Evidence map›Paper›PMID 35719162›Full record

ReviewFrontiers in nutrition2022

Advanced Lipidomics in the Modern Meat Industry: Quality Traceability, Processing Requirement, and Health Concerns.

Chengliang Li, Burcu Ozturk-Kerimoglu, Lichao He, Min Zhang, Jiajing Pan, Yuanyi Liu, Yan Zhang, Shanfeng Huang, Yue Wu, Guofeng Jin

Abstract readReview
In one paragraph

Review in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Lipidomic Insight into Eggs and Meat of Quail (Molecules (Basel, Switzerland) · 2026
    Article
  4. Review
  5. Review
  6. NADFrontiers in veterinary science · 2025
    Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. 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

10 authors.

Chengliang LiSchool of Food and Health, Beijing Technology and Business University, Beijing, China.
Burcu Ozturk-KerimogluEge University, Engineering Faculty, Food Engineering Department, İzmir, Turkey.
Lichao HeSchool of Food and Health, Beijing Technology and Business University, Beijing, China.
Min ZhangSchool of Food and Health, Beijing Technology and Business University, Beijing, China.
Jiajing PanSchool of Food and Health, Beijing Technology and Business University, Beijing, China.
Yuanyi LiuSchool of Food and Health, Beijing Technology and Business University, Beijing, China.
Yan ZhangSchool of Food and Health, Beijing Technology and Business University, Beijing, China.
Shanfeng HuangSchool of Biology and Food Engineering, Chuzhou University, Chuzhou, China.
Yue WuSonochemistry Group, School of Chemistry, The University of Melbourne, Parkville, VIC, Australia.
Guofeng JinSchool of Food and Health, Beijing Technology and Business University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the latest decade, lipidomics has been extensively developed to give robust strength to the qualitative and quantitative information of lipid molecules derived from physiological animal tissues and edible muscle foods. The main lipidomics analytical platforms include mass spectrometry (MS) and nuclear magnetic resonance (NMR), where MS-based approaches [e.g., "shotgun lipidomics," ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS), matrix-assisted laser desorption and ionization time-of-flight mass spectrometry (MALDI-TOF-MS)] have been widely used due to their good sensitivity, high availability, and accuracy in identification/quantification of basal lipid profiles in complex biological point of view. However, each method has limitations for lipid-species [e.g., fatty acids, triglycerides (TGs), and phospholipids (PLs)] analysis, and necessitating the extension of effective chemometric-resolved modeling and novel bioinformatic strategies toward molecular insights into alterations in the metabolic pathway. This review summarized the latest research advances regarding the application of advanced lipidomics in muscle origin and meat processing. We concisely highlighted and presented how the biosynthesis and decomposition of muscle-derived lipid molecules can be tailored by intrinsic characteristics during meat production (i.e., muscle type, breed, feeding, and freshness). Meanwhile, the consequences of some crucial hurdle techniques from both thermal/non-thermal perspectives were also discussed, as well as the role of salting/fermentation behaviors in

Indexed as

biosynthesislipid biomarkerslipolysismass spectrometrymeat lipidomicsmeat processingnuclear magnetic resonancenutritional value

Identifiers

PMID35719162
PMCPMC9198649

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.