Skip to main content
Log in

Speciation analysis of arsenic in samples containing high concentrations of chloride by LC-HG-AFS

  • Research Paper
  • Published:
Analytical and Bioanalytical Chemistry Aims and scope Submit manuscript

Abstract

Chloride widely exists in the environment and will cause serious interference for arsenic speciation analysis. The determination of four arsenic species including arsenite (As(III)), arsenate (As(V)), monomethylarsenate (MMA), and dimethylarsonate (DMA) in samples containing high concentrations of Cl was carried out in this work by coupling of liquid chromatography (LC) with hydride generation atomic fluorescence spectrometry (HG-AFS). The interference of Cl was successfully eliminated by coupling two anion-exchange chromatographic columns in series and eluting with 35.0 mmol L−1 (NH4)2HPO4 (pH = 6.00). A novel pre-treatment system was subsequently developed to realize on-line column switch and pre-reduction of As(V). The analysis time was shortened by an isocratic elution but programmed flow rate method, and the sensitivity of As(V) was also enhanced by the introduction of pre-reduction using the developed system. The proposed method can resist at least 10 g L−1 Cl without any pre-treatment operations. Since LC-HG-AFS is low-cost and can be afforded or self-assembled by most labs, the developed method can be adopted as a routine analysis method for arsenic species in chloride-bearing samples, such as urine and seawater.

Graphical abstract

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  1. Oremland RS, Stolz JF. The ecology of arsenic. Science. 2003;300:939–44.

    CAS  PubMed  Google Scholar 

  2. Minatel BC, Sage AP, Anderson C, Hubaux R, Marshall EA, Lam WL, et al. Environmental arsenic exposure: from genetic susceptibility to pathogenesis. Environ Int. 2018;112:183–97.

    CAS  PubMed  Google Scholar 

  3. Hong S, Choi SD, Khim JS. Arsenic speciation in environmental multimedia samples from the Youngsan river estuary, Korea: a comparison between freshwater and saltwater. Environ Pollut. 2018;237:842–50.

    CAS  PubMed  Google Scholar 

  4. Duan YH, Gan YQ, Wang YX, Liu CX, Yu K, Deng YM, et al. Arsenic speciation in aquifer sediment under varying groundwater regime and redox conditions at Jianghan plain of Central China. Sci Total Environ. 2017;607:992–1000.

    PubMed  Google Scholar 

  5. Doker S, Yilmaz M. Speciation of arsenic in spring, well, and tap water by high-performance liquid chromatography-inductively coupled plasma-mass spectrometry. Anal Lett. 2018;51:254–64.

    CAS  Google Scholar 

  6. Zhang W, Guo ZQ, Song DD, Du S, Zhang L. Arsenic speciation in wild marine organisms and a health risk assessment in a subtropical bay of China. Sci Total Environ. 2018;626:621–9.

    CAS  PubMed  Google Scholar 

  7. Jia YY, Wang L, Li S, Cao JF, Yang ZG. Species-specific bioaccumulation and correlated health risk of arsenic compounds in freshwater fish from a typical mine-impacted river. Sci Total Environ. 2018;625:600–7.

    CAS  PubMed  Google Scholar 

  8. Cui JL, Zhao YP, Li JS, Beiyuan JZ, Tsang DCW, Poon CS, et al. Speciation, mobilization, and bioaccessibility of arsenic in geogenic soil profile from Hong Kong. Environ Pollut. 2018;232:375–84.

    CAS  PubMed  Google Scholar 

  9. Bondu R, Cloutier V, Rosa E, Benzaazoua M. Mobility and speciation of geogenic arsenic in bedrock groundwater from the Canadian shield in western Quebec, Canada. Sci Total Environ. 2017;574:509–19.

    CAS  PubMed  Google Scholar 

  10. Diacomanolis V, Noller BN, Taga R, Harris HH, Aitken JB, Ng JC. Relationship of arsenic speciation and bioavailability in mine wastes for human health risk assessment. Environ Chem. 2016;13:641–55.

    CAS  Google Scholar 

  11. Ronci L, de Matthaeis E, Chimenti C, Davolos D. Arsenic-contaminated freshwater: assessing arsenate and arsenite toxicity and low-dose genotoxicity in Gammarus elvirae (Crustacea; Amphipoda). Ecotoxicology. 2017;26:581–8.

    CAS  PubMed  Google Scholar 

  12. Calatayud M, Devesa V, Velez D. Differential toxicity and gene expression in Caco-2 cells exposed to arsenic species. Toxicol Lett. 2013;218:70–80.

    CAS  PubMed  Google Scholar 

  13. Jackson BP, Liba A, Nelson J. Advantages of reaction cell ICP-MS on doubly charged interferences for arsenic and selenium analysis in foods. J Anal Atom Spectrom. 2015;30:1179–83.

    CAS  Google Scholar 

  14. Bolea-Fernandez E, Balcaen L, Resano M, Vanhaecke F. Interference-free determination of ultra-trace concentrations of arsenic and selenium using methyl fluoride as a reaction gas in ICP-MS/MS. Anal Bioanal Chem. 2015;407:919–29.

    CAS  PubMed  Google Scholar 

  15. Castillo A, Boix C, Fabregat N, Roig-Navarro AF, Rodriguez-Castrillon JA. Rapid screening of arsenic species in urine from exposed human by inductively coupled plasma mass spectrometry with germanium as internal standard. J Anal Atom Spectrom. 2012;27:354–8.

    CAS  Google Scholar 

  16. Chen ML, Ma LY, Chen XW. New procedures for arsenic speciation: a review. Talanta. 2014;125:78–86.

    CAS  PubMed  Google Scholar 

  17. Nan K, He M, Chen BB, Chen YJ, Hu B. Arsenic speciation in tree moss by mass spectrometry based hyphenated techniques. Talanta. 2018;183:48–54.

    CAS  PubMed  Google Scholar 

  18. Lin CH, Chen Y, Su YA, Luo YT, Shih TT, Sun YC. Nanocomposite-coated microfluidic-based photocatalyst-assisted reduction device to couple high-performance liquid chromatography and inductively coupled plasma-mass spectrometry for online determination of inorganic arsenic species in natural water. Anal Chem. 2017;89:5892–900.

    Google Scholar 

  19. Schmidt L, Landero JA, Santos RF, Mesko MF, Mello PA, Flores EMM, et al. Arsenic speciation in seafood by LC-ICP-MS/MS: method development and influence of culinary treatment. J Anal Atom Spectrom. 2017;32:1490–9.

    CAS  Google Scholar 

  20. Guimaraes D, Roberts AA, Tehrani MW, Huang R, Smieska L, Woll AR, et al. Characterization of arsenic in dried baby shrimp (Acetes sp.) using synchrotron-based X-ray spectrometry and LC coupled to ICP-MS/MS. J Anal Atom Spectrom. 2018;33:1616–30.

    CAS  Google Scholar 

  21. Quarles CD, Sullivan P, Field MP, Smith S, Wiederin DR. Use of an inline dilution method to eliminate species interconversion for LC-ICP-MS based applications: focus on arsenic in urine. J Anal Atom Spectrom. 2018;33:745–51.

    CAS  Google Scholar 

  22. Grijalba AC, Fiorentini EF, Martinez LD, Wuilloud RGA. Comparative evaluation of different ionic liquids for arsenic species separation and determination in wine varietals by liquid chromatography - hydride generation atomic fluorescence spectrometry. J Chromatogr A. 2016;1462:44–54.

    Google Scholar 

  23. Liu CX, Xiao ZM, Jia Z, Tian J, Liu XL, Fan X. Quantitative determination of arsenic species in feed using liquid chromatography-hydride generation atomic fluorescence spectrometry. Chin J Anal Chem. 2018;46:537–42.

    Google Scholar 

  24. Garcia-Salgado S, Quijano MA, Bonilla MM. Arsenic speciation in edible alga samples by microwave-assisted extraction and high performance liquid chromatography coupled to atomic fluorescence spectrometry. Anal Chim Acta. 2012;714:38–46.

    CAS  PubMed  Google Scholar 

  25. Currier JM, Saunders RJ, Ding L, Bodnar W, Cable P, Matousek T, et al. Comparative oxidation state specific analysis of arsenic species by high-performance liquid chromatography-inductively coupled plasma-mass spectrometry and hydride generation-cryotrapping-atomic absorption spectrometry. J Anal Atom Spectrom. 2013;28:843–52.

    CAS  Google Scholar 

  26. Lopez-Garcia I, Marin-Hernandez JJ, Ernandez-Cordoba M. Magnetic ferrite particles combined with electrothermal atomic absorption spectrometry for the speciation of low concentrations of arsenic. Talanta. 2018;181:6–12.

    CAS  PubMed  Google Scholar 

  27. Florez MR, Garcia-Ruiz E, Bolea-Fernandez E, Vanhaecke F, Resano M. A simple dilute-and-shoot approach for the determination of ultra-trace levels of arsenic in biological fluids via ICP-MS using CH3F/He as a reaction gas. J Anal Atom Spectrom. 2016;31:245–51.

    CAS  Google Scholar 

  28. Yu XP, Deng TL, Guo YF, Wang Q. Arsenic species analysis in freshwater using liquid chromatography combined to hydride generation atomic fluorescence spectrometry. J Anal Chem. 2014;69:83–8.

    CAS  Google Scholar 

  29. Pinheiro FC, Amaral CDB, Schiavo D, Nobrega JA. Determination of arsenic in fruit juices using inductively coupled plasma tandem mass spectrometry (ICP-MS/MS). Food Anal Methods. 2017;10:992–8.

    Google Scholar 

  30. Amaral CDB, Dionisio AGG, Santos MC, Donati GL, Nobrega JA, Nogueira ARA. Evaluation of sample preparation procedures and krypton as an interference standard probe for arsenic speciation by HPLC-ICP-QMS. J Anal Atom Spectrom. 2013;28:1303–10.

    CAS  Google Scholar 

  31. An J, Lee H, Nam K, Yoon HO. Effect of methanol addition on generation of isobaric polyatomic ions in the analysis of arsenic with ICP-MS. Microchem J. 2017;131:170–3.

    CAS  Google Scholar 

  32. Wei CJ, Liu JX. A new hydride generation system applied in determination of arsenic species with ion chromatography-hydride generation-atomic fluorescence spectrometry (IC-HG-AFS). Talanta. 2007;73:540–5.

    CAS  PubMed  Google Scholar 

  33. Xie RM, Johnson W, Spayd S, Hall GS, Buckley B. Arsenic speciation analysis of human urine using ion exchange chromatography coupled to inductively coupled plasma mass spectrometry. Anal Chim Acta. 2006;578:186–94.

    CAS  PubMed  Google Scholar 

  34. Liu Q, Lu XF, Peng HY, Popowich A, Tao J, Uppal JS, et al. Speciation of arsenic – a review of phenylarsenicals and related arsenic metabolites. Trac-Trend Anal Chem. 2018;104:171–82.

    CAS  Google Scholar 

  35. Sadee B, Foulkes ME, Hill SJ. Coupled techniques for arsenic speciation in food and drinking water: a review. J Anal Atom Spectrom. 2015;30:102–18.

    CAS  Google Scholar 

  36. McSheeh S, Mester Z. Arsenic speciation in marine certified reference materials - part 1. Identification of water-soluble arsenic species using multidimensional liquid chromatography combined with inductively coupled plasma, electrospray and electrospray high-field asymmetric waveform ion mobility spectrometry with mass spectrometric detection. J Anal Atom Spectrom. 2004;19:373–80.

    Google Scholar 

  37. Musil S, Matoušek T. On-line pre-reduction of pentavalent arsenicals by thioglycolic acid for speciation analysis by selective hydride generation-cryotrapping-atomic absorption spectrometry. Spectrochim Acta B. 2008;63:685–91.

    Google Scholar 

  38. Nguyen MH, Pham TD, Nguyen TL, Vu HA, Ta TT, Tu MB, et al. Speciation analysis of arsenic compounds by HPLC-ICP-MS: application for human serum and urine. J Anal Methods Chem. 2018. https://doi.org/10.1155/2018/9462019.

    Google Scholar 

  39. Sen I, Zou W, Alvaran J, Nguyen L, Gajek R, She JW. Development and validation of a simple and robust method for arsenic speciation in human urine using HPLC/ICP-MS. J AOAC Int. 2015;98:517–23.

    CAS  PubMed  Google Scholar 

  40. Samanta G, Chowdhury UK, Mandal BK, Chakraborti D, Sekaran NC, Tokunaga H, et al. High performance liquid chromatography inductively coupled plasma mass spectrometry for speciation of arsenic compounds in urine. Microchem J. 2000;65:113–27.

    CAS  Google Scholar 

  41. An J, Lee J, Lee G, Nam K, Yoon HO. Combined use of collision cell technique and methanol addition for the analysis of arsenic in a high-chloride-containing sample by ICP-MS. Microchem J. 2015;120:77–81.

    CAS  Google Scholar 

  42. Zhang Q, Minami H, Inoue S, Atsuya I. Differential determination of trace amounts of arsenic(III) and arsenic(V) in seawater by solid sampling atomic absorption spectrometry after preconcentration by coprecipitation with a nickel-pyrrolidine dithiocarbamate complex. Anal Chim Acta. 2004;508:99–105.

    CAS  Google Scholar 

  43. dos Santos QQ, Silva MM, Lemos VA, Ferreira SLC, de Andrade JB. An online preconcentration system for speciation analysis of arsenic in seawater by hydride generation flame atomic absorption spectrometry. Microchem J. 2018;143:175–80.

    Google Scholar 

  44. Den SJ, Wei WC, Mierzwa J, Yang MH. On-line determination of arsenic species in seawater by selective hydride generation coupled with inductively coupled plasma-mass spectrometry. J Chin Chem Soc-Taip. 2002;49:197–205.

    CAS  Google Scholar 

Download references

Funding

This work was supported by the National Natural Science Foundation of China (grant numbers U1607129, U1607123) and the Yangtze Scholars and Innovative Research Team of the Chinese University (grant number IRT_17R81).

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Xiaoping Yu or Tianlong Deng.

Ethics declarations

The Certified Reference Material for arsenic speciation analysis in urine (GBW09115) was obtained from the National Standard Substances Centre in China, and this study did not involve any animal or human participants. The authors declare that all experiments were performed in accordance with the relevant laws and ethical standards.

Conflict of interest

The authors declare that they have no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

ESM 1

(PDF 283 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yu, X., Cui, W., Wang, Q. et al. Speciation analysis of arsenic in samples containing high concentrations of chloride by LC-HG-AFS. Anal Bioanal Chem 411, 7251–7260 (2019). https://doi.org/10.1007/s00216-019-02093-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00216-019-02093-6

Keywords

Navigation