Polymer-grafted Gold Nano Capsules as Reversible Colorimetric Sensors

ORAL

Abstract

Colloidal colorimetric microsensors have been shown to enable the in-situ detection of mechanical loads within materials [1,2]. Enhancing the sensitivity of these sensors to small scale loads and deformation while enabling reversibility of the sensing capability would expand their utility in various applications including biosensing and chemical sensing [3]. In this presentation, we introduce the synthesis of nano-sized multifunctional colloidal colorimetric sensors using a simple and versatile fabrication method. Multifunctional colloidal nano-sensors (NS) are prepared by emulsion-templated assembly of polystyrene grafted gold nanoparticles. We have explored a potential application of these NSs as mechanical sensors. Gold nanoparticle-based NSs are embedded in an elastomer matrix. The addition of a plasticizer imparts flexibility to the NSs. The plasmonic peak of the NSs shifts towards lower wavelengths upon application of uniaxial tension on the gold NSs/PDMS composite, indicating increased particle-to-particle distance. The composite recovers its original plasmonic peak upon the release of the strain, demonstrating reversibility. This study provides a robust and easily scalable method of producing sensors that can potentially detect the presence of chemicals or small strain present at the nanoscale in biological cells.

*The authors thank the ANRT, GIE AIFOR, CNRS, and Solvay for financial support. The authors acknowledge the support of the French National Agency of Research (ANR) to the project REACT through the grant ANR15-PIRE-0001-06. SEM imaging was performed in facilities supported by the NSF MRSEC program under award No DMR-1720530. LN2 is an International Research Laboratory (IRL) funded and co-operated by Université de Sherbrooke (UdeS), Centre National de la Recherche Scientifique (CNRS), Ecole Centrale Lyon (ECL), Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université Grenoble Alpes (UGA). It is also financially supported by the Fond de Recherche du Québec Nature et Technologies FRQNT. RD acknowledges funding support from the Natural Sciences and Engineering Research Council of Canada (Discovery Grant).

Publication: [1] C. Burel, A. Alsayed, L. Malassis, C. B. Murray, B. Donnio, R. Dreyfus, Small 2017, 13, 1701925.
[2] C. Burel, O. Ibrahim, E. Marino, H. Bharti, C. B. Murray, B. Donnio, Z. Fakhraai, R. Dreyfus, ACS Appl. Mater. Interfaces 2022, 5, 2828.
[3] C. Burel, A. Teolis, A. Alsayed, C. B. Murray, B. Donnio, R. Dreyfus, Small 2020, 16, 1903897.

Presenters

  • Remi Dreyfus

    • CNRS

Authors

  • Remi Dreyfus

    • CNRS
  • Daeyeon Lee

    • University of Pennsylvania
  • Jaehyun Kim

    • University of Pennsylvania
  • Russell J Composto

    • University of Pennsylvania
  • Sean Choe

    • Solvay
  • Joseph Rosenfeld

    • UPENN
  • Yechan Kim

    • University of Pennsylvania
    • UPENN