کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6590705 | 456861 | 2015 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Metabolic characterization and modeling of fermentation process of an engineered Geobacillus thermoglucosidasius strain for bioethanol production with gas stripping
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کلمات کلیدی
G6PaKGTCAMALT3PPEPAcCoACITGeobacillus thermoglucosidasiusACEPYRR5PS7POAASUCOxaloacetateF6PGlcFOME4PPGALACFUM - SMOKEalpha-ketoglutarate - آلفا کتوگلووتراتEthanol - اتانولeth - اخلاقErythrose 4-phosphate - اریتروسی 4-فسفاتAcetate - استاتAcetyl CoA - استیل کولا3-phosphoglyceric acid - اسید 3 فسفو گلیسرینOptimization - بهينه سازيBioethanol - بیواتانولFermentation - تخمیر ribose 5-phosphate - ریبوز 5-فسفاتribulose 5-phosphate - ریوبولوز 5-فسفاتsedoheptulose 7-phosphate - سدو هپتولوز 7-فسفاتSuccinate - سوکینتینCitrate - سیتراتformate - فرمتFructose 6-phosphate - فروکتوز 6-فسفاتphosphoenolpyruvate - فسفوآنولپیرواتFumarate - فوماراتLactate - لاکتاتmalate - مالتMetabolism - متابولیسم Dynamic modeling - مدل سازی پویاPyruvate - پیرواتGlucose - گلوکزGlucose 6-phosphate - گلوکز 6-فسفاتglyceraldehyde 3-phosphate - گلیسرولیدید 3-فسفات
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
مهندسی شیمی (عمومی)
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
The recently engineered Geobacillus thermoglucosidasius strain is an industrially potent thermophilic ethanologen. We employ a systematic approach to improve our understanding of the fermentation process using cellobiose as the substrate. Dynamic metabolic flux analysis clearly shows that the fluxes from pyruvate to lactate and formate are both strictly constrained throughout the process and that both the maximum ethanol yield (0.46C/C) and the maximum specific productivity (19.8 mmol C (g DCW)â1 hâ1) occur at late-exponential growth phase. Accordingly, extreme pathway analysis reduces the metabolic network into a macro reaction scheme, on which a dynamic metabolic model is built. The model is validated with experimental data, parameters are identified with confidence intervals, and global sensitivity analysis (Sobol׳ method) is performed. Model-based optimization predicts that ethanol productivity could increase from 34.2 in a typical batch process to 55.3 mmol Lâ1 hâ1 in an optimum fed-batch process with higher ethanol yield. Furthermore, the optimal operating regime was identified to be continuous fermentation process with gas stripping, in which a high ethanol productivity of 113 mmol Lâ1 hâ1, i.e., 26.8 mmol C (g DCW)â1 hâ1, corresponding to 90.2% of the maximum theoretical ethanol yield could be achieved.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chemical Engineering Science - Volume 122, 27 January 2015, Pages 138-149
Journal: Chemical Engineering Science - Volume 122, 27 January 2015, Pages 138-149
نویسندگان
Hongxing Niu, David Leak, Nilay Shah, Cleo Kontoravdi,