Huibin Lin

Transposition of IS elements induced by electroporation of suicide plasmid in Acidithiobacillus caldus

Transposition insertional mutagenesis of the insertion sequences (IS elements) was discovered for the first time in Acidithiobacillus caldus (A. caldus), when A. caldus MTH-04 hsdM (type I restriction-modification system M-subunit) mutant was constructed by electroporation of a suicide plasmid. The IS element, specifically inserting into hsdM gene, was analyzed, identified, and named ISAtc2. The transposition frequency of ISAtc2 was ranged from 4% to 7%, and no reverse mutation occurred in the mutants after 50 generations of proliferation without selective pressure. These results revealed that transposition of IS elements on A. caldus chromosome could regulate the gene expression and metabolic pathways by gene inactivation, gene loss and gene acquisition. Therefore, the transposition of IS elements in A. caldus may be an important and unique regulation mechanism for adaptation to the living condition.

Modeling and simulation of enzymatic gluconic acid production using immobilized enzyme and CSTR–PFTR circulation reaction system

ObjectivesProduction of gluconic acid by using immobilized enzyme and continuous stirred tank reactor-plug flow tubular reactor (CSTR–PFTR) circulation reaction system.ResultsA production system is constructed for gluconic acid production, which consists of a continuous stirred tank reactor (CSTR) for pH control and liquid storage and a plug flow tubular reactor (PFTR) filled with immobilized glucose oxidase (GOD) for gluconic acid production. Mathematical model is developed for this production system and simulation is made for the enzymatic reaction process. The pH inhibition effect on GOD is modeled by using a bell-type curve.ConclusionsGluconic acid can be efficiently produced by using the reaction system and the mathematical model developed for this system can simulate and predict the process well.

Computer Simulation of Bioprocess

Bioprocess optimization is important in order to make the bioproduction process more efficient and economic. The conventional optimization methods are costly and less efficient. On the other hand, modeling and computer simulation can reveal the mechanisms behind the phenomenon to some extent, to assist the deep analysis and efficient optimization of bioprocesses. In this chapter, modeling and computer simulation of microbial growth and metabolism kinetics, bioreactor dynamics, bioreactor feedback control will be made to show the application methods and the usefulness of modeling and computer simulation methods in optimization of the bioprocess technology.