Literature DB >> 30359583

The Wall Friction Properties of Pharmaceutical Powders, Blends, and Granulations.

Bruno C Hancock1.   

Abstract

Data from wall friction testing and physical property characterization of over 100 pharmaceutical powders, blends, and granulations have been analyzed. The analyses focused on data for stainless steel surfaces with the most common finishes for pharmaceutical powder processing equipment, either a 2B cold rolled mill finish or an electropolished 2B surface. Active pharmaceutical ingredients exhibited the highest friction against these surfaces, whereas active granulations exhibited the least friction. The typical (median) wall friction angle for an active blend on 2B stainless steel was 22° versus 18° for an active granulation. Typical wall friction values on electropolished 2B surfaces were about 17° and 12° for active blends and granulations, respectively. Blends typically exhibited larger wall friction angles than the granulations suggesting that simple blends will usually require hoppers or bins with steeper walls to achieve mass flow. Lower wall friction angles were consistently observed against the smoother electropolished 2B surface, and, thus, the wall surface finish should be considered when designing bins and hoppers for use with pharmaceutical powders. The wall friction angles of blends and granulations did not show any definite trend as the percentage of active pharmaceutical ingredient increased.
Copyright © 2019 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  excipients; formulation; mechanical properties; physical characterization; powder technology

Mesh:

Substances:

Year:  2018        PMID: 30359583     DOI: 10.1016/j.xphs.2018.10.019

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  2 in total

1.  Reduced Fine API Agglomeration After Dry Coating for Enhanced Blend Uniformity and Processability of Low Drug Loaded Blends.

Authors:  Sangah S Kim; Chelsea Castillo; Muhammad Sayedahmed; Rajesh N Davé
Journal:  Pharm Res       Date:  2022-07-26       Impact factor: 4.580

Review 2.  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

  2 in total

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