提高微生物胞外多糖合成工艺效率的途径。第1部分。建立生物合成的最佳条件

T. Pirog, A. Voronenko
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引用次数: 0

摘要

进行只改变一个因素的试验是确定生产者栽培最佳条件的最简单方法。通常,在这类研究中,对碳氮源的性质和浓度、pH值、温度、培养时间以及接种剂制备方法进行一致的确定。这种单因素研究仍然是初步确定对生物合成过程影响最大、需要进一步优化的最关键因素的有效工具。利用多变量研究进一步优化生产者栽培条件涉及使用各种实验数学规划方法,其中之一是Plackett-Burman设计,该设计允许在进行少量实验的同时确定对大量变量过程的影响程度。对于对胞外多糖生物合成过程影响最大的因素的组合分析,通常采用其他更复杂的数学模型,特别是Box-Wilson法、中心复合设计或Box-Behnken设计。Box-Behnken设计的一个显著优点是,它不包含所有因素同时处于最高或最低水平的组合。通过对近年来有关提高微生物胞外多糖技术效率的文献资料的分析,证明需要采用综合的方法来解决这一问题。因此,在第一阶段,有必要确定营养培养基的最佳组成。同时,最现代的方法是利用复杂的数学模型进行多因素研究,考虑到所研究的各种因素之间的相互关系,可以更准确地建立培养过程的最佳条件,保证微生物胞外多糖的浓度比优化前提高2-10倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ways for increasing the efficiency of technologies for the synthesis of microbial exopolysaccharides. Part 1. Establishing optimal conditions for biosynthesis
Conducting experiments in which only one factor is varied is the easiest way to establish the optimal conditions of producer cultivation. Usually, in such studies, a consistent determination of the nature and concentration of the carbon and nitrogen source, pH, temperature, duration of cultivation, as well as the method of inoculum preparation is carried out. Such single-factor studies remain an effective tool for the initial determination of the most critical factors which cause the greatest impact on the biosynthesis process and require additional optimization. Further optimization of producer cultivation conditions using multivariate studies involves the use of various methods of mathematical planning of experiments, one of which is the Plackett-Burman design, which allows determining the level of influence on the process of a large number of variables while conducting a smaller number of experiments. For the combined analysis of factors which have the greatest influence on the process of exopolysaccharides biosynthesis, other more complex mathematical models are usually used, in particular, the Box-Wilson method, the central composite design, or the Box-Behnken design. A significant advantage of the Box-Behnken design is that it does not contain combinations for which all factors are at the highest or lowest levels at the same time. The analyzed literature data of recent years regarding ways to increase the efficiency of microbial exopolysaccharides technologies proved the need to use an integrated approach to solve this problem. So, at the first stage, it is necessary to establish the optimal composition of the nutrient medium. At the same time, the most modern approach is to conduct multifactorial studies using complex mathematical models, which take into account the interrelationship of various studied factors and make it pos sible to more accurately establish the optimal conditions of the cultivation process, which ensure increasing the concentration of microbial exopolysaccharides by 2—10 times compared to that before optimization.
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