Literature DB >> 1522493

Novel approach to estimate quality of binary random powder mixtures: samples of constant volume. I: Derivation of equation.

H Egermann1, P Frank.   

Abstract

An equation of the quality of binary random mixtures that applies to powder samples of constant bulk volume was derived from the binomial distribution. In contrast to the Stange-Poole equation for samples of constant mass, this approach can also be used for constituents with large differences in particle size and in bulk density. The validity of this equation was verified with tablets directly compressed from mixtures composed of equal mass proportions of sucrose [volume-weighted/volume-number mean diameter (dv), 504 microns] as the coarse ingredient (A) and of a microcrystalline cellulose (Avicel PH 101)-talc mixture (dv, 60 microns) as the fine constituent (B). Because of the difference in the bulk densities of A and B, the equation estimated a coefficient of the random content variation, which for A was double that for B. The content variations found with the tablets were in excellent agreement with the calculated values and reflected the differences predicted from theory. The Stange-Poole equation yielded identical values of the content variations of A and B, which is in contrast to the experimental results.

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Year:  1992        PMID: 1522493     DOI: 10.1002/jps.2600810617

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


  3 in total

1.  Evaluation of the Poisson distribution for estimating the quality of drug/diluent random powder mixtures. I. High particle size of the drug constituent.

Authors:  H Egermann; P Frank; A Krumphuber
Journal:  Pharm Res       Date:  1992-03       Impact factor: 4.200

2.  Precise Dosing of Pramipexole for Low-Dosed Filament Production by Hot Melt Extrusion Applying Various Feeding Methods.

Authors:  Rebecca Chamberlain; Hellen Windolf; Simon Geissler; Julian Quodbach; Jörg Breitkreutz
Journal:  Pharmaceutics       Date:  2022-01-17       Impact factor: 6.321

Review 3.  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

  3 in total

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