Evidence map›Paper›PMID 39246396›Full record

ArticleFrontiers in nutrition2024

Profiling of phenolic composition in camellia oil and its correlative antioxidant properties analysis.

Jiarong She, Qingyang Li, Maokai Cui, Qiong Zheng, Jie Yang, Tiantian Chen, Danyu Shen, Shaofeng Peng, Chi Li, Yihua Liu

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

10 authors.

Jiarong She *Hunan Academy of Forestry, Changsha, China.
Qingyang Li *Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Fuyang, China.
Maokai CuiResearch Institute of Subtropical Forestry, Chinese Academy of Forestry, Fuyang, China.
Qiong ZhengHunan Academy of Forestry, Changsha, China.
Jie YangHunan Academy of Forestry, Changsha, China.
Tiantian ChenHunan Academy of Forestry, Changsha, China.
Danyu ShenResearch Institute of Subtropical Forestry, Chinese Academy of Forestry, Fuyang, China.
Shaofeng PengHunan Academy of Forestry, Changsha, China.
Chi LiHunan Shennongguo Oil Eco-Agriculture Development Co., Ltd., Leiyang, China.
Yihua LiuResearch Institute of Subtropical Forestry, Chinese Academy of Forestry, Fuyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Less research has been conducted on the association between camellia oil's (CO) phenolic composition and antioxidant capability. In this study, the phenolic profile of CO and its connection to antioxidant capacity were examined utilizing a combination of widely-targeted phenolic metabolomics and multivariate statistical analysis. A total of 751 phenolics were discovered. The WGCNA was used to link phenols to antioxidants, yielding 161 antioxidant-related phenols from the blue module. In response to several antioxidant assays, 59 (FRAP), 59 (DPPH), and 53 (ABTS) phenolics were identified as differential phenolic markers (DPMs). Further stepwise multiple linear regression revealed six DPMs that substantially influenced the antioxidant capacities. Nine metabolic pathways and their associated network mechanisms for the most significant phenolics were developed. This study sheds light on the phenolic content of CO, elucidates their role in antioxidant activity, and lays the groundwork for improving extraction techniques and generating improved product.

Indexed as

antioxidantcamellia oilOPLS-DAphenolicTPCWGCNA

Identifiers

PMID39246396
PMCPMC11378838

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.