Evidence map›Paper›PMID 28054991›Full record

ArticleMolecules (Basel, Switzerland)2017

Green Sonoextraction of Protein from Oleaginous Press Rapeseed Cake.

Meryem Boukroufa, Anne-Gaëlle Sicaire, Frederic Fine, Colette Larré, Aude Le Goff, Véronique Solé Jamault, Njara Rakotomanomana, Farid Chemat

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2017. 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

8 authors.

Meryem BoukroufaGREEN Extraction Team, Avignon University, INRA, UMR408, F-84000 Avignon, France. meriem.boukroufa@alumni.univ-avignon.fr.
Anne-Gaëlle SicaireTerres Inovia, 33600 Pessac, France. ag.sicaire@terresinovia.fr.
Frederic FineTerres Inovia, 33600 Pessac, France. f.fine@terresinovia.fr.
Colette LarréINRA, UR 1268 Biopolymeres Interactions Assemblages, 44316 Nantes CEDEX 3, France. colette.larre@inra.fr.
Aude Le GoffINRA, UR 1268 Biopolymeres Interactions Assemblages, 44316 Nantes CEDEX 3, France. aude.le-goff@inra.fr.
Véronique Solé JamaultINRA, UR 1268 Biopolymeres Interactions Assemblages, 44316 Nantes CEDEX 3, France. veronique.sole@inra.fr.
Njara RakotomanomanaGREEN Extraction Team, Avignon University, INRA, UMR408, F-84000 Avignon, France. njara.rakotomanomana@univ-avignon.fr.
Farid ChematGREEN Extraction Team, Avignon University, INRA, UMR408, F-84000 Avignon, France. farid.chemat@univ-avignon.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, extraction of soluble proteins from rapeseed cake using different conventional and innovative extraction processes in order to maximize the extraction yield has been investigated. Firstly, various extraction techniques including ultrasound, microwave, and percolation were tested to increase the protein recovery efficiency. Secondly, response surface methodology (RSM) using a central composite design (CCD) approach was applied to investigate the influence of process variables on ultrasound-assisted extraction (UAE). Statistical analysis revealed that the optimized conditions providing a protein yield of 4.24 g/100 g DM were an ultrasound power of 5.6 W·cm

Indexed as

Green Chemistry TechnologyBrassica rapaChromatography, High Pressure LiquidFactor Analysis, StatisticalMicrowavesPlant ExtractsPlant ProteinsSolid Phase ExtractionSonicationTemperaturePlant ExtractsPlant Proteinsgreen extractionmicrowaveproteinrapeseedultrasound

Identifiers

PMID28054991
PMCPMC6155745

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.