Paper
22 February 2012 Optimization of a localized surface plasmon resonance biosensor for heat shock protein 70
R. C. Denomme, Z. Young, L. Brock, P. M. Nieva, M. M. Vijayan
Author Affiliations +
Abstract
Localized surface plasmon resonance, a property characteristic of metal nanoparticles, is a promising technique for the development of low cost, rapid, and portable biosensors for a variety of medical diagnostic applications. In order to meet the demanding detection limits required for many such applications, performance improvements are required. Designing nanoparticle structures to maximize refractive index sensitivity and optimize the electromagnetic field decay length is one approach to achieving better performance. However, experimentally finding the optimal nanoparticle structure, as has been done in the past, is time consuming and costly, and needs to be done for each biomolecule of interest. Instead, simulations can be used to find the optimal nanoparticle design prior to fabrication. In this paper, we present a numerical modeling technique that allows the design of optimal nanoparticles for LSPR biosensors, and report on the effect of the size and shape of gold nanoparticles on the sensitivity and decay length. The results are used to determine the optimal nanoparticle geometry for an LSPR immunosensor for heat shock protein 70, an important protein with applications in medical and wildlife diagnostics. Our simulations show an improvement of 373% in sensor response when using the optimal configuration, showcasing the significant advantages of proper nanoparticle design.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
R. C. Denomme, Z. Young, L. Brock, P. M. Nieva, and M. M. Vijayan "Optimization of a localized surface plasmon resonance biosensor for heat shock protein 70", Proc. SPIE 8269, Photonic and Phononic Properties of Engineered Nanostructures II, 82692G (22 February 2012); https://doi.org/10.1117/12.908888
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KEYWORDS
Nanoparticles

Sensors

Proteins

Biosensors

Prisms

Refractive index

Absorbance

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