Evidence map›Paper›PMID 32251305›Full record

ArticleScientific reports2020

Identification of Anoplophora glabripennis (Moschulsky) by its emitted specific volatile organic compounds.

Ramona Makarow, Sara Schäfer, Peter Kaul

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  3. Article
  4. Review
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 at 1 institution in 1 country.

Ramona MakarowSafety and Security Research Institute, Institute of Detection Technologies, Hochschule Bonn-Rhein-Sieg University of Applied Sciences, von-Liebig-Straße 20, 53359, Rheinbach, Germany. ramona.makarow@h-brs.de.
Sara SchäferSafety and Security Research Institute, Institute of Detection Technologies, Hochschule Bonn-Rhein-Sieg University of Applied Sciences, von-Liebig-Straße 20, 53359, Rheinbach, Germany.
Peter KaulSafety and Security Research Institute, Institute of Detection Technologies, Hochschule Bonn-Rhein-Sieg University of Applied Sciences, von-Liebig-Straße 20, 53359, Rheinbach, Germany.
Hochschule Bonn-Rhein-Sieg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Explorative experiments were done to figure out differences in the emission of volatile organic compounds (VOCs) of not infested trees and trees infested by Anoplophora glabripennis (Asian longhorn beetle, ALB), a quarantine pest. Therefore, VOCs from some native insect species, Anoplophora glabripennis infested Acer, stressed Acer, healthy Acer, Populus and Salix were obtained by enrichment on adsorbents. Qualitative analysis was done by thermal desorption gas chromatography coupled with a mass selective detector (TD-GC/MS). Altogether 169 substances were identified. 11 substances occur from ALB infested or mechanically damaged trees i.e. stressed trees, but not from healthy trees. (+)-Cyclosativene, (+)-α-longipinene, copaene and caryophyllene are detectable only from ALB-infested Acer not from mechanically damaged or healthy Acer. However, these substances are also emitted by healthy Salix. 2,4-Dimethyl-1-heptene is among all tree samples exclusively present in the ambience of ALB-infested trees. It´s rarely detectable from native insect species' samples.

Indexed as

ColeopteraPlant DiseasesAcerAirAnimalsGas Chromatography-Mass SpectrometryLarvaOvipositionPopulusSalixVolatile Organic CompoundsVolatile Organic Compounds

Identifiers

PMID32251305
PMCPMC7089994
OpenAlexW3012719265

What OpenQuestion holds

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LicenceCC BY
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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.