TY  - JOUR
TT  - CHARACTERIZATION OF ION IMPRINTED BASED NANOSENSOR FOR REAL TIME DETECTION OF Cu(II) IONS
AU  - Aydoğan, Nihan
AU  - Andaç, Müge
AU  - Denızlı, Adil
PY  - 2017
DA  - February
JF  - The Turkish Journal Of Occupational / Environmental Medicine and Safety
JO  - turjoem
PB  - Engin TUTKUN
WT  - DergiPark
SN  - 2149-4711
SP  - 277
EP  - 277
VL  - Volume 2
IS  - İssue 1 (1)
KW  - CHARACTERIZATION OF ION IMPRINTED BASED NANOSENSOR FOR REAL TIME DETECTION OF Cu(II) IONS
N2  - There areseveral trace elements in human body. Among these trace elements, Cu (II) playsan essential role in physiological processes in certain amounts. However, atelevated concentrations, Cu (II) can react with molecular oxygen to generatereactive 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 maximumcontaminant level (MCL) of Cu (II) at 1.3 ppm (20 mM) in drinking water withregards to its toxicity. Therefore, it is important to develop highly sensitiveand selective analytical methods for Cu (II) detection. In aim of thisstudy, for the first time, is to detect Cu (II) ions quantitatively in realtime with high sensitivity and selectivity without any laboratory conditionsand expensive instruments. The study targets to prepare a gravimetricnanosensor for the analysis of Cu (II) ions by combining the excellentselectivity properties of ion imprinted polymers (IIPs) and nanotechnology.Thus, Cu (II) imprinted IIP nanoparticles in a size range of 60 nm wereprepared in the presence of N-methacryloyl-L-histidine functional monomer with2:1 and 1:1 mol ratio. They were characterized by scanning electron microscopy(SEM), zeta size distribution analysis and FTIR spectroscopy. Cu (II) imprintedIIPs was then adapted to quartz crystal microbalance (QCM) nanosensor for thereal time detection of Cu (II) ions in aqueous solutions. Several parameters,such as pH, initial ion concentration and selectivity will be investigated toobtain the optimum conditions of nanosensor efficiency.
CR  - Nihan AYDOĞAN, Müge ANDAÇ, Adil DENIZLI
CR  - Hacettepe University, Environmental Engineering Department, 06800 Ankara, Turkey
Hacettepe University, Chemistry Department, 06800 Ankara, Turkey
UR  - https://dergipark.org.tr/tr/pub/turjoem/issue//315272
L1  - https://dergipark.org.tr/tr/download/article-file/305683
ER  -