کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8408309 | 1545069 | 2018 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
In Silico Prediction of Large-Scale Microbial Production Performance: Constraints for Getting Proper Data-Driven Models
ترجمه فارسی عنوان
در سیلیکو پیش بینی عملکرد تولیدی میکروبی بزرگ: محدودیت برای دستیابی به مدل های مدل داده مناسب
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
بیوتکنولوژی یا زیستفناوری
چکیده انگلیسی
Industrial bioreactors range from 10.000 to 700.000â¯L and characteristically show different zones of substrate availabilities, dissolved gas concentrations and pH values reflecting physical, technical and economic constraints of scale-up. Microbial producers are fluctuating inside the bioreactors thereby experiencing frequently changing micro-environmental conditions. The external stimuli induce responses on microbial metabolism and on transcriptional regulation programs. Both may deteriorate the expected microbial production performance in large scale compared to expectations deduced from ideal, well-mixed lab-scale conditions. Accordingly, predictive tools are needed to quantify large-scale impacts considering bioreactor heterogeneities. The review shows that the time is right to combine simulations of microbial kinetics with calculations of large-scale environmental conditions to predict the bioreactor performance. Accordingly, basic experimental procedures and computational tools are presented to derive proper microbial models and hydrodynamic conditions, and to link both for bioreactor modeling. Particular emphasis is laid on the identification of gene regulatory networks as the implementation of such models will surely gain momentum in future studies.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational and Structural Biotechnology Journal - Volume 16, 2018, Pages 246-256
Journal: Computational and Structural Biotechnology Journal - Volume 16, 2018, Pages 246-256
نویسندگان
Julia Zieringer, Ralf Takors,