Your browser doesn't support javascript.
loading
Quantification of functional crosslinker reaction kinetics via super-resolution microscopy of swollen microgels.
Karanastasis, Apostolos A; Kenath, Gopal S; Sundararaman, Ravishankar; Ullal, Chaitanya K.
Afiliação
  • Karanastasis AA; Department of Materials Science and Engineering, Rensselaer Polytechnic Institute, 110 8th Street, Troy, New York 12180, USA. ullalc@rpi.edu.
  • Kenath GS; Department of Materials Science and Engineering, Rensselaer Polytechnic Institute, 110 8th Street, Troy, New York 12180, USA. ullalc@rpi.edu.
  • Sundararaman R; Department of Materials Science and Engineering, Rensselaer Polytechnic Institute, 110 8th Street, Troy, New York 12180, USA. ullalc@rpi.edu.
  • Ullal CK; Department of Materials Science and Engineering, Rensselaer Polytechnic Institute, 110 8th Street, Troy, New York 12180, USA. ullalc@rpi.edu.
Soft Matter ; 15(45): 9336-9342, 2019 Dec 07.
Article em En | MEDLINE | ID: mdl-31687735
ABSTRACT
Super resolution microscopy (SRM) brings the advantages of optical microscopy to the imaging of nanostructured soft matter, and in colloidal microgels, promises to quantify variations of crosslink densities at unprecedented length scales. However, the distribution of all crosslinks does not coincide with that of dye-tagged crosslinks, and density quantification in SRM is not guaranteed due to over/under-counting dye molecules. Here we demonstrate that SRM images of microgels encode reaction rate constants of functional cross linkers, which hold the key to correlating these distributions. Combined with evolution of microgel particle radii, the functional cross linker distributions predict consumption versus time with high fidelity. Using a Bayesian regression approach, we extract reaction rate constants for homo and cross propagation of the functional crosslinker, which should be widely useful for predicting spatial variations in crosslink density of gels.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Soft Matter Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Soft Matter Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos