Dynamic Optimization and Non-linear Model Predictive Control to Achieve Targeted Particle Morphologies.

An event-driven approach based on dynamic optimization and nonlinear model predictive control (NMPC) is investigated together with inline Raman spectroscopy for process monitoring and control. The benefits and challenges in polymerization and morphology monitoring are presented, and an overview of the used mechanistic models and the details of the dynamic optimization and NMPC approach to achieve the relevant process objectives are provided. Finally, the implementation of the approach is discussed, and results from experiments in lab and pilot-plant reactors are presented.

Cleavable surfactants to tune the stability of W/O miniemulsions.

Recently, there has been growing interest towards the formation and use of miniemulsions as nanoreactors for polymerization and precipitation reactions. Regarding precipitation reactions in miniemulsions, emulsifiers are required that on the one hand stabilize droplets in a size range <1 μm and on the other hand allow break-up of the miniemulsion into its two initial phases after particle synthesis for purification reasons. In this work we report the synthesis and emulsifying abilities of low-mass cleavable emulsifiers based on monoesters of oxalic and malonic acids for the stabilization of water-in-oil miniemulsions.

Mass transport characteristics of alkyl amines in a water/n-decane system.

Water-in-decane emulsions can be applied as reaction system for the precipitation of nanoparticles. Herein the precipitation reaction is induced once an oil as well as water soluble compound (here: alkyl amines) diffuses from the continuous oil phase into a water based droplet, loaded with the reaction partner. Thus, the mass transfer and adsorption characteristics of the alkyl amine at the interface are key parameters to understand particle formation in emulsion droplets.