文献类型：期刊文献

英文题名：A new SERS substrate based on silver nanoparticle functionalized polymethacrylate monoliths in a capillary, and it application to the trace determination of pesticides

作者：Pan, Yingcheng[1,2];Guo, Xiaoyu[3];Zhu, Jinglu[1,2];Wang, Xuan[1,2];Zhang, Han[1,2];Kang, Yan[1,2];Wu, Ting[1,2];Du, Yiping[1,2]

机构：[1]E China Univ Sci & Technol, Shanghai Key Lab Funct Mat Chem, Shanghai 200237, Peoples R China;[2]E China Univ Sci & Technol, Res Ctr Anal & Test, Shanghai 200237, Peoples R China;[3]Shanghai Normal Univ, Dept Chem, Shanghai 200234, Peoples R China

年份：2015

卷号：182

期号：9-10

起止页码：1775

外文期刊名：MICROCHIMICA ACTA

收录：;EI(收录号：20242616496836);WOS:【SCI-EXPANDED(收录号:WOS:000356449700024)】；

基金：This work was supported by the Shanghai Key Laboratory of Functional Materials Chemistry and the Fundamental Research Funds for the Central Universities (222201314039).

语种：英文

外文关键词：Capillary monoliths; SERS; Phosmet; Pesticides residual

摘要：We have developed a simple, sensitive and practical substrate for surface enhanced Raman scattering (SERS). It consists of a column material that is obtained by modifying the surface of (glycidyl methacrylate)-co-(ethylene dimethacrylate) capillary monoliths with silver nanoparticles. This new SERS column substrate was applied to the determination of 4-mercaptopyridine (4-Mpy) and Rhodamine 6G (R6G) to give detection limits as low as 100 and 10 pM, respectively. The calculated enhancement factor is approximately 1.2 x 10(8). This represents a substantial improvement over conventional colloidal substrates. The new substrate was applied to the determination of residues of the pesticide phosmet and gave a detection limit of 3 mu ga (TM) L-1, with a linear response in the 3 to 1000 mu ga (TM) L-1 concentration range (R-2 = 0.995). Additionally, 0.2 mga (TM) kg(-1) of phosmet on apples and oranges, and of 0.5 mga (TM) kg(-1) on tea leaves were detectable via SERS using this column along with a simple extraction process. The above LODs are well below the tolerance level prescribed by National Standard of China. Thus, this simple method is highly efficient, sensitive, and affordable and introduces a SERS-based trace detection suitable for real-world applications, especially for the determination of pesticides.