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author:

Lin, Y. (Lin, Y..) [1] | Sun, Y. (Sun, Y..) [2] | Wang, X. (Wang, X..) [3] | Chen, S. (Chen, S..) [4] | Wu, Y. (Wu, Y..) [5] | Fu, F. (Fu, F..) [6]

Indexed by:

Scopus

Abstract:

The speciation analysis of arsenic in seafood is of great significance for objectively and scientifically assessing arsenic health risks in seafood. In general, different types of seafood contain a variety of different arsenic species and have quite different matrix. Thus, the detection of arsenic species in different types of seafood required different extracting and analytical methods. In this study, a universal microwave-assisted extraction was developed to extract each arsenic species including As(V), As(III), monomethylarsonic acid (MMA), dimethylarsinic acid (DMA), arsenobetaine (AsB), arsenosugars and so on in various seafood with a extraction efficiency > 95% and without altering their original species, and a universal cation exchange IC-ICP-MS (ion chromatography-inductively coupled plasma mass spectrometry) method was developed for the detection of arsenic species in various seafood (seaweed, fish, shellfish and shrimp) with a method detection limit of 8.0 ng As/g dried seafood–12.0 ng As/g dried seafood. Especially, the extract of seafood obtained with our microwave-assisted extraction can be directly used for the following IC-ICP-MS detection without any additional pretreatment. By using the extraction method and IC-ICP-MS method, we have successfully detected each arsenic species including As(V), As(III), MMA, DMA, AsB, arsenosugars and so on in seaweed, fish, shellfish and shrimp samples with a recovery of 92%–104% and a relative standard deviation (RSD, n = 5) < 5%. The developed microwave-assisted extraction method and IC-ICP-MS detection method is simple, has broad applicability, high efficiency, excellent accuracy and strong resistibility to the complicated matrix, which promising a reliable approach for objectively and scientifically assessing arsenic health risks in various seafood to ensure the consumption safety of seafood. © 2020 Elsevier B.V.

Keyword:

Arsenic; Fish; Seaweed; Shellfish; Speciation analysis

Community:

  • [ 1 ] [Lin, Y.]Key Laboratory for Analytical Science of Food Safety and Biology of MOE, Fujian Provincial Key Lab of Analysis and Detection for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, Fujian 350116, China
  • [ 2 ] [Sun, Y.]Key Laboratory for Analytical Science of Food Safety and Biology of MOE, Fujian Provincial Key Lab of Analysis and Detection for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, Fujian 350116, China
  • [ 3 ] [Wang, X.]Key Laboratory for Analytical Science of Food Safety and Biology of MOE, Fujian Provincial Key Lab of Analysis and Detection for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, Fujian 350116, China
  • [ 4 ] [Chen, S.]Key Laboratory for Analytical Science of Food Safety and Biology of MOE, Fujian Provincial Key Lab of Analysis and Detection for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, Fujian 350116, China
  • [ 5 ] [Wu, Y.]NHC Key Lab of Food Safety Risk Assessment, Food Safety Research Unit (2019RU014) of China Academy of Medical Science, China National Center for Food Safety Risk Assessment, Beijing, 100021, China
  • [ 6 ] [Fu, F.]Key Laboratory for Analytical Science of Food Safety and Biology of MOE, Fujian Provincial Key Lab of Analysis and Detection for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, Fujian 350116, China

Reprint 's Address:

  • [Fu, F.]Key Laboratory for Analytical Science of Food Safety and Biology of MOE, Fujian Provincial Key Lab of Analysis and Detection for Food Safety, College of Chemistry, Fuzhou UniversityChina

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Source :

Microchemical Journal

ISSN: 0026-265X

Year: 2020

Volume: 159

4 . 8 2 1

JCR@2020

4 . 9 0 0

JCR@2023

ESI HC Threshold:160

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 14

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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