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