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Julian Kimmig

Friedrich-Schiller-Universität Jena

Furstengraben 1

Jena, 07743

Germany

  • Friedrich-Schiller-Universität Jena

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Predicting acetalated dextran nanoparticle features: Controlled synthesis, formulation and testing in a high-throughput process

Number of pages: 27 Posted: 12 Oct 2025
Thorben Köhler, Sreekanth Kunchapu, Antje Vollrath, Kourosh Rezaei, Julian Kimmig, Steffi Stumpf, Stephanie Hoeppener, Ivo Nischang, Kevin Maik Jablonka, Ulrich S. Schubert and Stephanie Schubert
Friedrich-Schiller-Universität Jena, Friedrich-Schiller-Universität Jena, Friedrich-Schiller-Universität Jena, affiliation not provided to SSRN, Friedrich-Schiller-Universität Jena, Friedrich-Schiller-Universität Jena, Friedrich-Schiller-Universität Jena, Friedrich-Schiller-Universität Jena, École Polytechnique Fédérale de Lausanne (EPFL), Friedrich-Schiller-Universität Jena - Laboratory of Organic and Macromolecular Chemistry (IOMC) and Friedrich-Schiller-Universität Jena - Jena Center for Soft Matter (JCSM)
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Abstract:

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Dextran, Drug delivery, high-throughput, Machine learning, Nanoparticles, stability prediction