Evidence map›Paper›PMID 37198224›Full record

ArticleScientific reports2023

Analysis of volatile compounds by GCMS reveals their rice cultivars.

Shengying Hu, Hongbo Ren, Yong Song, Feng Liu, Lili Qian, Feng Zuo, Li Meng

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

  1. Multi-Analysis Characterization ofFoods (Basel, Switzerland) · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. The Content of Volatile Organic Compounds inMolecules (Basel, Switzerland) · 2024
    Article
  6. Article
  7. 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.

Shengying HuEngineering Research Center of Agricultural Microbiology Technology, Ministry of Education, Heilongjiang University, Harbin, 150500, China.
Hongbo RenQuality and Safety Institute of Agricultural Products, Heilongjiang Academy of Agricultural Sciences, Harbin, 150086, China.
Yong SongEngineering Research Center of Agricultural Microbiology Technology, Ministry of Education, Heilongjiang University, Harbin, 150500, China.
Feng LiuQuality and Safety Institute of Agricultural Products, Heilongjiang Academy of Agricultural Sciences, Harbin, 150086, China.
Lili QianCollege of Food Science and Technology, Heilongjiang Bayi Agricultural University, Daqing, 163319, China.
Feng ZuoCollege of Food Science and Technology, Heilongjiang Bayi Agricultural University, Daqing, 163319, China.
Li MengEngineering Research Center of Agricultural Microbiology Technology, Ministry of Education, Heilongjiang University, Harbin, 150500, China. mengli198026@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the similarity in the grain and difference in the market value among many rice varieties, deliberate mislabeling and adulteration has become a serious problem. To check the authenticity, we aimed to discriminate rice varieties based on their volatile organic compounds (VOCs) composition by headspace solid phase microextraction (HS-SPME) coupled with gas chromatography mass spectrometry (GC-MS). The VOC profiles of Wuyoudao 4 from nine sites in Wuchang were compared to 11 rice cultivar from other regions. Multivariate analysis and unsupervised clustering showed an unambiguous distinction between Wuchang rice and non-Wuchang rice. Partial least squares discriminant analysis (PLS-DA) demonstrated a goodness of fit of 0.90 and a goodness of prediction of 0.85. The discriminating ability of volatile compounds is also supported by Random forest analysis. Our data revealed eight biomarkers including 2-acetyl-1-pyrroline (2-AP) that can be used for variation identification. Taken together, the current method can readily distinguish Wuchang rice from other varieties which it holds great potential in checking the authenticity of rice.

Indexed as

OryzaVolatile Organic CompoundsCluster AnalysisDiscriminant AnalysisGas Chromatography-Mass SpectrometryMultivariate AnalysisSolid Phase MicroextractionVolatile Organic Compounds

Identifiers

PMID37198224
PMCPMC10192344

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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.