LC-MS/MS-based metabolomics coupled with machine learning for screening candidate biomarkers in bacon.

Xinyi Huang, Yingmin Tian, Yufei Yang, Miaohua Zheng, Ling Wang, Shanshan Wang, Tao Zhang, Hongzhao Lu

Abstract read

In one paragraph

Article in Food chemistry: X, 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.

Machine learning-based prediction and quality control of meat and meat products: applications for intelligent quality management in the meat industry.Food science of animal resources · 2026
Review
Use of Machine Learning Techniques for Fertilization Traceability Discrimination via Core Quality Indicators of Korla Fragrant Pear Fruits.Foods (Basel, Switzerland) · 2026
Article

4 · The record

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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

8 authors.

Xinyi HuangSchool of Biological Science and Engineering, Shaanxi University of Technology, 723001 Hanzhong, China.

Yingmin TianSchool of Biological Science and Engineering, Shaanxi University of Technology, 723001 Hanzhong, China.

Yufei YangSchool of Biological Science and Engineering, Shaanxi University of Technology, 723001 Hanzhong, China.

Miaohua ZhengSchool of Biological Science and Engineering, Shaanxi University of Technology, 723001 Hanzhong, China.

Ling WangSchool of Biological Science and Engineering, Shaanxi University of Technology, 723001 Hanzhong, China.

Shanshan WangSchool of Biological Science and Engineering, Shaanxi University of Technology, 723001 Hanzhong, China.

Tao ZhangSchool of Biological Science and Engineering, Shaanxi University of Technology, 723001 Hanzhong, China.

Hongzhao LuSchool of Biological Science and Engineering, Shaanxi University of Technology, 723001 Hanzhong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To overcome the subjectivity of traditional bacon authentication, this study developed an objective discrimination framework integrating LC-MS/MS-based metabolomics with machine learning. Metabolomic profiling of bacon samples from pork belly (LRW) and pork rump (LRT) identified 100 differential metabolites common to both groups. The Kruskal-Wallis H test (

Indexed as

6-Hydroxyoctanoylcarnitine (PubChem CID: 156962709)BaconCandidate biomarkersDimensionality reductionDimethylethanolamine (PubChem CID: 7902)Ethyl hydrogen fumarate (PubChem CID: 5358902)LC–MS/MSMachine learningXanthine (PubChem CID: 1188)

Identifiers

PMID41674696

DOI10.1016/j.fochx.2026.103620

PMCPMC12887885

What Socratic holds

Textmetadata

LicenceCC BY-NC-ND

Read underepoch 390

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 Socratic graph.