Published September 15, 2009 | Version v1
Journal article

Selective separation and preconcentration of copper (II) in environmental samples by the solid phase extraction on multi-walled carbon nanotubes

  • 1. University of Erciyes, Faculty of Science Arts, Chemistry Department, 38039, Kayseri (Turkey)
  • 2. University of Erciyes, Institute of Health Science, 38039, Kayseri (Turkey)

Description

A solid phase extraction method for selective separation-preconcentration of copper (II) on multi-walled carbon nanotubes (MWNTs) prior to its flame atomic absorption spectrometric determinations has been investigated. The adsorption was achieved quantitatively on MWNTs column at pH 7.0, then the retained Cu(II) contents on the column were quantitatively eluted with 2 M HNO3. The effects of analytical parameters including pH of the solution, eluent type, sample volume, flow rates of eluent, matrix ions etc. were investigated for optimization of the presented procedure. The preconcentration factor was 60. The detection limit for copper (II) was found as 1.46 μg/L. The method was applied to the determination of copper in environmental samples and reproducible results were obtained.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jhazmat.2009.03.032

Additional details

Identifiers

DOI
10.1016/j.jhazmat.2009.03.032;
PII
S0304-3894(09)00439-7;

Publishing Information

Journal Title
Journal of Hazardous Materials
Journal Volume
168
Journal Issue
2-3
Journal Page Range
p. 1527-1531
ISSN
0304-3894
CODEN
JHMAD9

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
43125384
Subject category
S36: MATERIALS SCIENCE;
Descriptors DEI
ABSORPTION; ABSORPTION SPECTROSCOPY; ADSORPTION; CARBON; COPPER; ENVIRONMENTAL MATERIALS; EXTRACTION; FLOW RATE; NANOTUBES; SENSITIVITY; SOLIDS
Descriptors DEC
ELEMENTS; MATERIALS; METALS; NANOSTRUCTURES; NONMETALS; SEPARATION PROCESSES; SORPTION; SPECTROSCOPY; TRANSITION ELEMENTS

Optional Information

Copyright
Copyright (c) 2009 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.