Literature DB >> 34209261

Process Modeling and Simulation of Tableting-An Agent-Based Simulation Methodology for Direct Compression.

Niels Lasse Martin1,2, Ann Kathrin Schomberg2,3, Jan Henrik Finke2,3, Tim Gyung-Min Abraham1,2, Arno Kwade2,3, Christoph Herrmann1,2.   

Abstract

In pharmaceutical manufacturing, the utmost aim is reliably producing high quality products. Simulation approaches allow virtual experiments of processes in the planning phase and the implementation of digital twins in operation. The industrial processing of active pharmaceutical ingredients (APIs) into tablets requires the combination of discrete and continuous sub-processes with complex interdependencies regarding the material structures and characteristics. The API and excipients are mixed, granulated if required, and subsequently tableted. Thereby, the structure as well as the properties of the intermediate and final product are influenced by the raw materials, the parametrized processes and environmental conditions, which are subject to certain fluctuations. In this study, for the first time, an agent-based simulation model is presented, which enables the prediction, tracking, and tracing of resulting structures and properties of the intermediates of an industrial tableting process. Therefore, the methodology for the identification and development of product and process agents in an agent-based simulation is shown. Implemented physical models describe the impact of process parameters on material structures. The tablet production with a pilot scale rotary press is experimentally characterized to provide calibration and validation data. Finally, the simulation results, predicting the final structures, are compared to the experimental data.

Entities:  

Keywords:  agent-based modeling and simulation; process modeling and simulation; product structures and characteristics; tableting

Year:  2021        PMID: 34209261     DOI: 10.3390/pharmaceutics13070996

Source DB:  PubMed          Journal:  Pharmaceutics        ISSN: 1999-4923            Impact factor:   6.321


  8 in total

1.  Analysis of the compression mechanics of pharmaceutical agglomerates of different porosity and composition using the Adams and Kawakita equations.

Authors:  F Nicklasson; G Alderborn
Journal:  Pharm Res       Date:  2000-08       Impact factor: 4.200

2.  Prediction of the compressibility of complex mixtures of pharmaceutical powders.

Authors:  V Busignies; V Mazel; H Diarra; P Tchoreloff
Journal:  Int J Pharm       Date:  2012-07-01       Impact factor: 5.875

Review 3.  Process modeling in the pharmaceutical industry using the discrete element method.

Authors:  William R Ketterhagen; Mary T am Ende; Bruno C Hancock
Journal:  J Pharm Sci       Date:  2009-02       Impact factor: 3.534

4.  Quality by design approach: application of artificial intelligence techniques of tablets manufactured by direct compression.

Authors:  Buket Aksu; Anant Paradkar; Marcel de Matas; Ozgen Ozer; Tamer Güneri; Peter York
Journal:  AAPS PharmSciTech       Date:  2012-09-06       Impact factor: 3.246

5.  Determination of tablet strength by the diametral-compression test.

Authors:  J T Fell; J M Newton
Journal:  J Pharm Sci       Date:  1970-05       Impact factor: 3.534

6.  The Challenge of Die Filling in Rotary Presses-A Systematic Study of Material Properties and Process Parameters.

Authors:  Ann Kathrin Schomberg; Arno Kwade; Jan Henrik Finke
Journal:  Pharmaceutics       Date:  2020-03-10       Impact factor: 6.321

Review 7.  The Future of Pharmaceutical Manufacturing Sciences.

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

8.  Impact of Particle and Equipment Properties on Residence Time Distribution of Pharmaceutical Excipients in Rotary Tablet Presses.

Authors:  Daniel Puckhaber; Sebastian Eichler; Arno Kwade; Jan Henrik Finke
Journal:  Pharmaceutics       Date:  2020-03-21       Impact factor: 6.321

  8 in total
  2 in total

1.  Modelling the Compaction Step of a Platform Direct Compression Process.

Authors:  Raghu V G Peddapatla; Conor Slevin; Gerard Sheridan; Caoimhe Beirne; Shrikant Swaminathan; Ivan Browning; Clare O'Reilly; Zelalem A Worku; David Egan; Stephen Sheehan; Abina M Crean
Journal:  Pharmaceutics       Date:  2022-03-23       Impact factor: 6.525

2.  Modeling of High-Density Compaction of Pharmaceutical Tablets Using Multi-Contact Discrete Element Method.

Authors:  Kostas Giannis; Carsten Schilde; Jan Henrik Finke; Arno Kwade
Journal:  Pharmaceutics       Date:  2021-12-18       Impact factor: 6.321

  2 in total

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