2011
DOI: 10.1002/jps.22313
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Evaluation of Predictive Models for Stable Solid Solution Formation

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Cited by 18 publications
(17 citation statements)
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“…Recently, a new GC parameter set, specifically designed by Just et al ., to predict the compatibility of solid drug and polymer has shown an improved predictive power, relative to previously used GC parameter sets . In this study, the GC methods developed by Van Krevelen/Hoftyzer and Hoy were used with this extended parameter set developed by Just et al . The former are well‐established GC methods used in a variety of scientific fields, the latter being specifically developed for HME applications.…”
Section: Resultsmentioning
confidence: 99%
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“…Recently, a new GC parameter set, specifically designed by Just et al ., to predict the compatibility of solid drug and polymer has shown an improved predictive power, relative to previously used GC parameter sets . In this study, the GC methods developed by Van Krevelen/Hoftyzer and Hoy were used with this extended parameter set developed by Just et al . The former are well‐established GC methods used in a variety of scientific fields, the latter being specifically developed for HME applications.…”
Section: Resultsmentioning
confidence: 99%
“…Comparison of δ and related differences calculated through different GC methods should be performed carefully, ideally by relating δ values estimated using the same approach. The selection of Soluplus, VA64, 17PF and EPO derived from the evaluation of Δδ values was mainly influenced by the difference in drug–excipient interactions, mainly hydrogen bonding . Δδ provides a sensitive tool for discriminating polymers based on a more accurate evaluation of polar, dispersive and hydrogen bonding forces.…”
Section: Resultsmentioning
confidence: 99%
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