We propose a new method to produce fluorinated nanoparticles (NPs) based on ab initio reversible addition-fragmentation chain transfer (RAFT) emulsion polymerization without the use of toxic surfactants. NP size, surface charge, and chemistry can be controlled via the adoption of different macromolecular transfer agents produced via RAFT polymerization of amphiphilic monomers. Thanks to this versatility, interparticle interactions can be easily tuned by changing solvent composition and temperature. In addition, the refractive index and density of the solvent can simultaneously match those of the NPs by adding sodium polytungstate, an organic salt widely used for density gradient centrifugation. These colloids may be used as model systems for the study of self-assembly and aggregation in aqueous media when optical methods are required.

Viral systems such as wild‐type viruses, viral vectors, and virus‐like particles are essential components of modern biotechnology and medicine. Despite their importance, the commercial‐scale production of viral systems remains highly inefficient for multiple reasons. Computational strategies are a promising avenue for improving process development, optimization, and control, but require a mathematical description of the system. This article reviews mechanistic modeling strategies for the production of viral particles, both at the cellular and bioreactor scales. In many cases, techniques and models from adjacent fields such as epidemiology and wild‐type viral infection kinetics can be adapted to construct a suitable process model. These process models can then be employed for various purposes such as in‐silico testing of novel process operating strategies and/or advanced process control.

Viral systems such as wild-type viruses, viral vectors, and virus-like particles are essential components of modern biotechnology and medicine. Despite their importance, the commercial-scale production of viral systems remains highly inefficient for multiple reasons. Computational strategies are a promising avenue for improving process development, optimization, and control, but require a mathematical description of the system. This article reviews mechanistic modeling strategies for the production of viral particles, both at the cellular and bioreactor scales. In many cases, techniques and models from adjacent fields such as epidemiology and wild-type viral infection kinetics can be adapted to construct a suitable process model. These process models can then be employed for various purposes such as in-silico testing of novel process operating strategies and/or advanced process control.