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利用配对分布函数数据的 metropolis 矩阵因子分解对无定形固体分散体进行结构表征。

Structural characterisation of amorphous solid dispersions via metropolis matrix factorisation of pair distribution function data.

机构信息

Department of Chemistry, University of Oxford, Inorganic Chemistry Laboratory, South Parks Road, Oxford OX1 3QR, UK.

Pharmaceutical Development, AstraZeneca, Macclesfield, SK10 2NA, UK.

出版信息

Chem Commun (Camb). 2019 Nov 18;55(89):13346-13349. doi: 10.1039/c9cc06753a. Epub 2019 Oct 3.

Abstract

We measure the X-ray pair distribution functions (PDFs) of a series of felodipine:copovidone amorphous solid dispersions. Using a newly-developed Metropolis Matrix Factorisation (MMF) algorithm we extract from these data the PDF of the amorphous felodipine component in isolation. Our MMF analysis allows quantification of the degree of drug crystallinity in each sample, and structural characterisation of the amorphous drug via its PDF. Comparison with atomistic simulations reveals that the (in)accessibility of conformational rotamers distinguishes amorphous and crystalline felodipine, in turn suggesting design routes for stabilising the amorphous form. We discuss the conceptual importance of our results in the context of characterising not only amorphous pharmaceuticals, but complex mixtures in general.

摘要

我们测量了一系列非洛地平

共聚维酮无定形固体分散体的 X 射线对分布函数(PDF)。使用新开发的马氏矩阵分解(MMF)算法,我们从这些数据中提取出无定形非洛地平成分的 PDF。我们的 MMF 分析允许定量评估每个样品中药物结晶度的程度,并通过 PDF 对无定形药物进行结构表征。与原子模拟的比较表明,构象旋转异构体的(不可及性)区分了无定形和结晶非洛地平,进而为稳定无定形形式提出了设计路线。我们讨论了我们的结果在不仅描述无定形药物,而且一般描述复杂混合物方面的概念重要性。

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