A cell engineering approach to enzyme-based fed-batch fermentation
نویسندگان
چکیده
Abstract Background A fundamental problem associated with E. coli fermentations is the difficulty in achieving high cell densities batch cultures, attributed large part to production and accumulation of acetate through a phenomenon known as overflow metabolism when supplying enough glucose for density desired. Although fed-batch configuration standard method reducing such issues, traditional systems require components which become problematic applying them at smaller scale. One alternative has been development system whereby enzymatic degradation starch used release controlled rate. However, date, amylolytic enzymes have only applied culture exogenously, whereas our goal design construct self-secreting chassis capable self-regulated enzyme-based fermentation. Results putative glucoamylase from C. violaceum cloned expressed BL21(DE3) W3110, exhibits significant releasing activity. Extracellular activity was enhanced following replacement native signal peptide DsbA sequence, contributing secreting strain utilising sole carbon source defined media. Introduction PcstA , sensitive K12 compatible promoter, incorporation this alongside gave rise increased cultures grown on (OD 600 ∼ 30) compared those an equivalent amount 15). Lastly, novel fermentation demonstrated via simultaneous expression recombinant protein interest (eGFP), resulting fourfold increase yield media containing equivalent. Conclusions This study developed, secretion previously uncharacterised bacterial glucoamylase, direct conversion. The ability achieve well glucose, demonstrates first time engineering approach
منابع مشابه
Modelling of a Fed-Batch Fermentation Process
This report describes the building of a simulator for prediction of the dissolved oxygen concentration, the oxygen transfer rate and the concentration of carbon dioxide in a fermentation process. The steady state models were made using the linguistic equations method. The dynamic models were made using Simulink ® toolbox in the Matlab ® . At the beginning, some basics about fermentation and mic...
متن کاملBatch-to-Batch Iterative Learning Control of a Fed-batch Fermentation Process Using Incrementally Updated Models
Batch-to-batch iterative learning control of a fed-batch fermentation process using batchwise linearised models identified from process operation data is presented in this paper. Due to model-plant mismatches and the present of unknown disturbances, off-line calculated control policy may not be optimal when implemented to the real process. The repetitive nature of batch process allows informati...
متن کاملA Genetic Algorithms Based Approach for Identification of Escherichia coli Fed-batch Fermentation
This paper presents the use of genetic algorithms for identification of Escherichia coli fed-batch fermentation process. Genetic algorithms are a directed random search technique, based on the mechanics of natural selection and natural genetics, which can find the global optimal solution in complex multidimensional search space. The dynamic behavior of considered process has known nonlinear str...
متن کاملModelling Fed-Batch Fermentation Processes: An Approach Based on Artificial Neural Networks
Artificial Neural Networks (ANNs) have shown to be powerful tools for solving several problems which, due to their complexity, are extremely difficult to unravel with other methods. Their capabilities of massive parallel processing and learning from the environment make these structures ideal for prediction of nonlinear events. In this work, a set of computational tools are proposed, allowing r...
متن کاملFed-Batch Cell Culture Process Optimization A Rationally Integrated Approach
level: intermediAte Most biopharmaceutical production platforms are based on fed-batch cell culture protocols, which can support high volumetric productivity while maintaining low operational complexity (1). The industry is interested in developing or refining high-titer cell culture processes to meet increasing market demands and reduce manufacturing costs (2). Although advancements in cell en...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Microbial Cell Factories
سال: 2021
ISSN: ['1475-2859']
DOI: https://doi.org/10.1186/s12934-021-01634-y