Evidence map›Paper›PMID 41497706›Full record

ArticleFood chemistry: X2025

Changes in quality characteristics of yellowfin tuna (

Hui Yu, Zhou Zhao, Jiaqi Wu, Lilan You, Changwen Huang, Zhiqiang Guo, Juan Xiao, Zhiyuan Lu

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Hui YuHainan Engineering Research Center of Aquatic Resources Efficient Utilization in South China Sea, Key Laboratory of Seafood Processing of Haikou, School of Food Science and Engineering, Hainan University, Haikou 570228, China.
Zhou ZhaoHainan Engineering Research Center of Aquatic Resources Efficient Utilization in South China Sea, Key Laboratory of Seafood Processing of Haikou, School of Food Science and Engineering, Hainan University, Haikou 570228, China.
Jiaqi WuHainan Engineering Research Center of Aquatic Resources Efficient Utilization in South China Sea, Key Laboratory of Seafood Processing of Haikou, School of Food Science and Engineering, Hainan University, Haikou 570228, China.
Lilan YouHainan Engineering Research Center of Aquatic Resources Efficient Utilization in South China Sea, Key Laboratory of Seafood Processing of Haikou, School of Food Science and Engineering, Hainan University, Haikou 570228, China.
Changwen HuangHainan Engineering Research Center of Aquatic Resources Efficient Utilization in South China Sea, Key Laboratory of Seafood Processing of Haikou, School of Food Science and Engineering, Hainan University, Haikou 570228, China.
Zhiqiang GuoSchool of Marine Science and Engineering, Hainan University, Haikou 570228, China.
Juan XiaoHainan Engineering Research Center of Aquatic Resources Efficient Utilization in South China Sea, Key Laboratory of Seafood Processing of Haikou, School of Food Science and Engineering, Hainan University, Haikou 570228, China.
Zhiyuan LuSchool of Marine Biology and Fisheries, Hainan University, Haikou 570228, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a marine high-fat fish, yellowfin tuna is prone to quality deterioration during storage. In this study, dynamic changes in quality indicators and lipid profiles of yellowfin tuna fillets during cold storage at 4 °C, as well as their correlations, were investigated. Results showed a gradual deterioration of fillet quality with time, as evidenced by darkening color, softening texture, increased centrifugation loss, elevated K value, heightened microorganisms, reduced sensory score, and severe protein and lipid oxidation. Through LC-MS/MS-based lipidomics analyses, 665 lipid species from 29 subclasses were detected in fillets, with significant differences observed in the lipid profiles between fillets stored for varying storage times. Moreover, a total of 16 key differentially abundant lipids (DALs) were identified as potential lipid biomarkers of freshness. Correlation analysis further revealed a strong relationship between these DALs and quality characteristics. Overall, this work will offer valuable insights for the efficient storage of yellowfin tuna fillets.

Indexed as

Cold storageLipid changesLipidomicsQualityYellowfin tuna

Identifiers

PMID41497706
PMCPMC12766081

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.