Multiple linear regression modelling to predict the stability of polymer-drug solid dispersions: comparison of the effects of polymers and manufacturing methods on solid dispersion stability
Solid dispersions can be a successful way to enhance the bioavailability of poorly soluble drugs. Here 60 solid dispersion formulations were produced using ten chemically diverse, neutral, poorly soluble drugs, three commonly used polymers, and two manufacturing techniques, spray drying and melt ext...
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American Chemical Society
2018
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| Online Access: | https://eprints.nottingham.ac.uk/50924/ |
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| author | Fridgeirsdottir, Gudrun Harris, Robert Dryden, Ian L. Fischer, Peter M. Roberts, Clive J. |
| author_facet | Fridgeirsdottir, Gudrun Harris, Robert Dryden, Ian L. Fischer, Peter M. Roberts, Clive J. |
| author_sort | Fridgeirsdottir, Gudrun |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Solid dispersions can be a successful way to enhance the bioavailability of poorly soluble drugs. Here 60 solid dispersion formulations were produced using ten chemically diverse, neutral, poorly soluble drugs, three commonly used polymers, and two manufacturing techniques, spray drying and melt extrusion. Each formulation underwent a six-month stability study at accelerated conditions, 40 °C and 75% relative humidity (RH). Significant differences in times to crystallisation (onset of crystallisation) were observed between both the different polymers and the two processing methods. Stability from zero days to over one year was observed. The extensive experimental dataset obtained from this stability study was used to build multiple linear regression models to correlate physicochemical properties of the active pharmaceutical ingredients (API) with the stability data. The purpose of these models is to indicate which combination of processing method and polymer carrier is most likely to give a stable solid dispersion. Six quantitative mathematical multiple linear regression-based models were produced based on selection of the most influential independent physical and chemical parameters from a set of 33 possible factors, one model for each combination of polymer and processing method, with good predictability of stability. Three general rules are proposed from these models for the formulation development of suitably stable solid dispersions. Namely, increased stability is correlated with increased glass transition temperature (Tg) of solid dispersions, as well as decreased number of H-bond donors and increased molecular flexibility (such as rotatable bonds and ring count) of the drug molecule. |
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| format | Article |
| id | nottingham-50924 |
| institution | University of Nottingham Malaysia Campus |
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| last_indexed | 2025-11-14T20:18:41Z |
| publishDate | 2018 |
| publisher | American Chemical Society |
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| spelling | nottingham-509242020-05-04T19:38:01Z https://eprints.nottingham.ac.uk/50924/ Multiple linear regression modelling to predict the stability of polymer-drug solid dispersions: comparison of the effects of polymers and manufacturing methods on solid dispersion stability Fridgeirsdottir, Gudrun Harris, Robert Dryden, Ian L. Fischer, Peter M. Roberts, Clive J. Solid dispersions can be a successful way to enhance the bioavailability of poorly soluble drugs. Here 60 solid dispersion formulations were produced using ten chemically diverse, neutral, poorly soluble drugs, three commonly used polymers, and two manufacturing techniques, spray drying and melt extrusion. Each formulation underwent a six-month stability study at accelerated conditions, 40 °C and 75% relative humidity (RH). Significant differences in times to crystallisation (onset of crystallisation) were observed between both the different polymers and the two processing methods. Stability from zero days to over one year was observed. The extensive experimental dataset obtained from this stability study was used to build multiple linear regression models to correlate physicochemical properties of the active pharmaceutical ingredients (API) with the stability data. The purpose of these models is to indicate which combination of processing method and polymer carrier is most likely to give a stable solid dispersion. Six quantitative mathematical multiple linear regression-based models were produced based on selection of the most influential independent physical and chemical parameters from a set of 33 possible factors, one model for each combination of polymer and processing method, with good predictability of stability. Three general rules are proposed from these models for the formulation development of suitably stable solid dispersions. Namely, increased stability is correlated with increased glass transition temperature (Tg) of solid dispersions, as well as decreased number of H-bond donors and increased molecular flexibility (such as rotatable bonds and ring count) of the drug molecule. American Chemical Society 2018-05-30 Article PeerReviewed Fridgeirsdottir, Gudrun, Harris, Robert, Dryden, Ian L., Fischer, Peter M. and Roberts, Clive J. (2018) Multiple linear regression modelling to predict the stability of polymer-drug solid dispersions: comparison of the effects of polymers and manufacturing methods on solid dispersion stability. Molecular Pharmaceutics, 15 (5). pp. 1826-1841. ISSN 1543-8392 solid dispersion stability multiple linear regression model hot melt extrusion spray-drying amorphous https://pubs.acs.org/doi/10.1021/acs.molpharmaceut.8b00021 doi:10.1021/acs.molpharmaceut.8b00021 doi:10.1021/acs.molpharmaceut.8b00021 |
| spellingShingle | solid dispersion stability multiple linear regression model hot melt extrusion spray-drying amorphous Fridgeirsdottir, Gudrun Harris, Robert Dryden, Ian L. Fischer, Peter M. Roberts, Clive J. Multiple linear regression modelling to predict the stability of polymer-drug solid dispersions: comparison of the effects of polymers and manufacturing methods on solid dispersion stability |
| title | Multiple linear regression modelling to predict the stability of polymer-drug solid dispersions: comparison of the effects of polymers and manufacturing methods on solid dispersion stability |
| title_full | Multiple linear regression modelling to predict the stability of polymer-drug solid dispersions: comparison of the effects of polymers and manufacturing methods on solid dispersion stability |
| title_fullStr | Multiple linear regression modelling to predict the stability of polymer-drug solid dispersions: comparison of the effects of polymers and manufacturing methods on solid dispersion stability |
| title_full_unstemmed | Multiple linear regression modelling to predict the stability of polymer-drug solid dispersions: comparison of the effects of polymers and manufacturing methods on solid dispersion stability |
| title_short | Multiple linear regression modelling to predict the stability of polymer-drug solid dispersions: comparison of the effects of polymers and manufacturing methods on solid dispersion stability |
| title_sort | multiple linear regression modelling to predict the stability of polymer-drug solid dispersions: comparison of the effects of polymers and manufacturing methods on solid dispersion stability |
| topic | solid dispersion stability multiple linear regression model hot melt extrusion spray-drying amorphous |
| url | https://eprints.nottingham.ac.uk/50924/ https://eprints.nottingham.ac.uk/50924/ https://eprints.nottingham.ac.uk/50924/ |