Issue 1, 2017

A label-free SERRS-based nanosensor for ultrasensitive detection of mercury ions in drinking water and wastewater effluent

Abstract

Precisely probing mercury ions (Hg2+) is of essential importance to human health and environmental protection. Although numerous methods have been developed to detect Hg2+ in water, challenges still remain for rapid, accurate, and reliable detection of Hg2+ at the ppt level. In this study, a novel label-free Fe3O4@Ag based surface-enhanced Raman resonance scattering (SERRS) nanosensor has been developed for ultrasensitive and highly selective detection of Hg2+. The detection mechanism is on the basis of competitive binding interaction of Hg2+ and malachite green (MG) with nano-sliver on Fe3O4@Ag magnetic beads (MBs). In the absence of Hg2+, the Raman signal intensity of MG is significantly enhanced by the nano-silver when MG adsorbs on the nano-silver surface via one nitrogen atom. In the presence of Hg2+, the redox reaction occurring between zero-valent nano-silver and Hg2+ leads to the formation of a Ag/Hg amalgam at the Fe3O4@Ag surface, which prevents the adsorption of MG on the nano-silver surface. Thereby, the SERRS signal intensity of MG proportionally decreased with increasing Hg2+ concentration. Under optimized conditions, the proposed label-free nanosensor showed unprecedented Hg2+ detection sensitivity of 10 pM (2 ppt) with excellent selectivity. This simple sensor system can be directly applied for an inexpensive and easy-to-use monitoring method of Hg2+ in drinking water and wastewater treatment effluents that contains complicated organic and inorganic interferents.

Graphical abstract: A label-free SERRS-based nanosensor for ultrasensitive detection of mercury ions in drinking water and wastewater effluent

Supplementary files

Article information

Article type
Paper
Submitted
23 Aug 2016
Accepted
21 Nov 2016
First published
22 Nov 2016

Anal. Methods, 2017,9, 154-162

A label-free SERRS-based nanosensor for ultrasensitive detection of mercury ions in drinking water and wastewater effluent

D. Song, R. Yang, H. Wang, W. Li, H. Wang, H. Long and F. Long, Anal. Methods, 2017, 9, 154 DOI: 10.1039/C6AY02361D

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