TITLE

Uncertainty Estimation for the Determination of Trace Heavy Metals in Human Hair by Flame and Electrothermal Atomic Absorption Spectrometry

AUTHOR(S)
Tadayon, Fariba; Saber-Tehrani, Mohammad; Ghorbani, Azam
PUB. DATE
August 2010
SOURCE
Journal of Chemistry & Chemical Engineering;2010, Vol. 4 Issue 8, p26
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Trace element analysis on hair samples has been widely used to assess wildlife and human exposure to different contaminants present in the environment or at the workplace. Pollutants due to the presence of toxic metals in environment not only enter the body by breading, water, and foodstuff accumulates in hair, but they could be adsorbed directly on the hair from environment. In order to remove adsorbed elements and thus determine the internally bound elements correctly, hair sample must be washed. In the present work, we propose uncertainty estimation for the analytical results that are obtained from determination of cadmium, lead, copper, iron, manganese and nickel in human hair by flame and electrothermal atomic absorption spectrometry (FAAS and ETAAS). To estimate the uncertainty of analytical result obtained, two types of bias are calculated in the assessment of trueness: a proportional bias and a constant bias. Nested design was applied for calculating proportional bias and Youden method to calculate the constant bias. The results we obtained for proportional bias are calculated from spiked samples. In this case, the concentration found is plotted against the concentration added and the slop of standard addition curve is an estimate of the method recovery. Estimated method of average recovery in human hair is: (1.019 ± 0.026), (0.918 ± 0.014), (1.073 ± 0.016), (1.0597 ± 0.017), (1.073 ± 0.020) and (0.934 ± 0.117) for Cd, Pb, Mn, Ni, Fe and Cu respectively.
ACCESSION #
54572218

 

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