Evolutionary Algorithms in Modeling Aerodynamic Properties of Spray-Dried Microparticulate Systems

Autor: Sebastian Polak, Barbara Wiśniowska, Natalia Czub, Adam Pacławski, Jakub Szlęk, Renata Jachowicz, Aleksander Mendyk, Stefano Giovagnoli
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Coefficient of determination
microparticulate systems
Evolutionary algorithm
02 engineering and technology
Pharmaceutical formulation
computer.software_genre
lcsh:Technology
particles characteristic
lcsh:Chemistry
03 medical and health sciences
General Materials Science
spray drying
evolutionary algorithms
Process engineering
Instrumentation
lcsh:QH301-705.5
030304 developmental biology
Mathematics
Fluid Flow and Transfer Processes
empirical modeling
0303 health sciences
business.industry
lcsh:T
Process Chemistry and Technology
Final product
General Engineering
pulmonary drugs
021001 nanoscience & nanotechnology
Expert system
lcsh:QC1-999
Computer Science Applications
lcsh:Biology (General)
lcsh:QD1-999
lcsh:TA1-2040
Scientific method
Spray drying
pharmaceutical technology
Particle
0210 nano-technology
business
spray drying
particles characteristic
evolutionary algorithms
empirical modeling
pharmaceutical technology
pulmonary drugs
microparticulate systems
lcsh:Engineering (General). Civil engineering (General)
computer
lcsh:Physics
Zdroj: Applied Sciences, Vol 10, Iss 7109, p 7109 (2020)
Applied Sciences
Volume 10
Issue 20
ISSN: 2076-3417
Popis: Spray drying is a single step process in which solutions or dispersions are converted into dry particles. It is widely used in pharmaceutical technology to produce inhalable particles. Dry particle behavior during inhalation, described as the emitted dose (ED) and fine particle fraction (FPF), is determined in vitro by standardized procedures. A large number of factors influencing the spray drying process and particle interaction makes it difficult to predict the final product properties in advance. This work presents the development of predictive models based on experimental data obtained by aerodynamic assessment of respirable dry powders. Developed models were tested according to the 10-fold cross-validation procedure and yielded good predictive ability. Both models were characterized by normalized root-mean-square error (NRMSE) below 8.50% and coefficient of determination (R2) above 0.90. Moreover, models were analyzed to establish a relationship between spray drying process parameters and the final product quality measures. Presented work describes the strategy of implementing the evolutionary algorithms in empirical model&rsquo
s development. Obtained models can be applied as an expert system during pharmaceutical formulation development. The models have the potential for product optimization and a knowledge extraction to improve final quality of the drug.
Databáze: OpenAIRE
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