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Ultrasonic energy enhanced the efficiency of advance extraction methodology for enrichment of trace level of copper in serum samples of patients having neurological disorders
[Display omitted] •Ultrasound energy used for the advance extraction methodology for enrichment of analyte.•To overcome the hazardous effect of organic solvent dual dispersive ionic liquid based microextraction was developed.•The neurological disorders patients have higher levels of Cu ion in serum...
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Published in: | Ultrasonics sonochemistry 2017-07, Vol.37, p.23-28 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | [Display omitted]
•Ultrasound energy used for the advance extraction methodology for enrichment of analyte.•To overcome the hazardous effect of organic solvent dual dispersive ionic liquid based microextraction was developed.•The neurological disorders patients have higher levels of Cu ion in serum samples than normal referents.
An innovative dual dispersive ionic liquid based on ultrasound assisted microextraction (UDIL-μE), for the enrichment of trace levels of copper ion (Cu2+), in serum (blood) of patients suffering from different neurological disorders. The enriched metal ions were subjected to flame atomic absorption spectrometry (FAAS). In the UDIL-μE method, the extraction solvent, ionic liquid, 1-butyl-3-methylimidazolium hexafluorophosphate [C4mim][PF6], was dispersed into the aqueous samples using an ultrasonic bath. The(PAN) 1-(2-pyridylazo)-2-naphthol was used as ligand for the complexation of Cu ion in IL (as extracting solvent). The various variables such as sonication time, pH, concentration of complexing agent, time and rate of centrifugation, IL volume that affect the extraction process were optimized. The enhancement factor (EF) and detection limit (LOD) was found under favorable condition was 31 and 0.36μgL−1, respectively. Reliability of the proposed method was checked by relative standard deviation (%RSD), which was found to be |
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ISSN: | 1350-4177 1873-2828 |
DOI: | 10.1016/j.ultsonch.2016.12.020 |