Lubrication empirical model to predict tensile strength of directly compressed powder blends-Reference-Cited by-同舟云学术

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Lubrication empirical model to predict tensile strength of directly compressed powder blends

Published:2021-01 Issue: Volume:592 Page:119980
ISSN:0378-5173
Container-title:International Journal of Pharmaceutics
language:en
Short-container-title:International Journal of Pharmaceutics

Author:

Nassar Joelle,Williams Ben^ORCID,Davies Conrad,Lief Kevin,Elkes Richard

Publisher

Elsevier BV

Subject

Pharmaceutical Science

Reference36 articles.

1. Batch variation of magnesium stearate and its effect on the dissolution rate of salicylic acid form solid dosage forms;Billany;Drug Dev. Ind. Pharm.,1982

2. The effect of magnesium stearate admixing in different types of laboratory and industrial mixers on tablet crushing strength;Bolhuis;Drug Dev. Ind. Pharm.,1987

3. The effect of the variability in the physical and chemical properties of magnesium stearate on the properties of compressed tablets;Dansereau;Drug Dev. Ind. Pharm.,1987

4. Effect of moisture and magnesium stearate concentration on flow properties of cohesive granular materials;Faqih;Int. J. Pharm.,2007

5. Mechanistic study of the effect of roller compaction and lubricant on tablet mechanical strength;He;J. Pharm. Sci.,2007

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1. Empirical Model Variability: Developing a new global optimisation approach to populate compression and compaction mixture rules;International Journal of Pharmaceutics;2024-09

2. A modified Kushner-Moore approach to characterising small-scale blender performance impact on tablet compaction;International Journal of Pharmaceutics;2024-06

3. Targeting fidelity of pharmaceutical systems models by optimization of precision on parameter estimates;Computers & Chemical Engineering;2024-02

4. Transferable mini-blender performance impact on continuous direct compaction tablets using a modified Kushner-Moore approach.;Computer Aided Chemical Engineering;2024

5. A general procedure for the evaluation of the prediction fidelity of pharmaceutical systems models;Chemical Engineering Science;2023-10

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