Evidence map›Paper›PMID 30322071›Full record

ArticleSensors (Basel, Switzerland)2018

Discrimination of

Junjun Fan, Wangxiang Zhang, Ting Zhou, Dandan Zhang, Donglin Zhang, Long Zhang, Guibin Wang, Fuliang Cao

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 28 citations in OpenAlex.

  1. Macrostructure ofPlants (Basel, Switzerland) · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Flowering Stage and Daytime Affect Scent Emission ofMolecules (Basel, Switzerland) · 2019
    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

8 authors at 2 institutions in 2 countries.

Junjun FanCollege of Forestry, Nanjing Forestry University, Nanjing 210037, China. Junjun.Fan@uga.edu.
Wangxiang ZhangCollege of Forestry, Nanjing Forestry University, Nanjing 210037, China. malus2011@163.com.
Ting ZhouCollege of Forestry, Nanjing Forestry University, Nanjing 210037, China. 15905184674@163.com.
Dandan ZhangCollege of Forestry, Nanjing Forestry University, Nanjing 210037, China. nanlindandan@126.com.
Donglin ZhangDepartment of Horticulture, University of Georgia, Athens, GA 30602, USA. Donglin@uga.edu.
Long ZhangCollege of Forestry, Nanjing Forestry University, Nanjing 210037, China. 15298395916@163.com.
Guibin WangCollege of Forestry, Nanjing Forestry University, Nanjing 210037, China. guibinwang99@163.com.
Fuliang CaoCollege of Forestry, Nanjing Forestry University, Nanjing 210037, China. 13913028679@163.com.
Nanjing Forestry University · CNUniversity of Georgia · US

Funding

Jiangsu Provincial Science and Technology Department BE2017375-2National Germplasm Center of Crabapple in China 164010065the Priority Academic Program Development of Jiangsu Higher Education Institution (PAPD) 164010189
6 · The paper itself

Abstract

Floral scent is important in plant reproduction and also has aesthetic implications. However, the accurate determination of aroma is presently limited by the available collection and analysis tools. In this study, the floral scents of four crabapple taxa exhibiting faint, weak, clear, and strong scent intensities were comparatively analyzed by electronic nose (E-nose) and gas chromatography⁻mass spectrometry (GC⁻MS). The E-nose was able to effectively group the different taxa in the principal component analysis in correspondence with scent intensity. GC⁻MS analysis identified a total of 60 volatile compounds. The content of nitrogen-containing compounds and aliphatics and the number of unique components of the more aromatic taxa was significantly higher than the less aromatic taxa. α-Cedrene, β-cedrene, 5-methyl-1,3-dihydro-2H-benzimidazol-2-one, benzyl alcohol, linalool, and 4-pyrrolidinopyridine contributed significantly to taxon separation. The pattern recognition results confirmed that the E-nose results corroborated the GC⁻MS results. Furthermore, partial least squares regression analysis between the aromatic constituents and sensors indicated that particular sensors were highly sensitive to N-containing compounds, aliphatics, and terpenes. In conclusion, the E-nose is capable of discriminating crabapple taxa of different scent intensities in both a qualitative and quantitative respect, presenting a rapid and accurate reference approach for future applications.

Indexed as

Electronic NoseFlowersGas Chromatography-Mass SpectrometryLeast-Squares AnalysisMalusOdorantsPrincipal Component AnalysisSpecies SpecificityVolatile Organic CompoundsVolatile Organic Compoundscrabappleelectronic noseflower scentGC–MSintensityPLSR

Identifiers

PMID30322071
PMCPMC6210091
OpenAlexW2897683392

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.