Quantitatively Determining of Population Ratios in Bimodal Polymeric Solutions by Neutron Scattering

ORAL

Abstract

Association of amphiphilic polymers in aqueous solutions is of fundamental importance. The coexistence of unimers and aggregates over a broad range of phase regions has been widely reported. Although scattering technique has been employed to identify the structure of micellar aggregates and free unimers as well as its time-evolution processes, the determination of their relative population of unimer and aggregate itself is still challenging. Here, using small angle neutron scattering, we present a comprehensive SANS study of n-dodecyl-PNIPAm. By adjusting the deuterium/hydrogen ratio of water, the intra-micellar polymer and water distributions are obtained. The micellar aggregation number and number density are further determined. Most importantly, the distributions of unimers and micellar aggregations at different temperatures are obtained quantitatively for the first time.

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SANS experiment was carried out on EQ-SANS at SNS and polymer synthesis and characterization was performed at CNMS; both are DOE Office of Science User Facilities. part of the research (data analysis) was supported by the Laboratory Directed Research and Development Program at ORNL

Presenters

  • Guan-Rong Huang

    • Oak Ridge National Lab

Authors

  • Guan-Rong Huang

    • Oak Ridge National Lab
  • Kunlun Hong

    • Oak Ridge National Lab
    • Oak Ridge National Laboratory
    • Center for Nanophase Materials Sciences, Oak Ridge National Laboratory
  • Chi-Huan Tung

    • Oak Ridge National Lab
    • Natl Tsing Hua Univ
  • Dongsook Chang

    • Oak Ridge National Lab
  • Christopher N Lam

    • Oak Ridge National Lab
  • Changwoo Do

    • Oak Ridge National Lab
  • Yuya Shinohara

    • Oak Ridge National Lab
    • Oak Ridge National Laboratory
  • Shou-Yi Chang

    • National Tsing Hua University
    • Natl Tsing Hua Univ
  • Yangyang Wang

    • Oak Ridge National Lab
    • Oak Ridge National Laboratory
  • Wei-Ren Chen

    • Oak Ridge National Lab