Evidence map›Paper›PMID 36358565›Full record

ArticleAntioxidants (Basel, Switzerland)2022

Green Carbon Dots as Additives of Biopolymer Films for Preserving from Oxidation of Oil-Based Products.

Sandra Rodríguez-Varillas, Clarissa Murru, Marta Elena Díaz-García, Rosana Badía-Laíño

Open access · goldAbstract read
In one paragraph

Article in Antioxidants (Basel, Switzerland), 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
1.1field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 11 citations in OpenAlex.

  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

4 authors at 1 institution in 1 country.

Sandra Rodríguez-VarillasDepartment of Physical and Analytical Chemistry, Faculty of Chemistry, University of Oviedo, 33006 Asturias, Spain.ORCID 0000-0002-6501-2817
Clarissa MurruDepartment of Physical and Analytical Chemistry, Faculty of Chemistry, University of Oviedo, 33006 Asturias, Spain.ORCID 0000-0002-2140-3701
Marta Elena Díaz-GarcíaDepartment of Physical and Analytical Chemistry, Faculty of Chemistry, University of Oviedo, 33006 Asturias, Spain.ORCID 0000-0003-1876-1388
Rosana Badía-LaíñoDepartment of Physical and Analytical Chemistry, Faculty of Chemistry, University of Oviedo, 33006 Asturias, Spain.ORCID 0000-0002-9489-2198
Universidad de Oviedo · ES

Funding

Agencia Estatal de Investigación de España (AEI) RTI2018-099756-B-I00European Regional Development Fund (FEDER) RTI2018-099756-B-I00Foundation for the Promotion in Asturias of Applied Scientific Research and Technology (FICYT) AYUD/2021/57506Ministerio de Ciencia, Innovación y Universidades de España (MCIU) RTI2018-099756-B-I00
6 · The paper itself

Abstract

The deterioration of oil-based products during processing, distribution and storage has a major negative impact on the industry from an economic point of view. The spoilage of oil is mainly due to its oxidation which can be triggered by various factors, such as UV light, heating or the presence of impurities that result in the formation of radical species. In this context, several packaging alternatives have recently been developed with the aim to protect and extend the shelf life of oil-based products. This work aimed to study the antioxidant properties of bio-polymer-based films (BPFs) obtained from high methoxylated pectin (HMP) and sodium caseinate (CAS) and enriched with different concentrations of green carbon dots (gCDs), 0.25%, 0.50 and 1%

Indexed as

active packagingantioxidant propertiescomposite filmsgreen carbon dotsnano-additives

Identifiers

PMID36358565
PMCPMC9686731
OpenAlexW4308475444

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.