4.7 Article

Automated Parallel Dialysis for Purification of Polymers

Journal

POLYMERS
Volume 14, Issue 22, Pages -

Publisher

MDPI
DOI: 10.3390/polym14224835

Keywords

polymer libraries; purification; automation; dialysis; high-throughput; -output experimentation

Funding

  1. Consejo Nacional de Ciencia y Tecnologia (CONACYT, Mexico)
  2. Fondo para la Investigacion Cientifica y Tecnologica (FONCYT, Mexico)
  3. Consejo Estatal de Ciencia y Tecnologia del Estado de Coahuila (COECYT, Mexico) [COAH-2019-C13-B02]
  4. Deutsche Forschungsgemeinschaft (DFG) [1278, 316213987]

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This article discusses a dialysis method implemented in a commercially available automated parallel synthesizer. The method enables efficient removal of unreacted monomers from polymer synthesis, with up to 99% removal rate. The molar mass and distribution of the investigated polymers remain unchanged after purification. This method provides a good alternative for unattended and reliable purification of polymer libraries.
The implementation of a dialysis method for the simultaneous purification of different polymer materials in a commercially available automated parallel synthesizer (APS) is discussed. The efficiency of this unattended automated parallel dialysis (APD) method was investigated by means of proton nuclear magnetic resonance (H-1-NMR) measurements, which confirmed that the method enables the removal of up to 99% of the unreacted monomer derived from the synthesis of the corresponding polymers in the APS. Size-exclusion chromatography (SEC) revealed that the molar mass and molar mass distribution of the investigated polymers did not undergo significant changes after the application of the APD method. The method discussed herein can be regarded as a good alternative to the unattended and reliable purification of polymer libraries prepared in APS. This method may be useful for overcoming current limitations of high-throughput/-output (HT/O) synthesis of polymer libraries, where purification of the generated materials currently represents a significant constraint for establishing fully automated experimental workflows necessary to advance towards a full digitalization of research and development of new polymers for diverse applications.

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