4.8 Article

Advantages of Two-Dimensional Electron-Induced Dissociation and Infrared Multiphoton Dissociation Mass Spectrometry for the Analysis of Agrochemicals

Journal

ANALYTICAL CHEMISTRY
Volume 92, Issue 17, Pages 11687-11695

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.analchem.0c01585

Keywords

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Funding

  1. EPSRC through the EPSRC Centre for Doctoral Training in Molecular Analytical Science [EP/L015307/1]
  2. EPSRC CASE AZ studentship [EPSRC EP/N021630/1]
  3. EPSRC [EP/J000302/1, EP/N033191/1]
  4. BBSRC [R022399/1]
  5. H2020 EUFT-ICR MS network [731077]
  6. BBSRC [BB/P021875/1, BB/R022399/1] Funding Source: UKRI
  7. EPSRC [EP/N021630/1, EP/J000302/1, 1837376] Funding Source: UKRI

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Analysis of agrochemicals in an environmental matrix is challenging because these samples contain multiple agrochemicals, their metabolites, degradation products, and endogenous compounds. The analysis of such complex samples is achieved using chromatographic separation techniques coupled to mass spectrometry. Herein, we demonstrate a two-dimensional mass spectrometry (2DMS) technique on a 12 T Fourier transform ion cyclotron resonance mass spectrometer that can analyze a mixture of agrochemicals without using chromatography or quadrupole isolation in a single experiment. The resulting 2DMS contour plot contains abundant tandem MS information for each component in the sample and correlates product ions to their corresponding precursor ions. Two different fragmentation methods are employed, infrared multiphoton dissociation (IRMPD) and electron-induced dissocia- tion (EID), with 2DMS to analyze the mixture of singly charged agrochemicals. The product ions of one of the agrochemicals, pirimiphos-methyl, present in the sample was used to internally calibrate the entire 2DMS spectrum, achieving sub part per million (ppm) to part per billion (ppb) mass accuracies for all species analyzed. The work described in this study will show the advantages of the 2DMS approach, by grouping species with common fragments/core structure and mutual functional groups, using precursor lines and neutral loss lines. In addition, the rich spectral information obtained from IRMPD and EID 2DMS contour plots can accurately identify and characterize agrochemicals.

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