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CO2-Responsive Nano-Objects with Assembly-Related Aggregation-Induced Emission and Tunable Morphologies.

Liang Qiu, Haoran Zhang, Bo Wang

  • 1CAS Key Laboratory of Soft Matter Chemistry, Department of Polymer Science and Engineering , University of Science and Technology of China , Hefei 230026 , Anhui , People's Republic of China.

ACS Applied Materials & Interfaces
|December 10, 2019
PubMed
Summary

Researchers created CO2-responsive polymer nanoparticles using polymerization-induced self-assembly. These nanoparticles change shape in response to carbon dioxide, with a built-in feature to visualize these transformations.

Keywords:
CO2 responsivenessRAFT dispersion polymerizationaggregation-induced emissionpolymeric nano-objectspolymerization-induced self-assemblytunable morphologies

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Area of Science:

  • Polymer Chemistry
  • Materials Science
  • Nanotechnology

Background:

  • Polymerization-induced self-assembly (PISA) is a powerful technique for creating complex polymer architectures.
  • Stimuli-responsive nanomaterials are crucial for advanced applications, but controlling their morphology remains challenging.

Purpose of the Study:

  • To synthesize CO2-responsive polymeric nano-objects with aggregation-induced emission (AIE) properties.
  • To investigate the morphology evolution of these nano-objects under varying CO2 conditions.
  • To utilize AIE as a real-time monitoring tool for morphological changes.

Main Methods:

  • Utilized PISA of 2-(dimethylamino)ethyl methacrylate (DMAEMA), 2-(4-formylphenoxy)ethyl methacrylate (MAEBA), and 4-(1,2,2-triphenylvinyl)phenyl methacrylate (TPEMA).
  • Investigated morphology changes (spheres to vesicles) based on MAEBA feed.
  • Observed CO2-induced transformations from spheres to jellyfish/vesicles and vesicles to complex vesicles due to DMAEMA units.
  • Incorporated TPEMA for AIE to enable real-time monitoring.

Main Results:

  • Successfully synthesized CO2-responsive nano-objects with tunable morphologies.
  • Demonstrated CO2-triggered shape transformations from spheres to jellyfish and vesicles.
  • Confirmed the role of TPEMA in providing AIE for real-time visualization of morphology changes.
  • Established a correlation between MAEBA feed and initial nano-object morphology.

Conclusions:

  • The developed PISA strategy enables the creation of sophisticated, stimuli-responsive polymeric nanomaterials.
  • The CO2-responsiveness and AIE features offer a novel platform for monitoring and controlling nano-object assembly.
  • This work advances the design of tunable polymeric nanomaterials for diverse applications.