Optimization of process parameters for preparation of polystyrene PM2.5 particles by supercritical antisolvent method using BBD-RSM.

ABSTRACT: The objective of this study is to optimize the process parameters for preparing polystyrene (PS) PM2.5 particles by supercritical antisolvent (SAS) method. Toluene was selected as the solvent and supercritical carbon dioxide (SC-CO₂) was used as the antisolvent. The Box-Behnken design-response surface method was applied to investigate the effect of crystallizer pressure, PS massic concentration, flow ratio of CO₂/solution and crystallizer temperature on the size and the distribution of PS particles, systematically. It is found that crystallizer temperature is the most significant variable on the size and the distribution of PS particles, followed by flow ratio of CO₂/solution and PS massic concentration, and crystallizer pressure is the slightest significan

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC7341738 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature