Evidence map›Paper›PMID 35454670›Full record

ArticleFoods (Basel, Switzerland)2022

Natural Pectin-Based Edible Composite Coatings with Antifungal Properties to Control Green Mold and Reduce Losses of 'Valencia' Oranges.

María Victoria Alvarez, Lluís Palou, Verònica Taberner, Asunción Fernández-Catalán, Maricruz Argente-Sanchis, Eleni Pitta, María Bernardita Pérez-Gago

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

7 citing papers in PubMed, 31 citations in OpenAlex.

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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 3 countries.

María Victoria AlvarezGrupo de Investigación en Ingeniería en Alimentos, Departamento de Ingeniería Química y en Alimentos, Facultad de Ingeniería, Universidad Nacional de Mar del Plata, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Mar del Plata 7600, Argentina.
Lluís PalouCentre de Tecnologia Postcollita (CTP), Institut Valencià d'Investigacions Agràries (IVIA), 46113 València, Spain.ORCID 0000-0002-9385-6814
Verònica TabernerCentre de Tecnologia Postcollita (CTP), Institut Valencià d'Investigacions Agràries (IVIA), 46113 València, Spain.
Asunción Fernández-CatalánCentre de Tecnologia Postcollita (CTP), Institut Valencià d'Investigacions Agràries (IVIA), 46113 València, Spain.
Maricruz Argente-SanchisCentre de Tecnologia Postcollita (CTP), Institut Valencià d'Investigacions Agràries (IVIA), 46113 València, Spain.
Eleni PittaCentre de Tecnologia Postcollita (CTP), Institut Valencià d'Investigacions Agràries (IVIA), 46113 València, Spain.
María Bernardita Pérez-GagoCentre de Tecnologia Postcollita (CTP), Institut Valencià d'Investigacions Agràries (IVIA), 46113 València, Spain.ORCID 0000-0002-2131-6018
Instituto Valenciano de Investigaciones Agrarias · ESAristotle University of Thessaloniki · GRConsejo Nacional de Investigaciones Científicas y Técnicas · AR

Funding

Agencia Estatal de Investigación PCI2020-112095EU PRIMA Programme StopMedWaste projectEuropean Regional Development Fund Project 51910Instituto Valenciano de Investigaciones Agrarias Project 51910
6 · The paper itself

Abstract

Novel pectin-based, antifungal, edible coatings (ECs) were formulated by the addition of natural extracts or essential oils (EOs), and their ability to control green mold (GM), caused by

Indexed as

citrusedible coatingsessential oilsnatural extractsPenicillium digitatumpostharvest decay

Identifiers

PMID35454670
PMCPMC9033115
OpenAlexW4224254283

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.