Data underlying the paper: Temporally programmed polymer-solvent interactions using a chemical reaction network

DOI:10.4121/21197290.v1
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DOI: 10.4121/21197290
Datacite citation style:
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
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Dataset

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.

History

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

Publisher

4TU.ResearchData

Format

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.

Funding

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

Organizations

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

DATA

Files (1)