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doi: 10.4121/21197290

Benjamin Klemm; Irene Piergentili; Lewis, Reece; Eelkema, Rienk (2022): Data underlying the paper: Temporally programmed polymer-solvent interactions using a chemical reaction network. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21197290.v1

Dataset

• Organic Chemistry
• Macromolecular and Materials Chemistry

autonomously responding materials, Chemical reaction networks (CRNs), polymer-solvent interactions, stimuli-responsive materials

CC BY-NC 4.0

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by Benjamin Klemm , Irene Piergentili , Reece Lewis , Rienk Eelkema

The data underlines the paper: Temporally programmed polymer-solvent interactions using a chemical reaction network. In this work a new modular chemical reaction network (CRN) was developed, which enables reversible formation of positive charges on a tertiary amine substrate, which are removed using nucleophilic signals that control the deactivation kinetics. The modular nature of the CRN enables incorporation in diverse polymer materials, leading to a temporally programmed transition from collapsed and hydrophobic to solvated, hydrophilic polymer chains by controlling polymer-solvent interactions. Depending on the layout of the CRN, we can create stimuli-responsive or autonomously responding materials.

• 2022-09-26 first online, published, posted

4TU.ResearchData

NMR data/.mnova/.fid, DLS data/.xlsx, TEM data/.xlsx/.tif, Fluorescence data/.xlsx, hydrogel data/.xlsx/.ai, GPC data/.xlsx and ESI-MS data/.xps/.jp2/.pdf.

• European Research Council (ERC Consolidator Grant Nr. 726381)
• Signal Transduction in Organic Materials (grant code 726381) [more info...] European Research Council

TU Delft, Faculty of Applied Sciences, Department of Chemical Engineering