Evidence map›Paper›PMID 36010436›Full record

ReviewFoods (Basel, Switzerland)2022

A Review of Advanced Methods for the Quantitative Analysis of Single Component Oil in Edible Oil Blends.

Xihui Bian, Yao Wang, Shuaishuai Wang, Joel B Johnson, Hao Sun, Yugao Guo, Xiaoyao Tan

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2022. 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. Article
  2. 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

7 authors.

Xihui BianSchool of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China.ORCID 0000-0001-5554-7159
Yao WangSchool of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China.
Shuaishuai WangShandong Provincial Key Laboratory of Olefin Catalysis and Polymerization, Shandong Chambroad Holding Group Co., Ltd., Binzhou 256500, China.
Joel B JohnsonSchool of Health, Medical & Applied Sciences, Central Queensland University, Bruce Hwy, North Rockhampton, QLD 4701, Australia.ORCID 0000-0002-9172-8587
Hao SunSchool of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China.
Yugao GuoSchool of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China.
Xiaoyao TanSchool of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China.

Funding

China Scholarship Council No. 201808120028Tianjin Science and Technology Program No. 21ZYJDJC00100
6 · The paper itself

Abstract

Edible oil blends are composed of two or more edible oils in varying proportions, which can ensure nutritional balance compared to oils comprising a single component oil. In view of their economical and nutritional benefits, quantitative analysis of the component oils in edible oil blends is necessary to ensure the rights and interests of consumers and maintain fairness in the edible oil market. Chemometrics combined with modern analytical instruments has become a main analytical technology for the quantitative analysis of edible oil blends. This review summarizes the different oil blend design methods, instrumental techniques and chemometric methods for conducting single component oil quantification in edible oil blends. The aim is to classify and compare the existing analytical techniques to highlight suitable and promising determination methods in this field.

Indexed as

chemometricsedible oil blendsinstrumentsquantitative analysissample design

Identifiers

PMID36010436
PMCPMC9407567

What OpenQuestion holds

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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.