Evidence map›Paper›PMID 41897823›Full record

ReviewFoods (Basel, Switzerland)2026

Phytosterol Profiling as a Tool for Edible Oil Authentication: Challenges and Prospects.

Kaili Cheng, Tong Zhou, Wei Wang, Jiuliang Zhang, Xiaoting Zhou, Bing Hu, Tao Zhang

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2026. 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. Review
  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.

Kaili ChengCollege of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Tong ZhouCollege of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Wei WangKey Laboratory of Edible Oil Quality and Safety, State Administration for Market Regulation, Wuhan 430012, China.
Jiuliang ZhangCollege of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.ORCID 0000-0002-1745-846X
Xiaoting ZhouKey Laboratory of Edible Oil Quality and Safety, State Administration for Market Regulation, Wuhan 430012, China.
Bing HuKey Laboratory of Edible Oil Quality and Safety, State Administration for Market Regulation, Wuhan 430012, China.
Tao ZhangCollege of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.ORCID 0000-0001-8653-5089

Funding

The Food Engineering Technology Research Center/Key Laboratory of Henan Province, Henan University of Technology GO202506The National Natural Science Foundation of China 32402082The Open Research Fund of the Key Laboratory of Edible Oil Quality and Safety, State Administration for Market Regulation SYYKF2024-03
6 · The paper itself

Abstract

The global edible oil market is consistently at risk of economically motivated adulteration, underscoring the necessity of robust analytical methods essential for authentication. Among various phytochemicals, phytosterols have emerged as powerful diagnostic markers and compositional indicators for verifying the botanical origin, purity, and quality of edible oils. This review summarizes recent advancements in phytosterol analysis, highlighting its application in detecting adulteration in high-value oils such as olive oil, tea seed oil, and sesame oil. We discuss the approaches of multiple chromatographic and mass spectrometry techniques (GC-MS, LC-MS) with chemometric analysis of novel markers like fatty acyl sterol esters and sterol degradation products. Furthermore, we discuss significant challenges, including the need for comprehensive databases, the identification of complex sterol compositional profiles, and the limitations of current standardized methods. The advancement of phytosterol-based authentication increasingly depends on the development of rapid, high-throughput, and non-targeted sterol profiling approaches, supported by artificial intelligence and bioinformatics, to ensure vegetable oil authenticity and safeguard market integrity.

Indexed as

adulterationchemometricsedible oilsphytosterolssterol profiling

Identifiers

PMID41897823
PMCPMC13025166

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.