Evidence map›Paper›PMID 38914559›Full record

ArticleScientific reports2024

Drying kinetics, thermodynamic properties and physicochemical characteristics of Rue leaves.

Geraldo Acácio Mabasso, Jennifer Cristhine Oliveira Cabral, Karine Feliciano Barbosa, Osvaldo Resende, Daniel Emanuel Cabral de Oliveira, Adrielle Borges de Almeida

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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
–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

2 citing papers in PubMed.

  1. Tri-Culture Fermentation of Neem (Plants (Basel, Switzerland) · 2026
    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

6 authors.

Geraldo Acácio MabassoFederal Institute of Education, Science and Technology Goiano - Rio Verde Campus, Sul Goiana Street, Km 1, Zona Rural, Rio Verde, Goiás, Brazil. geral.do@hotmail.com.
Jennifer Cristhine Oliveira CabralFederal Institute of Education, Science and Technology Goiano - Rio Verde Campus, Sul Goiana Street, Km 1, Zona Rural, Rio Verde, Goiás, Brazil.
Karine Feliciano BarbosaFederal Institute of Education, Science and Technology Goiano - Rio Verde Campus, Sul Goiana Street, Km 1, Zona Rural, Rio Verde, Goiás, Brazil.
Osvaldo ResendeFederal Institute of Education, Science and Technology Goiano - Rio Verde Campus, Sul Goiana Street, Km 1, Zona Rural, Rio Verde, Goiás, Brazil.
Daniel Emanuel Cabral de OliveiraFederal Institute of Education, Science and Technology Goiano - Rio Verde Campus, Sul Goiana Street, Km 1, Zona Rural, Rio Verde, Goiás, Brazil.
Adrielle Borges de AlmeidaFederal Institute of Education, Science and Technology Goiano - Rio Verde Campus, Sul Goiana Street, Km 1, Zona Rural, Rio Verde, Goiás, Brazil.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 310222/2021-4Federal Institute of Education, Science and Technology Goiano 23218.000327.2024-17
6 · The paper itself

Abstract

Generally, medicinal plants are harvested with high amount of water, so it is essential to subject the product to drying as soon as possible to prevent degradation before application. Most compounds from medicinal plants are sensitive to drying processes, so it is important to adjust the drying conditions. The objective of this study was to describe the drying of Rue (Ruta chalepensis L.) leaves, select the models that best fit each drying condition, determine the activation energy and thermodynamic properties of the leaves, and evaluate their quality after drying. Leaves were harvested with moisture content of 3.55 ± 0.05 kg

Indexed as

DesiccationPlant LeavesThermodynamicsKineticsPlants, MedicinalTemperatureWaterWaterAntioxidant activityBrowning indexMathematical modelingMedicinal plantsRuta chalepensis L.

Identifiers

PMID38914559
PMCPMC11196716

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Registered trials

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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.