Literature DB >> 20667504

Scale-up model describing the impact of lubrication on tablet tensile strength.

Joseph Kushner1, Francis Moore.   

Abstract

Lubrication of 2:1 and 1:1 blends of microcrystalline cellulose and spray-dried lactose or dibasic calcium phosphate (DCP) with 0.33% or 1% magnesium stearate, as model free-flowing pharmaceutical formulations, was performed in rotary drum blenders. Blender process parameters examined in this study included type (Bin, V, and Turbula), volume (0.75-Quart to 200-L), fraction of headspace in the blender after the blend is loaded (30-70%), speed (6-202 rpm), and time (up to 225 min). Based on analysis of the experimental data, the following model for the impact of the lubrication process on tablet tensile strength at 0.85 solid fraction, TS(SF=0.85), was obtained, TS(SF=0.85)=TS(SF=0.85,0) [βexp(-γ×V(1/3)×F(headspace)×r)+(1-β)], where V is blender volume, F(headspace) is the headspace fraction, r is the number of revolutions (i.e. speed × time), TS(SF=0.85,0) is the initial tensile strength of the blend, β is the sensitivity of the blend to lubrication, and γ is the lubrication rate constant of the formulation. This model can be used to maintain tensile strength during scale-up, by ensuring that (V(1/3)F(headspace)r)(1)=(V(1/3)F(headspace)r)(2). The model also suggests that formulations with DCP are less sensitive to lubrication and more slowly lubricated than formulations with spray-dried lactose (i.e. smaller β and γ values).
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20667504     DOI: 10.1016/j.ijpharm.2010.07.033

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


  4 in total

1.  Challenges in detecting magnesium stearate distribution in tablets.

Authors:  Satu Lakio; Balázs Vajna; István Farkas; Henri Salokangas; György Marosi; Jouko Yliruusi
Journal:  AAPS PharmSciTech       Date:  2013-02-02       Impact factor: 3.246

2.  Impact of Vertical Blender Unit Parameters on Subsequent Process Parameters and Tablet Properties in a Continuous Direct Compression Line.

Authors:  Marius J Kreiser; Christoph Wabel; Karl G Wagner
Journal:  Pharmaceutics       Date:  2022-01-25       Impact factor: 6.321

3.  Scaling Tableting Processes from Compaction Simulator to Rotary Presses-Mind the Sub-Processes.

Authors:  Isabell Wünsch; Irene Friesen; Daniel Puckhaber; Thomas Schlegel; Jan Henrik Finke
Journal:  Pharmaceutics       Date:  2020-03-31       Impact factor: 6.321

Review 4.  Direct Compaction Drug Product Process Modeling.

Authors:  Alexander Russell; John Strong; Sean Garner; William Ketterhagen; Michelle Long; Maxx Capece
Journal:  AAPS PharmSciTech       Date:  2022-01-31       Impact factor: 3.246

  4 in total

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