Empirical modeling of the fine particle fraction for carrier-based pulmonary delivery formulations

Empirical modeling of the fine particle fraction for carrier-based pulmonary delivery formulations

Adam Pacławski,1 Jakub Szlęk,1 Raymond Lau,2 Renata Jachowicz,1 Aleksander Mendyk1 1Department of Pharmaceutical Technology and Biopharmaceutics, Jagiellonian University Medical College, Kraków, Poland; 2School of Chemical and Biomedical Engineering, College of Engineering, Nan...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Pacławski A, Szlęk J, Lau R, Jachowicz R, Mendyk A
Formato: article
Lenguaje:EN
Publicado: Dove Medical Press 2015
Materias:
Medicine (General)
R5-920
Acceso en línea:https://doaj.org/article/7c7d32d7b5f843b2a79d467cff77f634
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:7c7d32d7b5f843b2a79d467cff77f634
record_format dspace
spelling oai:doaj.org-article:7c7d32d7b5f843b2a79d467cff77f6342021-12-02T00:39:21ZEmpirical modeling of the fine particle fraction for carrier-based pulmonary delivery formulations1178-2013https://doaj.org/article/7c7d32d7b5f843b2a79d467cff77f6342015-01-01T00:00:00Zhttp://www.dovepress.com/empirical-modeling-of-the-fine-particle-fraction-fornbspcarrier-based--peer-reviewed-article-IJNhttps://doaj.org/toc/1178-2013 Adam Pacławski,1 Jakub Szlęk,1 Raymond Lau,2 Renata Jachowicz,1 Aleksander Mendyk1 1Department of Pharmaceutical Technology and Biopharmaceutics, Jagiellonian University Medical College, Kraków, Poland; 2School of Chemical and Biomedical Engineering, College of Engineering, Nanyang Technological University, Singapore Abstract: In 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. Keywords: fine particle fraction, pulmonary delivery, deposition modeling, genetic programming, feature selection, empirical modelingPacławski ASzlęk JLau RJachowicz RMendyk ADove Medical PressarticleMedicine (General)R5-920ENInternational Journal of Nanomedicine, Vol 2015, Iss default, Pp 801-810 (2015)
institution DOAJ
collection DOAJ
language EN
topic Medicine (General)
R5-920
spellingShingle Medicine (General)
R5-920
Pacławski A
Szlęk J
Lau R
Jachowicz R
Mendyk A
Empirical modeling of the fine particle fraction for carrier-based pulmonary delivery formulations
description Adam Pacławski,1 Jakub Szlęk,1 Raymond Lau,2 Renata Jachowicz,1 Aleksander Mendyk1 1Department of Pharmaceutical Technology and Biopharmaceutics, Jagiellonian University Medical College, Kraków, Poland; 2School of Chemical and Biomedical Engineering, College of Engineering, Nanyang Technological University, Singapore Abstract: In 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. Keywords: fine particle fraction, pulmonary delivery, deposition modeling, genetic programming, feature selection, empirical modeling
format article
author Pacławski A
Szlęk J
Lau R
Jachowicz R
Mendyk A
author_facet Pacławski A
Szlęk J
Lau R
Jachowicz R
Mendyk A
author_sort Pacławski A
title Empirical modeling of the fine particle fraction for carrier-based pulmonary delivery formulations
title_short Empirical modeling of the fine particle fraction for carrier-based pulmonary delivery formulations
title_full Empirical modeling of the fine particle fraction for carrier-based pulmonary delivery formulations
title_fullStr Empirical modeling of the fine particle fraction for carrier-based pulmonary delivery formulations
title_full_unstemmed Empirical modeling of the fine particle fraction for carrier-based pulmonary delivery formulations
title_sort empirical modeling of the fine particle fraction for carrier-based pulmonary delivery formulations
publisher Dove Medical Press
publishDate 2015
url https://doaj.org/article/7c7d32d7b5f843b2a79d467cff77f634
work_keys_str_mv AT pacławskia empiricalmodelingofthefineparticlefractionfornbspcarrierbasedpulmonarydeliveryformulations
AT szlekj empiricalmodelingofthefineparticlefractionfornbspcarrierbasedpulmonarydeliveryformulations
AT laur empiricalmodelingofthefineparticlefractionfornbspcarrierbasedpulmonarydeliveryformulations
AT jachowiczr empiricalmodelingofthefineparticlefractionfornbspcarrierbasedpulmonarydeliveryformulations
AT mendyka empiricalmodelingofthefineparticlefractionfornbspcarrierbasedpulmonarydeliveryformulations
_version_ 1718403563873370112

Ejemplares similares