Evidence map›Paper›PMID 36296401›Full record

ArticleMolecules (Basel, Switzerland)2022

Chemotaxonomic Markers for the Leaf Buds of Common Finnish Trees and Shrubs: A Rapid UHPLC MS Fingerprinting Tool for Species Identification.

Marianna Manninen, Maarit Karonen, Juha-Pekka Salminen

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. 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. Chemodiversity of Arctic PlantPlants (Basel, Switzerland) · 2024
    Article
  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

3 authors.

Marianna ManninenNatural Chemistry Research Group, Department of Chemistry, University of Turku, FI-20014 Turku, Finland.ORCID 0000-0003-3102-7188
Maarit KaronenNatural Chemistry Research Group, Department of Chemistry, University of Turku, FI-20014 Turku, Finland.ORCID 0000-0002-9964-6527
Juha-Pekka SalminenNatural Chemistry Research Group, Department of Chemistry, University of Turku, FI-20014 Turku, Finland.

Funding

Alfred Kordelin Foundation n/aFinnish Cultural Foundation n/aPalomaa-Erikoski n/aTurku University Foundation n/a
6 · The paper itself

Abstract

In this study, a chemotaxonomic tool was created on the basis of ultra-high-performance liquid chromatography-mass spectrometry (UHPLC-MS) for the identification of 13 common Finnish deciduous trees and shrubs from their leaf bud metabolites. The bud extracts were screened with UHPLC-ESI-QqQ-MS and UHPLC-ESI-Q-Orbitrap-MS to discover suitable markers for each species. Two approaches were tested in the marker selection: (1) unique species-specific markers to obtain selective fingerprints per species and (2) major markers to maximise the sensitivity of the fingerprints. The markers were used to create two selected ion-recording-based fingerprinting tools with UHPLC-ESI-QqQ-MS. The methods were evaluated for their selectivity, repeatability, and robustness in plant species identification by analysing leaf buds from several replicates of each species. The created chemotaxonomic tools were shown to provide unique chromatographic profiles for the studied species in less than 6 min. A variety of plant metabolites, such as flavonoids, triterpenoids, and hydroxycinnamic acid derivatives, were found to serve as good chemotaxonomic markers for the studied species. In 10 out of 13 cases, species-specific markers were superior in creating selective and repeatable fingerprints.

Indexed as

TreesTriterpenesChromatography, High Pressure LiquidCoumaric AcidsFinlandFlavonoidsPlant ExtractsPlant LeavesCoumaric AcidsFlavonoidsPlant ExtractsTriterpeneschemotaxonomyfingerprintliquid chromatographymass spectrometry

Identifiers

PMID36296401
PMCPMC9611062

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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.