The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Gold Nanoelectrode Ensembles for the Simultaneous Electrochemical Detection of Ultratrace Arsenic, Mercury, and Copper
Abstract
Simultaneous electrochemical detection of As(III), Hg(II), and Cu(II) using a highly sensitive platform based on gold nanoelectrode ensembles (GNEEs) is described. GNEEs were grown by colloidal chemical approach on thiol-functionalized solgel derived three-dimensional silicate network preassembled on a polycrystalline gold (Au) electrode. GNEEs on the silicate network have been characterized by field emission scanning electron microscopy, X-ray diffraction, diffuse reflectance spectroscopy, and electrochemical measurements. Square wave anodic stripping voltammetry (SWASV) has been used for the detection of As(III) and Hg(II) without any interference from Cu(II) at the potentials of 0.06 and 0.53 V, respectively. The GNEE electrode is highly sensitive, and it shows linear response for As(III) and Hg(II) up to 15 ppb. The detection limit (signal-to-noise ratio = 4) of the GNEE electrode toward As(III) and Hg(II) is 0.02 ppb, which is well below the guideline value given by the World Health Organization (WHO). The potential application of the GNEE electrode for the detection of As(III) in a real sample collected from the arsenic-contaminated water in 24 North Parganas, West Bengal is demonstrated. The GNEE electrode has been successfully used for the simultaneous detection of As(III), Cu(II), and Hg(II) at sub-part-per-billion level without any interference for the first time. The nanostructured electrode shows individual voltammetric peaks for As(III), Cu(II), and Hg(II) at 0.06, 0.35, and 0.53 V, respectively. The analytical performance of the GNEE electrode is superior to the existing electrodes.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Electrochemical Methods: Fundamentals and Applications
de Rooij, D. M. R. (2003) · Anti-Corrosion Methods and Materials · doi:10.1108/acmm.2003.12850eae.001 · Cited by 13,009
Arsenic round the world: a review
Mandal, B. K., & Suzuki, K. T. (2002) · Talanta · doi:10.1016/s0039-9140(02)00268-0 · Cited by 3,543
Arsenic speciation in the environment
Cullen, W. R., & Reimer, K. J. (1989) · Chemical Reviews · doi:10.1021/cr00094a002 · Cited by 2,587
Contamination of drinking-water by arsenic in Bangladesh: a public health emergency.
Smith, A. H., Lingas, E. O., & Rahman, M. (2000) · Europe PMC (PubMed Central) · Cited by 1,983
THE CHEMICAL CYCLE AND BIOACCUMULATION OF MERCURY
Morel, F. M. M., Kraepiel, A. M. L., & Amyot, M. (1998) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.ecolsys.29.1.543 · Cited by 1,627
Seeding of Colloidal Au Nanoparticle Solutions. 2. Improved Control of Particle Size and Shape
Brown, K. R., Walter, D. G., & Natan, M. J. (2000) · Chemistry of Materials · doi:10.1021/cm980065p · Cited by 944
Underpotential Deposition at Single Crystal Surfaces of Au, Pt, Ag and Other Materials
Herrero, E., Buller, L. J., & Abruña, H. D. (2001) · Chemical Reviews · doi:10.1021/cr9600363 · Cited by 934
Groundwater arsenic contamination in Bangladesh and West Bengal, India.
Chowdhury, U. K., Biswas, B. K., Chowdhury, T. R., Samanta, G., Mandal, B. K., Basu, G. C., Chanda, C. R., Lodh, D., Saha, K. C., Mukherjee, S. K., et al. (2000) · Environmental Health Perspectives · doi:10.1289/ehp.00108393 · Cited by 900
Arsenic: exposure and health effects
(1998) · Choice Reviews Online · doi:10.5860/choice.35-5073 · Cited by 799
Bockris, J. O., & Khan, S. U. M. (1993) · Springer eBooks · doi:10.1007/978-1-4615-3040-4 · Cited by 606
Cited by
Gold Nanoparticles in Chemical and Biological Sensing
Saha, K., Agasti, S. S., Kim, C., Li, X., & Rotello, V. M. (2012) · Chemical Reviews · doi:10.1021/cr2001178 · Cited by 4,620
A review on detection of heavy metal ions in water—An electrochemical approach
Gumpu, M. B., Sethuraman, S., Krishnan, U. M., & Rayappan, J. B. B. (2015) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2015.02.122 · Cited by 1,027
Electrochemical sensing in paper-based microfluidic devices
Nie, Z., Nijhuis, C. A., Gong, J., Chen, X., Kumachev, A., Martinez, A. W., Narovlyansky, M., & Whitesides, G. M. (2010) · Lab Chip · doi:10.1039/b917150a · Cited by 929
Ray, P. C. (2010) · Chemical Reviews · doi:10.1021/cr900335q · Cited by 773
Zhu, X., Liu, B., Hou, H., Huang, Z., Zeinu, K. M., Huang, L., Yuan, X., Guo, D., Hu, J., & Yang, J. (2017) · Electrochimica Acta · doi:10.1016/j.electacta.2017.07.084 · Cited by 388
Privett, B. J., Shin, J. H., & Schoenfisch, M. H. (2010) · Analytical Chemistry · doi:10.1021/ac101075n · Cited by 334
Metadata
- Authors
- Kumar Jena, B., & Retna Raj, C.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-04-30
- Volume
- 80
- Issue
- 13
- Pages
- 4836-4844
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W1974341480
- Cited by
- 352
- References
- 33
- FWCI
- 9.96
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.