Advanced search
1 file | 2.32 MB Add to list

An integrated data-dependent and data-independent acquisition method for hazardous compounds screening in foods using a single UHPLC-Q-Orbitrap run

Author
Organization
Abstract
Thousands of hazardous compounds that contaminate foods and feeds pose potential risks for human and animal health. However, it remains a challenge to perform a fast monitoring for safety surveillance. Herein we report a novel approach, integrated data-dependent and data-independent acquisition (DDIA) method, to efficiently screen for hundreds of chemicals in a single run using ultra-high-performance liquid chromatography coupled with quadrupole Orbitrap high-resolution mass spectrometry (UHPLC-Q-Orbitrap). This method was successfully applied to analyze 180 veterinary drugs in milk, 220 pesticides in tomato and 50 mycotoxins in maize, respectively. Compared with the widely used approaches of data-dependent acquisition (DDA) or data-independent acquisition (DIA), the obtained results indicate that DDIA-based method combines the advantages of both DDA and DIA, since it achieves higher reproducibility of identification, lower false results for targeted compounds. Notably, the advantage of DDIA approach is that it enables better date retroactivity for untargeted compounds, such as metabolites and decomposition products. With the improvement in high-resolution mass spectrometry (HRMS) as well as data-mining techniques, we believe that DDIA data acquisition approach based on LC-HRMS will be widely applied in various fields in the near future, especially in compound screening and omics field, such as metabolomics and proteomics.
Keywords
UNTARGETED METABOLOMICS, PESTICIDE-RESIDUES, MASS-SPECTROMETRY, MYCOTOXINS, FRUITS, CROPS, DDIA, Target screening, Non-target screening, High-resolution mass, spectrometer, Food safety

Downloads

  • (...).pdf
    • full text (Published version)
    • |
    • UGent only
    • |
    • PDF
    • |
    • 2.32 MB

Citation

Please use this url to cite or link to this publication:

MLA
Sun, Feifei, et al. “An Integrated Data-Dependent and Data-Independent Acquisition Method for Hazardous Compounds Screening in Foods Using a Single UHPLC-Q-Orbitrap Run.” JOURNAL OF HAZARDOUS MATERIALS, vol. 401, 2021, doi:10.1016/j.jhazmat.2020.123266.
APA
Sun, F., Tan, H., Li, Y., De Boevre, M., Zhang, H., Zhou, J., … Yang, S. (2021). An integrated data-dependent and data-independent acquisition method for hazardous compounds screening in foods using a single UHPLC-Q-Orbitrap run. JOURNAL OF HAZARDOUS MATERIALS, 401. https://doi.org/10.1016/j.jhazmat.2020.123266
Chicago author-date
Sun, Feifei, Haiguang Tan, Yanshen Li, Marthe De Boevre, Huiyan Zhang, Jinhui Zhou, Yi Li, and Shupeng Yang. 2021. “An Integrated Data-Dependent and Data-Independent Acquisition Method for Hazardous Compounds Screening in Foods Using a Single UHPLC-Q-Orbitrap Run.” JOURNAL OF HAZARDOUS MATERIALS 401. https://doi.org/10.1016/j.jhazmat.2020.123266.
Chicago author-date (all authors)
Sun, Feifei, Haiguang Tan, Yanshen Li, Marthe De Boevre, Huiyan Zhang, Jinhui Zhou, Yi Li, and Shupeng Yang. 2021. “An Integrated Data-Dependent and Data-Independent Acquisition Method for Hazardous Compounds Screening in Foods Using a Single UHPLC-Q-Orbitrap Run.” JOURNAL OF HAZARDOUS MATERIALS 401. doi:10.1016/j.jhazmat.2020.123266.
Vancouver
1.
Sun F, Tan H, Li Y, De Boevre M, Zhang H, Zhou J, et al. An integrated data-dependent and data-independent acquisition method for hazardous compounds screening in foods using a single UHPLC-Q-Orbitrap run. JOURNAL OF HAZARDOUS MATERIALS. 2021;401.
IEEE
[1]
F. Sun et al., “An integrated data-dependent and data-independent acquisition method for hazardous compounds screening in foods using a single UHPLC-Q-Orbitrap run,” JOURNAL OF HAZARDOUS MATERIALS, vol. 401, 2021.
@article{8708048,
  abstract     = {{Thousands of hazardous compounds that contaminate foods and feeds pose potential risks for human and animal health. However, it remains a challenge to perform a fast monitoring for safety surveillance. Herein we report a novel approach, integrated data-dependent and data-independent acquisition (DDIA) method, to efficiently screen for hundreds of chemicals in a single run using ultra-high-performance liquid chromatography coupled with quadrupole Orbitrap high-resolution mass spectrometry (UHPLC-Q-Orbitrap). This method was successfully applied to analyze 180 veterinary drugs in milk, 220 pesticides in tomato and 50 mycotoxins in maize, respectively. Compared with the widely used approaches of data-dependent acquisition (DDA) or data-independent acquisition (DIA), the obtained results indicate that DDIA-based method combines the advantages of both DDA and DIA, since it achieves higher reproducibility of identification, lower false results for targeted compounds. Notably, the advantage of DDIA approach is that it enables better date retroactivity for untargeted compounds, such as metabolites and decomposition products. With the improvement in high-resolution mass spectrometry (HRMS) as well as data-mining techniques, we believe that DDIA data acquisition approach based on LC-HRMS will be widely applied in various fields in the near future, especially in compound screening and omics field, such as metabolomics and proteomics.}},
  articleno    = {{123266}},
  author       = {{Sun, Feifei and Tan, Haiguang and Li, Yanshen and De Boevre, Marthe and Zhang, Huiyan and Zhou, Jinhui and Li, Yi and Yang, Shupeng}},
  issn         = {{0304-3894}},
  journal      = {{JOURNAL OF HAZARDOUS MATERIALS}},
  keywords     = {{UNTARGETED METABOLOMICS,PESTICIDE-RESIDUES,MASS-SPECTROMETRY,MYCOTOXINS,FRUITS,CROPS,DDIA,Target screening,Non-target screening,High-resolution mass,spectrometer,Food safety}},
  language     = {{eng}},
  pages        = {{6}},
  title        = {{An integrated data-dependent and data-independent acquisition method for hazardous compounds screening in foods using a single UHPLC-Q-Orbitrap run}},
  url          = {{http://dx.doi.org/10.1016/j.jhazmat.2020.123266}},
  volume       = {{401}},
  year         = {{2021}},
}

Altmetric
View in Altmetric
Web of Science
Times cited: