A Multiscale Approach to Modeling Plasmonic Nanorod Biosensors
Journal article, 2016

Due to their strongly enhanced optical near fields, plasmonic nanostructures are promising candidates as ultrasensitive label-free sensors of single molecule binding kinetics. However, the interpretation of nanoplasmonic sensing data is complicated by the spatial inhomogeneity of the near-field response and the stochastic nature of molecule-nanoparticle interactions, which makes it difficult to accurately count the number of adsorbed molecules per nanosensor. We combined electromagnetic calculations with stochastic diffusion-reaction simulations in order to investigate how these two sources of noise influence the uncertainty in measured molecular association and dissociation rate constants and concentration for the most common type of plasmonic nanosensor, the nanorod. Using this multiscale in silico tool, we show how to minimize the measurement uncertainty, and we identify the optimum nanorod aspect ratio for quantitative sensing.

Author

Tomasz Antosiewicz

Chalmers, Physics, Bionanophotonics

Mikael Käll

Chalmers, Physics, Bionanophotonics

Journal of Physical Chemistry C

1932-7447 (ISSN) 1932-7455 (eISSN)

Vol. 120 37 20692-20701

Subject Categories

Nano Technology

DOI

10.1021/acs.jpcc.6b01897

More information

Created

10/7/2017