Issue 7, 2026

Dynamic multiple reaction monitoring for high throughput detection and quantitation of polycyclic aromatic compounds

Abstract

This study presents a dynamic multiple reaction monitoring (dMRM) method for the simultaneous analysis of 122 polycyclic aromatic compounds (PACs), including polycyclic aromatic hydrocarbons (PAHs), alkylated PAHs, halogenated PAHs, heterocyclic PACs, and halogenated HPACs using gas chromatography–tandem mass spectrometry (GC-MS/MS). Conventional MRM methods for these complex mixtures (including the one used as our benchmark) require multiple GC injections and time segments to maintain sufficient MS dwell and cycle times. The dMRM developed here captured all our analytes in a single GC-injection. The analytical performance characteritsitc of the dMRM method was compared to our conventional time-segmented MRM methods using matrices of increasing complexity, including calibration standards, certified sediment and mussel reference materials, and an in-house fortified egg reference material. Instrument detection limits were similar for both methods and ranged from 0.1 to 1.3 pg µL−1. The dMRM method achieved comparable or improved precision and accuracy compared to conventional MRM for less complex matrices, such as standard solutions and biota. Negative systematic biases were observed for a subset of analytes in the sediment matrix for both approaches and are attributed to to non-exhaustive extractions rather than limitations of the MS methods. Provided that sample preparation is carefully optimized for challenging matrices, the dMRM technique offers a powerful tool for high-throughput environmental analysis of PACs, enabling a single GC injection to streamline laboratory workflows and enhance analytical efficiency.

Graphical abstract: Dynamic multiple reaction monitoring for high throughput detection and quantitation of polycyclic aromatic compounds

Supplementary files

Transparent peer review

To support increased transparency, we offer authors the option to publish the peer review history alongside their article.

View this article’s peer review history

Article information

Article type
Paper
Submitted
24 Nov 2025
Accepted
30 Jan 2026
First published
30 Jan 2026

Anal. Methods, 2026,18, 1503-1512

Dynamic multiple reaction monitoring for high throughput detection and quantitation of polycyclic aromatic compounds

Z. Xia, T. Halldorson, N. Vitharana, M. Kim, D. Daramola, C. Marvin, P. J. Thomas, R. A. Dupuis-Smith, J. F. Provencher and G. T. Tomy, Anal. Methods, 2026, 18, 1503 DOI: 10.1039/D5AY01950H

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements