Evidence map›Paper›PMID 37645629›Full record

ArticleFrontiers in nutrition2023

Comparison analysis of full-spectrum metabolomics revealed on the variation of potential metabolites of unscented,

Ping Tang, Jie-Qiong Wang, Yong-Feng Wang, Jian-Chang Jin, Xin Meng, Yan Zhu, Ying Gao, Yong-Quan Xu

Abstract read
In one paragraph

Article in Frontiers in 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

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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

2 citing papers in PubMed.

  1. 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

8 authors.

Ping TangHangzhou Vocational & Technical College, Hangzhou, China.
Jie-Qiong WangKey Laboratory of Biology, Genetics and Breeding of Special Economic Animals and Plants, Ministry of Agriculture and Rural Affairs, Tea Research Institute Chinese Academy of Agricultural Sciences, Hangzhou, China.
Yong-Feng WangJingdezhen Jin Gui Yuan Agricultural Development Co Ltd, Jingdezhen, China.
Jian-Chang JinCollege of Biological and Environmental Engneering, Zhejiang Shuren University, Hangzhou, China.
Xin MengCollege of Food and Health, Zhejiang A&F University, Hangzhou, China.
Yan ZhuCollege of Food and Health, Zhejiang A&F University, Hangzhou, China.
Ying GaoKey Laboratory of Biology, Genetics and Breeding of Special Economic Animals and Plants, Ministry of Agriculture and Rural Affairs, Tea Research Institute Chinese Academy of Agricultural Sciences, Hangzhou, China.
Yong-Quan XuKey Laboratory of Biology, Genetics and Breeding of Special Economic Animals and Plants, Ministry of Agriculture and Rural Affairs, Tea Research Institute Chinese Academy of Agricultural Sciences, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In recent years, scented black tea has attracted much attention due to its pleasant floral aroma and mellow flavor, but little research has been carried out on its flavor metabolic profile. Methods: In this study, the flavor metabolic profiles of unscented, Results and Discussion: The results revealed that a total of 3,128 metabolites were detected in the three teas. Based on the criteria of variable importance in the project >1 and fold change ≥2 or ≤  0.5, 761 non-volatile metabolites and 509 volatile metabolites were filtered as differential metabolites. Many differential non-volatile metabolites belonged to flavonoids, phenolic acids, and terpenoids. Floral, fruity and herbaceous volatile metabolites were significantly up-regulated in

Indexed as

Chloranthus spicatusnon-volatile metabolitesOsmanthus fragrans (Thunb.) Lour.scented black teasvolatile metabolites

Identifiers

PMID37645629
PMCPMC10461629

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