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Quantitative detection of trace malachite green in aquiculturewater samples by extractive electrospray ionization mass spectrometry

  • Xiaowei Fang
  • , Shuiping Yang
  • , Konstantin Chingin
  • , Liang Zhu
  • , Xinglei Zhang
  • , Zhiquan Zhou
  • , Zhanfeng Zhao*
  • *Corresponding author for this work
  • East China University of Technology
  • Harbin Institute of Technology Weihai

Research output: Contribution to journalArticlepeer-review

Abstract

Exposure to malachite green (MG) may pose great health risks to humans; thus, it is of prime importance to develop fast and robust methods to quantitatively screen the presence of malachite green in water. Herein the application of extractive electrospray ionization mass spectrometry (EESI-MS) has been extended to the trace detection of MG within lake water and aquiculture water, due to the intensive use of MG as a biocide in fisheries. This method has the advantage of obviating offline liquid-liquid extraction or tedious matrix separation prior to the measurement of malachite green in native aqueous medium. The experimental results indicate that the extrapolated detection limit for MG was ~3.8 μgL−1 (S/N = 3) in lake water samples and ~0.5 μgL−1 in ultrapure water under optimized experimental conditions. The signal intensity of MG showed good linearity over the concentration range of 10-1000 μgL−1. Measurement of practical water samples fortified with MG at 0.01, 0.1 and 1.0 mgL−1 gave a good validation of the established calibration curve. The average recoveries and relative standard deviation (RSD) of malachite green in lake water and Carassius carassius fish farm effluent water were 115% (6.64% RSD), 85.4% (9.17% RSD) and 96.0% (7.44% RSD), respectively. Overall, the established EESI-MS/MS method has been demonstrated suitable for sensitive and rapid (<2 min per sample) quantitative detection of malachite green in various aqueous media, indicating its potential for online real-time monitoring of real life samples.

Original languageEnglish
Article number814
JournalInternational Journal of Environmental Research and Public Health
Volume13
Issue number8
DOIs
StatePublished - 11 Aug 2016
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Extractive electrospray ionization
  • Malachite green
  • Mass spectrometry
  • Rapid detection
  • Water

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