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Fabrication of a Dipole-assisted Solid Phase Extraction Microchip for Trace Metal Analysis in Water Samples
Published on: August 7, 2016
Surface-enhancement Raman scattering sensing strategy for discriminating trace mercuric ion (II) from real water
Bin Sun1, Xiangxu Jiang, Houyu Wang
1Institute of Functional Nano and Soft Materials (FUNSOM) and Collaborative Innovation Center of Suzhou Nano Science and Technology, Soochow University , Suzhou, Jiangsu 215123, China.
Abstract:
It is of essential importance to precisely probe mercury(II) (Hg(2+)) ions for environment-protection analysis and detection. To date, there still remain major challenges for accurate, specific, and reliable detection of Hg(2+) ions at subppt level. We herein employ gold nanoparticles (AuNPs) decorated silicon nanowire array (SiNWAr) as active surface-enhanced Raman scattering (SERS) substrates to construct a high-performance sensing platform assisted by DNA technology, enabling ultrasensitive detection of trace Hg(2+) in ∼64 min and with low sample consumption (∼30 μL). Typically, strong SERS signals could be detected when the single-stranded DNA structure converts to the hairpin structure in the presence of Hg(2+) ions, due to the formation of thymine (T)-Hg(2+)-T. As a result, Hg(2+) ions with a low concentration of 1 pM (0.2 ppt) can be readily discriminated, much lower than those (∼nM) reported for conventional analytical strategies. Water samples spiked with various Hg(2+) concentrations are further tested, exhibiting a good linear relationship between the normalized Raman intensities and the logarithmic concentrations of Hg(2+) ranging from 1 pM to 100 nM, with a correlation coefficient of R(2) = 0.998. In addition, such SERS sensor features excellent selectivity, facilely distinguishing Hg(2+) ions from various interfering substances. Moreover, this presented SERS sensor possesses good recyclability, preserving adaptable reproducibility during 5-time cyclic detection of Hg(2+). Furthermore, unknown Hg(2+) concentration in river water can be readily determined through our sensing strategy in accurate and reliable manners, with the RSD value of ∼9%.

