Literature DB >> 18968407

Determination of cadmium and lead in biological samples by Zeeman ETAAS using various chemical modifiers.

O Acar1.   

Abstract

The electrothermal atomic absorption spectrometric determination of cadmium and lead in biological certified reference materials (CRMs) has been carried out by using NH(4)H(2)PO(4), Ni, Pd, Ni+NH(4)H(2)PO(4), Pd+NH(4)H(2)PO(4) and Ni+Pd+NH(4)H(2)PO(4) as chemical modifiers. A comprehensive comparison was made among the modifiers in 1% Triton X-100 plus 0.2% nitric acid as diluent and without modifier. Zeeman background correction and graphite tubes inserted with platforms were used. Comparison was made in terms of pyrolysis and atomization temperatures, atomization and background absorption profiles. Ni+Pd+NH(4)H(2)PO(4) modifier mixture was found to be preferable for the determination of Cd and Pb. Pyrolysis temperatures of analytes were increased up to 900 degrees C for Cd and 1250 degrees C for Pb by using Ni+Pd+NH(4)H(2)PO(4) in 1% Triton X-100 plus 0.2% nitric acid diluent solution. Biological CRMs were analyzed to verify the accuracy and precision of this method. Depending on the biological sample type, the percent recoveries were increased from 62 to 102% for Cd and from 58 to 106% for Pb by using the proposed modifier mixture. The detection limits of Cd and Pb were found to be 0.04, 0.92 mug l(-1), respectively.

Entities:  

Year:  2001        PMID: 18968407     DOI: 10.1016/s0039-9140(01)00468-4

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  4 in total

1.  Determination of cadmium in lichens by solid sampling graphite furnace atomic absorption spectrometry (SS-GF-AAS).

Authors:  Pavel Coufalík; Antonín Uher; Ondřej Zvěřina; Josef Komárek
Journal:  Environ Monit Assess       Date:  2020-03-07       Impact factor: 2.513

2.  Development of an analytical method for determination of lead and cadmium in biological materials by GFAAS using Escherichia coli as model substance.

Authors:  Michelle Gende; Martina Schmeling
Journal:  PLoS One       Date:  2022-05-03       Impact factor: 3.752

3.  Lead contamination in selected foods from Riyadh city market and estimation of the daily intake.

Authors:  Zeid A Al Othman
Journal:  Molecules       Date:  2010-10-25       Impact factor: 4.411

4.  A Machine Learning Approach in Analyzing Bioaccumulation of Heavy Metals in Turbot Tissues.

Authors:  Ștefan-Mihai Petrea; Mioara Costache; Dragoș Cristea; Ștefan-Adrian Strungaru; Ira-Adeline Simionov; Alina Mogodan; Lacramioara Oprica; Victor Cristea
Journal:  Molecules       Date:  2020-10-14       Impact factor: 4.411

  4 in total

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