Entangled
Nanoplasmonic Cavities for Estimating Thickness
of Surface-Adsorbed Layers
Posted on 2020-07-07 - 17:34
Plasmonic
sensors provide real-time and label-free detection of
biotargets with unprecedented sensitivity and detection limit. However,
they usually lack the ability to estimate the thickness of the target
layer formed on top of the sensing surface. Here, we report a sensing
modality based on reflection spectroscopy of a nanoplasmonic Fabry–Perot
cavity array, which exhibits characteristics of both surface plasmon
polaritons and localized plasmon resonances and outperforms its conventional
counterparts by providing the thickness of the surface-adsorbed layers.
Through numerical simulations, we demonstrate that the designed plasmonic
surface resembles two entangled Fabry–Perot cavities excited
from both ends. Performance of the device is evaluated by studying
sensor response in the refractive index (RI) measurement of aqueous
glycerol solutions and during formation of a surface-adsorbed layer
consisting of protein (i.e., NeutrAvidin) molecules.
By tracking the resonance wavelengths of the two modes of the nanoplasmonic
surface, it is therefore possible to measure the thickness of a homogeneous
adsorbed layer and RI of the background solution with precisions better
than 4 nm and 0.0001 RI units. Using numerical simulations, we show
that the thickness estimation algorithm can be extended for layers
consisting of nanometric analytes adsorbed on an antibody-coated sensor
surface. Furthermore, performance of the device has been evaluated
to detect exosomes. By providing a thickness estimation for adsorbed
layers and differentiating binding events from background RI variations,
this device can potentially supersede conventional plasmonic sensors.
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Mataji-Kojouri, Amideddin; Ozen, Mehmet Ozgun; Shahabadi, Mahmoud; Inci, Fatih; Demirci, Utkan (1753). Entangled
Nanoplasmonic Cavities for Estimating Thickness
of Surface-Adsorbed Layers. ACS Publications. Collection. https://doi.org/10.1021/acsnano.0c02797