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1.
Chinese Journal of Biotechnology ; (12): 2003-2013, 2019.
Article in Chinese | WPRIM | ID: wpr-771737

ABSTRACT

Industrial fermentation focuses on realizing the uniform of high titer, high yield, and high productivity. Multi-scale analysis and regulation, including molecule level, cell level, and bioreactor level, facilitate global optimization and dynamic balance of fermentation process, which determine high efficiency of biosynthesis, targeted directionality of bioconversion, process robustness, and well-organized system. In this review, we summariz and discuss advances in multi-scale analysis and regulation for fermentation process focusing on the following four aspects: 1) kinetic modeling of metabolic pathways, 2) characteristic of cell metabolism, 3) co-coupling fermentation and purification, and 4) bioreactor design. Integrating multi-scale analysis of fermentation process and integrating multi-scale regulation are expected as an important strategy for realizing highly efficient fermentation by industrial microorganisms.


Subject(s)
Bioreactors , Fermentation , Industrial Microbiology , Kinetics , Metabolic Networks and Pathways
2.
Electron. j. biotechnol ; 14(2): 1-1, Mar. 2011. ilus, tab
Article in English | LILACS | ID: lil-591931

ABSTRACT

This paper describes the development and benefits of an adaptive digital module on cell growth to tackle the problem of educating a heterogeneous group of students at the beginning of an undergraduate course on process engineering. Aim of the digital module is to provide students with the minimal level of knowledge on cell growth kinetics they need to comprehend the content knowledge of the subsequent lectures and pass the exam. The module was organised to offer the subject matter in a differentiated manner, so that students could follow different learning paths. Two student groups were investigated, one consisting of students who had received their prior education abroad and one of students that had not. Exam scores, questionnaires, and logged user data of the two student groups were analysed to discover whether the digital module had the intended effect. The results indicate that students did indeed follow different learning paths. Also, the differences in exam scores between the two student groups that was present before the introduction of the digital module was found to have decreased afterwards. In general, students appreciated the use of the material regardless of their prior education. We therefore conclude that the use of adaptive digital learning material is a possible way to solve the problem of differences in prior education of students entering a course.


Subject(s)
Humans , Biotechnology/education , Computer-Assisted Instruction , Artificial Intelligence , Bioreactors , Cell Physiological Phenomena , Internet , Kinetics , Learning , Models, Educational , Students , Surveys and Questionnaires , User-Computer Interface
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