Evidence map›Paper›PMID 40747485›Full record

ArticleFood chemistry: X2025

Untargeted lipidomics profiling for halal authentication of meatball products from mixed meat sources.

Putri Widyanti Harlina, Asad Nawaz, Raheel Shahzad, Na'Ilah Nur Amalina, Fang Geng, Mohamad Rafi, Vevi Maritha, Aldila Din Pangawikan, Souvia Rahimah, Mohammad Rizwan Khan and 2 more

Abstract read
In one paragraph

Article in Food chemistry: X, 2025. 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

12 authors.

Putri Widyanti HarlinaDepartment of Food Industrial Technology, Faculty of Agro-Industrial Technology, Universitas Padjadjaran, 45363 Bandung, Indonesia.
Asad NawazHunan Engineering Technology Research Center for Comprehensive Development and Utilization of Biomass Resources, College of Chemistry and Bioengineering, Hunan University of Science and Engineering, 425199 Yongzhou, China.
Raheel ShahzadResearch Center for Genetic Engineering, National Research and Innovation Agency (BRIN), KST-Cibinong, JI Raya Bogor KM 46, Cibinong 16911, Indonesia.
Na'Ilah Nur AmalinaDepartment of Food Industrial Technology, Faculty of Agro-Industrial Technology, Universitas Padjadjaran, 45363 Bandung, Indonesia.
Fang GengMeat Processing Key Laboratory of Sichuan Province, School of Food and Biological Engineering, Chengdu University, Chengdu 610106, China.
Mohamad RafiDepartment of Chemistry, Faculty of Mathematics and Natural Sciences, IPB University, Jalan Tanjung Kampus IPB Dramaga, Bogor 16680, Indonesia.
Vevi MarithaPharmacy Study Program, Faculty of Health and Science, Universitas PGRI, Madiun, Indonesia.
Aldila Din PangawikanDepartment of Food Industrial Technology, Faculty of Agro-Industrial Technology, Universitas Padjadjaran, 45363 Bandung, Indonesia.
Souvia RahimahDepartment of Food Industrial Technology, Faculty of Agro-Industrial Technology, Universitas Padjadjaran, 45363 Bandung, Indonesia.
Mohammad Rizwan KhanDepartment of Chemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia.
Widya Siva GramitaDepartment of Food Industrial Technology, Faculty of Agro-Industrial Technology, Universitas Padjadjaran, 45363 Bandung, Indonesia.
Adelia Salsabila NurhasyaDepartment of Food Industrial Technology, Faculty of Agro-Industrial Technology, Universitas Padjadjaran, 45363 Bandung, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food adulteration with non-halal components, particularly in thermally processed meat products like meatballs, presents significant challenges for conventional DNA and protein-based detection methods. This study applies untargeted lipidomics using ultra-high-performance liquid chromatography-high-resolution mass spectrometry (UHPLC-HRMS) combined with multivariate analysis (principal component analysis [PCA] and partial least squares-discriminant analysis [PLS-DA]) to authenticate halal status in meatball products. Lipid profiles were obtained from beef, goat, pork, and their mixtures, and analyzed under both electrospray ionization in positive mode (ESI+) and electrospray ionization in negative mode (ESI-) modes. Glycerophospholipids emerged as dominant lipid species. PCA and PLS-DA revealed clear separations between halal and non-halal samples, with high model performance (R

Indexed as

ChemometricHalal authenticationLipidomicMeatball

Identifiers

PMID40747485
PMCPMC12311581

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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.