Evidence map›Paper›PMID 40146327›Full record

ArticleAnalytical and bioanalytical chemistry2026

Development and validation of a multiclass LC-MS/MS method for the analysis of cyanotoxins.

Lydia Zamlynny, Hannah M Morris, Sabrina D Giddings, Johannes Kollatz, Timo H J Niedermeyer, Rob C Jamieson, Daniel G Beach

Abstract readValidation Study
In one paragraph

Article in Analytical and bioanalytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lydia ZamlynnyDepartment of Civil and Resource Engineering, Dalhousie University, 6299 South St, Halifax, NS, Canada.ORCID http://orcid.org/0009-0000-2227-246X
Hannah M MorrisDepartment of Civil and Resource Engineering, Dalhousie University, 6299 South St, Halifax, NS, Canada.ORCID http://orcid.org/0009-0002-4565-3817
Sabrina D GiddingsMetrology Research Centre, National Research Council of Canada, 1411 Oxford St, Halifax, NS, B3H 3Z1, Canada.ORCID http://orcid.org/0000-0003-1644-2121
Johannes KollatzInstitute of Pharmacy, Freie Universität Berlin, Königin-Luise-Str. 2+4, 14195, Berlin, Germany.
Timo H J NiedermeyerInstitute of Pharmacy, Freie Universität Berlin, Königin-Luise-Str. 2+4, 14195, Berlin, Germany.ORCID http://orcid.org/0000-0003-1779-7899
Rob C JamiesonDepartment of Civil and Resource Engineering, Dalhousie University, 6299 South St, Halifax, NS, Canada.ORCID http://orcid.org/0000-0002-0370-1510
Daniel G BeachDepartment of Civil and Resource Engineering, Dalhousie University, 6299 South St, Halifax, NS, Canada. daniel.beach@nrc-cnrc.gc.ca.ORCID http://orcid.org/0000-0002-5680-2112

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cyanobacteria are prokaryotic organisms that can form large monospecific blooms, which pose a risk to human and animal health as some species produce toxic secondary metabolites called cyanotoxins. Multiclass cyanotoxin analysis is challenging due to varying chemical and physical properties between classes, as well as potentially large numbers of analogues within each class. Incorporating anatoxins (ATXs) into multiclass methods can be particularly challenging due to their small molecular size, potential interferences, polarity, and a lack of chemical standards for most analogues. Here, we present the development of a multiclass LC-MS/MS method and a quantitative calibration solution for aetokthonotoxin (AETX), an emerging cyanotoxin linked to mass mortalities of bald eagles in the Eastern United States. The developed method is capable of detecting 17 microcystins (MCs), nodularin-R, three cylindrospermopsins (CYNs), AETX, and 17 ATXs, including recently tentatively identified 10-hydroxy analogues. Analytes were identified by retention time and product ion ratio matching with available standards. The method was evaluated with respect to limits of detection (LODs), linear range, accuracy, and precision using neat and matrix matched standards. LODs in wet cyanobacterial biofilms ranged from 0.14 ng/g for CYN to 2.8 ng/g for [Dha

Indexed as

Bacterial ToxinsCyanobacteriaMarine ToxinsMicrocystinsTandem Mass SpectrometryChromatography, LiquidCyanobacteria ToxinsLimit of DetectionLiquid Chromatography-Mass SpectrometryReproducibility of ResultsBacterial ToxinsCyanobacteria ToxinsMarine ToxinsMicrocystinsAetokthonotoxinAnatoxinsCyanobacteriaCyanotoxinsCylindrospermopsinsLC–MS/MSMicrocystinsMulticlass analysis

Identifiers

PMID40146327
PMCPMC12783199

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.