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利用多参数流式细胞术对高细胞密度大肠杆菌补料分批发酵进行放大研究:葡萄糖和溶解氧浓度变化的微环境影响

Studies related to the scale-up of high-cell-density E. coli fed-batch fermentations using multiparameter flow cytometry: effect of a changing microenvironment with respect to glucose and dissolved oxygen concentration.

作者信息

Hewitt C J, Nebe-Von Caron G, Axelsson B, McFarlane C M, Nienow A W

机构信息

Centre for Bioprocess Engineering, School of Chemical Engineering, The University of Birmingham, Edgbaston B15 2TT, UK.

出版信息

Biotechnol Bioeng. 2000 Nov 20;70(4):381-90.

Abstract

Multiparameter flow cytometric techniques developed in our laboratories have been used for the "at-line" study of fed-batch bacterial fermentations. These fermentations were done at two scales, production (20 m(3)) and bench (5 x 10(-3) m(3)). In addition, at the bench scale, experiments were undertaken where the difficulty of achieving good mixing (broth homogeneity), similar to that found at the production scale, was simulated by using a two-compartment model. Flow cytometric analysis of cells in broth samples, based on a dual-staining protocol, has revealed, for the first time, that a progressive change in cell physiological state generally occurs throughout the course of such fermentations. The technique has demonstrated that a changing microenvironment with respect to substrate concentration (glucose and dissolved oxygen tension [DOT]) has a profound effect on cell physiology and hence on viable biomass yield. The relatively poorly mixed conditions in the large-scale fermentor were found to lead to a low biomass yield, but, surprisingly, were associated with a high cell viability (with respect to cytoplasmic membrane permeability) throughout the fermentation. The small-scale fermentation that most clearly mimicked the large-scale heterogeneity (i.e., a region of high glucose concentration and low DOT analogous to a feed zone) gave similar results. On the other hand, the small-scale well-mixed fermentation gave the highest biomass yield, but again, surprisingly, the lowest cell viability. The scaled-down simulations with high DOT throughout and locally low or high glucose gave biomass and viabilities between. Reasons for these results are examined in terms of environmental stress associated with an ever-increasing glucose limitation in the well-mixed case. On the other hand, at the large scale, and to differing degrees in scale-down simulations, cells periodically encounter regions of relatively higher glucose concentration.

摘要

我们实验室开发的多参数流式细胞术已用于分批补料细菌发酵的“在线”研究。这些发酵在两种规模下进行,生产规模(20立方米)和实验室规模(5×10⁻³立方米)。此外,在实验室规模下,进行了实验,通过使用两室模型模拟了实现良好混合(肉汤均匀性)的难度,类似于在生产规模中发现的情况。基于双重染色方案对肉汤样品中的细胞进行流式细胞术分析,首次揭示了在这种发酵过程中细胞生理状态通常会发生渐进变化。该技术表明,底物浓度(葡萄糖和溶解氧张力[DOT])不断变化的微环境对细胞生理有深远影响,进而对活生物质产量有影响。发现大型发酵罐中相对较差的混合条件导致生物量产量较低,但令人惊讶的是,在整个发酵过程中与高细胞活力(相对于细胞质膜通透性)相关。最清晰模拟大规模异质性的小规模发酵(即类似于进料区的高葡萄糖浓度和低DOT区域)给出了类似的结果。另一方面,小规模充分混合发酵给出了最高的生物量产量,但同样令人惊讶的是,细胞活力最低。全程高DOT且局部葡萄糖低或高的缩小模拟给出了介于两者之间的生物量和活力。根据在充分混合情况下与不断增加的葡萄糖限制相关的环境压力来研究这些结果的原因。另一方面,在大规模情况下,以及在缩小模拟中不同程度地,细胞会周期性地遇到葡萄糖浓度相对较高的区域。

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