Control and Prediction of Solid-State of Pharmaceuticals
Experimental and Computational Approaches
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Beschreibung
This thesis investigates a range of experimental and computational approaches to the discovery of solid forms. It illustrates an inexpensive, practical and accurate way to predict the crystallizability of organic compounds based on molecular structure alone, while also highlighting the molecular factors that inhibit or promote crystallization. Furthermore, readers will gain a better understanding of the key factors underpinning solid-state structure and diversity. A major part of the thesis highlights experimental work carried out on two structurally very similar compounds, while another main section examines the influence of small changes in structure and substituents on solid-state structure and diversity using computational tools including crystal structure prediction, PIXEL calculations, Xpac, Mercury and statistical modelling tools. In closing, the author presents a fast validated method for solid-state form screening using Raman microscopy on multi-well plates to explore the experimental crystallization space.
This thesis investigates a range of experimental and computational approaches for the discovery of solid forms. Furthermore, we gain, as readers, a better understanding of the key factors underpinning solid-structure and diversity. A major part of this thesis highlights experimental work carried out on two structurally very similar compounds. Another important section involves looking at the influence of small changes in structure and substituents on solid-structure and diversity using computational tools including crystal structure prediction, PIXEL calculations, Xpac, Mercury and statistical modeling tools. In addition, the author presents a fast validated method for solid-state form screening using Raman microscopy on multi-well plates to explore the experimental crystallization space. This thesis illustrates an inexpensive, practical and accurate way to predict the crystallizability of organic compounds based on molecular structure alone, and additionally highlights the molecular factors that inhibit or promote crystallization.
Nominated as an outstanding PhD thesis by the University of Strathclyde Demonstrates the value of combined experimental and computational approaches for a better understanding of the key factors underpinning solid-state structures and diversity in four pharmaceutical compounds Details an effective methodology for high-throughput crystallization and analysis for solid-state form screening using 48/96 multi-well plates and Raman spectroscopy Reports for the first time on the prediction of crystallizability using the random forest statistical modelling technique Includes supplementary material: sn.pub/extras
Autor*in
Rajni Miglani Bhardwaj
Themen in »Control and Prediction of Solid-State of Pharmaceuticals«
Physical Form Screening Experimental Crystal Structure Landscape Solid-State Diversity Crystal Structure Predcition Crystallizability, High-throughput Crystallisation Olanzapine, Clozapine Amoxapine Loxapine, Random Forest Classification PIXEL Calculations XPac Analysis