Derivatization reaction-based surface-enhanced Raman scattering (SERS) for detection of trace acetone

被引:19
作者
Zheng, Ying [1 ]
Chen, Zhuo [1 ]
Zheng, Chengbin [1 ]
Lee, Yong-Ill [3 ]
Hou, Xiandeng [1 ,2 ]
Wu, Li [2 ]
Tian, Yunfei [2 ]
机构
[1] Sichuan Univ, Coll Chem, Key Lab Green Chem & Technol MOE, Chengdu 610064, Sichuan, Peoples R China
[2] Sichuan Univ, Analyt & Testing Ctr, Chengdu 610064, Sichuan, Peoples R China
[3] Changwon Natl Univ, Dept Chem, Changwan 641773, South Korea
关键词
Surface-enhanced Raman scattering; Derivatization reaction; Ag IMNPs; Acetone; Urine; FUNCTIONALIZED SILVER NANOPARTICLES; MERCURIC ION II; WATER SAMPLES; FACILE METHOD; SPECTROSCOPY; SENSOR; IDENTIFICATION; METABOLISM; DIOXIDE; PH;
D O I
10.1016/j.talanta.2016.04.024
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
A facile method was developed for determination of trace volatile acetone by coupling a derivatization reaction to surface-enhanced Raman scattering (SERS). With iodide modified Ag nanoparticles (Ag IMNPs) as the SERS substrate, acetone without obvious Raman signal could be converted to SERS-sensitive species via a chemical derivatization reaction with 2,4-dinitrophenylhydrazine (2,4-DNPH). In addition, acetone can be effectively separated from liquid phase with a purge-sampling device and then any serious interference from sample matrices can be significantly reduced. The optimal conditions for the derivatization reaction and the SERS analysis were investigated in detail, and the selectivity and reproducibility of this method were also evaluated. Under the optimal conditions, the limit of detection (LOD) for acetone was 5 mg L-1 or 0.09 mM (3 sigma). The relative standard deviation (RSD) for 80 mg L-1 acetone (n=9) was 1.7%. This method was successfully used for the determination of acetone in artificial urine and human urine samples with spiked recoveries ranging from 92% to 110%. The present method is convenient, sensitive, selective, reliable and suitable for analysis of trace acetone, and it could have a promising clinical application in early diabetes diagnosis. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:87 / 93
页数:7
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