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Related Concept Videos

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Step growth polymerization involves bi or multifunctional monomers. Bifunctional monomers react to form linear step growth polymers, whereas multifunctional monomers react to form non-linear or branched polymers.
As the step-growth polymerization involves step-wise condensation of monomers, the molecular weight also builds up eventually. Consequently, high molecular weight polymers are obtained at the late stages of the polymerization, where 99% of monomers have been consumed.
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Step-growth or condensation polymerization is a stepwise reaction of bi or multifunctional monomers to form long-chain polymers. As all the monomers are reactive, most of the monomers are consumed at the early stages of the reaction to form small chains of reactive oligomers, which then combine to form long polymer chains in the late stages. Hence, the reaction has to proceed for a long time to achieve high molecular weight polymers.
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In-line Monitoring of Monomer and Polymer Content During Microgel Synthesis Using Precipitation Polymerization via

Julian Meyer-Kirschner1, Michael Kather2, Andrij Pich2

  • 1Aachener Verfahrenstechnik - Process Systems Engineering, RWTH Aachen University, Aachen, Germany.

Applied Spectroscopy
|January 27, 2016
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Summary

This study introduces Raman spectroscopy with Indirect Hard Modeling (IHM) for real-time microgel synthesis monitoring. This method accurately quantifies microgel formation and monomer conversion during precipitation polymerization.

Keywords:
In-line monitoringIndirect Hard ModelingMicrogelPolymerizationRaman spectroscopy

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Area of Science:

  • Polymer Chemistry
  • Spectroscopy
  • Process Analytical Technology

Background:

  • Microgel synthesis requires precise control over reaction parameters.
  • In-line monitoring is crucial for optimizing polymerization processes and ensuring product quality.
  • Traditional methods for monitoring microgel synthesis can be time-consuming and may not provide real-time data.

Purpose of the Study:

  • To develop and validate a Raman spectroscopy-based method for in-line monitoring of microgel synthesis.
  • To quantify microgel formation and monomer conversion during precipitation polymerization using Indirect Hard Modeling (IHM).
  • To establish a robust and accurate process analytical technology for microgel production.

Main Methods:

  • Utilized Raman spectroscopy for in-line data acquisition during microgel synthesis.
  • Employed multivariate Indirect Hard Modeling (IHM) regression with mechanistic models of pure component spectra (solvent, monomer, microgel).
  • Developed a comprehensive spectral model using parameterized peak functions (Gaussian-Lorentzian) for simultaneous quantification of monomer and microgel fractions.

Main Results:

  • Achieved low cross-validation errors (RMSECV) of 0.028 wt% for monomer and 0.084 wt% for microgel fractions.
  • Demonstrated that IHM reduced microgel RMSECV by a factor of two compared to linear CLS regression by accounting for non-linear spectral changes.
  • Successfully monitored the simultaneous decrease in monomer content and increase in microgel formation.
  • Confirmed the model's robustness against variations in microgel particle size and temperature.

Conclusions:

  • Raman spectroscopy combined with IHM provides an effective tool for in-line monitoring and quantification of microgel synthesis.
  • The developed interactive spectral model ensures mass balance and offers high accuracy in predicting component fractions.
  • This approach represents a significant advancement in process analytical technology for microgel production, enabling real-time process control and optimization.