Model based process optimization for nanoparticle precipitation

This study presents a derivative-based optimization framework for nanoparticle synthesis. PBEs coupled with the exact Method of Moments enable optimal dynamic reactant inflow to minimize size variance while achieving a target mean diameter.

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Publication Details

Journal
Reaction Chemistry & Engineering
Published
2025-12-23
DOI
https://doi.org/10.1039/d5re00333d
Primary Topic
Coagulation and Flocculation Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Model based process optimization for nanoparticle precipitation

Jana Dienstbier, Adeel Muneer, Lukas Pflug, Andrea Gilch
Reaction Chemistry & Engineering
Coagulation and Flocculation Studies
article

Model based process optimization for nanoparticle precipitation

Jana Dienstbier, Adeel Muneer, Lukas Pflug, Andrea Gilch
article en

Abstract

This study presents a derivative-based optimization framework for nanoparticle synthesis. PBEs coupled with the exact Method of Moments enable optimal dynamic reactant inflow to minimize size variance while achieving a target mean diameter.

Reaction Chemistry & Engineering
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 37%
Coagulation and Flocculation Studies
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Model based process optimization for nanoparticle precipitation — Jana Dienstbier, Adeel Muneer, et al. · Reaction Chemistry & Engineering (2025) | TGRS Research Map | TGRS