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Electrochemical determination of arsenic in natural waters using carbon fiber ultra-microelectrodes modified with gold nanoparticles

We have developed an anodic stripping voltammetry method that employs carbon fiber ultra-microelectrodes modified with gold nanoparticles to determine arsenic in natural waters. Gold nanoparticles were potentiostatically deposited on carbon fiber ultra-microelectrodes at ?0.90 V (vs SCE) for a time...

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Autor Principal: Fern?ndez Mart?nez, Lenys Mercedes
Formato: Artículos
Lenguaje:eng
Publicado: Netherlands 2017
Materias:
CARBON FIBER ULTRA-MICROELECTRODES
ARSENIC ELECTROCHEMICAL DETECTION
GOLD NANOPARTICLES
ANODIC STRIPPING VOLTAMMETRY
Acceso en línea:http://repositorio.educacionsuperior.gob.ec/handle/28000/3808
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spelling oai:localhost:28000-38082017-11-09T22:43:46Z Electrochemical determination of arsenic in natural waters using carbon fiber ultra-microelectrodes modified with gold nanoparticles Fern?ndez Mart?nez, Lenys Mercedes CARBON FIBER ULTRA-MICROELECTRODES ARSENIC ELECTROCHEMICAL DETECTION GOLD NANOPARTICLES ANODIC STRIPPING VOLTAMMETRY We have developed an anodic stripping voltammetry method that employs carbon fiber ultra-microelectrodes modified with gold nanoparticles to determine arsenic in natural waters. Gold nanoparticles were potentiostatically deposited on carbon fiber ultra-microelectrodes at ?0.90 V (vs SCE) for a time of 15 s, to form the carbon fiber ultra-microelectrodes modified with gold nanoparticles. Cyclic voltammetry, electrochemical impedance spectroscopy and scanning electron microscopy coupled to an X-ray microanalysis system were used to check and confirm the presence of gold nanoparticles on the carbon fiber ultra-microelectrodes. Arsenic detection parameters such as deposition potential and deposition time were optimized allowing a detection range between 5 to 60 ?g L-1. The developed modified electrodes allowed rapid As determination with improved analytical characteristics including better repeatability, higher selectivity, lower detection limit (0.9 ?g L-1) and higher sensitivity (0.0176 nA ?g L-1) as compared to the standard carbon electrodes. The analytical capability of the optimized method was demonstrated by determination of arsenic in certified reference materials (trace elements in water (NIST SRM 1643d)) and by comparison of results with those obtained by hydride generation atomic absorption spectrometry (HG-AAS) in the determination of the analyte in tap and well waters. http://www.sciencedirect.com/science/article/pii/S003991401730156X?via%3Dihub#! 2017-04-12T17:46:15Z 2017-04-12T17:46:15Z 2017 article Carrera, P., Espinoza-Montero, P., Fern?ndez, L., et al. (2017). Electrochemical determination of arsenic in natural waters using carbon fiber ultra-microelectrodes modified with gold nanoparticles. Talanta. Paises Bajos. Volume 166, pp. 198-206 00399140 http://repositorio.educacionsuperior.gob.ec/handle/28000/3808 eng DOI;doi.org/10.1016/j.talanta.2017.01.056 restrictedAccess http://creativecommons.org/licenses/by-nc-sa/3.0/ec/ pp. 198-206 Netherlands
institution SENESCYT
collection Repositorio SENESCYT
biblioteca Biblioteca Senescyt
language eng
format Artículos
topic CARBON FIBER ULTRA-MICROELECTRODES
ARSENIC ELECTROCHEMICAL DETECTION
GOLD NANOPARTICLES
ANODIC STRIPPING VOLTAMMETRY
spellingShingle CARBON FIBER ULTRA-MICROELECTRODES
ARSENIC ELECTROCHEMICAL DETECTION
GOLD NANOPARTICLES
ANODIC STRIPPING VOLTAMMETRY
Fern?ndez Mart?nez, Lenys Mercedes
Electrochemical determination of arsenic in natural waters using carbon fiber ultra-microelectrodes modified with gold nanoparticles
description We have developed an anodic stripping voltammetry method that employs carbon fiber ultra-microelectrodes modified with gold nanoparticles to determine arsenic in natural waters. Gold nanoparticles were potentiostatically deposited on carbon fiber ultra-microelectrodes at ?0.90 V (vs SCE) for a time of 15 s, to form the carbon fiber ultra-microelectrodes modified with gold nanoparticles. Cyclic voltammetry, electrochemical impedance spectroscopy and scanning electron microscopy coupled to an X-ray microanalysis system were used to check and confirm the presence of gold nanoparticles on the carbon fiber ultra-microelectrodes. Arsenic detection parameters such as deposition potential and deposition time were optimized allowing a detection range between 5 to 60 ?g L-1. The developed modified electrodes allowed rapid As determination with improved analytical characteristics including better repeatability, higher selectivity, lower detection limit (0.9 ?g L-1) and higher sensitivity (0.0176 nA ?g L-1) as compared to the standard carbon electrodes. The analytical capability of the optimized method was demonstrated by determination of arsenic in certified reference materials (trace elements in water (NIST SRM 1643d)) and by comparison of results with those obtained by hydride generation atomic absorption spectrometry (HG-AAS) in the determination of the analyte in tap and well waters.
author Fern?ndez Mart?nez, Lenys Mercedes
author_facet Fern?ndez Mart?nez, Lenys Mercedes
author_sort Fern?ndez Mart?nez, Lenys Mercedes
title Electrochemical determination of arsenic in natural waters using carbon fiber ultra-microelectrodes modified with gold nanoparticles
title_short Electrochemical determination of arsenic in natural waters using carbon fiber ultra-microelectrodes modified with gold nanoparticles
title_full Electrochemical determination of arsenic in natural waters using carbon fiber ultra-microelectrodes modified with gold nanoparticles
title_fullStr Electrochemical determination of arsenic in natural waters using carbon fiber ultra-microelectrodes modified with gold nanoparticles
title_full_unstemmed Electrochemical determination of arsenic in natural waters using carbon fiber ultra-microelectrodes modified with gold nanoparticles
title_sort electrochemical determination of arsenic in natural waters using carbon fiber ultra-microelectrodes modified with gold nanoparticles
publisher Netherlands
publishDate 2017
url http://repositorio.educacionsuperior.gob.ec/handle/28000/3808
_version_ 1634995192602820608
score 11,871979

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