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A compressibility based model for predicting the tensile strength of directly compressed pharmaceutical powder mixtures.
Int J Pharm. 2017 Oct 05; 531(1):215-224.IJ

Abstract

A new model to predict the compressibility and compactability of mixtures of pharmaceutical powders has been developed. The key aspect of the model is consideration of the volumetric occupancy of each powder under an applied compaction pressure and the respective contribution it then makes to the mixture properties. The compressibility and compactability of three pharmaceutical powders: microcrystalline cellulose, mannitol and anhydrous dicalcium phosphate have been characterised. Binary and ternary mixtures of these excipients have been tested and used to demonstrate the predictive capability of the model. Furthermore, the model is shown to be uniquely able to capture a broad range of mixture behaviours, including neutral, negative and positive deviations, illustrating its utility for formulation design.

Authors+Show Affiliations

Pharmaceutical Technology & Development, AstraZeneca, Charter Way, Macclesfield, SK10 2NA, UK. Electronic address: gavin.reynolds@astrazeneca.com.Pharmaceutical Technology & Development, AstraZeneca, Charter Way, Macclesfield, SK10 2NA, UK.Pharmaceutical Technology & Development, AstraZeneca, Charter Way, Macclesfield, SK10 2NA, UK.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

28823886

Citation

Reynolds, Gavin K., et al. "A Compressibility Based Model for Predicting the Tensile Strength of Directly Compressed Pharmaceutical Powder Mixtures." International Journal of Pharmaceutics, vol. 531, no. 1, 2017, pp. 215-224.
Reynolds GK, Campbell JI, Roberts RJ. A compressibility based model for predicting the tensile strength of directly compressed pharmaceutical powder mixtures. Int J Pharm. 2017;531(1):215-224.
Reynolds, G. K., Campbell, J. I., & Roberts, R. J. (2017). A compressibility based model for predicting the tensile strength of directly compressed pharmaceutical powder mixtures. International Journal of Pharmaceutics, 531(1), 215-224. https://doi.org/10.1016/j.ijpharm.2017.08.075
Reynolds GK, Campbell JI, Roberts RJ. A Compressibility Based Model for Predicting the Tensile Strength of Directly Compressed Pharmaceutical Powder Mixtures. Int J Pharm. 2017 Oct 5;531(1):215-224. PubMed PMID: 28823886.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - A compressibility based model for predicting the tensile strength of directly compressed pharmaceutical powder mixtures. AU - Reynolds,Gavin K, AU - Campbell,Jacqueline I, AU - Roberts,Ron J, Y1 - 2017/08/18/ PY - 2017/05/08/received PY - 2017/07/28/revised PY - 2017/08/12/accepted PY - 2017/8/22/pubmed PY - 2018/1/11/medline PY - 2017/8/22/entrez KW - Compactability KW - Compressibility KW - Direct compression KW - Formulation design KW - Mixture KW - Prediction KW - Tensile strength SP - 215 EP - 224 JF - International journal of pharmaceutics JO - Int J Pharm VL - 531 IS - 1 N2 - A new model to predict the compressibility and compactability of mixtures of pharmaceutical powders has been developed. The key aspect of the model is consideration of the volumetric occupancy of each powder under an applied compaction pressure and the respective contribution it then makes to the mixture properties. The compressibility and compactability of three pharmaceutical powders: microcrystalline cellulose, mannitol and anhydrous dicalcium phosphate have been characterised. Binary and ternary mixtures of these excipients have been tested and used to demonstrate the predictive capability of the model. Furthermore, the model is shown to be uniquely able to capture a broad range of mixture behaviours, including neutral, negative and positive deviations, illustrating its utility for formulation design. SN - 1873-3476 UR - https://www.unboundmedicine.com/medline/citation/28823886/A_compressibility_based_model_for_predicting_the_tensile_strength_of_directly_compressed_pharmaceutical_powder_mixtures_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0378-5173(17)30782-2 DB - PRIME DP - Unbound Medicine ER -