SYSTEM AND METHOD FOR SIMULATING A LOCALIZED SURFACE PLASMON RESONANCE(LSPR) SPECTROMETER
A system and method for computationally simulating an LSPR spectrometer is described herein. The method includes reading a target peak wavelength, using a mathematical model of an LSPR spectrometer system to compute an absorbance/reflectance spectrum, using a mathematical model of an LSPR spectrometer system and an illumination source spectrum to compute an absorbed/reflected spectrum of optical dispersion, and perturbing the absorbed/reflected spectrum with imaging noise.
1 . A method for computationally simulating an LSPR spectrometer system, the method comprising:
a. reading a target peak wavelength;
b. using a mathematical model of the LSPR spectrometer system to compute an absorbance/reflectance spectrum;
c. using the mathematical model of the LSPR spectrometer system and an illumination source spectrum to compute an absorbance/reflectance spectrum of optical dispersion; and
d. perturbing the absorbed/reflected spectrum with optical dispersion imaging noise to create a noise perturbed spectrum.
2 . The method of claim 1 wherein the noise perturbed spectrum is stored as a 2D image.
3 . The method of any one of the preceding claims , wherein the absorbance/reflectance spectrum is computed using Mie theory.
4 . The method of any one of the preceding claims , wherein the absorbance/reflectance spectrum is computed using a log-normal function.
5 . The method of any one of the preceding claims , wherein the optical dispersion imaging noise is modeled using a 2D convolution.
6 . The method of any one of the preceding claims , wherein the imaging noise is photon noise.
7 . The method of any one of the preceding claims , wherein the target peak wavelength is computed using a binding kinetics reaction simulator.
8 . A method for computationally simulating a binding kinetics reaction, the method comprising:
a. choosing a binding kinetics model and parameters for the binding kinetics model;
b. using the binding kinetics model to compute a binding response as a function of time;
c. discretizing the binding response into a plurality of discrete time instances; and
d. finding the peak wavelength corresponding to each discrete time instant.
9 . The method of claim 8 , wherein the binding kinetics model is Langmuir 1:1
10 . The method of claim 8 , wherein the binding kinetics model is Langmuir 1:1 with mass transport limitations.
11 . The method of claim 8 , wherein the binding kinetics model is Langmuir 1:1 with drift.
12 . The method of claim 8 , wherein the binding kinetics model is a two-state conformation model.
13 . The method of claim 8 , wherein the binding kinetics model is a bivalent analyte model.
14 . The method of claim 8 , wherein the binding kinetics model is a heterogeneous analyte model.
15 . The method of claim 8 , wherein the binding kinetics model is a heterogeneous ligand model.
16 . The method of claim 8 wherein the binding response is computed using numerical integration of the binding kinetics model.