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The Determination of Protein-Based Arsenic in Shrimp Tissues by Hydride Generation-Atomic Fluorescence Spectrometer

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Abstract

A method combining protein extraction with hydride generation-atomic fluorescence spectrometer was developed to analyze protein-based arsenic (PBA) present in popular shrimp of China. The traditional method of alkali extraction-isoelectric precipitation was used for protein extraction, and microwave was applied for sample digestion. It was found that PBA concentrations in the extracted proteins were 0.626, 4.01, and 5.91 μg/g for meat, shell, and visceral samples, respectively. PBA recoveries of between 89.72 and 102.3 % were obtained by using the extracted proteins from meat as “standard proteins.” The results of sample and time variability tests showed that PBA concentrations in shrimp samples were very stable. The obtained total arsenic concentration in meat was only 0.123 μg/g and indicated humans’ low daily intake of arsenic from this kind of Chinese shrimp.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (411723312, 21303172), and the Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) (CUG120117, CUG140610, and CUGL140414).

Conflict of Interest

Xiaoying Liu declares that she has no conflict of interest. Haiou Qiu declares that she has no conflict of interest. Yunjie Huang declares that he has no conflict of interest. Zhiyong Tang declares that he has no conflict of interest. Shaozhan Tang declares that he has no conflict of interest. Zhenli Zhu declares that he has no conflict of interest.

Compliance with Ethics Requirements

This article does not contain any studies with human subjects. All institutional and national guidelines for the care and use of laboratory animals were followed.

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Correspondence to Haiou Qiu or Yunjie Huang.

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Liu, X., Qiu, H., Huang, Y. et al. The Determination of Protein-Based Arsenic in Shrimp Tissues by Hydride Generation-Atomic Fluorescence Spectrometer. Food Anal. Methods 9, 1–6 (2016). https://doi.org/10.1007/s12161-015-0164-0

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  • DOI: https://doi.org/10.1007/s12161-015-0164-0

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