Kinetic model for nuclease P1fermentation by Penicillium citrinum

研究了桔青霉发酵生产核酸酶P1的发酵动力学特性:以Logistic方程和Luedeking-Piret方程为基础,进行最优参数估计和非线性拟合,得到了描述整个发酵过程中的菌体生长、产物合成和基质消耗的动力学模型.对实验数据与模型预测值进行比较,发现模型预测值与实验数据能较好地拟合,基本上反映了桔青霉发酵过程的动力学特征,为以后进一步研究和预测核酸酶P1发酵过程奠定了理论基础.     

放射形土壤杆菌Q9415发酵产胞外多糖动力学研究*

放射形土壤杆菌Q941 5产胞外多糖PS 941 5的发酵为混合型发酵。应用logistic方程和L P方程对PS 941 5发酵过程的菌体生长 ,多糖合成以及底物消耗的动力学进行了讨论。研究发现 :logistic方程和L P方程建立的动力学模型较好地拟合了实验数据。     

蛹虫草菌胞外多糖发酵及其发酵动力学

蛹虫草菌(Cordyceps militaris)胞外多糖(EPS)的发酵过程和发酵动力学进行了研究。基于Logitic方程和Luedeking-Piret方程,得到了描述发酵过程的动力学数学模型和模型参数,同时对实验数据与模型进行了验证比较。模型计算与实验结果拟合良好,模型正确地反应了蛹虫草菌胞外多糖的发酵过程及其动力学机制。     

放射形土壤杆菌Q9415发酵产胞外多糖动力学研究

放射形土壤杆菌Q9415产胞外多糖PS-9415的发酵为混合型发酵。应用logistic方程和L-P方程对PS-9415发酵过程的菌体生长,多糖合成以及底物消耗的动力学进行了讨论。研究发现：logistic方程和L-P方程建立的动力学模型较好地拟合了实验数据。     

黑曲霉过氧化氢酶发酵过程的数学模型

研究了黑曲霉发酵生产过程氧化氢酶的分批发酵动力学,并建立了发酵过程菌体生长,基质消耗及酶合成的随时间变化的数学模型。Logistic方程,Luedekin-Piret方程及与Luedeking-Piret方程相似的基质消耗方程能够很好地分别描述黑曲霉细胞的生长,发酵产酶过程及葡萄糖的消耗,过氧化氢酶的发酵合成是生长耦联的,研究中还将3个动力学模型的预测值和实验值进行了比较。     

唾液链球菌嗜热亚种LCX2001胞外多糖分批发酵动力学*

对唾液链球菌嗜热亚种LCX2 0 0 1生物合成胞外多糖 (EPS)的动力学进行了研究 ,基于Logistic equation方程和Luedeking piret方程 ,得到了描述发酵过程的动力学模型和模型参数。该模型反映了细胞生长、乳酸生成、EPS生物合成和基质消耗之间的关系 ,模型的拟合结果与实验值吻合较好 ,误差小于 1 0 %。     

层生镰孢菌产甲壳素脱乙酰酶发酵动力学

对层生镰孢菌产甲壳素脱乙酰酶的发酵动力学进行了研究。通过Logistic方程分别构建层生镰孢菌细胞生长、甲壳素脱乙酰酶（CDA）合成及糖基质消耗的非结构动力学模型,并利用1stOpt软件对该模型进行了模拟,采用Origin8.0软件得到了非线性曲线拟合图形及各模型参数。结果表明,各模型预测值与实验数据能较好地拟合,层生镰孢菌细胞的比生长速率在第15.52h达到峰值（μ_{m, x}）0.160h^-1;层生镰孢菌的底物比消耗速率在26.51h时达到峰值（μ_{m, s}）0.096h^-1;层生镰孢菌的甲壳素脱乙酰酶比合成速率19.40h达到峰值（μ_{m, p}）0.548U/(mL·h)。模型拟合和实验数据具有良好的适应性,基本上反映了层生镰孢菌发酵产酶过程的动力学特征,为今后的工业化规模生产提供理论依据。     

球形节杆菌A152产透明质酸酶的发酵优化及动力学模型的建立

以制备高产量的透明质酸酶为出发点,利用5 L发酵罐对球形节杆菌A152发酵生产透明质酸酶的条件进行优化,并对其发酵动力学模型进行研究。研究结果表明,转速400 r/min、通气量3.5 L/min时,生物量和透明质酸酶酶活力最优,分别为5 g/L、16.4 U/mL;同时对发酵过程中菌体生长、产物生成及基质消耗的规律进行研究,应用Logistic方程、Luedeking-Piret方程和底物消耗的物料平衡方程建立了球形节杆菌Arthrobacter globiformis A152发酵过程的动力学模型,并通过MATLAB软件进行最优参数估计和非线性拟合。模型的计算值与实验值能较好地拟合,表明所建的模型能较好地反映发酵过程,可为发酵过程的在线控制和预测提供理论基础。     

P.chrysosporium分批发酵木素过氧化物酶动力学模型

目的:为研究黄孢原毛平革菌(P.chrysosporium AS5.776)液态分批发酵产木素过氧化物酶(LiP)发酵动力学规律,实现其发酵过程的优化,达到进一步提高酶产量.方法:对P.chrysosporium AS5.776进行5L液态分批发酵,根据发酵过程中菌体生长、基质消耗及LiP形成规律,基于Logistic方程和Luedeking-Piret方程建立了P.chrysosporium AS5.776液态分批发酵的过程动力学模型,并对模型进行了参数拟合、方差分析及验证比较.结果:模型模拟计算结果与实验值能较好地吻合,R2分别为0.9891、0.995 6和0.9925,模型显著性极高.验证实验显示所构建模型平均相对误差分别为2.9％、3.6％和12.5％.结论:该模型能较好揭示木素过氧化物酶发酵代谢过程的特征,可为工业化应用提供理论依据.     

酵母菌转化人参皂苷Rb1的动力学

在分批发酵中,对酵母菌转化人参皂苷的动力学进行了研究。应用Logistic方程和Luedeking-Piret方程,得到了描述分批发酵过程中,酵母菌体生长、底物消耗和产物合成的动力学模型及模型参数,并对实验数据与模型进行了验证比较,模型计算值与实验值拟合良好,所建模型能很好地描述酵母菌转化人参皂苷的动力学特征。为进一步研究和预测酵母菌生物转化过程奠定理论基础。     

固定化桔青霉产生核酸酶P_1的研究

利用吸附固定在多孔聚酯载体上的桔青霉(Penicillium citrinum)菌丝细胞,在摇瓶中以分批发酵方式合成核酸酶P_1.试验结果表明:在固定化细胞产酶的条件下,培养液中葡萄糖和蛋白胨的最适浓度分别为10g/L和1g/L,摇瓶转速以180~200r/min为宜.固定化细胞经过48h的产酶周期,培养液中的核酸酶P_1活力可高达513.3U/ml,其产酶效率是游离菌丝的3.6倍,而葡萄糖和蛋白胨的用量仅为游离菌丝产酶的五分之一.在重复分批发酵试验中,固定化菌丝细胞形状稳定,连续28批(共56d)的产酶结果基本一致,每批的平均酶活力为507.4U/ml,在经济上和工艺上均显示了明显的优越性.     

金龟子绿僵菌IMI330189液体发酵动力学研究

研究了金龟子绿僵菌IMI330189的液体发酵动力学。利用Sigmoid函数构建了该菌株液体发酵过程中的菌体生长和底物消耗的动力学模型,并运用Origin7.5软件拟合求解出各模型参数。结果表明,模型能够较好地拟合绿僵菌IMI330189液体发酵过程,其比生长速率在发酵第22.8h达到最大值,为0.084h-1;总糖比消耗速率在第9.6h达到最大值,为0.246h-1;总氮比消耗速率在第10.3h达到最大值,为0.007h-1;菌体对总糖的得率系数在39.8h达到最高,为0.861g/g。模型拟合和实验数据具有良好的适应性,基本反映了绿僵菌IMI330189液体发酵过程的动力学特征,为其液体发酵工艺的优化和发展奠定了基础。     

Recovery of Nuclease Produced by Lactococcus Lactis Using Expanded Bed Ion Exchange Chromatography

Expanded bed-ionic exchange chromatography (EB-IEC) was used for the recovery and purification of recombinant staphylococcal nuclease secreted by Lactococcus lactis. At the end of the fermentation process, the nuclease activity reached 39 U ml⁻¹. The EB-IEC performances were firstly evaluated with clarified culture broth. The isocratic elution with 0.5 M NaCl led to approximately 80% of nuclease recovery. Proceeding with 3-fold bed expansion resulted in a reduction of the resin capacity by a factor of 32% compared to the process in a packed bed configuration. Simplification of the early purification steps was reached by loading immediately the unclarified culture broth previously diluted to reduce conductivity. Presence of Cells did not affect the chromatography performances resulting in 55-fold purification with the same yield.     

Emended descriptions of Prevotella denticola, Prevotella loescheii, Prevotella veroralis, and Prevotella melaninogenica.

During studies of human periodontal disease, a number of bacterial strains were encountered that, on the basis of results of standard biochemical tests, appeared to be Prevotella buccalis, Prevotella denticola, Prevotella melaninogenica, or Prevotella loescheii. However, use of the standard biochemical tests, cellular fatty acid analyses, and the polyacrylamide gel electrophoresis patterns of soluble proteins resulted in conflicting identifications of these strains. The results of tests for cellobiose fermentation, inulin fermentation, and pigment production were responsible for most of the discordant results. Cellular fatty acid analyses in which the Microbial Identification System was used did not differentiate these strains from validly described species, even though separate library entries were created for them. DNA reassociation determinations in which the S1 nuclease procedure was used showed that cellobiose fermentation and pigment production are variable among strains of P. melaninogenica and P. denticola and that fermentation of xylan is not a reliable characteristic for differentiating P. buccalis from Prevotella veroralis. In contrast to previous indications, most strains of P. veroralis do not ferment xylan. These species can be differentiated by DNA-DNA reassociation and by cellular fatty acid analysis, using the Microbial Identification System, but differentiation by currently described phenotypic characteristics is not reliable. Similarly, P. loescheii and the genetically distinct (but closely related) D1C-20 group cannot be distinguished reliably from each other or from P. veroralis, P. denticola, and P. melaninogenica on the basis of currently described phenotypic tests other than cellular fatty acid composition or, for some species, electrophoretic patterns of soluble whole-cell proteins.     

Evaluation of kinetic models for industrial acetic fermentation: proposal of a new model optimized by genetic algorithms

The most important kinetic models developed for acetic fermentation were evaluated to study their ability to explain the behavior of the industrial process of acetification. Each model was introduced into a simulation environment capable of replicating the conditions of the industrial plant. In this paper, it is proven that these models are not suitable to predict the evolution of the industrial fermentation by the comparison of the simulation results with an average sequence calculated from the industrial data. Therefore, a new kinetic model for the industrial acetic fermentation was developed. The kinetic parameters of the model were optimized by a specifically designed genetic algorithm. Only the representative sequence of industrial concentrations of acetic acid was required. The main novelty of the algorithm is the four-composed desirability function that works properly as the response to maximize. The new model developed is capable of explaining the behavior of the industrial process. The predictive ability of the model has been compared with that of the other models studied.     

An unstructured kinetic model to study NaCl effect on volatile ester fermentation by <Emphasis Type="Italic">Candida etchellsii</Emphasis> for soy sauce production

Salt-tolerant aromatic yeast is an important microorganism arising from the solid state fermentation of soy sauce. The fermentation kinetics of volatile esters by Candida etchellsii was studied in a batch system. The data obtained from the fermentation were used for determining the kinetic parameters of the model. Batch experimental results at four NaCl levels (180, 200, 220, and 240 g/L) were used to formulate the parameter estimation model. The kinetic parameters of the model were optimized by specifically designed Runge-Kutta Genetic Algorithms (GA). The resulting mathematical model for volatile ester production, cell growth and glucose consumption simulates the experimental data well. The resulting new model was capable of explaining the behavior of volatile ester fermentation. The optimized parameters (μ_o, X _max, K _i, α, β, Y _X/S, m, and Y _P/S) were characterized by a correlation of functions assuming salinity dependence. The kinetic models optimized by GA describe the batch fermentation process adequately, as demonstrated by our experimental results.     

Generalised additive modelling approach to the fermentation process of glutamate

In this work, generalised additive models (GAMs) were used for the first time to model the fermentation of glutamate (Glu). It was found that three fermentation parameters fermentation time (T), dissolved oxygen (DO) and oxygen uptake rate (OUR) could capture 97% variance of the production of Glu during the fermentation process through a GAM model calibrated using online data from 15 fermentation experiments. This model was applied to investigate the individual and combined effects of T, DO and OUR on the production of Glu. The conditions to optimize the fermentation process were proposed based on the simulation study from this model. Results suggested that the production of Glu can reach a high level by controlling concentration levels of DO and OUR to the proposed optimization conditions during the fermentation process. The GAM approach therefore provides an alternative way to model and optimize the fermentation process of Glu.     

基于遗传算法的羊肚菌液体发酵动力学模型的建立

发酵动力学研究是实现发酵过程最优化控制及发酵过程放大的前提条件。本研究对羊肚菌液体深层发酵动力学进行了研究, 在Matlab软件平台上, 应用遗传算法对比了真菌生长较常用的Monod与Logistic方程在描述羊肚菌生长动力学时的优劣, 并对羊肚菌的生长、胞外多糖产生和基质消耗模型进行了参数估计。结果表明, Logistic方程与试验数据拟和情况更好, 并给出了羊肚菌液体深层发酵的动力学模型具体形式, 经验证, 模型的平均误差为5.8%。利用遗传算法选择羊肚菌动力学模型, 并进行参数估计与其他方法相比具有快速、搜索面广、接近全局最优解的特点, 在处理分批发酵动力学问题上具有不可比拟的优势, 发酵动力学模型的建立为发酵过程优化及放大奠定了基础。     

产酸丙酸杆菌FS1171产丙酸发酵动力学研究

对产酸丙酸杆菌（Propionibacterium acidogenes）FS1171产丙酸的分批发酵动力学进行研究,基于经典发酵动力学模型（Logistic、Luedeking-Piret、Dose-Resp方程）及Origin软件优选模型（Boltzmann方程）两种方法分别构建丙酸发酵过程中菌体生长、丙酸合成及底物甘油消耗随时间变化的动力学模型,软件分析表明,经典发酵动力学构建的模型拟合度整体不如Boltzmann方程构建的动力学模型,但前者所构建的3个动力学模型之间有较好的关联性,两种方法构建的模型拟合值和实验值能较好的吻合,说明所构建的产酸丙酸杆菌的发酵动力学能较好地反应丙酸杆菌的发酵过程,为优化发酵过程和工业上放大生产丙酸提供参考。