亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Using untargeted metabolomics and GC-IMS to analysis the influence of fat distribution on the flavor formation of bacon

风味 化学 食品科学 代谢组学 分布(数学) 色谱法 数学 数学分析
作者
Yufei Yang,Pan Li,Jia Cheng,Wu Guofei,Hongqiang Ren,Ling Wang,Lu Hongzhao,Wenxian Zeng,Tao Zhang
出处
期刊:Food bioscience [Elsevier]
卷期号:59: 103986-103986 被引量:4
标识
DOI:10.1016/j.fbio.2024.103986
摘要

Zhenba bacon is a traditional dry-cured product with rich nutritive values. The fat oxidation is the main way to produce flavor substances and is often closely related to fat distribution in bacon production. The purpose of this study was to reveal the reason of the influence of fat distribution (pork belly and rump meat) on the flavor substances of Zhenba bacon. Processing samples from pork belly (LRW) and pork rump (LRT) at different smoking periods (8, 24 and 40-day) were analyzed by untargeted metabolomics and gas chromatography-ion mobility spectrometry (GC-IMS), and correlations between differential metabolites and key volatile flavor compounds were assessed. The GC–IMS results revealed that the content of 1-butanol, 1-pentanol, benzaldehyde, and furfural was the highest in LRW sample, the content of 3-methyl-3-buten-1-ol, 1-penten-3-ol, linear aldehyde and acetic acid ethyl ester was the highest in LRT sample. Metabolites analysis identified that the metabolites with significant differences were mainly lipid substances, organic acids and derivatives. KEGG pathway enrichment showed that the differential metabolites were related to the metabolism of various types of amino acids. The results could provide data support and theoretical reference for improving the processing technology of Zhenba bacon.

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
1秒前
Shrine发布了新的文献求助10
9秒前
啦啦啦发布了新的文献求助10
12秒前
24秒前
顾卿莀发布了新的文献求助30
29秒前
30秒前
纯真听寒完成签到 ,获得积分10
34秒前
小兔子乖乖完成签到 ,获得积分10
41秒前
汉堡包应助schaffner采纳,获得10
51秒前
53秒前
顾卿莀完成签到,获得积分20
56秒前
57秒前
彭于晏应助马上毕业采纳,获得10
58秒前
Tjh发布了新的文献求助10
58秒前
1分钟前
1分钟前
Lily完成签到,获得积分10
1分钟前
fabius0351完成签到,获得积分10
1分钟前
副反应发布了新的文献求助10
1分钟前
1分钟前
Tjh完成签到,获得积分10
1分钟前
马上毕业发布了新的文献求助10
1分钟前
Wone3完成签到 ,获得积分10
1分钟前
低调000完成签到,获得积分10
1分钟前
无极微光应助白华苍松采纳,获得20
1分钟前
慕青应助claire采纳,获得10
1分钟前
1分钟前
落沧完成签到 ,获得积分10
1分钟前
dd完成签到,获得积分10
1分钟前
1分钟前
无极微光应助科研通管家采纳,获得20
1分钟前
CipherSage应助科研通管家采纳,获得10
1分钟前
1分钟前
1分钟前
zkkz完成签到,获得积分10
1分钟前
隐形曼青应助鲨鱼采纳,获得10
1分钟前
dd发布了新的文献求助10
2分钟前
2分钟前
鲨鱼完成签到,获得积分10
2分钟前
2分钟前
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
Kinesiophobia : a new view of chronic pain behavior 3000
Les Mantodea de guyane 2500
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Brittle Fracture in Welded Ships 500
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5942509
求助须知:如何正确求助?哪些是违规求助? 7072291
关于积分的说明 15888720
捐赠科研通 5073178
什么是DOI,文献DOI怎么找? 2728900
邀请新用户注册赠送积分活动 1687664
关于科研通互助平台的介绍 1613513