Evidence map›Paper›PMID 35106613›Full record

ArticleAnalytical and bioanalytical chemistry2022

A cartridge-based device for automated analyses of solid matrices by online sample prep-capillary LC-MS/MS.

Edvaldo Vasconcelos Soares Maciel, Fernando Mauro Lanças

Abstract read
PubMed Publisher
In one paragraph

Article in Analytical and bioanalytical chemistry, 2022. 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. 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

2 authors.

Edvaldo Vasconcelos Soares MacielUniversity of São Paulo, São Carlos, Institute of Chemistry of São Carlos, Av. Trabalhador São-Carlense, 400, São Carlos, SP, Postal Code: 13566590, Brazil.
Fernando Mauro LançasUniversity of São Paulo, São Carlos, Institute of Chemistry of São Carlos, Av. Trabalhador São-Carlense, 400, São Carlos, SP, Postal Code: 13566590, Brazil. flancas@iqsc.usp.br.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 07293/2014-9Conselho Nacional de Desenvolvimento Científico e Tecnológico 308843/2019-3Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Finance Code 001Fundação der Amparo a Pesquisa do Estado de Sao Paulo, FAPESP Grant 2017/02147-0Fundação der Amparo a Pesquisa do Estado de Sao Paulo, FAPESP Grant 2017/21985-6
6 · The paper itself

Abstract

Sample preparation is an essential step focused on eliminating interfering compounds while pre-concentrating the analytes. However, its multiple steps are laborious, time-consuming, and a source of errors. Currently, automated approaches represent a promising alternative to overcome these drawbacks. Similarly, miniaturisation has been considered an ideal strategy for creating greener analytical workflows. The combination of these concepts is currently highly desired by analytical chemists. However, most automated and miniaturised sample preparation techniques are primarily concerned with liquid samples, while solids are frequently overlooked. We present an approach based on a cartridge packed with solids (soil samples) coupled with a capillary LC-MS, combining sample preparation and analytical steps into a unique platform. As a proof-of-concept, nine pesticides used in sugarcane crops were extracted and analysed by our proposed method. For optimisation, a fractional factorial design (2

Indexed as

PesticidesTandem Mass SpectrometryAnimalsChromatography, LiquidEdible GrainIndicator Dilution TechniquesSolid Phase ExtractionPesticidesAutomationLiquid chromatographyMass spectrometryMiniaturisationPesticidesSample preparation

Identifiers

What OpenQuestion holds

Textmetadata
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.