Evidence map›Paper›PMID 35563946›Full record

ArticleFoods (Basel, Switzerland)2022

Chemical vs. Enzymatic Refining to Produce Peanut Oil for Edible Use or to Obtain a Sustainable and Cost-Effective Protector for Stored Grains against

Monica Macaluso, Priscilla Farina, Linda Rossi, Alessandro Bianchi, Francesca Venturi, Rodrigo Daniel Chiriboga Ortega, Stefano Bedini, Barbara Conti, Luca Guidi, Angela Zinnai

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

10 authors at 2 institutions in 2 countries.

Monica MacalusoDepartment of Agriculture, Food and Environment, University of Pisa, 56124 Pisa, Italy.
Priscilla FarinaDepartment of Agriculture, Food and Environment, University of Pisa, 56124 Pisa, Italy.ORCID 0000-0001-9000-9276
Linda RossiSALOV S.p.A., Via di Montramito, 1600, 55054 Massarosa, Italy.
Alessandro BianchiDepartment of Agriculture, Food and Environment, University of Pisa, 56124 Pisa, Italy.ORCID 0000-0001-6482-527X
Francesca VenturiDepartment of Agriculture, Food and Environment, University of Pisa, 56124 Pisa, Italy.ORCID 0000-0002-7844-3253
Rodrigo Daniel Chiriboga OrtegaDepartment of Biotechnology, Universidad Técnica del Norte, Ibarra 100105, Ecuador.
Stefano BediniDepartment of Agriculture, Food and Environment, University of Pisa, 56124 Pisa, Italy.ORCID 0000-0002-3760-9894
Barbara ContiDepartment of Agriculture, Food and Environment, University of Pisa, 56124 Pisa, Italy.ORCID 0000-0002-7861-1536
Luca GuidiInterdepartmental Research Center, Nutraceuticals and Food for Health, University of Pisa, 56124 Pisa, Italy.
Angela ZinnaiDepartment of Agriculture, Food and Environment, University of Pisa, 56124 Pisa, Italy.
University of Pisa · ITUniversidad Técnica del Norte · EC

Funding

VALE Project CUP D56G18000160009
6 · The paper itself

Abstract

Among the various existing techniques, enzymatic degumming represents a process that is establishing itself as a valid alternative to the more classic chemical processes. Moreover, vegetable oils of various origins have been gaining more consideration as sustainable and affordable protectants for cereals and pulses against the attack of several insect pests.

Indexed as

enzymefoodstuff pestmaize weevilphospholipidsrefined processtoxicitywheat

Identifiers

PMID35563946
PMCPMC9104994
OpenAlexW4224323637

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.