Evidence map›Paper›PMID 39948379›Full record

ArticleScientific reports2025

Visualization OPLS class models of GC-MS-based metabolomics data for identifying agarwood essential oil extracted by hydro-distillation.

Si-Zhu Qian, Yong-Mei Jiang, Qiao-Ling Yan, De-Huai Wu, Wen-Xian Zhang, Jen-Ping Chung

Abstract read
In one paragraph

Article in Scientific reports, 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. Article
  2. Gut microbiota and metabolite changes in metastatic colorectal cancerWorld journal of gastrointestinal oncology · 2025
    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.

Si-Zhu QianCollege of Life Sciences, Fujian Normal University, Qishan Campus, No.18 Middle Wulongjiang Avenue, Shangjie, Minhou, Fuzhou, 350117, Fujian, China.
Yong-Mei JiangCollege of Life Sciences, Fujian Normal University, Qishan Campus, No.18 Middle Wulongjiang Avenue, Shangjie, Minhou, Fuzhou, 350117, Fujian, China.
Qiao-Ling YanCollege of Life Sciences, Fujian Normal University, Qishan Campus, No.18 Middle Wulongjiang Avenue, Shangjie, Minhou, Fuzhou, 350117, Fujian, China.
De-Huai WuNational Quality Supervision and Inspection Center for Incense Products (Fujian), No. 1-1, West Liuan Shan Road, Taocheng Town, Yongchun County, Quanzhou City, 362600, Fujian, China.
Wen-Xian ZhangCollege of Life Sciences, Fujian Normal University, Qishan Campus, No.18 Middle Wulongjiang Avenue, Shangjie, Minhou, Fuzhou, 350117, Fujian, China. wxzhang@fjnu.edu.cn.
Jen-Ping ChungFujian Vocational College of Agriculture, No.116 Guishan, Hongxing Village, Jingyang Town, Fuqing City, Fuzhou, 350119, Fujian, China. 3311312699@qq.com.

Funding

Fujian Provincial Department of Science and Technology, China 2022N5004Fujian Provincial Department of Science and Technology, China 2023S0036
6 · The paper itself

Abstract

The composition of natural substances varies with plant species and cultivation environment factors, which is also a complex problem. A total of 127 substances of agarwood essential oils (AEOs) extracted by hydro-distillation were identified by GC-MS analysis. Among the components obtained from AEOs, sesquiterpenes and small molecule aromatic substances were the main components, and there were significantly fewer chromones. The aromatic compound 4-phenyl-2-butanone was the only common component. The VIP value and S-plot generated by the OPLS-DA model based on the comparison of regional groups or pairwise genotypes showed up to 26 potential markers at VIP > 1. The more common components of agarwood, such as sesquiterpenes α-guruene, agarospirol, guaiol, γ-eudesmol and chromone 2-phenylethyl-4H-chromen-4-one, contributed the most to the VIP value. Supervised OPLS-DA was better than that of PLS-DA, providing a reference for the quality evaluation of AEOs. This method emphasizes providing more information and obtaining additional information when combined with appropriate multivariate modeling and effective visualization of specific labeled metabolites for identification.

Indexed as

Gas Chromatography-Mass SpectrometryMetabolomicsOils, VolatileThymelaeaceaeDistillationOils, VolatileAgarwoodChemometricsEssential oilGC-MSOPLS-DA

Identifiers

PMID39948379
PMCPMC11825658

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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.