Evidence map›Paper›PMID 28425482›Full record

ArticleScientific reports2017

Molecular differentiation of five Cinnamomum camphora chemotypes using desorption atmospheric pressure chemical ionization mass spectrometry of raw leaves.

Xiali Guo, Meng Cui, Min Deng, Xingxing Liu, Xueyong Huang, Xinglei Zhang, Liping Luo

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.6field-weighted citation impact, top 7% of its field
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

15 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
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  3. Phytotoxicity of Chemical Compounds fromInternational journal of environmental research and public health · 2022
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  7. Effects of Cinnamon (Molecules (Basel, Switzerland) · 2020
    Review
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  10. Functional nano-catalyzed pyrolyzates from branch ofSaudi journal of biological sciences · 2019
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  11. Article
  12. …Fell Upas Sits, the Hydra-Tree of DeathMolecules (Basel, Switzerland) · 2019
    Review
  13. Article
  14. Review
  15. 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 at 3 institutions in 1 country.

Xiali GuoSchool of Life Sciences, Nanchang University, Nanchang, Jiangxi 330031, China.
Meng CuiSchool of Life Sciences, Nanchang University, Nanchang, Jiangxi 330031, China.
Min DengSchool of Life Sciences, Nanchang University, Nanchang, Jiangxi 330031, China.
Xingxing LiuSchool of Life Sciences, Nanchang University, Nanchang, Jiangxi 330031, China.
Xueyong HuangSchool of Life Sciences, Nanchang University, Nanchang, Jiangxi 330031, China.
Xinglei ZhangJiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China Institute of Technology, Nanchang, Jiangxi 330013, China.
Liping LuoSchool of Life Sciences, Nanchang University, Nanchang, Jiangxi 330031, China.
Nanchang University · CNState Key Laboratory of Food Science and Technology · CNEast China University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Five chemotypes, the isoborneol-type, camphora-type, cineole-type, linalool-type and borneol-type of Cinnamomum camphora (L.) Presl have been identified at the molecular level based on the multivariate analysis of mass spectral fingerprints recorded from a total of 750 raw leaf samples (i.e., 150 leaves equally collected for each chemotype) using desorption atmospheric pressure chemical ionization mass spectrometry (DAPCI-MS). Both volatile and semi-volatile metabolites of the fresh leaves of C. camphora were simultaneously detected by DAPCI-MS without any sample pretreatment, reducing the analysis time from half a day using conventional methods (e.g., GC-MS) down to 30 s. The pattern recognition results obtained using principal component analysis (PCA) was cross-checked by cluster analysis (CA), showing that the difference visualized by the DAPCI-MS spectral fingerprints was validated with 100% accuracy. The study demonstrates that DAPCI-MS meets the challenging requirements for accurate differentiation of all the five chemotypes of C. camphora leaves, motivating more advanced application of DAPCI-MS in plant science and forestry studies.

Indexed as

Atmospheric PressureAcyclic MonoterpenesCamphanesCamphorCinnamomum camphoraCluster AnalysisEucalyptolMonoterpenesPlant LeavesPrincipal Component AnalysisReproducibility of ResultsSpectrometry, Mass, Electrospray IonizationAcyclic MonoterpenesCamphanesCamphorEucalyptolisoborneollinaloolMonoterpenes

Identifiers

PMID28425482
PMCPMC5397862
OpenAlexW2605815718

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.