An effective microscopic model for plasmonic sensing of malaria

Abstract: An effective microscopic model for plasmonic sensing is developed and studied in this work. The model is applied to a reference sensor made from a plasmonic metasurface comprised of an array of nanoholes 150 nm in diameter patterned in a 150 nm thick gold film. The sensor is functionalized to detect plasmodium lactate dehydrogenase (pLDH), a malaria biomarker. The biochemistry above the sensor's metasurface is modelled as stacks of closely packed adlayers. Using the Maxwell Garnett effective medium theory we link the refractive index of the pLDH biomarker adsorbed layer to the bulk concentration of the biomarker in the buffer. The effective microscopic model we then develop accounts for the combined optical properties of the biochemistry matrix, bound pLDH, and the buffer medium. By simulating the sensor using the finite element method and an approximate analytical method, the effective model allows us to determine the sensor response, predict binding interactions, and quantify concentration changes on the sensor surface. We calculate the sensor sensitivity for the reference sensor and the theoretical limit of detection (LOD) based on spectral and transmission sensing interrogation. The lowest LOD calculated based on the model is 0.02 nM of pLDH, equivalent to 0.70 ng/mL. The effective model is quite general and could be applied to other types of plasmonic biosensors and biomarkers of different diseases. It may therefore aid in the design of new optical biosensors with improved performance.