dc.contributor.authorPacławski, Adam
dc.contributor.authorSzlęk, Jakub
dc.contributor.authorLau, Raymond
dc.contributor.authorJachowicz, Renata
dc.contributor.authorMendyk, Aleksander
dc.date.accessioned2015-02-13T02:33:18Z
dc.date.available2015-02-13T02:33:18Z
dc.date.copyright2015en_US
dc.date.issued2015
dc.identifier.citationPacławski, A., Szlęk, J., Lau, R., Jachowicz, R., & Mendyk, A. (2015). Empirical modeling of the fine particle fraction for carrier-based pulmonary delivery formulations. International journal of nanomedicine, 10, 801-810.en_US
dc.identifier.issn1178-2013en_US
dc.identifier.urihttp://hdl.handle.net/10220/25049
dc.description.abstractIn vitro study of the deposition of drug particles is commonly used during development of formulations for pulmonary delivery. The assay is demanding, complex, and depends on: properties of the drug and carrier particles, including size, surface characteristics, and shape; interactions between the drug and carrier particles and assay conditions, including flow rate, type of inhaler, and impactor. The aerodynamic properties of an aerosol are measured in vitro using impactors and in most cases are presented as the fine particle fraction, which is a mass percentage of drug particles with an aerodynamic diameter below 5 µm. In the present study, a model in the form of a mathematical equation was developed for prediction of the fine particle fraction. The feature selection was performed using the R-environment package “fscaret”. The input vector was reduced from a total of 135 independent variables to 28. During the modeling stage, techniques like artificial neural networks, genetic programming, rule-based systems, and fuzzy logic systems were used. The 10-fold cross-validation technique was used to assess the generalization ability of the models created. The model obtained had good predictive ability, which was confirmed by a root-mean-square error and normalized root-mean-square error of 4.9 and 11%, respectively. Moreover, validation of the model using external experimental data was performed, and resulted in a root-mean-square error and normalized root-mean-square error of 3.8 and 8.6%, respectively.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesInternational journal of nanomedicineen_US
dc.rights© 2015 Pacławski et al. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License. The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. Permissions beyond the scope of the License are administered by Dove Medical Press Limited. Information on how to request permission may be found at: http://www.dovepress.com/permissions.phpen_US
dc.subjectDRNTU::Science::Medicine
dc.titleEmpirical modeling of the fine particle fraction for carrier-based pulmonary delivery formulationsen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Chemical and Biomedical Engineeringen_US
dc.identifier.doihttp://dx.doi.org/10.2147/IJN.S75758
dc.description.versionPublished versionen_US


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