Evaluation of carrier size and surface morphology in carrier-based dry powder inhalation by surrogate modeling

Amir Abbas Kazemzadeh Farizhandi, Adam Pacłaawski, Jakub Szlęk, Aleksander Mendyk, Yu Hsuan Shao, Raymond Lau

研究成果: 雜誌貢獻文章同行評審

5 引文 斯高帕斯(Scopus)

摘要

In this work, design parameters of carrier-based dry powder inhalation were studied using surrogate modeling technique. The surrogate models constructed were then used to evaluate the key design parameters independently, which were otherwise difficult to determine based on experimental studies alone. Artificial neural network (ANN) was chosen as the surrogate modeling technique and models were constructed based on experimental data obtained from the literature. Twenty-eight variables describing the carrier size distribution, density, surface characteristics and operating conditions of dry powder inhaler were used as the input variables and emitted dose (ED) and fine particle fraction (FPF) were used as the output variables. Carrier surface characteristics were evaluated by applying image analysis on carrier SEM images. Genetic algorithm (GA) was used for the selection of important variables to be included in the surrogate models. Sensitivity analysis was also performed to determine the key variables affecting ED and FPF. Key design criteria for carrier-based dry powder inhalation were proposed based on the surrogate models constructed.

原文英語
頁(從 - 到)144-155
頁數12
期刊Chemical Engineering Science
193
DOIs
出版狀態已發佈 - 1月 16 2019

ASJC Scopus subject areas

  • 一般化學
  • 一般化學工程
  • 工業與製造工程

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