Modeling a nanocantilever based biosensor using a stochastically perturbed harmonic oscillator

TL;DR

This paper models a nanocantilever biosensor as a stochastically perturbed harmonic oscillator to analyze how random fluctuations affect its vibrational frequency, aiding in understanding biosensor signal variability.

Contribution

It introduces a stochastic model for nanocantilever biosensors, capturing the impact of random fluctuations on their vibrational behavior, which was not thoroughly addressed before.

Findings

Fluctuations cause measurable changes in cantilever frequency.

Stochastic modeling explains variability in biosensor signals.

The model can predict sensor response under different noise conditions.

Abstract

Nanoscale biosensors are devices designed to detect analytes by combining biological components and physicochemical detectors. One of the well known methods of constructing these sensors is by using nanocantilevers. These microscopic 'diving boards' are coated with binding probes that have an affinity to a particular amino acid, enzyme or protein in living organisms. When these probes attract some target particles, such as biomolecules, they change the vibrating frequency of the cantilever. This process is random in nature and produces fluctuations in the frequency and damping of the cantilever. In this paper, we studied the effect of these fluctuations using a stochastically perturbed classical harmonic oscillator.