Evidence map›Paper›PMID 35627008›Full record

ArticleFoods (Basel, Switzerland)2022

Analysis of the Fruit Quality of Pear (

Pufan Zheng, Mei Zhang, Xin Fang, Lili Tang, Zhixue Wang, Fuchen Shi

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. 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
1.7field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Metabolomics Analysis of Different Varieties ofFoods (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
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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

6 authors at 2 institutions in 1 country.

Pufan ZhengCollege of Life Sciences, Nankai University, Tianjin 300071, China.ORCID 0000-0002-5297-0901
Mei ZhangCollege of Life Sciences, Nankai University, Tianjin 300071, China.
Xin FangCollege of Life Sciences, Nankai University, Tianjin 300071, China.
Lili TangCollege of Life Sciences, Nankai University, Tianjin 300071, China.ORCID 0000-0002-6289-8990
Zhixue WangInstitute of Forestry and Pomology, Tianjin Academy of Agricultural Sciences, Tianjin 300384, China.
Fuchen ShiCollege of Life Sciences, Nankai University, Tianjin 300071, China.
Nankai University · CNTianjin Academy of Agricultural Sciences · CN

Funding

Innovation Project of Technology System of the Forest and Fruit Industry ITTFPRS2018001
6 · The paper itself

Abstract

Pear is a kind of common temperate fruit, whose metabolite composition that contributes to the difference in fruit quality is unclear. This study identified and quantified the metabolites using a widely targeted LC-MS/MS approach in three pear species, including Pyrus bretschneideri (PB), Pyrus usssuriensis (PU) and Pyrus pyrifolia (PP). A total of 493 metabolites were identified, consisting of 68 carbohydrates, 47 organic acids, 50 polyphenols, 21 amino acids, 20 vitamins, etc. The results of PCA and OPLS-DA demonstrated that the metabolite compositions differed distinctly with cultivar variability. Our results also involved some metabolic pathways that may link to the fruit quality based on KEGG pathway analysis, the pathway of phenylalanine metabolism revealed significant differences between PB and PP (p < 0.05). Furthermore, the study selected D-xylose, formononetin, procyanidin A1 and β-nicotinamide mononucleotide as the major differentially expressed metabolites in the three species. The present study can open new avenues for explaining the differences in fruit quality of the major commercial pear cultivars in China.

Indexed as

carbohydrateLC-MSmetabolomicspolyphenolPyrus

Identifiers

PMID35627008
PMCPMC9140454
OpenAlexW4280536358

What Socratic 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 Socratic graph.