Detection of anticoagulant rodenticides by direct analysis in real time time-of-flight mass spectrometry : novel screening techniques and rapid semi-quantitative determination

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DOI

https://doi.org/10.1039/D5AY01447F

Language of the publication
English
Date
2025-10-23
Type
Article
Author(s)
  • Yu, Trista
  • Moorthy, Arun S.
  • Brunswick, Pamela
  • Rosary, Bianca
  • Cody, Robert
  • Gian, Marcus
  • Dang, Vanessa
  • Kwok, Honoria
  • Yan, Jeffrey
  • Shang, Dayue
Publisher
Royal Society of Chemistry

Abstract

Environmental monitoring of rodenticide contamination is often required to address public concern of off-target poisoning, which threatens animal populations and disrupts related ecology. This study aimed to address the shortcomings of current analytical methods for testing water-soluble anticoagulant rodenticide by application of direct analysis in real time in tandem with time-of-flight (DART-ToF) mass spectrometry (MS), an alternative analytical technique offering rapidity, low cost, and robustness. Both positive and negative ion modes were investigated with the aim of establishing a quick screening and semi-quantitation workflow. Screening was conducted by development of a custom DART-ToF MS library with selected rodenticide spectra, and data was analyzed using the National Institute of Standards and Technology/National Institute of Justice DART-MS Data Interpretation Tool (NIST/NIJ DART-MS DIT). The developed methodology readily identified five rodenticides from complex mixtures at 1 mg L−1 and one rodenticide at 10 mg L−1. Semi-quantitation was conducted through the internal standard method and negative mode ionization, with linear relationships from R2 = 0.98 to 0.99. While further optimization with alternative internal standards may be considered, this study revealed the analytical potential in DART-ToF for rapid identification and quantitation of many environmental contaminants.

Subject

  • Rodenticides,
  • Environmental management,
  • Detection,
  • Poisoning

Rights

Pagination

9000-9016

Peer review

Yes

Open access level

Gold

Identifiers

ISSN
1759-9679

Article

Journal title
Analytical Methods
Journal volume
17
Journal issue
44
Accepted date
2025-10-12
Submitted date
2025-08-29

URI

Collection(s)

Biodiversity

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