Evidence map›Paper›PMID 39170539›Full record

ReviewHeliyon2024

Advances in detection technology for authentication of vegetable oils: A comprehensive review.

Shivangi Srivastava, Vinay Kumar Pandey, Kunal Singh, Aamir Hussain Dar, Kshirod Kumar Dash, Rafeeya Shams, Ayaz Mukarram Shaikh, Béla Kovács

Erratum issuedAbstract readReview
In one paragraph

Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Shivangi SrivastavaDepartment of Food Technology, Harcourt Butler Technical University, Nawabganj, Kanpur, Uttar Pradesh, India.
Vinay Kumar PandeyResearch & Development Cell, Biotechnology Department, Manav Rachna International Institute of Research and Studies (Deemed to Be University), Faridabad, 121004, Haryana, India.
Kunal SinghInstitute of Bioscience and Technology, Shri Ramswaroop Memorial University, Lucknow Deva Road Barabanki, Uttar Pradesh, India.
Aamir Hussain DarDepartment of Food Technology, Islamic University of Science and Technology, Kashmir, India.
Kshirod Kumar DashDepartment of Food Processing Technology, Ghani Khan Choudhury Institute of Engineering and Technology, Malda, West Bengal, India.
Rafeeya ShamsDepartment of Food Technology and Nutrition, Lovely Professional University, Phagwara, Punjab, India.
Ayaz Mukarram ShaikhFaculty of Agriculture, Food Science and Environmental Management Institute of Food Science, University of Debrecen, Debrecen, 4032, Hungary.
Béla KovácsFaculty of Agriculture, Food Science and Environmental Management Institute of Food Science, University of Debrecen, Debrecen, 4032, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomarkers are specific indicators that can be used to authenticate vegetable oils by reflecting unique characteristics such as variety or geographical origin. Biomarkers can originate from the primary components of the vegetable oil itself or from contaminants and trace substances linked to processing methods or adulterants. The review highlights the key findings in the identification of novel biomarkers for vegetable oil authentication. Various analytical techniques have proven effective in distinguishing unique biomarkers associated with specific vegetable oil varieties or geographical origins. The use of biomarkers of vegetable oils and associated contaminants or trace substances offers a comprehensive approach to authentication. However, the identification of novel biomarkers holds immense potential for enhancing food safety, preventing fraud, and safeguarding consumer health in the vegetable oil industry. The ongoing research and advancements in biomarker identification represent a promising avenue for addressing authenticity concerns in vegetable oils.

Indexed as

Analytical techniquesChromatographyDNA-based methodsMass spectrometryOrigin determination

Identifiers

PMID39170539
PMCPMC11336277

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.