Evidence map›Paper›PMID 36234823›Full record

ReviewMolecules (Basel, Switzerland)2022

Green Extraction Processes for Complex Samples from Vegetable Matrices Coupled with On-Line Detection System: A Critical Review.

Francisco W Maciel-Silva, Daniel Lachos-Perez, Luz Selene Buller, William G Sganzerla, Montserrat Pérez, Mauricio A Rostagno, Tania Forster-Carneiro

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 3 institutions in 2 countries.

Francisco W Maciel-SilvaSchool of Food Engineering (FEA), University of Campinas (UNICAMP), Campinas 13083-862, SP, Brazil.ORCID 0000-0003-1174-7831
Daniel Lachos-PerezDepartment of Chemical Engineering, Federal University of Santa Maria, Santa Maria 97105-900, RS, Brazil.ORCID 0000-0002-9505-8605
Luz Selene BullerSchool of Food Engineering (FEA), University of Campinas (UNICAMP), Campinas 13083-862, SP, Brazil.ORCID 0000-0001-9602-6210
William G SganzerlaSchool of Food Engineering (FEA), University of Campinas (UNICAMP), Campinas 13083-862, SP, Brazil.ORCID 0000-0002-1780-2160
Montserrat PérezDepartment of Environmental Technologies, University of Cadiz, Campus de Puerto Real, S/N, Puerto Real, 11500 Cadiz, Spain.
Mauricio A RostagnoSchool of Applied Sciences (FCA), University of Campinas (UNICAMP), Limeira 13484-350, SP, Brazil.ORCID 0000-0003-1763-5697
Tania Forster-CarneiroSchool of Food Engineering (FEA), University of Campinas (UNICAMP), Campinas 13083-862, SP, Brazil.ORCID 0000-0002-0514-3460
Universidade Estadual de Campinas (UNICAMP) · BRUniversidad de Cádiz · ESUniversidade Federal de Santa Maria · BR

Funding

National Council for Scientific and Technological Development 302473/2019-0National Council for Scientific and Technological Development 302610/2021-9São Paulo Research Foundation 2016/50612-8São Paulo Research Foundation 2018/05999-0São Paulo Research Foundation 2018/14582-5São Paulo Research Foundation 2018/14938-4São Paulo Research Foundation 2019/08542-3São Paulo Research Foundation 2020/10323-5
6 · The paper itself

Abstract

The detection of analytes in complex organic matrices requires a series of analytical steps to obtain a reliable analysis. Sample preparation can be the most time-consuming, prolonged, and error-prone step, reducing the reliability of the investigation. This review aims to discuss the advantages and limitations of extracting bioactive compounds, sample preparation techniques, automation, and coupling with on-line detection. This review also evaluates all publications on this topic through a longitudinal bibliometric analysis, applying statistical and mathematical methods to analyze the trends, perspectives, and hot topics of this research area. Furthermore, state-of-the-art green extraction techniques for complex samples from vegetable matrices coupled with analysis systems are presented. Among the extraction techniques for liquid samples, solid-phase extraction was the most common for combined systems in the scientific literature. In contrast, for on-line extraction systems applied for solid samples, supercritical fluid extraction, ultrasound-assisted extraction, microwave-assisted extraction, and pressurized liquid extraction were the most frequent green extraction techniques.

Indexed as

Chromatography, Supercritical FluidVegetablesMicrowavesReproducibility of ResultsSolid Phase Extractionbibliometric analysisfully automated analysisgreen extraction techniqueson-line couplingsample preparation

Identifiers

PMID36234823
PMCPMC9571248
OpenAlexW4297359819

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.