The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Highly selective Hg2+ colorimetric sensor using green synthesized and unmodified silver nanoparticles
Open accessAbstract
Abstract The reaction between biologically green synthesized silver nanoparticles (Ag NPs) and mercury (II) ions was introduced as a new and high potential colorimetric sensor for the selective recognition and monitoring of mercuric ions in aqueous samples. The green synthesized silver nanoparticles were characterized with surface plasmon resonance (SPR) ultraviolet spectroscopy (UV–vis), SEM and X-ray diffraction analysis (XRD) techniques. The fresh biologically synthesized silver nanoparticles are yellowish-brown in color due to the intense SPR absorption band. In the presence of Hg 2+ , the yellow Ag NPs solution was turned to colorless, accompanying the broadening and blue shifting of SPR band. The sensitivity and selectivity of green prepared Ag NPs toward other representative transition-metal ions, alkali metal ions and alkaline earth metal ions were studied. Also the effect of the concentration of Hg 2+ to the Ag NPs was considered and the LOD for mercury (II) ion was 2.2 × 10 −6 mol L −1 . The proposed method has been successfully used for the determination of mercury (II) ions in various water samples.
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(1999) · Choice Reviews Online · doi:10.5860/choice.37-0940 · Cited by 14,314
Signaling Recognition Events with Fluorescent Sensors and Switches
de Silva, A. P., Gunaratne, H. Q. N., Gunnlaugsson, T., Huxley, A. J. M., McCoy, C. P., Rademacher, J. T., & Rice, T. E. (1997) · Chemical Reviews · doi:10.1021/cr960386p · Cited by 6,995
Standard Potentials in Aqueous Solution
Bard, A. J., Parsons, R., & Jordan, J. (2017) · Routledge eBooks · doi:10.1201/9780203738764 · Cited by 2,311
The toxicology of mercury—current exposures and clinical manifestations
Clarkson, T. W., Magos, L., & Myers, G. J. (2003) · New England Journal of Medicine · doi:10.1056/nejmra022471 · Cited by 1,766
Standard Potentials in Aqueous Solution.
Trasatti, S. (1987) · Bioelectrochemistry and Bioenergetics · doi:10.1016/0302-4598(87)80040-5 · Cited by 1,633
A molecular ruler based on plasmon coupling of single gold and silver nanoparticles
Sönnichsen, C., Reinhard, B. M., Liphardt, J., & Alivisatos, A. P. (2005) · Nature Biotechnology · doi:10.1038/nbt1100 · Cited by 1,523
Lee, J., Han, M. S., & Mirkin, C. A. (2007) · Angewandte Chemie International Edition · doi:10.1002/anie.200700269 · Cited by 1,308
Review: Environmental exposure to mercury and its toxicopathologic implications for public health
Tchounwou, P. B., Ayensu, W. K., Ninashvili, N., & Sutton, D. (2003) · Environmental Toxicology · doi:10.1002/tox.10116 · Cited by 1,298
Yang, Y.-K., Yook, K.-J., & Tae, J. (2005) · Journal of the American Chemical Society · doi:10.1021/ja054855t · Cited by 1,044
Liu, J., & Lu, Y. (2007) · Angewandte Chemie International Edition · doi:10.1002/anie.200702006 · Cited by 593
Metadata
- Authors
- Farhadi, K., Forough, M., Molaei, R., Hajizadeh, S., & Rafipour, A.
- Venue
- Sensors and Actuators B: Chemical
- Publisher
- Elsevier BV
- Published
- 2012-01
- Volume
- 161
- Issue
- 1
- Pages
- 880-885
- ISSN
- 0925-4005 (ISSN-L)
- OpenAlex
- W2083945431
- Cited by
- 391
- References
- 27
- FWCI
- 4.42
- Type
- journal article
- Language
- en
- Open access
- green
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- Farhadi, K., Forough, M., Molaei, R., Hajizadeh, S., & Rafipour, A. (2012). Highly selective Hg2+ colorimetric sensor using green synthesized and unmodified silver nanoparticles. Sensors and Actuators B: Chemical. https://doi.org/10.1016/j.snb.2011.11.052
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