: how and when do they match?

Authors:  John Z Duan; Kareen Riviere; Patrick Marroum
Journal:  Pharm Res       Date:  2011-02-02       Impact factor: 4.200

2.  Characterising Drug Release from Immediate-Release Formulations of a Poorly Soluble Compound, Basmisanil, Through Absorption Modelling and Dissolution Testing.

Authors:  Cordula Stillhart; Neil J Parrott; Marc Lindenberg; Pascal Chalus; Darren Bentley; Anikó Szepes
Journal:  AAPS J       Date:  2017-02-24       Impact factor: 4.009

3.  Bioavailability, bioequivalence, and in vitro-in vivo correlation of oxybutynin transdermal patch in rabbits.

Authors:  Achyut Khire; Pradeep Vavia
Journal:  Drug Deliv Transl Res       Date:  2014-04       Impact factor: 4.617

4.  Effect of crystal size on the in vitro dissolution and oral absorption of nitrendipine in rats.

Authors:  Dengning Xia; Fude Cui; Hongze Piao; Dongmei Cun; Hongyu Piao; Yanbo Jiang; Mei Ouyang; Peng Quan
Journal:  Pharm Res       Date:  2010-06-29       Impact factor: 4.200

5.  Development of a New Type of Prolonged Release Hydrocodone Formulation Based on Egalet® ADPREM Technology Using In Vivo-In Vitro Correlation.

Authors:  Pernille H Hemmingsen; Anne-Mette Haahr; Christine Gunnergaard; Jean-Michel Cardot
Journal:  Pharmaceutics       Date:  2011-03-09       Impact factor: 6.321

6.  Development of cryptotanshinone-loaded pellets for angina chronotherapy: In vitro/in vivo prediction and evaluation.

Authors:  Zhenghua Li; Shuangshuang Zhang; Hongxiang Yan; Jianping Liu
Journal:  Asian J Pharm Sci       Date:  2018-03-12       Impact factor: 6.598

7.  One and Two-Step In Vitro-In Vivo Correlations Based on USP IV Dynamic Dissolution Applied to Four Sodium Montelukast Products.

Authors:  Mercedes Prieto-Escolar; Juan J Torrado; Covadonga Álvarez; Alejandro Ruiz-Picazo; Marta Simón-Vázquez; Carlos Govantes; Jesús Frias; Alfredo García-Arieta; Isabel Gonzalez-Alvarez; Marival Bermejo
Journal:  Pharmaceutics       Date:  2021-05-11       Impact factor: 6.321

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.