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Detection of Trace Heavy Metal Ions Using Carbon Nanotube‐ Modified Electrodes

Morton, Jeffrey, Havens, Nathaniel, Mugweru, Amos, Wanekaya, Adam K.·2009·Electroanalysis

Abstract

A sensitive voltammetric method for detection of trace heavy metal ions using chemically modified carbon nanotubes (CNTs) electrode surfaces is described. The CNTs were covalently modified with cysteine prior to casting on electrode surfaces. Cysteine is an amino acid with high affinities towards some heavy metals. In this assay, heavy metals ions accumulated on the cysteine‐modified CNT electrode surfaces prior to being subjected to differential pulse anodic stripping voltammetry analysis. The resulting peak currents were linearly related to the concentrations of the metal ions. The method was optimized with respect to accumulation time, reduction time and reduction potential. The detection limits were found to be 1 ppb and 15 ppb for Pb 2+ and Cu 2+ respectively. The technique was used for the detection of Pb 2+ and Cu 2+ in spiked lake water. The average recoveries of Pb 2+ and Cu 2+ were 96.2% and 94.5% with relative standard deviations of 8.43% and 7.53% respectively. The potential for simultaneous detection of heavy metal ions by the modified CNTs was also demonstrated.

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Metadata

Authors
Morton, J., Havens, N., Mugweru, A., & Wanekaya, A. K.
Venue
Electroanalysis
Publisher
Wiley
Published
2009-07
Volume
21
Issue
14
Pages
1597-1603
ISSN
  • 1040-0397 (ISSN-L)
  • 1521-4109
OpenAlex
W2020817023
Cited by
178
References
2
FWCI
5.87
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Detection of Trace Heavy Metal Ions Using Carbon Nanotube‐ Modified Electrodes. https://app.cochat.ai/papers/10.1002/elan.200904588
The paper
Morton, J., Havens, N., Mugweru, A., & Wanekaya, A. K. (2009). Detection of Trace Heavy Metal Ions Using Carbon Nanotube‐ Modified Electrodes. Electroanalysis. https://doi.org/10.1002/elan.200904588

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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