Literature DB >> 15373441

Sonically assisted electroanalytical detection of ultratrace arsenic.

Andrew O Simm1, Craig E Banks, Richard G Compton.   

Abstract

A simple portable handheld electrochemical sensor with an integrated sound source for the detection of ultratrace quantities of arsenic using square wave anodic stripping voltammetry is described. The sensor uses low-frequency sound (250 Hz) during the arsenic deposition step to enhance the sensitivity of the arsenic stripping response. It is found that under quiescent (silent) conditions a detection limit of 2.1 x 10(-7) M with a sensitivity of 0.51 M(-1) A is achievable using a 120-s accumulation period, while applying low-frequency sound using a "sonotrode" reduced this detection limit to 3.7 x 10(-9) M with an increased sensitivity of 27.2 M(-1) A. Thus, the low-frequency sonotrode is shown to increase the sensitivity by ca. 50 times while reducing the limit of detection by 2 orders of magnitude. A study of the effect of copper contamination is carried out as well as analysis in real samples; it is found that although as expected copper detrimentally effects the arsenic limit of detection, it does not rise significantly above 10(-8) M levels. Copyright 2004 American Chemical Society

Entities:  

Year:  2004        PMID: 15373441     DOI: 10.1021/ac049331a

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  4 in total

Review 1.  Electrochemical sensors.

Authors:  Eric Bakker; Yu Qin
Journal:  Anal Chem       Date:  2006-06-15       Impact factor: 6.986

2.  Potentiometric biosensing of proteins with ultrasensitive ion-selective microelectrodes and nanoparticle labels.

Authors:  Karin Y Chumbimuni-Torres; Zong Dai; Nastassia Rubinova; Yun Xiang; Ernö Pretsch; Joseph Wang; Eric Bakker
Journal:  J Am Chem Soc       Date:  2006-10-25       Impact factor: 15.419

3.  Electrochemical Sensing toward Trace As(III) Based on Mesoporous MnFe₂O₄/Au Hybrid Nanospheres Modified Glass Carbon Electrode.

Authors:  Shaofeng Zhou; Xiaojuan Han; Honglei Fan; Yaqing Liu
Journal:  Sensors (Basel)       Date:  2016-06-22       Impact factor: 3.576

4.  Highly Sensitive and Selective Detection of Arsenic Using Electrogenerated Nanotextured Gold Assemblage.

Authors:  Noor-Ul-Ain Babar; Khurram Saleem Joya; Muhammad Arsalan Tayyab; Muhammad Naeem Ashiq; Manzar Sohail
Journal:  ACS Omega       Date:  2019-08-14
  4 in total

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