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益生菌及其噬菌体抗性突变体产量提高的统计优化及随后的过程动力学建模。

Statistical optimization for enhanced yields of probiotic and its phage resistant mutants followed by kinetic modelling of the process.

作者信息

Pandey Kavita R, Joshi Chetan, Vakil Babu V

机构信息

GNIRD, G. N. Khalsa College, Matunga, Mumbai, 400019 India.

Department of Food Engineering and Technology, Institute of Chemical Technology, Matunga, Mumbai, 400019 India.

出版信息

Springerplus. 2016 Sep 23;5(1):1654. doi: 10.1186/s40064-016-3325-8. eCollection 2016.

Abstract

Probiotics are microorganisms which when administered in adequate amounts confer health benefits to the host. A leading pharmaceutical company producing as a probiotic was facing the problem of recurring phage attacks. Two mutants viz. B. co PIII and B. co MIII that were isolated as phage resistant mutants after UV irradiation and MMS treatment of phage sensitive parental culture were characterized at functional and molecular level and were noted to have undergone interesting genetic changes. The non-specific genetic alterations induced by mutagenesis can also lead to alterations in cell performance. Hence, in the current study the parental strain and the two mutants were selected for shake flask optimization. Plackett-Burman design was used to select the significant culture variables affecting biomass production. Evolutionary operation method was applied for further optimization. The study showed wide variations in the nutritional requirements of phage resistant mutants, post exposure to mutagens. An increment of 150, 134 and 152 % was observed in the biomass productions of (parental type) and mutants B.co PIII and B.co MIII respectively, compared to the yield from one-factor-at-a-time technique. Using Logistic and modified Leudeking-Piret equations, biomass accumulation and substrate utilization efficiency of the bioprocess were determined. The experimental data was in agreement with the results predicted by statistical analysis and modelling. The developed model may be useful for controlling the growth and substrate consumption kinetics in large scale fermentation using .

摘要

益生菌是一类微生物,当给予足够数量时,能给宿主带来健康益处。一家生产益生菌的领先制药公司面临噬菌体反复攻击的问题。两个突变体,即经紫外线照射和甲基磺酸甲酯处理噬菌体敏感亲本培养物后分离得到的抗噬菌体突变体B. co PIII和B. co MIII,在功能和分子水平上进行了表征,并发现它们发生了有趣的基因变化。诱变诱导的非特异性基因改变也可能导致细胞性能的改变。因此,在本研究中,选择亲本菌株和两个突变体进行摇瓶优化。采用Plackett-Burman设计来选择影响生物量生产的重要培养变量。应用进化操作方法进行进一步优化。研究表明,抗噬菌体突变体在暴露于诱变剂后,营养需求存在很大差异。与一次单因素技术的产量相比,(亲本类型)和突变体B.co PIII和B.co MIII的生物量产量分别提高了150%、134%和152%。使用Logistic和修正的Leudeking-Piret方程,确定了生物过程的生物量积累和底物利用效率。实验数据与统计分析和建模预测的结果一致。所建立的模型可能有助于控制使用[具体名称未给出]进行大规模发酵时的生长和底物消耗动力学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b787/5035293/f0d95a6f1f1f/40064_2016_3325_Fig1_HTML.jpg

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