Optimization of sample preparation conditions in the determination of total arsenic in fish and seafoods by atomic absorption spectrometry with electrothermal atomization
https://doi.org/10.26896/1028-6861-2023-89-1-5-10
Abstract
The conditions for sample preparation and determination of total arsenic in fish and seafoods by atomic absorption spectroscopy with electrothermal atomization have been optimized. When using a standard sample preparation procedure (GOST R 53100), a complete decomposition of the organic arsenic compound, arsenobetaine, appeared impossible which leads to underestimated results. A novel sample preparation procedure for the determination of total arsenic, including the addition of concentrated sulfuric acid for complete decomposition of the organic forms of arsenic to inorganic ones is proposed. During the atomization of the sample, an additional stage of drying was introduced with smooth heating from 200 to 250°C, which contributed to a complete removal of sulfuric acid residues from the injected sample volume. The correctness of the proposed methodology was verified using the ICP-MS method and in the analysis of reference samples of fish and seafoods.
About the Authors
S. A. Grachev
The Russian State Center for Animal Feed and Drug Standardization and Quality
Russian Federation
Russian Federation
Sergey A. Grachev.
5, Zvenigorodskoye shosse, Moscow, 123022
A. V. Tretyakov
The Russian State Center for Animal Feed and Drug Standardization and Quality
Russian Federation
Russian Federation
Alexey V. Tretyakov.
5, Zvenigorodskoye shosse, Moscow, 123022
V. G. Amelin
The Russian State Center for Animal Feed and Drug Standardization and Quality
Russian Federation
Russian Federation
Vasily G. Amelin.
5, Zvenigorodskoye shosse, Moscow, 123022
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Review
For citations:
Grachev S.A., Tretyakov A.V., Amelin V.G. Optimization of sample preparation conditions in the determination of total arsenic in fish and seafoods by atomic absorption spectrometry with electrothermal atomization. Industrial laboratory. Diagnostics of materials. 2023;89(1):5-10. (In Russ.) https://doi.org/10.26896/1028-6861-2023-89-1-5-10
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