Evidence map›Paper›PMID 33139648›Full record

ArticleMolecules (Basel, Switzerland)2020

Assessing the Impact of Oil Types and Grades on Tocopherol and Tocotrienol Contents in Vegetable Oils with Chemometric Methods.

Yunqi Wen, Lili Xu, Changhu Xue, Xiaoming Jiang, Zihao Wei

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 41 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Yunqi WenCollege of Food Science and Engineering, Ocean University of China, Qingdao 266003, China.
Lili XuCollege of Food Science and Engineering, Ocean University of China, Qingdao 266003, China.
Changhu XueCollege of Food Science and Engineering, Ocean University of China, Qingdao 266003, China.
Xiaoming JiangCollege of Food Science and Engineering, Ocean University of China, Qingdao 266003, China.ORCID 0000-0002-1444-6121
Zihao WeiCollege of Food Science and Engineering, Ocean University of China, Qingdao 266003, China.ORCID 0000-0002-1942-7907
Ocean University of China · CN

Funding

the National Key R&D Program of China 2018YFC0311206
6 · The paper itself

Abstract

The consumption of vegetable oil is an important way for the body to obtain tocols. However, the impact of oil types and grades on the tocopherol and tocotrienol contents in vegetable oils is unclear. In this study, nine types of traditional edible oils and ten types of self-produced new types of vegetable oil were used to analyze eight kinds of tocols. The results showed that the oil types exerted a great impact on the tocol content of traditional edible oils. Soybean oils, corn oils, and rapeseed oils all could be well distinguished from sunflower oils. Both sunflower oils and cotton seed oils showed major differences from camellia oils as well as sesame oils. Among them, rice bran oils contained the most abundant types of tocols. New types of oil, especially sacha inchi oil, have provided a new approach to obtaining oils with a high tocol content. Oil refinement leads to the loss of tocols in vegetable oil, and the degree of oil refinement determines the oil grade. However, the oil grade could not imply the final tocol content in oil from market. This study could be beneficial for the oil industry and dietary nutrition.

Indexed as

Plant OilsTocopherolsTocotrienolsPlant OilsTocopherolsTocotrienolschemometricoil gradesoil typestocopherolstocotrienolsvegetable oils

Identifiers

PMID33139648
PMCPMC7662938
OpenAlexW3096319490

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.