灵芝多糖的生物合成和发酵调控

灵芝多糖是灵芝的关键药效成分之一。从灵芝多糖的结构和构效关系、灵芝多糖的单糖组成,灵芝主要多糖IPS-1-1的基本合成途径,以及灵芝多糖的深层发酵调控策略和方法等方面,综述了灵芝多糖生物合成和发酵调控方面的新进展。并对今后的主要研究方向进行了展望。     

灵芝液态深层发酵三萜类化合物研究进展

三萜类化合物是灵芝中主要的活性化学成分之一,由于其具有多种重要的生理活性,现已成为国内外学者研究灵芝的热点。本文总结了灵芝三萜发酵工艺的优化及其生物合成中的信号转导等方面的进展,并在此基础上提出了灵芝发酵研究中存在的问题,以期为灵芝三萜液态深层发酵的调控研究及发酵生产工艺的开发提供参考和启示。     

影响灵芝三萜类物质液态发酵合成的关键因素研究进展

灵芝是我国名贵的食药两用型菌类,具有广泛的药用价值,其三萜类物质为灵芝中最主要的药理活性物质之一。灵芝液态发酵因具有生长周期短、环境条件可控、目标产物质量稳定及易实现规模化制备等特点而成为获得灵芝三萜类物质最有前景的方式。灵芝三萜代谢途径、发酵工艺及参数、溶解氧控制等是影响灵芝三萜类物质液态发酵合成的关键因素。本文总结了灵芝三萜生物合成的代谢途径和相关的酶(基因)、液态发酵方式和发酵参数调节的溶解氧控制这3个层面对灵芝三萜类物质生物合成的影响,并对今后的研究方向进行了展望,为液态培养灵芝三萜类物质调控及高产提供参考,也为下一步研究提供借鉴。     

灵芝液体深层发酵研究进展

用液体深层发酵技术进行工业化培养以获取灵芝活性多糖和三萜是灵芝研究和生产中的热点和方向。本文介绍了近年来灵芝液体发酵技术在培养基的组成、菌种选育、接种量、温度以及发酵模式和动力学方面的研究进展。并探讨了当前灵芝液体发酵研究中的一些问题,为今后进一步深入研究提供思路。     

13种野生灵芝菌丝体中胞内三萜与多糖含量的比较

为探究不同野生灵芝的主要活性成分以及对野生灵芝的开发利用价值,对13种野生灵芝菌株在同一条件下进行液体发酵,采用化学分析的方法,比较菌丝体胞内三萜和多糖的含量差异。结果显示,13种灵芝菌株的三萜和多糖含量有很大差异,其中无柄紫灵芝Ganoderma mastoporum、亮盖灵芝G. lucidum和树舌灵芝G. applanatum的三萜含量较高;树舌灵芝G. applanatum、紫芝G. sinense和褐灵芝G. brownii的多糖含量较高。目前国内广泛栽培灵芝G. lingzhi的野生菌株发酵产物中的三萜和多糖含量并不是最高的,研究结果表明不同种类的野生灵芝还有进一步挖掘的潜在价值。     

变转速策略调控灵芝菌丝体发酵高产三萜

灵芝发酵过程中,采用变转速调控策略,对振荡发酵阶段进行优化,以期达到高产三萜的目的。振荡阶段最佳条件为转速由150r/min变为100r/min,该策略与液体静置培养相结合,最终菌丝体三萜产量高达678.0g/L,比优化前提高了21%。振荡发酵阶段的变转速策略有效地提高了三萜的产量。     

药用昆虫蜣螂对灵芝发酵和抗小鼠肝癌活性的影响

采用液体深层发酵方式,研究了药用昆虫蜣螂对灵芝细胞生长、关键活性产物发酵动力学和抗小鼠肝癌活性的影响。结果表明,药用昆虫蜣螂在各添加浓度下对灵芝的细胞生长均无显著促进作用;但在添加量为5g/L时,对灵芝多糖和灵芝三萜的发酵动力学有显著影响(P<0.05),在发酵第7天时,灵芝总多糖和总三萜的产量分别达到2.81g/L和539.0mg/L(对照组分别为2.25g/L和428.2mg/L)。小鼠体内抗肝癌结果表明,灵芝对照发酵物的抑癌率为41.61%,灵芝-蜣螂配合物的抑癌率为42.24%;而补加蜣螂发酵后的灵芝加蜣发酵物的抑癌率高达57.21%,与灵芝对照发酵物的抑癌率相比,提高了37.49%。研究表明,采用昆虫蜣螂补料-分批发酵后,灵芝发酵物抗小鼠肝癌的活性得到显著增强。     

油酸促进灵芝三萜液态深层发酵的工艺研究及规模化验证

灵芝三萜是灵芝中主要的活性成分之一,前期研究发现油酸可以促进灵芝三萜液态深层发酵下的发酵合成。本研究主要对油酸促进灵芝三萜液态深层发酵的工艺进行优化,并进行3L发酵罐规模的验证。通过单因素实验考察油酸的添加方式、添加时间和添加浓度对灵芝三萜的影响,结合响应面实验,获得最优工艺条件并进行验证：在发酵第32h添加1.21%高温灭菌油酸,最高灵芝三萜含量为42.69mg/g;在发酵第7h添加1.35%过滤除菌油酸,最高三萜含量为43.38mg/g,分别比对照提高2.04倍和2.08倍。在1 000mL摇瓶中添加高温灭菌油酸和过滤除菌油酸,灵芝三萜含量分别为32.18和32.48mg/g,为对照的1.96倍和1.95倍;在3L发酵罐规模下灵芝三萜含量分别为28.66和25.13mg/g,为对照的1.62倍和1.42倍。本研究系统优化了油酸促进灵芝三萜液态深层发酵的工艺条件,并在与工业生产相对应的3L发酵罐上进行验证。该研究可为灵芝三萜的规模化发酵提供重要参考和借鉴。     

不同植物药提取物对灵芝细胞生长和胞内三萜产物形成的影响

研究了不同植物药的水提和醇提物对灵芝深层发酵过程中菌丝量和胞内三萜产量的影响。将不同植物药的水提物和醇提物分别加入到发酵基础培养基中,培养7d后检测灵芝生物量和胞内三萜含量。结果表明,金银花和枸杞子水提物添加浓度为100mg/L时,可促进灵芝细胞的生长（p＜0.05）。连翘水提物对灵芝生长和胞内三萜的形成都有显著促进作用,当连翘水提物浓度为400mg/L时,胞内三萜产量从对照的（192.54±8.99）mg/L提高到（302.52±3.79）mg/L。金银花和枸杞子醇提物浓度为200mg/L时能显著促进灵芝细胞生长;枸杞子醇提物在同样浓度下还能促进灵芝胞内三萜的形成。但板蓝根和银杏叶水提物和醇提物都对灵芝的细胞生长和胞内三萜形成有较强的抑制作用。     

灵芝液态发酵胞内外多糖的研究进展

灵芝具有悠久的药用历史,其活性物质灵芝多糖具有广泛的药理活性,利用液态发酵技术获取灵芝多糖展现出独特优势。近年来,关于灵芝多糖液态发酵的研究报道越来越多,引起了研究者的广泛关注。本文从灵芝多糖的生物合成代谢及调控、液态发酵的培养基及工艺优化等方面对近期的研究结果进行总结,以期为灵芝液态发酵制备胞内外多糖及其产业化应用提供参考和依据。     

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.