Evaluation of Various Unstructured Kinetic Models for the Production of Protease by Bacillus sphaericus MTTC511

Abstract

Bacillus sphaericus MTCC511 was used for the production of protease in submerged batch fermentation. Maximum protease activity of 1010 U/L was obtained during a fermentation period of 24 h under optimized conditions of 30 °C in a medium with an initial pH of 7 and at a shaking rate of 120 rpm. The maximum biomass obtained in the batch fermentation was 2.55 g/L after 16 h. Various unstructured models were analyzed to simulate the experimental values of microbial growth, protease activity and substrate concentration. The unstructured models, i.e. the Monod model for microbial growth, the Monod incorporated Luedeking‐Piret model for the production of protease and the Monod‐incorporated modified Luedeking‐Piret model for the utilization of substrate were capable of predicting the fermentation profile with high coefficient of determination (R2) values of 0.9967, 0.9402 and 0.9729, respectively. The results indicated that the unstructured models were able to describe the fermentation kinetics more effectively.

Optimization of culture conditions by response surface methodology and unstructured kinetic modeling for bioactive metabolite production by Nocardiopsis litoralis VSM-8

“…Furthermore, the evaluation of assumed unstructured models with the experimental data for comparison to find the best model that describes the system. In general, unstructured models consider the cell mass as a whole to explain the biological system and are more effective in elucidating the fermentation profiles of microbial process as for bio products (Rajendran and Thangavelu 2008 ; Rama Krishna et al 2016 ).…”

Assessment of Optimized Process Parameters for Superior Bioactive Metabolite Production by Nonomuraea longicatena VSM-16 Using Response Surface Methodology

“…13 For this type of fermentation, the standard differential mass balance equations for three components had been well established by applying Monod equation linking substrate concentration to the specific growth rate. Further the evaluation of assumed unstructured mathematical models with experimental facts for comparison in order to find the best model that could describe the whole microbial system, which are more effective in elucidating the fermentation profiles of microbial process for bioproducts [14][15][16][17] Thus, the present study is targeted to evaluate the optimized conditions such as temperature, pH, concentrations of mannitol and biopeptone for the bioactive metabolite production by VSM 16 and to further optimize the conditions for maximizing the yield of the bioactive metabolite using RSM. The purpose of research is also to assess the kinetic parameters of bioactive metabolite production from Nonomuraea longicatena strain VSM 16 (KU507597).…”

Medium optimization of protease production by Brevibacterium linens DSM 20158, using statistical approach

“…The greatest numbers of studies have focused on the extracellular proteases of the Brevibacterium linens, largely because of their high activity and importance with respect to cheese ripening (23). Proteases, also known as peptidyl-peptide hydrolases, are important industrial enzymes, which are responsible for approximately 60% of all enzyme sales (25), and are utilized extensively in a variety of industries, including laundry detergents, meat tenderization, cheese-making, dehairing, brewery, baking, the production of digestive aids, and the recovery of silver from photographic film.…”