Evidence map›Paper›PMID 41157774›Full record

ArticlePlants (Basel, Switzerland)2025

Improving the Quality of Ylang-Ylang Essential Oils [

Abacar Chakira, Christian Soria, Laura Lallemand, Gary Mares, Marc Chillet, Cyrielle Garcia

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2025. 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. A Review on Ylang-Ylang (Molecules (Basel, Switzerland) · 2026
    Review
  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.

Abacar ChakiraCIRAD, UMR Qualisud, F-97410 Saint-Pierre, Réunion, France.
Christian SoriaCIRAD, UMR Qualisud, F-97410 Saint-Pierre, Réunion, France.ORCID 0000-0002-7235-7872
Laura LallemandCYROI, Plateforme de Recherche Cyclotron Réunion Océan Indien, F-97490 Sainte-Clotilde, Réunion, France.
Gary MaresCYROI, Plateforme de Recherche Cyclotron Réunion Océan Indien, F-97490 Sainte-Clotilde, Réunion, France.ORCID 0000-0001-7455-0062
Marc ChilletCIRAD, UMR Qualisud, F-97410 Saint-Pierre, Réunion, France.ORCID 0000-0002-2311-2908
Cyrielle GarciaQualisud, Univ Montpellier, Univ La Réunion, CIRAD, Institut Agro, Avignon Université, Montpellier, France.ORCID 0000-0001-6705-6859

Funding

European Union and the Region Reunion (Interreg-V Indian ocean 2018-21) research program Qualinnov II
6 · The paper itself

Abstract

Solvent-free microwave extraction (SFME) is a clean and advanced method of extracting essential oils. In this study, it was compared to conventional hydrodistillation (HD) and steam-water distillation (SD), which are commonly used to extract essential oils from fresh ylang-ylang flowers. The yield and density of essential oils extracted via SFME within 40 min after the appearance of the first oil drop were higher than those obtained via conventional HD and SD within 3 h after the appearance of the first drop. Analysis of chemical compounds in the essential oils showed a high degree of variability in volatile compounds between the three extraction methods. Light oxygenated compounds are odor-active constituents. They comprised 81.23% of the SFME extract, whereas their levels were lower in the HD (69.94%) and SD extracts (57.98%). Total aromatic compounds were also higher in the essential oils obtained via SFME than in those obtained via HD and SD. These results support the use of SFME for ylang-ylang essential oil extraction, as it offers promising energy-/time-saving characteristics, along with higher quality.

Indexed as

cananga odoratahydrodistillationsolvent-free microwave extractionsteam-water distillationvolatile compounds

Identifiers

PMID41157774
PMCPMC12567001

What OpenQuestion holds

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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.