Investigating compressibility descriptors for binary mixtures of different deformation behavior

Investigating compressibility descriptors for binary mixtures of different deformation behavior
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研究不同变形行为的二元混合物的压缩性描述符

DOI:
10.1016/j.powtec.2023.118571
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发表时间:
2023
期刊:
影响因子:
5.2
通讯作者:
P. Kleinebudde
P. Kleinebudde
中科院分区:
工程技术2区
文献类型:
--
作者:
Sabrina Berkenkemper;Stefan Klinken;P. Kleinebudde

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最重要的剂型之一仍然是片剂。预测制剂的压片行为是开发这些剂型的一个主要目标。如果消除了用于经验配方开发的耗时的实验,则可以节省资源,从而节省成本。根据组成混合物的材料的性质来预测混合物的性质已经被研究了很多次。为了简化这一方法,在这项工作中列出了二元混合物。对纯原料和不同组成的混合物的压缩性能和片剂性能进行了表征。其目的是研究不同的可压缩性描述符对预测二元混合物的压片行为的适用性。为此,应用重量分数和体积分数的线性混合规则,从相应的起始原料预测混合物的性质。可压缩性分析、Walker方程和重排指数的Kawakita分析结果令人满意。对于这三个参数,压缩参数与二元混合物的组成之间存在线性关系。这些描述符可以作为未来描述更复杂混合物的基础。
One of the most important dosage forms remains tablets. Predicting the tableting behavior of formulations is a major goal in the development of those dosage forms. Resources and consequently costs can be saved if time-consuming experiments for empirical formulation development are eliminated. Predicting the properties of a mixture from the properties of the materials it is composed of has been studied many times. To simplify this approach, binary mixtures were tableted in this work. Both pure materials and mixtures in different compositions were characterized with respect to their compressibility and tablet properties. The aim was to investigate different compressibility descriptors for their suitability to predict the tableting behavior of binary mixtures. For this, linear mixing rule for weight and volume fractions was applied to predict the properties of the mixture from the corresponding starting materials. Compressibility analysis, Walker equation and rearrangement index of Kawakita analysis showed promising results. A linear relationship between the compression parameter and the composition of the binary mixture was found for the three parameters. These descriptors can be used as a foundation to describe more complicated mixtures in the future.