Factorial design optimization of polystyrene microspheres obtained by aqueous dispersion polymerization in the presence of poly(2‐ethyl‐2‐oxazoline) reactive stabilizer

• Published in: Polymer international Vol. 69; no. 11; pp. 1122 - 1129
• Main Authors: Iordache, Tanta‐Verona, Banu, Nicoleta D, Giol, Elena D, Vuluga, Dumitru M, Jerca, Florica A, Jerca, Valentin V
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Ltd 01.11.2020; Wiley Subscription Services, Inc
• Subjects: Design optimization; Factorial design; Industrial applications; Initiators; Mathematical models; Microparticles; Microspheres; Particle size; Particle size distribution; Polarity; Polymerization; Polystyrene; Polystyrene resins; Process variables; Size distribution; Solvents; Statistical analysis; Variance analysis
• ISSN: 0959-8103; 1097-0126
• DOI: 10.1002/pi.5974

The present study highlights the use of statistical design to establish an effective model for the synthesis of polystyrene microspheres by aqueous dispersion polymerization using poly(2‐ethyl‐2‐oxazoline) reactive stabilizer. The significant parameters (e.g. solvent polarity, stabilizer and initiator concentration) influencing the characteristic responses of the process such as yield, particle size and size distribution, as well as the interactions between the variables, were identified. The macromonomer concentration and solvent polarity influence both particle size and size distribution, whereas initiator concentration influences the yield. Analysis of the variance of process variables indicates that the models can be successfully used to describe the dispersion polymerization process. Moreover, the factorial design allows the development of microspheres with optimal properties with respect to size and size distribution. The experimental data regarding yield, particle size and size distribution of the optimized dispersion polymerization shows less than 7% difference compared with the predicted responses. In view of these results, the implementation of statistical design models represents an efficient solution for optimizing microparticle synthesis while aiming for industrial applications. © 2020 Society of Chemical Industry Full factorial design was successfully used to model and optimize the aqueous dispersion polymerization of styrene in the presence of a poly(2‐oxazoline) reactive stabilizer.