Evidence map›Paper›PMID 35267823›Full record

ArticlePolymers2022

PVDF/KNO

Fabio Sobral, Michael J Silva, Thalita Canassa, Além-Mar Goncalves, Cícero Cena

Open access · goldAbstract read
In one paragraph

Article in Polymers, 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
0.4field-weighted citation impact, top 45% 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, 5 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 2 institutions in 1 country.

Fabio SobralPrograma de Pós-Graduação em Química, Instituto de Química, UFMS-Universidade Federal de Mato Grosso do Sul, Campo Grande 79070-900, Brazil.
Michael J SilvaUNESP-Universidade Estadual Paulista "Júlio de Mesquita Filho", Rosana 19272-000, Brazil.
Thalita CanassaPrograma de Pós-Graduação em Química, Instituto de Química, UFMS-Universidade Federal de Mato Grosso do Sul, Campo Grande 79070-900, Brazil.
Além-Mar GoncalvesPrograma de Pós-Graduação em Química, Instituto de Química, UFMS-Universidade Federal de Mato Grosso do Sul, Campo Grande 79070-900, Brazil.ORCID 0000-0001-7052-4713
Cícero CenaPrograma de Pós-Graduação em Ciência dos Materiais, Instituto de Física, UFMS-Universidade Federal de Mato Grosso do Sul, Campo Grande 79070-900, Brazil.ORCID 0000-0001-8766-6144
Universidade Federal de Mato Grosso do Sul · BRUniversidade Estadual Paulista (Unesp) · BR

Funding

Coordenação de Aperfeicoamento de Pessoal de Nível Superior 001National Council for Scientific and Technological Development 408127/2018-0
6 · The paper itself

Abstract

Nutrient supplementation is a common practice in agriculture to increase crop productivity in the field. This supplementation is usually excessive, causing nutrient leaching in periods of rainfall leading to environmental problems. To overcome such issues, many studies have been devoted to developing polymeric matrices for the controlled and continuous release of nutrients, reducing losses, and keeping plants nourished for as long as possible. However, the release mechanism of these matrices is based on water diffusion. They start immediately for swellable polymeric matrices, which is not interesting and also may cause some waste, because the plant only needs nutrition only after the germination process. Here, as proof of concept, we tested a hydrophobic polymeric matrix based on sub-microfibers mats, produced by solution blow spinning, filled with potassium nitrate (KNO

Indexed as

controlled releasenanofiberPVDFsolution spinning

Identifiers

PMID35267823
PMCPMC8912621
OpenAlexW4214911515

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.