Literature DB >> 20096760

Tableting process optimisation with the application of fuzzy models.

Ales Belic1, Igor Skrjanc, Damjana Zupancic Bozic, Franc Vrecer.   

Abstract

A quality-by-design (QbD) principle, including process analytical technology, is becoming the principal idea in drug development and manufacturing. The implementation of QbD into product development and manufacturing requires larger resources, both human and financial, however, large-scale production can be established in a more cost-effective manner and with improved product quality. The objective of the present work was to study the influence of particle size distribution in powder mixture for tableting, and the settings of the compression parameters on the tablet quality described by the capping coefficient, standard deviations of mass and crushing strength of compressed tablets. Fuzzy models were used for modelling of the effects of the particle size distribution and the tableting machine settings on the tablet quality. The results showed that the application of mathematical models, based on the contemporary routinely measured quantities, can significantly improve the trial-and-error procedures. Copyright 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20096760     DOI: 10.1016/j.ijpharm.2010.01.023

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


  3 in total

1.  Application of physicochemical properties and process parameters in the development of a neural network model for prediction of tablet characteristics.

Authors:  Tamás Sovány; Kitti Papós; Péter Kása; Ilija Ilič; Stane Srčič; Klára Pintye-Hódi
Journal:  AAPS PharmSciTech       Date:  2013-02-15       Impact factor: 3.246

2.  From Heuristic to Mathematical Modeling of Drugs Dissolution Profiles: Application of Artificial Neural Networks and Genetic Programming.

Authors:  Aleksander Mendyk; Sinan Güres; Renata Jachowicz; Jakub Szlęk; Sebastian Polak; Barbara Wiśniowska; Peter Kleinebudde
Journal:  Comput Math Methods Med       Date:  2015-05-26       Impact factor: 2.238

Review 3.  The Future of Pharmaceutical Manufacturing Sciences.

Authors:  Jukka Rantanen; Johannes Khinast
Journal:  J Pharm Sci       Date:  2015-08-17       Impact factor: 3.534

  3 in total

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