LC-MS-based metabolomics reveals metabolite dynamic changes of beef after superchilling early post-mortem

代谢组学 温柔 化学 代谢物 羟脯氨酸 肉牛 代谢组 精氨酸 食品科学 肉的嫩度 脯氨酸 动物科学 生物化学 生物 色谱法 氨基酸
作者
Xue Chen,Yanwei Mao,Rongrong Liang,Lixian Zhu,Xiaoyin Yang,David Hopkins,Yimin Zhang
出处
期刊:Food Research International [Elsevier BV]
卷期号:183: 114208-114208 被引量:9
标识
DOI:10.1016/j.foodres.2024.114208
摘要

To explore the underlying mechanisms by which superchilling (SC, −3 °C within 5 h of slaughter) improves beef tenderness, an untargeted metabolomics strategy was employed. M. Longissimus lumborum (LL) muscles from twelve beef carcasses were assigned to either SC or very fast chilling (VFC, 0 °C within 5 h of slaughter) treatments, with conventional chilling (CC, 0 ∼ 4 °C until 24 h post-mortem) serving as the control (6 per group). Biochemical properties and metabolites were investigated during the early post-mortem period. The results showed that the degradation of μ-calpain and caspase 3 occurred earlier in SC treated sample, which might be attributed to the accelerated accumulation of free Ca2+. The metabolomic profiles of samples from the SC and CC treatments were clearly distinguished based on partial least squares-discriminant analysis (PLS-DA) at each time point. It is noteworthy that more IMP and 4-hydroxyproline were found in the comparison between SC and CC treatments. According to the results of metabolic pathways analysis and the correlation analysis between traits related to tenderness and metabolites with significant differences (SC vs. CC), it can be suggested that the tenderization effect of the SC treatment may be related to the alteration of arginine and proline metabolism, and purine metabolism in the early post-mortem phase.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
缄默完成签到,获得积分10
1秒前
完美世界应助残荷听雨采纳,获得10
1秒前
hnlgdx发布了新的文献求助10
1秒前
2秒前
CodeCraft应助曾经乌采纳,获得10
3秒前
Shaun发布了新的文献求助10
3秒前
khh发布了新的文献求助10
4秒前
llls发布了新的文献求助10
4秒前
沉静丹寒发布了新的文献求助10
5秒前
zhangpeng完成签到,获得积分10
5秒前
长情奇异果完成签到,获得积分10
5秒前
Ashley发布了新的文献求助10
5秒前
艾的阳阳完成签到,获得积分20
7秒前
7秒前
WWW应助凤凰山采纳,获得10
7秒前
充电宝应助yjp790403采纳,获得10
8秒前
喽喽完成签到,获得积分10
9秒前
Y888888应助Gaobabanewbi采纳,获得20
9秒前
10秒前
tangsizhe发布了新的文献求助10
10秒前
酒酒完成签到 ,获得积分10
11秒前
CodeCraft应助舒适绮玉采纳,获得10
15秒前
张怡发布了新的文献求助10
15秒前
充电宝应助liuliu采纳,获得10
15秒前
lobster应助韦幻莲采纳,获得10
17秒前
木木木完成签到,获得积分10
18秒前
鑫仔完成签到,获得积分10
18秒前
在水一方应助CX330采纳,获得10
19秒前
qianlifan完成签到,获得积分10
19秒前
hnlgdx完成签到,获得积分20
19秒前
Owen应助顺利代曼采纳,获得10
20秒前
幸运幸福完成签到,获得积分10
20秒前
21秒前
X悦完成签到,获得积分10
21秒前
猪猪发布了新的文献求助10
21秒前
泾回道关注了科研通微信公众号
22秒前
biomass完成签到,获得积分10
22秒前
23秒前
23秒前
vampv应助沉静丹寒采纳,获得10
24秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7611423
求助须知:如何正确求助?哪些是违规求助? 9187124
关于积分的说明 19681714
捐赠科研通 7185323
什么是DOI,文献DOI怎么找? 3270551
关于科研通互助平台的介绍 2434153
邀请新用户注册赠送积分活动 2265361