Evidence map›Paper›PMID 37532864›Full record

ArticleAnalytical and bioanalytical chemistry2023

Automated microextraction by packed sorbent of endocrine disruptors in wastewater using a high-throughput robotic platform followed by liquid chromatography-tandem mass spectrometry.

Marcio David Bocelli, Deyber Arley Vargas Medina, Fernando Mauro Lanças, Álvaro José Dos Santos-Neto

Abstract read
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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
–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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Marcio David BocelliSão Carlos Institute of Chemistry, University of São Paulo, São Carlos, SP, Brazil.
Deyber Arley Vargas MedinaSão Carlos Institute of Chemistry, University of São Paulo, São Carlos, SP, Brazil.
Fernando Mauro LançasSão Carlos Institute of Chemistry, University of São Paulo, São Carlos, SP, Brazil.
Álvaro José Dos Santos-NetoSão Carlos Institute of Chemistry, University of São Paulo, São Carlos, SP, Brazil. alvarojsn@iqsc.usp.br.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 307293/2014-9Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Finance Code 001Fundação de Amparo à Pesquisa do Estado de São Paulo 2014Fundação de Amparo à Pesquisa do Estado de São Paulo 2015/15462-5Fundação de Amparo à Pesquisa do Estado de São Paulo 2017/02147-0Fundação de Amparo à Pesquisa do Estado de São Paulo 2019/22724-7
6 · The paper itself

Abstract

An automated microextraction by packed sorbent followed by liquid chromatography-tandem mass spectrometry (MEPS-LC-MS/MS) method was developed for the determination of four endocrine disruptors-parabens, benzophenones, and synthetic phenolic antioxidants-in wastewater samples. The method utilizes a lab-made repackable MEPS device and a multi-syringe robotic platform that provides flexibility to test small quantities (2 mg) of multiple extraction phases and enables high-throughput capabilities for efficient method development. The overall performance of the MEPS procedure, including the investigation of influencing variables and the optimization of operational parameters for the robotic platform, was comprehensively studied through univariate and multivariate experiments. Under optimized conditions, the target analytes were effectively extracted from a small sample volume of 1.5 mL, with competitive detectability and analytical confidence. The limits of detection ranged from 0.15 to 0.30 ng L

Indexed as

Endocrine DisruptorsRoboticsSolid Phase MicroextractionTandem Mass SpectrometryWastewaterWater Pollutants, ChemicalAutomationChromatography, LiquidLimit of DetectionEndocrine DisruptorsWastewaterWater Pollutants, ChemicalAutomated sample preparationLiquid chromatographyMass spectrometryMicroextraction by packed sorbentOrganic pollutantsWastewater analysis

Identifiers

PMID37532864

What OpenQuestion holds

Textmetadata
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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.