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Multi-linear Regression Model to Predict the Electron Stability of Poorly Soluble Active Pharmaceutical Ingredients

Published online by Cambridge University Press:  04 August 2017

Mark S’ari ,
Andy Brown ,
Rik Brydson ,
Nicole Hondow ,
Helen Blade ,
Les Hughes  and
Steve Cosgrove
Mark S’ari
Affiliation:
University of Leeds, School of Chemical and Process Engineering, Leeds, United Kingdom
Andy Brown
Affiliation:
University of Leeds, School of Chemical and Process Engineering, Leeds, United Kingdom
Rik Brydson
Affiliation:
University of Leeds, School of Chemical and Process Engineering, Leeds, United Kingdom
Nicole Hondow
Affiliation:
University of Leeds, School of Chemical and Process Engineering, Leeds, United Kingdom
Helen Blade
Affiliation:
Pharmaceutical Development Group, AstraZeneca, Macclesfield, United Kingdom
Les Hughes
Affiliation:
Pharmaceutical Development Group, AstraZeneca, Macclesfield, United Kingdom
Steve Cosgrove
Affiliation:
Pharmaceutical Development Group, AstraZeneca, Macclesfield, United Kingdom

Abstract

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Type
Abstract
Information
Microscopy and Microanalysis , Volume 23 , Supplement S1: Proceedings of Microscopy & Microanalysis 2017 , July 2017 , pp. 1194 - 1195
Copyright
© Microscopy Society of America 2017 

References

[1] Eddleston, M D, et al, Journal of Pharmaceutical Sciences 99 2010). p 4072.CrossRefGoogle Scholar
[2] Ricarte, R G, et al, Molecular Pharmaceutics 12 2015). p 983.Google Scholar
[3] S'ari, M, et al Journal of Physics: Conference Series 644 (2015).Google Scholar
[4] Jones, W Surface and Defect Properties of Solids 5 1976). p 65.Google Scholar
[5] Clark, W R K, et al, Ultramicroscopy 5 1980). p 195.Google Scholar