Evidence map›Paper›PMID 36655076›Full record

ArticleFood science & nutrition2023

Identification of compounds from chufa (

Guanli Li, Shuangquan Huang, Xiaochun Li, Yanghe Luo, Hui Nie

Abstract read
In one paragraph

Article in Food science & nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. The Research of New Natural Spontaneous FertileInternational journal of molecular sciences · 2026
    Article
  2. Identification of compounds from chufa (Food science & nutrition · 2023
    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

5 authors.

Guanli LiGuangxi Key Laboratory of Health Care Food Science and Technology Hezhou University Hezhou Guangxi China.ORCID https://orcid.org/0000-0002-1574-7807
Shuangquan HuangGuangxi Key Laboratory of Health Care Food Science and Technology Hezhou University Hezhou Guangxi China.
Xiaochun LiGuangxi Key Laboratory of Health Care Food Science and Technology Hezhou University Hezhou Guangxi China.
Yanghe LuoGuangxi Key Laboratory of Health Care Food Science and Technology Hezhou University Hezhou Guangxi China.
Hui NieGuangxi Key Laboratory of Health Care Food Science and Technology Hezhou University Hezhou Guangxi China.ORCID https://orcid.org/0000-0002-6501-7925

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Chinese water chestnut (CWC) is among the most widespread and economically important vegetables in Southern China. There are two different types of cultivars for this vegetable, namely, big CWC (BCWC) and small CWC (SCWC). These are used for different purposes based on their metabolic profiles. This study aimed to investigate the metabolite profile of CWC and compare the profiles of peels collected in different harvest years using ultraperformance liquid chromatography/mass spectrometry (UPLC-MS)-based metabolomics analysis. Three hundred and twenty-one metabolites were identified, of which 87 flavonoids, 25 phenylpropanoids, and 33 organic acids and derivatives were significantly different in the content of the two varieties of BCWC and SCWC. The metabolite profiles of the two different cultivars were distinguished using principle component analysis (PCA) and orthogonal projections to latent structures discriminant analysis, and the results indicated differences in the metabolite profile of

Indexed as

Chinese water chestnutmetabolite profilespeelsUPLC‐MS

Identifiers

PMID36655076
PMCPMC9834879

What OpenQuestion holds

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Registered trials

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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.