黄绿木霉菌产纤维素酶条件优化

利用正交设计方法研究了温度、接种量、pH值、装液量等不同发酵条件对黄绿木霉菌产纤维素酶的影响, 研究结果表明, 在这些因素中影响该菌株产纤维素酶的最主要因素为温度, 而其他三个因素对该菌株产纤维素酶影响比较小。研究中得出该菌株最适产酶条件为发酵5d, 28℃、初始pH为6、接种量为8%、装液量为40 mL (150 mL三角瓶), 摇床转数为170 r/min。     

培养条件对毛栓菌菌丝体生长和多酚氧化酶分泌的影响

研究了碳源、氮源、培养温度、初始pH值、接种量、通气量等条件对毛栓菌（Trametes trogii)菌丝体生长及多酚氧化酶分泌的影响;结果表明,不同碳源和氮源对菌丝体生长影响较大,对多酚氧化酶分沁也有较大影响,麦草粉和麸皮为碳源,玉米粉、硫酸铵为氮源有利于多酚氧化酶的分泌;初始pH值对酶活影响较小,培养温度、通气量等对酶活影响较大。     

草酸青霉BZH-2002果胶酶固体发酵条件研究

对草酸青霉菌(Penixillium oxalicum)BZH-2002菌株固体发酵果胶酶的主要影响因子温度、初始pH值、含水量及接种量进行了实验探讨,确定了最佳培养条件：温度为30℃,初始pH值为4．8,固体培养基含水量控制在30～35ml/10g甜菜渣,接种量3～4%。同时对该菌株固体发酵提取液中果胶酶的酶学特性进行了初步研究,结果表明,该酶最适反应温度和pH分别为55℃和pH4．8,在40℃温度下和pH3．5～5．5范围内,酶活性较稳定。     

黄绿木霉菌产纤维素酶条件优化

利用正交设计方法研究了温度、接种量、pH值、装液量等不同发酵条件对黄绿木霉菌产纤维素酶的影响,研究结果表明,在这些因素中影响该菌株产纤维素酶的最主要因素为温度,而其他三个因素对该菌株产纤维素酶影响比较小.研究中得出该菌株最适产酶条件为发酵5d,28℃、初始pH为6、接种量为8%、装液量为40 mL(150 mL三角瓶),摇床转数为170 r/min.     

啤酒糟固态发酵产β-葡萄糖苷酶的研究

利用啤酒糟为培养基对黑曲霉固态发酵产β-葡萄糖苷酶的工艺条件进行了优化和动力学研究。单因素试验表明,最适产酶温度、料液比和接种量分别为30℃、1∶5(啤酒糟∶水,g∶mL)和10%(mL/g);利用L9(34)正交试验优化反应条件,结果表明,在25℃,初始料水比为1:5,接种量10%的条件下,培养4d,β-葡萄糖苷酶的酶活可达10.85U/g。动力学研究表明,β-葡萄糖苷酶在96h进入产酶的高峰期,120h达到酶活最大值。     

洋葱假单胞菌(Pseudomonas cepacia)PCL-3产脂肪酶发酵条件研究

研究了洋葱假单胞菌(Pseudomonas cepacia) PCL-3发酵产碱性脂肪酶培养条件的优化。采用单因子试验筛选出糊精为最适碳源,蛋白胨和尿素为复合氮源。通过Plackett-Burman设计试验,对影响产酶条件的8个相关因子进行评估并筛选出具有显著效应的三个因子：尿素、接种量以及初始pH值。用最陡爬坡实验逼近显著因子的最大响应区域后,采用响应面分析法,确定尿素、接种量以及初始pH值最优值分别为0.15％,3.05%和8.59。优化后液体发酵培养基中脂肪酶活力提高到48.88 U/mL,比初始酶活25.37U/ml提高了1.93倍。10 L 的发酵罐中,脂肪酶活力在52h达到最大,为47.69U/mL。     

1株抑制土传病原菌且产纤维素酶芽胞杆菌筛选及产酶条件的研究

通过刚果红染色法和DNS分光光度法对6种芽胞杆菌分泌胞外纤维素酶进行筛选,再通过管碟法测试对5种病原菌的抑菌作用,得到1株芽胞杆菌（菌株编号为X-02）酶活达182.5 U/mL,而且对几种土传病害有抑制作用。并对其产酶发酵培养基碳源、氮源及初始pH、发酵温度、接种量、摇瓶转速和时间进行优化,结果显示该菌株最佳碳源是2%CMC-Na,其次是葡萄糖,二者产酶之差只为21 U/mL。考虑大量生产的成本和方便性（CMC-Na溶解慢）,选择葡萄糖为碳源,氮源为2.0%蛋白胨与酵母膏复合氮源,在pH值为8.0、温度37℃、接种量为2%、转速为180 r/m in、时间48 h条件下酶活达到391.0 U/mL酶液,比优化前提高了2.1倍。     

假交替单胞菌JIV-49产抗真菌活性物质的发酵条件研究

目的:对假交替单胞菌JIV-49进行了发酵条件的研究。方法:采用单因素实验法对JIV-49产抗真菌活性物质的发酵培养基及主要的影响因子如初始pH值、温度、培养时间、接种量、转速、摇瓶装液量等进行了考察。结果:确定了最佳培养基为:牛肉膏为2.5%、KBr为0.01%、盐浓度为6%;最佳培养条件为:初始pH值为7.5、温度为30℃、培养时间为96h、接种量为7%,摇床转速为180r/min,摇瓶装液量为75ml/500ml。结论:初步确定了JIV-49发酵的条件,为工业化生产抗真菌活性物质提供了科学依据。     

华根霉产纤溶酶液体发酵条件的研究

研究了华根霉TCCC 41014产纤溶酶液态发酵的工艺条件,采用单因素实验对液态发酵培养基的碳源、氮源、初始pH值、温度和装液量进行了优化.结果表明,实验范围内华根霉TCCC41014液态发酵产纤溶酶的适宜培养基组成(g桙L):糊精80,蛋白胨60,豆粕60,初始pH为4.5.适宜培养条件:培养温度为29℃,装液量为5...     

鸡腿菇液体深层发酵工艺条件的研究

目的：研究碳源、氮源、接种量、初始pH值、温度等对鸡腿菇深层发酵的生物量和多糖产量的影响。方法：通过摇瓶培养确定了该菌株的发酵优化条件,在此条件下,获得了较高的多糖产量。结论：结果表明葡萄糖、酵母浸粉有利于鸡腿菇菌体生长和胞外多糖的形成,在初始pH值6、接种量10％、温度26℃、250ml摇瓶装液量l00ml的条件下,鸡腿菇深层发酵结果最佳,在此基础上进行摇瓶发酵曲线测定,确定了鸡腿菇适宜发酵周期为144h,胞外多糖最高可达1．98g/L。     

Structured modeling of a microbial system: I. A theoretical study of lactic acid fermentation

Most fermentation models presented in the literature are unstructured, i.e., the biomass composition is assumed constant during all operating conditions. These models are unable to simulate experiments carried out at widely different operating conditions. It is therefore interesting to examine simple structured models where knowledge of the cell physiology is taken into account in the modeling phase. In this article, a simple structured model is presented. The model is based on experimental work with the lactic acid bacteria Streptococcus cremoris, but due to the similarities in basic metabolism for many microorganisms it is applicable also for other fermentation system. The basic assumption in the model is that the biomass can be divided into two parts (compartments)-an active part and a mainly inactive structural part. The size of the active part has a pivotal role in the model.     

丙酸絮凝发酵新工艺研究

报道了丙酸发酵的一种新工艺:絮凝发酵工艺。采用谢氏丙酸杆菌(Propionibacterium shermanii)W125在批次发酵产酸达到29g/L的基础上,选择氢氧化钙作为中和剂兼絮凝剂,建立了絮凝半连续发酵工艺,连续运行250h,产酸量达到了35.4g/L,产酸率提高了22%,糖酸转化率达到了51.56%,体积效率达到了0.37g/(L/h)。     

重组巴斯德毕赤酵母高密度发酵表达植酸酶

对巴斯德毕赤酵母的高密度发酵条件进行了试验,并根据摇瓶发酵的优化结果进行了补料方式的研究。在摇瓶发酵时,最佳种龄为16h,接种量为3％,甲醇的诱导浓度为15g／L,生长阶段最适pH为5．0,诱导阶段最适pH为5．5。在间歇补料、恒速补料、变速补料三种补料方式中以变速流加最优。     

Relevance of microbial coculture fermentations in biotechnology

The purpose of this article is to review coculture fermentations in industrial biotechnology. Examples for the advantageous utilization of cocultures instead of single cultivations include the production of bulk chemicals, enzymes, food additives, antimicrobial substances and microbial fuel cells. Coculture fermentations may result in increased yield, improved control of product qualities and the possibility of utilizing cheaper substrates. Cocultivation of different micro‐organisms may also help to identify and develop new biotechnological substances. The relevance of coculture fermentations and the potential of improving existing processes as well as the production of new chemical compounds in industrial biotechnology are pointed out here by means of more than 35 examples.     

Optimization of a two-stage recombinant fermentation process: the dilution rate effect

The effects of dilution rates on the performance of a two-stage fermentation system for a recombinant Escherichia coli culture were studied. Dilution rate determines the apparent or averaged specific growth rate of a heterogeneous population of cells in the recombinant culture. The specific growht rate affects the genetic parameters involved in product formation in the second stage, such as plasmid stability, plasmid content, and specific gene expression rate. Kinetic models and correlations were developed for these parameters based on experimental data. Simulations of plasmid stability in the first stage showed that for longer fermentation periods, plasmid stability is better at higher dilution rates. However, the plasmid content is lower at these dilution rates. The optimal apparent specific growth rate for maximum productivity in the second stage was determined using two methods: (1) direct search for a constant specific growth rate, and (2) dynamic optimization using the maximum principle for a time-dependent specific growth rate profile. The results of the calculations showed that the optimum constant apparent specific growth rate for maximum over-all productivity is 0.40 h(-1). This coincides with the optimal specific growht rate for maximum plasmid content in the expressed stage. A 3.5% increase in overall productivity can be obtained by using a linear time dependent apparent specific growth rate control, mu(2)(t) = 0.0007t, in the course of the fermentation time.     

Optimization of an industrial microalgae fermentation

Optimization of cellular productivity of an industrial microalgae fermentation was investigated. The fermentation was carried out at Coors Biotech Products Company, Fort Collins, Colorado. A mathematical model was developed based on the data collected from pilot plant test runs at different operating conditions. Pontryagin's maximum principle was used for determining the optimal feed policy. A feedback control algorithm was also studied for maximizing the cellular productivity. During continuous operation, the optimum dilution rate was determined by an adaptive optimization scheme based on the steepest descent technique and a recursive least squares estimation of model parameters. A direct search algorithm was also applied to determine the optimum feed rate. Comparison of the theoretical results of the different optimization schemes revealed that the direct search algorithm was preferable because of its simplicity. The experimental results of real time application of the feedback algorithm agreed fairly well with those of the theoretical analyses. (c) 1994 John Wiley & Sons, Inc.     

Mathematical model of self-cycling fermentation

This article presents a mathematical model for biomass, limiting substrate, and dissolved oxygen concentrations during stable operation of self-cycling fermentation (SCF). Laboratory experiments using the bacterium Acinetobacter calcoaceticus RAG-1 and ethanol as the limiting substrate were performed to validate the model. A computer simulation developed from the model successfully matched experimental SCF intracycle trends and end-of-cycle results and, most importantly, settled into an unimposed periodicity characteristic of stable SCF operation. (c) 1995 John Wiley & Sons, Inc.