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CHARACTERIZATION OF ION IMPRINTED BASED NANOSENSOR FOR REAL TIME DETECTION OF Cu(II) IONS

Year 2017, Volume: Volume 2 Issue: İssue 1 (1) - 2.İnternational Congress Of Forensic Toxicology, 277 - 277, 16.02.2017

Abstract

There are
several trace elements in human body. Among these trace elements, Cu (II) plays
an essential role in physiological processes in certain amounts. However, at
elevated concentrations, Cu (II) can react with molecular oxygen to generate
reactive oxygen species (ROS), suggesting their potential damage to biomolecules.
In this regard, the residual level of Cu (II) in drinking water is restricted.
The United States Environment Protection Agency (USEPA) sets a maximum
contaminant level (MCL) of Cu (II) at 1.3 ppm (20 mM) in drinking water with
regards to its toxicity. Therefore, it is important to develop highly sensitive
and selective analytical methods for Cu (II) detection.



In aim of this
study, for the first time, is to detect Cu (II) ions quantitatively in real
time with high sensitivity and selectivity without any laboratory conditions
and expensive instruments. The study targets to prepare a gravimetric
nanosensor for the analysis of Cu (II) ions by combining the excellent
selectivity properties of ion imprinted polymers (IIPs) and nanotechnology.
Thus, Cu (II) imprinted IIP nanoparticles in a size range of 60 nm were
prepared in the presence of N-methacryloyl-L-histidine functional monomer with
2:1 and 1:1 mol ratio. They were characterized by scanning electron microscopy
(SEM), zeta size distribution analysis and FTIR spectroscopy. Cu (II) imprinted
IIPs was then adapted to quartz crystal microbalance (QCM) nanosensor for the
real time detection of Cu (II) ions in aqueous solutions. Several parameters,
such as pH, initial ion concentration and selectivity will be investigated to
obtain the optimum conditions of nanosensor efficiency.

References

  • Nihan AYDOĞAN, Müge ANDAÇ, Adil DENIZLI
  • Hacettepe University, Environmental Engineering Department, 06800 Ankara, Turkey Hacettepe University, Chemistry Department, 06800 Ankara, Turkey
Year 2017, Volume: Volume 2 Issue: İssue 1 (1) - 2.İnternational Congress Of Forensic Toxicology, 277 - 277, 16.02.2017

Abstract

References

  • Nihan AYDOĞAN, Müge ANDAÇ, Adil DENIZLI
  • Hacettepe University, Environmental Engineering Department, 06800 Ankara, Turkey Hacettepe University, Chemistry Department, 06800 Ankara, Turkey
There are 2 citations in total.

Details

Journal Section Articles
Authors

Nihan Aydoğan This is me

Müge Andaç

Adil Denızlı This is me

Publication Date February 16, 2017
Published in Issue Year 2017 Volume: Volume 2 Issue: İssue 1 (1) - 2.İnternational Congress Of Forensic Toxicology

Cite

APA Aydoğan, N., Andaç, M., & Denızlı, A. (2017). CHARACTERIZATION OF ION IMPRINTED BASED NANOSENSOR FOR REAL TIME DETECTION OF Cu(II) IONS. The Turkish Journal Of Occupational / Environmental Medicine and Safety, Volume 2(İssue 1 (1), 277-277.
AMA Aydoğan N, Andaç M, Denızlı A. CHARACTERIZATION OF ION IMPRINTED BASED NANOSENSOR FOR REAL TIME DETECTION OF Cu(II) IONS. turjoem. February 2017;Volume 2(İssue 1 (1):277-277.
Chicago Aydoğan, Nihan, Müge Andaç, and Adil Denızlı. “CHARACTERIZATION OF ION IMPRINTED BASED NANOSENSOR FOR REAL TIME DETECTION OF Cu(II) IONS”. The Turkish Journal Of Occupational / Environmental Medicine and Safety Volume 2, no. İssue 1 (1) (February 2017): 277-77.
EndNote Aydoğan N, Andaç M, Denızlı A (February 1, 2017) CHARACTERIZATION OF ION IMPRINTED BASED NANOSENSOR FOR REAL TIME DETECTION OF Cu(II) IONS. The Turkish Journal Of Occupational / Environmental Medicine and Safety Volume 2 İssue 1 (1) 277–277.
IEEE N. Aydoğan, M. Andaç, and A. Denızlı, “CHARACTERIZATION OF ION IMPRINTED BASED NANOSENSOR FOR REAL TIME DETECTION OF Cu(II) IONS”, turjoem, vol. Volume 2, no. İssue 1 (1), pp. 277–277, 2017.
ISNAD Aydoğan, Nihan et al. “CHARACTERIZATION OF ION IMPRINTED BASED NANOSENSOR FOR REAL TIME DETECTION OF Cu(II) IONS”. The Turkish Journal Of Occupational / Environmental Medicine and Safety VOLUME 2/İssue 1 (1) (February 2017), 277-277.
JAMA Aydoğan N, Andaç M, Denızlı A. CHARACTERIZATION OF ION IMPRINTED BASED NANOSENSOR FOR REAL TIME DETECTION OF Cu(II) IONS. turjoem. 2017;Volume 2:277–277.
MLA Aydoğan, Nihan et al. “CHARACTERIZATION OF ION IMPRINTED BASED NANOSENSOR FOR REAL TIME DETECTION OF Cu(II) IONS”. The Turkish Journal Of Occupational / Environmental Medicine and Safety, vol. Volume 2, no. İssue 1 (1), 2017, pp. 277-.
Vancouver Aydoğan N, Andaç M, Denızlı A. CHARACTERIZATION OF ION IMPRINTED BASED NANOSENSOR FOR REAL TIME DETECTION OF Cu(II) IONS. turjoem. 2017;Volume 2(İssue 1 (1):277-.