Compaction behaviour and new predictive approach to the compressibility of binary mixtures of pharmaceutical excipients

被引:58
作者
Busignies, V.
Leclerc, B.
Porion, P.
Evesque, P.
Couarraze, G.
Tchoreloff, P.
机构
[1] Univ Paris 11, Ctr Etud Pharmaceut, IFR 141, F-92296 Chatenay Malabry, France
[2] CNRS, UMR 6619, Ctr Rech Mat Divisee, Orleans, France
[3] Univ Orleans, Orleans, France
[4] Ecole Cent Paris, Lab Mecan, Paris, France
关键词
binary mixtures; compressibility; porosity; energetic parameters; yield pressure; modelling;
D O I
10.1016/j.ejpb.2006.03.004
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
The compressibility of three pharmaceutical excipients (microcrystalline cellulose, lactose and anhydrous calcium phosphate) and their binary mixtures was studied. The aim of this work was to observe the impact of the mass composition of the mixture on the compressibility. The single-compound materials and their mixtures were compacted using instrumented presses. It allowed obtaining compression cycles (i.e., force-displacement curves) which were associated with energy measurements (specific compaction energy, E-spcp and specific expansion energy, E-sp exp ). It was observed that for the mixtures studied, the change of E-sp cp with the mass composition could be fitted using a linear relationship (it was not the case with E-sp exp). A linear relationship between the porosity of mixture's compacts and the mass composition was also obtained. Heckel's plots were then obtained for the three excipients and the mixtures. The mean yield pressure was calculated with the "in-die-method" and the "out-of-die method". A proportional relationship was not valid for the mean yield pressures. But, a predictive approach was proposed in order to obtain indirectly the mean yield pressure of a binary mixture if the data of the single materials were known. It used the linear mixing rule observed with the porosity. The validity was verified and compared with the experimental values. This comparison showed that it was possible to predict the mean yield pressure of binary mixtures from the accessible data of the single excipients. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:66 / 74
页数:9
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