TY - JOUR
T1 - Dependence of Friability on Tablet Mechanical Properties and a Predictive Approach for Binary Mixtures
AU - Paul, Shubhajit
AU - Sun, Changquan Calvin
PY - 2017/12/1
Y1 - 2017/12/1
N2 - Purpose: To systematically assess the dependence of friability on tablet mechanical properties, compaction pressure, and tablet porosity. Methods: Several common excipients and their mixtures exhibiting diverse mechanical properties were analyzed. Tablet elastic modulus, hardness, brittleness, porosity, and tensile strength were determined using standard techniques and then were correlated to tablet friability both individually and as a group to derive a universal model. Results: Viscoelastic starch exhibits the highest friability followed by brittle excipients (mannitol, DCPA, and LM) and then ductile excipients (HPC and MCC). A reasonably accurate model for predicting pharmaceutically relevant range of friability, up to 3%, of binary mixtures is presented based on friability of individual components. In addition, a multivariate model between friability and different mechanical parameters was developed, based on which the weight loss propensity of tablets may be predicted. Conclusions: The experimental findings and predictive model are useful for expedited development and optimization of tablet formulation using a minimum amount of API.
AB - Purpose: To systematically assess the dependence of friability on tablet mechanical properties, compaction pressure, and tablet porosity. Methods: Several common excipients and their mixtures exhibiting diverse mechanical properties were analyzed. Tablet elastic modulus, hardness, brittleness, porosity, and tensile strength were determined using standard techniques and then were correlated to tablet friability both individually and as a group to derive a universal model. Results: Viscoelastic starch exhibits the highest friability followed by brittle excipients (mannitol, DCPA, and LM) and then ductile excipients (HPC and MCC). A reasonably accurate model for predicting pharmaceutically relevant range of friability, up to 3%, of binary mixtures is presented based on friability of individual components. In addition, a multivariate model between friability and different mechanical parameters was developed, based on which the weight loss propensity of tablets may be predicted. Conclusions: The experimental findings and predictive model are useful for expedited development and optimization of tablet formulation using a minimum amount of API.
KW - friability
KW - mechanical properties
KW - mixture
KW - modelling
KW - tablet
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U2 - 10.1007/s11095-017-2273-5
DO - 10.1007/s11095-017-2273-5
M3 - Article
C2 - 28983779
AN - SCOPUS:85030663389
SN - 0724-8741
VL - 34
SP - 2901
EP - 2909
JO - Pharmaceutical research
JF - Pharmaceutical research
IS - 12
ER -