Literature DB >> 28107992

Designing of ordered two-dimensional gold nanoparticles film for cocaine detection in human urine using surface-enhanced Raman spectroscopy.

Juan Meng1, Xianghu Tang1, Binbin Zhou1, Qiwen Xie2, Liangbao Yang3.   

Abstract

A novel and rapid method to detect cocaine in human urine has been developed by using self-assembly ordered two dimensional (2D) gold nanoparticles (GNPs) film as surface-enhanced Raman spectroscopy (SERS) substrates. In order to obtain high sensitivity, uniformity, and reproducibility of SERS platform, quasi-spherical, uniform GNPs were firstly synthesis using seed growth method, in which the GNPs have been functionalized with CTAB to form orderly close-packed GNPs film as SERS substrate. Importantly, the high-performance GNPs on solid substrates can produce a high yield of sub-10-nm gaps which can generate gigantic signals enhancement for analytes adsorbed GNPs surface. In view of the complex component of human urine, we develop a rapid and efficient pretreatment strategy for separation and purification of cocaine by using hexane extraction in real human urine samples within 3min. With the advantages of better extraction rates (>75%) examined by ultraperformance liquid chromatography (UPLC) and the excellent signal-to-noise ratio detected by SERS, our pretreatment procedure can efficiently lower the interference of complex biological components in urine. To reach on-spot analyzer, a handheld Raman spectrometer was used for feasible SERS detection of cocaine in real human urine. The favorable results demonstrated our pretreatment strategy combined with SERS platform will be a great prospective method toward rapid, reliable, and on-spot cocaine detection for public safety.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cocaine; Liquid-liquid microextraction; Self-assembly; Surface-enhanced Raman spectroscopy; Urine

Mesh:

Substances:

Year:  2016        PMID: 28107992     DOI: 10.1016/j.talanta.2016.10.101

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  7 in total

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  7 in total

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