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Optical fiber-based heavy metal detection using the Localized Surface Plasmon Resonance technique

Dhara, P., Kumar, R., Binetti, L., Nguyen, H., Alwis, L., Sun, T. and Grattan, K. T. V. ORCID: 0000-0003-2250-3832 (2019). Optical fiber-based heavy metal detection using the Localized Surface Plasmon Resonance technique. IEEE Sensors Journal,

Abstract

An innovative, reflection-based localized surface plasmon resonance (LSPR) fiber-optic sensor has been developed and demonstrated to detect the concentration of several heavy metal lead ions in an aqueous solution. By using a self-assembling technique, gold nanoparticles (Au NPs) have been immobilized on an optical fiber surface and functionalized with 1,1-Mercaptoundecanoic acid (MUA; HS(CH2)10CO2H) in order to make the fiber selective to each the important heavy metal ion, Pb2+ or Cd2+. The concentration of the heavy metal then can be determined from the link between binding rate and the shift of the LSPR resonance wavelength. The Pb2+ ion sensitivity of the sensor thus created has been determined to be 0.28 nm/mM, with a typical response time of 30 seconds. Importantly, the probe has been shown to be reversible through a simple process involving the use of Ethylenedinitrilotetraacetic acid (EDTA;(HO2CCH2)2NCH2 CH2N(CH2CO2H)2) chelator to remove the bound heavy metal ion.

Publication Type: Article
Additional Information: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Publisher Keywords: Optical fiber sensor, Gold nanoparticles, Heavy metal sensor, Localized surface plasmon resonance, Lead-chelator
Subjects: Q Science > QC Physics
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments: School of Mathematics, Computer Science & Engineering > Engineering > Electrical & Electronic Engineering
URI: http://openaccess.city.ac.uk/id/eprint/22314
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