Global Sensitivity Analysis of a Spray Drying Process
| Autor: | Jan Van Impe, Carlos André Muñoz López, Satyajeet Bhonsale |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
quality by design
Computer science Bioengineering Process design 02 engineering and technology lcsh:Chemical technology lcsh:Chemistry 020401 chemical engineering Robustness (computer science) Chemical Engineering (miscellaneous) Process control lcsh:TP1-1185 spray drying Sensitivity (control systems) 0204 chemical engineering Process engineering Polynomial chaos business.industry Process Chemistry and Technology Sobol sequence 021001 nanoscience & nanotechnology polynomial chaos Unit operation lcsh:QD1-999 global sensitivity analysis Spray drying 0210 nano-technology business pharmaceutical manufacturing |
| Zdroj: | Processes Volume 7 Issue 9 Processes, Vol 7, Iss 9, p 562 (2019) |
| ISSN: | 2227-9717 |
| DOI: | 10.3390/pr7090562 |
| Popis: | Spray drying is a key unit operation used to achieve particulate products of required properties. Despite its widespread use, the product and process design, as well as the process control remain highly empirical and depend on trial and error experiments. Studying the effect of operational parameters experimentally is tedious, time consuming, and expensive. In this paper, we carry out a model-based global sensitivity analysis (GSA) of the process. Such an exercise allows us to quantify the impact of different process parameters, many of which interact with each other, on the product properties and conditions that have an impact on the functionality of the final drug product. Moreover, classical sensitivity analysis using the Sobol-based sensitivity indices was supplemented by a polynomial chaos-based sensitivity analysis, which proved to be an efficient method to reduce the computational cost of the GSA. The results obtained demonstrate the different response dependencies of the studied variables, which helps to identify possible control strategies that can result in major robustness for the spray drying process. |
| Databáze: | OpenAIRE |
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