Evidence map›Paper›PMID 35323685›Full record

ArticleMetabolites2022

Metabolites Analysis on Water-Holding Capacity in Beef

Huixin Zuo, Pengsen Wang, Zonglin Guo, Xin Luo, Yimin Zhang, Yanwei Mao

Abstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

6 authors.

Huixin ZuoLaboratory of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.
Pengsen WangLaboratory of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.
Zonglin GuoCollege of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China.
Xin LuoLaboratory of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.
Yimin ZhangLaboratory of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.
Yanwei MaoLaboratory of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.

Funding

National Natural Science Foundation of China No. 31801610; No. 31972006
6 · The paper itself

Abstract

Currently, the metabolomic research on water-holding capacity (WHC) of beef during postmortem aging is still insufficient. In this paper, the kit method was adopted for energy metabolites testing, the ultra-high-performance liquid chromatography (UHPLC) system was used for sample separation, and the mass spectrometer was applied to collect the primary and secondary spectra of the samples. The results showed that lactic acid reached saturation at day 2 postmortem, while energy metabolites changed significantly within day 2 postmortem (p < 0.05). Based on these findings, it was suggested that the energy metabolism qualities of the beef had already achieved a largely stable state at around day 2 postmortem. Then, through metabolomic analysis, 25 compounds were differentially abundant at days 0, 0.5, 1, and 2 during postmortem aging. Within the period of day 0−2 postmortem, the purine metabolism in beef was relatively active until 0.5 d postmortem, while glycolysis metabolism remained active until day 2 postmortem. The functions of the identified metabolites contribute to a more detailed molecular view of the processes behind WHC and are a valuable resource for future investigations into the flavor of postmortem beef.

Indexed as

agingbeefflavormetabolomewater-holding capacity

Identifiers

PMID35323685
PMCPMC8950885

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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.