Literature DB >> 33161037

Residence time distribution modelling and in line monitoring of drug concentration in a tablet press feed frame containing dead zones.

Shinji Tanimura1, Ravendra Singh2, Andrés D Román-Ospino3, Marianthi Ierapetritou4.   

Abstract

The presence of a 'significant dead zone' in any continuous manufacturing equipment may affect the product quality and need to be investigated systematically. Dead zone will affect the residence time distribution (RTD) of continuous manufacturing and thus the mixing and product quality. Tablet press (feed frame) is one of unit operations that directly influence the critical quality attributes (CQA's). However, currently no systematic methods and tools are available to characterize and model the feed frame dead zone. In this manuscript, the RTD of the tablet press feed frame containing dead zone is investigated. Step-change experiments revealed that the feed frame could be expressed as a traditional continuous stirred tank model. The volume fractions of the dead zones are determined experimentally as well as using RTD model. In addition, an in-line NIR method for drug concentration monitoring inside the feed frame is also developed. The developed NIR calibration model enables to monitor the drug concentration precisely and detect the variation immediately with the probe positioned right above the left paddle. It is also found that the feed frame paddle speed slightly affects the predictive accuracy of NIR, while the die disc speed has no significant effect.
Copyright © 2020. Published by Elsevier B.V.

Keywords:  Continuous; Dead zone; Feed frame; NIR; Pharmaceutical; RTD; Residence time distribution

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Year:  2020        PMID: 33161037     DOI: 10.1016/j.ijpharm.2020.120048

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


  1 in total

1.  Testing the Limits of a Portable NIR Spectrometer: Content Uniformity of Complex Powder Mixtures Followed by Calibration Transfer for In-Line Blend Monitoring.

Authors:  Tibor Casian; Alexandru Gavan; Sonia Iurian; Alina Porfire; Valentin Toma; Rares Stiufiuc; Ioan Tomuta
Journal:  Molecules       Date:  2021-02-20       Impact factor: 4.411

  1 in total

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