Evidence map›Paper›PMID 41425308›Full record

ArticleACS measurement science au2025

Ratio Quantification of Geranium and Rose Essential Oil Mixtures via Deep Learning Analysis of Complex Raman Spectra.

Jia-Wei Tang, Yong-Xuan Hong, Jie Chen, Yun-Yun Xie, Zhang-Wen Ma, Qing-Hua Liu, Liang Wang

Abstract read
In one paragraph

Article in ACS measurement science au, 2025. 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. 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

7 authors.

Jia-Wei TangThe Marshall Centre for Infectious Diseases Research and Training, Division of Microbiology and Immunology, School of Biomedical Sciences, The University of Western Australia, Perth, WA 6009, Australia.
Yong-Xuan HongLaboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 5100080, China.
Jie ChenSchool of Medicine, South China University of Technology, Guangzhou 510006, China.
Yun-Yun XieSchool of Medicine, South China University of Technology, Guangzhou 510006, China.
Zhang-Wen MaState Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Taipa, Macau SAR 999078, China.
Qing-Hua LiuState Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Taipa, Macau SAR 999078, China.
Liang WangThe Marshall Centre for Infectious Diseases Research and Training, Division of Microbiology and Immunology, School of Biomedical Sciences, The University of Western Australia, Perth, WA 6009, Australia.ORCID https://orcid.org/0000-0001-5339-7484

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to their high economic value, essential oils (EOs) are increasingly subject to adulteration, posing significant challenges for quality assessment and control. Owing to its excellent molecular specificity, Raman spectroscopy has been widely employed for the analysis and evaluation of EO products. In this study, we collected a total of 2700 Raman spectra comprising rose essential oil (REO,

Indexed as

essential oilgeraniummachine learningRaman spectroscopyrose

Identifiers

PMID41425308
PMCPMC12715622

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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.