Published February 7, 2018 | Version v1
Journal article

Optoelectronic figure of merit of a metal nanoparticle—quantum dot (MNP-QD) hybrid molecule for assessing its suitability for sensing applications

  • 1. Advanced Computing and Simulation Laboratory (A chi L), Department of Electrical and Computer Systems Engineering, Monash University, Clayton, Victoria 3800 (Australia)
  • 2. School of Engineering and Information Technology, UNSW Canberra, Canberra BC, ACT 2610 (Australia)

Description

Recently, many have studied various configurations of metal nanoparticle-quantum dot (MNP-QD) hybrid molecules based on different metals and tunable parameters. In this paper, we aim to incite the interest in using MNP-QD nanohybrids, which possess sensing capabilities superior to those of the individual constituents, for sensing applications that rely on scattered light. When assessing whether a given MNP-QD configuration is suited for an application, sometimes it is hard to assess the pros and cons of a given configuration against other candidates. Here we propose a simple, elegant relative figure of merit (RFoM), which focuses on maximizing the scattered intensity and the refractive index sensitivity of the nanohybrid, to rank the suitability of viable MNP-QD configurations for a particular sensing application. We use the proposed RFoM to analyse the optical spectra of noble, transition, post transition and alkali metal based MNP-QD nanohybrids using the representative metals Au, Ag, Cu, Al and Na, adopting a generalized nonlocal optical response (GNOR) method based cavity QED approach. Based on our observations, we suggest how the usage of MNP-QD nanohybrids could improve the conventionally studied tumour targeting applications. Moreover, we propose potential substitutes for noble metals conventionally considered for MNP-QD nanohybrids. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1361-648X/aaa46d

Additional details

Identifiers

Publishing Information

Journal Title
Journal of Physics. Condensed Matter
Journal Volume
30
Journal Issue
5
Journal Page Range
[10 p.]
ISSN
0953-8984
CODEN
JCOMEL