Evidence map›Paper›PMID 40872529›Full record

ReviewPharmaceuticals (Basel, Switzerland)2025

Analytical Strategies for Tocopherols in Vegetable Oils: Advances in Extraction and Detection.

Yingfei Liu, Mengyuan Lv, Yuyang Wang, Jinchao Wei, Di Chen

Abstract readReview
In one paragraph

Review in Pharmaceuticals (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
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.

Yingfei LiuZhengzhou Research Base, National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China.
Mengyuan LvZhengzhou Research Base, National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China.
Yuyang WangZhengzhou Research Base, National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China.
Jinchao WeiMacau Centre for Research and Development in Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR 999078, China.
Di ChenZhengzhou Research Base, National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0002-1303-8038

Funding

National Key Laboratory of Cotton Bio-breeding and Integrated Utilization Independent Fund CBIU2024008
6 · The paper itself

Abstract

Tocopherols, major lipid-soluble components of vitamin E, are essential natural products with significant nutritional and pharmacological value. Their structural diversity and uneven distribution across vegetable oils require accurate analytical strategies for compositional profiling, quality control, and authenticity verification, amid concerns over food fraud and regulatory demands. Analytical challenges, such as matrix effects in complex oils and the cost trade-offs of green extraction methods, complicate these processes. This review examines recent advances in tocopherol analysis, focusing on extraction and detection techniques. Green methods like supercritical fluid extraction and deep eutectic solvents offer selectivity and sustainability, though they are costlier than traditional approaches. On the analytical side, hyphenated techniques such as supercritical fluid chromatography-mass spectrometry (SFC-MS) achieve detection limits as low as 0.05 ng/mL, improving sensitivity in complex matrices. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) provides robust analysis, while spectroscopic and electrochemical sensors offer rapid, cost-effective alternatives for high-throughput screening. The integration of chemometric tools and miniaturized systems supports scalable workflows. Looking ahead, the incorporation of Artificial Intelligence (AI) in oil authentication has the potential to enhance the accuracy and efficiency of future analyses. These innovations could improve our understanding of tocopherol compositions in vegetable oils, supporting more reliable assessments of nutritional value and product authenticity.

Indexed as

analytical methodsextraction techniquestocopherolsvegetable oilsvitamin E

Identifiers

PMID40872529
PMCPMC12389460

What OpenQuestion holds

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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.