Evidence map›Paper›PMID 37776351›Full record

ArticleAnalytical and bioanalytical chemistry2023

An effective method for the simultaneous extraction of 173 contaminants of emerging concern in freshwater invasive species and its application.

Diana P Manjarrés-López, Dyana Vitale, Sandra Callejas-Martos, Martí Usuriaga, Yolanda Picó, Sandra Pérez, Nicola Montemurro

Open access · hybridAbstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 21% of its field
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

1 citing paper in PubMed, 9 citations in OpenAlex.

  1. 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 at 2 institutions in 1 country.

Diana P Manjarrés-LópezEnvironmental and Water Chemistry for Human Health (ONHEALTH) Group, Institute of Environmental Assessment and Water Research (IDAEA-CSIC), c/Jordi Girona 18-26, 08034, Barcelona, Spain.
Dyana VitaleDesertification Research Centre (CIDE) (CSIC-UV-GV), University of Valencia, Road CV-315 Km 10.7, Moncada, 46113, Valencia, Spain.
Sandra Callejas-MartosEnvironmental and Water Chemistry for Human Health (ONHEALTH) Group, Institute of Environmental Assessment and Water Research (IDAEA-CSIC), c/Jordi Girona 18-26, 08034, Barcelona, Spain.
Martí UsuriagaEnvironmental and Water Chemistry for Human Health (ONHEALTH) Group, Institute of Environmental Assessment and Water Research (IDAEA-CSIC), c/Jordi Girona 18-26, 08034, Barcelona, Spain.
Yolanda PicóDesertification Research Centre (CIDE) (CSIC-UV-GV), University of Valencia, Road CV-315 Km 10.7, Moncada, 46113, Valencia, Spain.
Sandra PérezEnvironmental and Water Chemistry for Human Health (ONHEALTH) Group, Institute of Environmental Assessment and Water Research (IDAEA-CSIC), c/Jordi Girona 18-26, 08034, Barcelona, Spain.
Nicola MontemurroEnvironmental and Water Chemistry for Human Health (ONHEALTH) Group, Institute of Environmental Assessment and Water Research (IDAEA-CSIC), c/Jordi Girona 18-26, 08034, Barcelona, Spain. nmoqam@cid.csic.es.ORCID http://orcid.org/0000-0002-7496-203X
Institute of Environmental Assessment and Water Research · ESUniversitat de València · ES

Funding

Agencia Estatal de Investigación CICLIC-TRAPPER RTI 2018-097158-B-C31Agencia Estatal de Investigación CICLIC-TRAPPER RTI2018-097158-B-C33Economy and Knowledge Department of the Catalan Government through Consolidated Research Group 2021 SGR 01150Economy and Knowledge Department of the Catalan Government through Consolidated Research Group ONHEALTHMCIN/AEI/ 10.13039/501100011033 and, as appropriate, by "ESF Investing in your future" RYC2021-031725-IPREWATERPOLLUT Spanish Ministry of Science and Innovation 2022AEP007Spanish Ministry of Science and Innovation and the IDAEA-CSIC, a Centre of Excellence Severo Ochoa CEX2018-000794-S
6 · The paper itself

Abstract

A robust and efficient extraction method was developed to detect a broad range of pollutants of emerging interest in three freshwater invasive species: American red crab (Prokambarus clarkii), Asian clam (Corbicula fluminea), and pumpkinseed fish (Lepomis gibbosus). One native species, "petxinot" clam (Anodonta cygnea), was also evaluated. Invasive species are often more resistant to contamination and could be used in biomonitoring studies to assess the effect of contaminants of emerging concern on aquatic ecosystems while preserving potentially threatened native species. So far, most extraction methods developed for this purpose have focused on analyzing fish and generally focus on a limited number of compounds, especially analyzing compounds from the same family. In this sense, we set out to optimize a method that would allow the simultaneous extraction of 87 PhACs, 11 flame retardants, 21 per- and poly-fluoroalkyl substances, and 54 pesticides. The optimized method is based on ultrasound-assisted solvent extraction. Two tests were performed during method development, one to choose the extraction solvent with the best recovery efficiencies and one to select the best clean-up. The analysis was performed by high-performance liquid chromatography coupled to high-resolution mass spectrometry. The method obtained recoveries between 40 and 120% and relative standard deviations of less than 25% for 85% of the analytes in the four validated matrices. Limits of quantification between 0.01 ng g

Indexed as

Introduced SpeciesTandem Mass SpectrometryAnimalsEcosystemFresh WaterSolid Phase ExtractionSolventsSolventsAquatic contaminationAquatic faunaLC-MS/MSPerfluoroalkyl substancesPharmaceuticalsUltrasound-assisted solvent extraction

Identifiers

PMID37776351
PMCPMC10684701
OpenAlexW4387220659

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.