Evidence map›Paper›PMID 41975986›Full record

ArticleAnimals : an open access journal from MDPI2026

In Vitro Evaluation of Spearmint Essential Oil (

Chengzhen Huang, Jiamin Chen, Lin Wang, Lei Wang, Jiayi Li, Lifeng Dong

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2026. 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
–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

1 citing paper in PubMed.

  1. From Composition to Function: Lime Essential Oil (Molecules (Basel, Switzerland) · 2026
    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.

Chengzhen HuangSino-US Joint Lab on Nutrition and Metabolism of Ruminant, Institute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0009-0009-4395-9434
Jiamin ChenCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.ORCID 0009-0000-0817-2454
Lin WangJoint International Research Laboratory of Agriculture and Agri-Product Safety, Institute of Agricultural Science and Technology Development, Yangzhou 225009, China.ORCID 0000-0002-8518-0623
Lei WangInstitute of Microbiology, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China.ORCID 0009-0006-8228-2129
Jiayi LiSino-US Joint Lab on Nutrition and Metabolism of Ruminant, Institute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0009-0002-1438-3148
Lifeng DongSino-US Joint Lab on Nutrition and Metabolism of Ruminant, Institute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0003-1517-3839

Funding

The National Key R&D Program Project of China 2024YFD1300202
6 · The paper itself

Abstract

Reducing enteric methane emissions from ruminants has emerged as a critical environmental priority in the face of global climate change, given the substantial contribution of methane to agricultural greenhouse gas outputs. This study evaluated the potential of spearmint essential oil (SEO) to reduce methane production and enhance energy utilization efficiency using an in vitro rumen fermentation system. The experiment comprised a control (CON, no additive), three SEO doses (L-SEO: 100 mg/L; M-SEO: 200 mg/L; H-SEO: 400 mg/L), and a commercial essential oil blend (AGL: 150 mg/L). Results indicated that M-SEO and H-SEO significantly reduced methane production at 24 h from 58.11 mL/g DM in CON to 47.93 and 46.58 mL/g DM, respectively (

Indexed as

methane emissionmethyl-coenzyme M reductasemicrobial communityrumen fermentationspearmint essential oil

Identifiers

PMID41975986
PMCPMC13072032

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.