Multi-Element Analysis Based on an Automated On-Line Microcolumn Separation/Preconcentration System Using a Novel Sol-Gel Thiocyanatopropyl-Functionalized Silica Sorbent Prior to ICP-AES for Environmental Water Samples.
Multi-Element Analysis Based on an Automated On-Line Microcolumn Separation/Preconcentration System Using a Novel Sol-Gel Thiocyanatopropyl-Functionalized Silica Sorbent Prior to ICP-AES for Environmental Water Samples.
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DOI:
10.3390/molecules26154461
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发表时间:
2021-07-24
期刊:
影响因子:
--
通讯作者:
Anthemidis A
中科院分区:
文献类型:
--
作者:
Manousi N;Kabir A;Furton KG;Zachariadis GA;Anthemidis A
A sol-gel thiocyanatopropyl-functionalized silica sorbent was synthesized and employed for an automated on-line microcolumn preconcentration platform as a front-end to inductively coupled plasma atomic emission spectroscopy (ICP-AES) for the simultaneous determination of Cd(II), Pb(II), Cu(II), Cr(III), Co(II), Ni(II), Zn(II), Mn(II), Hg(II), and V(II). The developed system is based on an easy-to-repack microcolumn construction integrated into a flow injection manifold coupled directly to ICP-AES’s nebulizer. After on-line extraction/preconcentration of the target analyte onto the surface of the sorbent, successive elution with 1.0 mol L−1 HNO3 was performed. All main chemical and hydrodynamic factors affecting the effectiveness of the system were thoroughly investigated and optimized. Under optimized experimental conditions, for 60 s preconcentration time, the enhancement factor achieved for the target analytes was between 31 to 53. The limits of detection varied in the range of 0.05 to 0.24 μg L−1, while the limits of quantification ranged from 0.17 to 0.79 μg L−1. The precision of the method was expressed in terms of relative standard deviation (RSD%) and was less than 7.9%. Furthermore, good method accuracy was observed by analyzing three certified reference materials. The proposed method was also successfully employed for the analysis of environmental water samples.
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影响因子:
2
作者:
Anthemidis, Aristidis N.;Paschalidou, Magdalini
通讯作者:
Paschalidou, Magdalini
影响因子:
2.6
作者:
Manousi, Natalia;Kabir, Abuzar;Anthemidis, Aristidis
通讯作者:
Anthemidis, Aristidis
影响因子:
9.9
作者:
Menezes, ML;Moreira, JC;Campos, JTS
通讯作者:
Campos, JTS
影响因子:
7.4
作者:
Su, Cheng-Kuan;Lin, Jou-Yu
通讯作者:
Lin, Jou-Yu
影响因子:
6.1
作者:
Chen, Dahui;Hu, Bin;Huang, Chaozhang
通讯作者:
Huang, Chaozhang