• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于气相色谱-质谱联用代谢组学的手工(机械化)酿造中国黄酒发酵后阶段代谢物比较

Metabolites comparison in post-fermentation stage of manual (mechanized) Chinese Huangjiu (yellow rice wine) based on GC-MS metabolomics.

作者信息

Peng Qi, Meng Kai, Zheng Huajun, Yu Hefeng, Zhang Yuhao, Yang Xinyi, Lin Zichen, Xie Guangfa

机构信息

National Engineering Research Center for Chinese Huangjiu (branch center), Shaoxing University, Shaoxing 312000, Zhejiang, China.

Laboratory of Pollution Exposure and Health Intervention of Zhejiang Province, College of Biology and Environmental Engineering, Zhejiang Shuren University, Hangzhou, 310015, China.

出版信息

Food Chem X. 2022 May 6;14:100324. doi: 10.1016/j.fochx.2022.100324. eCollection 2022 Jun 30.

DOI:10.1016/j.fochx.2022.100324
PMID:35586029
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9108467/
Abstract

In order to understand the differences of metabolites and their key metabolic pathways between traditional manual and mechanized Huangjiu, gas chromatography-mass spectrometry (GC-MS) combined with non targeted metabolomics was used to track and monitor Huangjiu in the whole post-fermentation stage. The results showed that 25 metabolites and 14 metabolites were identified as differential metabolites in manual and mechanized Huangjiu, respectively (VIP > 1, P < 0.05); three metabolic pathways had significant effects on differential metabolites (-log (P) > 1, impact > 0.01). Compared with the two kinds of Huangjiu, 21 kinds of metabolites were identified as differential metabolites (VIP > 1, P < 0.05); four metabolic pathways had significant effects on differential metabolites (-log (P) > 1, impact > 0.01). This study is helpful to gain insight into the underlying mechanism of flavor formation during the post-fermentation process of Huangjiu and provide a theoretical basis for the industrial development.

摘要

为了解传统手工酿造和机械化酿造黄酒之间代谢物及其关键代谢途径的差异,采用气相色谱-质谱联用(GC-MS)结合非靶向代谢组学方法,对黄酒整个后发酵阶段进行跟踪监测。结果表明,手工酿造和机械化酿造黄酒中分别鉴定出25种和14种代谢物作为差异代谢物(VIP>1,P<0.05);三条代谢途径对差异代谢物有显著影响(-log(P)>1,影响>0.01)。两种黄酒相比,鉴定出21种代谢物作为差异代谢物(VIP>1,P<0.05);四条代谢途径对差异代谢物有显著影响(-log(P)>1,影响>0.01)。本研究有助于深入了解黄酒后发酵过程中风味形成的潜在机制,为产业发展提供理论依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0051/9108467/c184d833ad36/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0051/9108467/fe434bfee6d4/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0051/9108467/b6507bcdd39b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0051/9108467/6494dac59669/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0051/9108467/e4026c3e1e9c/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0051/9108467/b37bdd7ccfda/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0051/9108467/56f924f8ebe4/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0051/9108467/c184d833ad36/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0051/9108467/fe434bfee6d4/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0051/9108467/b6507bcdd39b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0051/9108467/6494dac59669/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0051/9108467/e4026c3e1e9c/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0051/9108467/b37bdd7ccfda/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0051/9108467/56f924f8ebe4/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0051/9108467/c184d833ad36/gr6.jpg

相似文献

1
Metabolites comparison in post-fermentation stage of manual (mechanized) Chinese Huangjiu (yellow rice wine) based on GC-MS metabolomics.基于气相色谱-质谱联用代谢组学的手工(机械化)酿造中国黄酒发酵后阶段代谢物比较
Food Chem X. 2022 May 6;14:100324. doi: 10.1016/j.fochx.2022.100324. eCollection 2022 Jun 30.
2
Integrative metagenomics, volatilomics and chemometrics for deciphering the microbial structure and core metabolic network during Chinese rice wine (Huangjiu) fermentation in different regions.基于整合宏基因组学、挥发组学和化学计量学分析揭示不同地域黄酒发酵过程中的微生物结构和核心代谢网络
Food Microbiol. 2024 Sep;122:104569. doi: 10.1016/j.fm.2024.104569. Epub 2024 May 27.
3
The microbiome of Chinese rice wine (Huangjiu).中国黄酒的微生物群落
Curr Res Food Sci. 2022 Jan 31;5:325-335. doi: 10.1016/j.crfs.2022.01.007. eCollection 2022.
4
A metagenomic analysis of the relationship between microorganisms and flavor development in Shaoxing mechanized huangjiu fermentation mashes.绍兴机械化黄酒发酵醪中微生物与风味形成关系的宏基因组学分析。
Int J Food Microbiol. 2019 Aug 16;303:9-18. doi: 10.1016/j.ijfoodmicro.2019.05.001. Epub 2019 May 2.
5
Dynamic analysis of volatile metabolites and microbial community and their correlations during the fermentation process of traditional (Chinese rice wine) produced around Winter Solstice.冬至前后酿造的传统(中国米酒)发酵过程中挥发性代谢产物和微生物群落的动态分析及其相关性
Food Chem X. 2023 Mar 4;18:100620. doi: 10.1016/j.fochx.2023.100620. eCollection 2023 Jun 30.
6
Unraveling the difference in flavor characteristics of fermented with different rice varieties using dynamic sensory evaluation and comprehensive two-dimensional gas chromatography-quadrupole mass spectrometry.运用动态感官评价和全二维气相色谱-四极杆质谱联用技术解析不同水稻品种发酵风味特征的差异。
Front Nutr. 2023 Jun 22;10:1160954. doi: 10.3389/fnut.2023.1160954. eCollection 2023.
7
The way of Qu-making significantly affected the volatile flavor compounds in Huangjiu (Chinese rice wine) during different brewing stages.制曲方式在不同酿造阶段对黄酒中的挥发性风味化合物有显著影响。
Food Sci Nutr. 2022 Apr 7;10(7):2255-2270. doi: 10.1002/fsn3.2835. eCollection 2022 Jul.
8
Residual behavior of dinotefuran and its metabolites during Huangjiu fermentation and their effects on flavor.在黄酒发酵过程中敌百虫及其代谢物的残留行为及其对风味的影响。
Food Chem. 2024 May 30;441:138300. doi: 10.1016/j.foodchem.2023.138300. Epub 2023 Dec 28.
9
Flavor Formation in Chinese Rice Wine (Huangjiu): Impacts of the Flavor-Active Microorganisms, Raw Materials, and Fermentation Technology.中国黄酒的风味形成:风味活性微生物、原料及发酵技术的影响
Front Microbiol. 2020 Nov 13;11:580247. doi: 10.3389/fmicb.2020.580247. eCollection 2020.
10
Comprehensive two-dimensional gas chromatography mass spectrometry-based untargeted metabolomics to clarify the dynamic variations in the volatile composition of Huangjiu of different ages.基于全面二维气相色谱-质谱联用的非靶向代谢组学解析不同陈酿年份黄酒挥发性成分的动态变化。
J Food Sci. 2022 Apr;87(4):1563-1574. doi: 10.1111/1750-3841.16047. Epub 2022 Mar 9.

引用本文的文献

1
Comparative Analysis of Metabolite Changes in Huangjiu During Different Aging Periods Using HRMS Metabolomics.基于高分辨质谱代谢组学的不同陈酿期黄酒代谢物变化的比较分析
Metabolites. 2025 Apr 30;15(5):298. doi: 10.3390/metabo15050298.
2
Chemical and Volatile Compounds in Sweet Potato Brandy: Impact of Processing Methods.甘薯白兰地中的化学和挥发性化合物:加工方法的影响。
Foods. 2025 Apr 23;14(9):1467. doi: 10.3390/foods14091467.
3
Understanding the characteristic changes of retrogradation behavior and edible quality of brown rice modified with inhibiting retrogradation enzymes of .

本文引用的文献

1
Health effects of kiwi wine on rats: an untargeted metabolic fingerprint study based on GC-MS/TOF.奇异果酒对大鼠的健康影响:基于气相色谱-质谱联用仪/飞行时间质谱的非靶向代谢指纹图谱研究
RSC Adv. 2019 May 3;9(24):13797-13807. doi: 10.1039/c9ra02138h. eCollection 2019 Apr 30.
2
Study on relationship between bacterial diversity and quality of Huangjiu (Chinese Rice Wine) fermentation.黄酒发酵过程中细菌多样性与品质的关系研究
Food Sci Nutr. 2021 Jun 4;9(7):3885-3892. doi: 10.1002/fsn3.2369. eCollection 2021 Jul.
3
MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights.
了解用抑制 回生酶改性的糙米回生行为和食用品质的特征变化。 (你提供的原文中“inhibiting retrogradation enzymes of ”后面似乎缺失了具体内容)
Curr Res Food Sci. 2024 Nov 15;9:100927. doi: 10.1016/j.crfs.2024.100927. eCollection 2024.
4
The Addition of Glutamine Enhances the Quality of Huangjiu by Modifying the Assembly and Metabolic Activities of Microorganisms during the Fermentation Process.添加谷氨酰胺通过改变发酵过程中微生物的组装和代谢活性来提高黄酒品质。
Foods. 2024 Sep 6;13(17):2833. doi: 10.3390/foods13172833.
5
Application of Strain Selection Technology in Alcoholic Beverages: A Review.菌株筛选技术在酒精饮料中的应用:综述
Foods. 2024 May 1;13(9):1396. doi: 10.3390/foods13091396.
6
Studies on the Changes of Fermentation Metabolites and the Protective Effect of Fermented Edible Grass on Stress Injury Induced by Acetaminophen in HepG2 Cells.发酵食用草对乙酰氨基酚诱导的HepG2细胞应激损伤的发酵代谢产物变化及保护作用研究
Foods. 2024 Feb 2;13(3):470. doi: 10.3390/foods13030470.
MetaboAnalyst 5.0:缩小原始光谱与功能见解之间的差距。
Nucleic Acids Res. 2021 Jul 2;49(W1):W388-W396. doi: 10.1093/nar/gkab382.
4
Identification of biomarkers to diagnose diseases and find adverse drug reactions by metabolomics.通过代谢组学鉴定生物标志物以诊断疾病和发现药物不良反应。
Drug Metab Pharmacokinet. 2021 Apr;37:100373. doi: 10.1016/j.dmpk.2020.11.008. Epub 2020 Dec 24.
5
Integration of GC-MS and LC-MS for untargeted metabolomics profiling.GC-MS 和 LC-MS 的整合用于非靶向代谢组学分析。
J Pharm Biomed Anal. 2020 Oct 25;190:113509. doi: 10.1016/j.jpba.2020.113509. Epub 2020 Aug 2.
6
Ice-bath assisted sodium hydroxide purification coupled with GC-MS/MS analysis for simultaneous quantification of ethyl carbamate and 12 N-nitrosoamines in yellow rice wine and beer.冰浴辅助氢氧化钠提纯结合 GC-MS/MS 分析同时定量检测黄酒和啤酒中的氨基甲酸乙酯和 12 种 N-亚硝胺。
Food Chem. 2019 Dec 1;300:125200. doi: 10.1016/j.foodchem.2019.125200. Epub 2019 Jul 17.
7
Emerging Applications of Metabolomics in Clinical Pharmacology.代谢组学在临床药理学中的新兴应用
Clin Pharmacol Ther. 2019 Sep;106(3):544-556. doi: 10.1002/cpt.1538. Epub 2019 Jul 23.
8
Characterization of the Key Aroma Compounds in Aged Chinese Rice Wine by Comparative Aroma Extract Dilution Analysis, Quantitative Measurements, Aroma Recombination, and Omission Studies.采用比较香气萃取稀释分析、定量测量、香气重组和排除研究方法对陈酿黄酒中的关键香气化合物进行特征分析。
J Agric Food Chem. 2019 May 1;67(17):4876-4884. doi: 10.1021/acs.jafc.9b01420. Epub 2019 Apr 12.
9
Response to different dietary carbohydrate and protein levels of pearl oysters (Pinctada fucata martensii) as revealed by GC-TOF/MS-based metabolomics.基于 GC-TOF/MS 代谢组学揭示的珍珠贝(马氏珠母贝)对不同膳食碳水化合物和蛋白质水平的响应。
Sci Total Environ. 2019 Feb 10;650(Pt 2):2614-2623. doi: 10.1016/j.scitotenv.2018.10.023. Epub 2018 Oct 3.
10
Effects of three permeases on arginine utilization in Saccharomyces cerevisiae.三种通透酶对酿酒酵母中精氨酸利用的影响。
Sci Rep. 2016 Feb 11;6:20910. doi: 10.1038/srep20910.