توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱Structure Identification of Recombinant E. coli Fed–Batch Cultivation with GP–OLS Method
نویسنده(ها): ، ،
اطلاعات انتشار: ششمین کنگره بین المللی مهندسی شیمی، سال
تعداد صفحات: ۶
Nonlinear dynamical models play an important role in bioprocess engineering, so it is important to deal with the structure identification of these models. This paper explores the structure identification of a biotechnological process based on experimental data. The process considered in this study is fed–batch cultivation of E. coli BL21 (DE3) [pET3a–ifnγ] under maximum attainable specific growth rate in per–induction and constant feeding at post–induction for producing human γ–Interferon protein. Dynamic order of the process model was determined with Lipschit test andGenetic Programming algorithm applied for structure identification of the process. Model complexity was reduced by Orthogonal Least Square method during structure identification procedure with eliminating the superfluous model terms. Validation results show good compatibility with experimental data and residual errors between estimated outputs and experimental data are less than 0.05.<\div>

۲Designing MPC schemes for control of recombinant E. coli fed–batch cultivation
نویسنده(ها): ، ،
اطلاعات انتشار: ششمین کنگره بین المللی مهندسی شیمی، سال
تعداد صفحات: ۶
The paper presents a model–based predictive control strategy based on state space model for fed–batch biotechnological process. The process considered in this study is fed–batch cultivation of E. coli BL21 (DE3) [pET3aifnγ] under maximum attainable specific growth rate for producing γ–Interferon protein that maximum cell density (112 g\L DCW) and rhIFN–γ concentration (37g\L) after 16.5 h were achieved. Due to dynamic behavior of the fed–batch process and also subjecting the system to abrupt changes, the process behavior cannot be represented accurately bylinearizing around a single operating point so in this work model equation based on mass balance was linearized at every time step of the controller calculation. It is shown that the controller is capable to track the reference trajectories of biomass and substrate and also reject tolerate parameter variations.<\div>
نمایش نتایج ۱ تا ۲ از میان ۲ نتیجه