Evidence map›Paper›PMID 35744991›Full record

ArticleMolecules (Basel, Switzerland)2022

Chemotaxonomic Identification of Key Taste and Nutritional Components in 'Shushanggan Apricot' Fruits by Widely Targeted Metabolomics.

Bei Cui, Shu-Ming Liu, Tao Zheng

Open access · goldAbstract 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.5field-weighted citation impact, top 12% 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, 19 citations in OpenAlex.

  1. Article
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  5. Quality Evaluation ofFoods (Basel, Switzerland) · 2024
    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

3 authors at 1 institution in 1 country.

Bei CuiCollege of Forestry, Northwest Agriculture and Forestry University, Yangling, Xianyang 712100, China.ORCID 0000-0002-1094-1520
Shu-Ming LiuCollege of Science, Northwest Agriculture and Forestry University, Yangling, Xianyang 712100, China.ORCID 0000-0001-5119-0471
Tao ZhengCollege of Science, Northwest Agriculture and Forestry University, Yangling, Xianyang 712100, China.
Northwest A&F University · CN

Funding

Major Science and Technology Projects in Xianyang, Shaanxi, China 2020k01-35
6 · The paper itself

Abstract

The chemotypic and the content variation in taste substances and nutrients in 'Shushanggan apricot' fruits were detected by UPLC-MS/MS. A total of 592 compounds were identified, of which sucrose contributed mainly to the sweet taste and malic acid and citric acid were important organic acids affecting sweet-sour taste. γ-linolenic acid, α-linolenic acid and linoleic acid were the dominant free fatty acids, and neochlorogenic acid and chlorogenic acid were the predominant phenolic acids. Fruit taste was positively correlated with sucrose and negatively correlated with malic acid and citric acid. The differential metabolites were significantly enriched in the biosynthesis of amino acids and 2-oxocarboxylic acid metabolism pathways, regulating the sugar and organic acid biosynthesis. Taste and nutrient differences could be revealed by variations in composition and abundance of carbohydrates, organic acids and amino acids. The purpose of this study was to provide a comprehensive chemical characterization of taste and nutrient compounds in 'Shushanggan apricot' fruits.

Indexed as

Prunus armeniacaAcidsAmino AcidsCarbohydratesChromatography, LiquidCitric AcidFruitMetabolomicsSucroseTandem Mass SpectrometryTasteAcidsAmino AcidsCarbohydratesCitric AcidSucrosemetabolomicsnutrientsorganic acid‘Shushanggan apricot’sugar

Identifiers

PMID35744991
PMCPMC9227342
OpenAlexW4283018392

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.