• 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

模拟可同化氮和温度对酿酒条件下发酵动力学的影响。

Modeling the effects of assimilable nitrogen and temperature on fermentation kinetics in enological conditions.

作者信息

Malherbe S, Fromion V, Hilgert N, Sablayrolles J-M

机构信息

Equipe de Microbiologie et Technologies des Fermentations, INRA, UMR Sciences pour l'oenologie, 2 Place Viala, 34060 Montpellier cedex 1, France.

出版信息

Biotechnol Bioeng. 2004 May 5;86(3):261-72. doi: 10.1002/bit.20075.

DOI:10.1002/bit.20075
PMID:15083506
Abstract

We propose a dynamic model of alcoholic fermentation in wine-making conditions. In this model, the speed at which CO(2) is released is related to the effects of the main factors involved in fermentation in wine-making conditions: temperature (which can vary within a predefined range) and nitrogen additions (which must not exceed the maximal authorized level). The resulting model consists of ordinary differential equations including numerous parameters that need to be identified and important interactions between explicative variables. These parameters were identified by uncoupling the effects of variables during specific experiments. The results were validated on another series of experiments in different conditions.

摘要

我们提出了一个在酿酒条件下酒精发酵的动态模型。在这个模型中,二氧化碳释放的速度与酿酒条件下参与发酵的主要因素的影响有关:温度(可在预定义范围内变化)和氮添加量(不得超过最大授权水平)。由此产生的模型由常微分方程组成,其中包括许多需要确定的参数以及解释变量之间的重要相互作用。这些参数是通过在特定实验中分离变量的影响来确定的。结果在另一系列不同条件的实验中得到了验证。

相似文献

1
Modeling the effects of assimilable nitrogen and temperature on fermentation kinetics in enological conditions.模拟可同化氮和温度对酿酒条件下发酵动力学的影响。
Biotechnol Bioeng. 2004 May 5;86(3):261-72. doi: 10.1002/bit.20075.
2
Coupling kinetic expressions and metabolic networks for predicting wine fermentations.耦合动力学表达式与代谢网络以预测葡萄酒发酵过程
Biotechnol Bioeng. 2007 Dec 1;98(5):986-98. doi: 10.1002/bit.21494.
3
Effect of nitrogen limitation and surplus upon trehalose metabolism in wine yeast.氮限制和氮过剩对葡萄酒酵母海藻糖代谢的影响。
Appl Microbiol Biotechnol. 2005 Feb;66(5):560-6. doi: 10.1007/s00253-004-1676-5. Epub 2004 Sep 16.
4
Nitrogen-backboned modeling of wine-making in standard and nitrogen-added fermentations.标准和添加氮发酵的葡萄酒酿造的氮骨架建模。
Bioprocess Biosyst Eng. 2014 Jan;37(1):5-16. doi: 10.1007/s00449-013-0914-6. Epub 2013 Feb 17.
5
Effect of ammonium concentration on alcoholic fermentation kinetics by wine yeasts for high sugar content.铵浓度对用于高糖含量葡萄酒酵母酒精发酵动力学的影响。
Food Microbiol. 2007 Feb;24(1):95-100. doi: 10.1016/j.fm.2006.04.002. Epub 2006 Apr 25.
6
Discrepancy in glucose and fructose utilisation during fermentation by Saccharomyces cerevisiae wine yeast strains.酿酒酵母葡萄酒酵母菌株在发酵过程中葡萄糖和果糖利用的差异。
FEMS Yeast Res. 2004 May;4(7):683-9. doi: 10.1016/j.femsyr.2004.02.005.
7
Comprehensive study of the evolution of gas-liquid partitioning of aroma compounds during wine alcoholic fermentation.全面研究香气化合物在葡萄酒酒精发酵过程中气液分配的演变。
J Agric Food Chem. 2010 Sep 22;58(18):10219-25. doi: 10.1021/jf101890y.
8
Structured kinetic model to represent the utilization of multiple substrates in complex media during rifamycin B fermentation.用于描述利福霉素B发酵过程中复杂培养基中多种底物利用情况的结构化动力学模型。
Biotechnol Bioeng. 2006 Mar 5;93(4):779-90. doi: 10.1002/bit.20767.
9
Effects of glucose and nitrogen source concentration on batch fermentation kinetics of Lactococcus lactis under hemin-stimulated respirative condition.在血红素刺激的呼吸条件下,葡萄糖和氮源浓度对乳酸乳球菌分批发酵动力学的影响。
Biotechnol Prog. 2008 Jul-Aug;24(4):852-8. doi: 10.1002/btpr.16.
10
Fermentation conditions affecting the bacterial growth and exopolysaccharide production by Streptococcus thermophilus ST 111 in milk-based medium.影响嗜热链球菌ST 111在乳基培养基中生长及胞外多糖产生的发酵条件。
J Appl Microbiol. 2004;97(6):1257-73. doi: 10.1111/j.1365-2672.2004.02418.x.

引用本文的文献

1
Volatilomics of Fruit Wines.水果酒挥发组学。
Molecules. 2024 May 23;29(11):2457. doi: 10.3390/molecules29112457.
2
Alcoholic Fermentation as a Source of Congeners in Fruit Spirits.水果蒸馏酒中同系物来源的酒精发酵
Foods. 2023 May 11;12(10):1951. doi: 10.3390/foods12101951.
3
Modelling the effects of assimilable nitrogen addition on fermentation in oenological conditions.模拟可同化氮添加对酿造条件下发酵的影响。
Bioprocess Biosyst Eng. 2023 Jul;46(7):941-955. doi: 10.1007/s00449-023-02861-w. Epub 2023 Apr 28.
4
Analysis of volatile compounds production kinetics: A study of the impact of nitrogen addition and temperature during alcoholic fermentation.挥发性化合物生成动力学分析:酒精发酵过程中氮添加和温度影响的研究
Front Microbiol. 2023 Mar 7;14:1124970. doi: 10.3389/fmicb.2023.1124970. eCollection 2023.
5
Consideration of Maintenance in Wine Fermentation Modeling.葡萄酒发酵建模中的维持问题考量
Foods. 2022 Jun 8;11(12):1682. doi: 10.3390/foods11121682.
6
The Timing of Nitrogen Addition Impacts Yeast Genes Expression and the Production of Aroma Compounds During Wine Fermentation.添加氮的时机对葡萄酒发酵过程中酵母基因表达及香气化合物的产生有影响。
Front Microbiol. 2022 Feb 22;13:829786. doi: 10.3389/fmicb.2022.829786. eCollection 2022.
7
Impact of high lipid contents on the production of fermentative aromas during white wine fermentation.高脂质含量对白葡萄酒发酵过程中发酵香气生成的影响。
Appl Microbiol Biotechnol. 2021 Aug;105(16-17):6435-6449. doi: 10.1007/s00253-021-11479-5. Epub 2021 Aug 23.
8
The Monod Model Is Insufficient To Explain Biomass Growth in Nitrogen-Limited Yeast Fermentation.莫诺德模型不足以解释氮限制酵母发酵中的生物量增长。
Appl Environ Microbiol. 2021 Sep 28;87(20):e0108421. doi: 10.1128/AEM.01084-21. Epub 2021 Aug 4.
9
Improved flavor profiles of red pitaya () wine by controlling the inoculations of and and the fermentation temperature.通过控制酿酒酵母和拜耳接合酵母的接种量以及发酵温度改善红肉火龙果酒的风味特征。
J Food Sci Technol. 2020 Dec;57(12):4469-4480. doi: 10.1007/s13197-020-04484-5. Epub 2020 May 1.
10
Relief from nitrogen starvation entails quick unexpected down-regulation of glycolytic/lipid metabolism genes in enological Saccharomyces cerevisiae.氮饥饿缓解导致酿酒酵母中糖酵解/脂质代谢基因快速意外下调。
PLoS One. 2019 Apr 25;14(4):e0215870. doi: 10.1371/journal.pone.0215870. eCollection 2019.