Functionalized alginate as immobilization matrix in enantioselective L (+) lactic acid production by Lactobacillus delbrucekii.

The imperative role of functionalized natural alginate in immobilization of Lactobacillus delbrucekii (NCIM 2365) cells in production of optically pure L (+) lactic acid was studied. L. delbrucekii cells were immobilized in alginate, succinylated alginate and carrageenan to evaluate the bead stability and selectivity towards production of optically pure L (+) lactic acid. The scanning electron microscopic studies of free and immobilized cells show little morphological changes. The present study highlights the use of functionalized alginate-immobilized L. delbrucekii cells in production of L (+) lactic acid in higher yields (0.93 Yp/s in grams) with an improved enantioselectivity (99%). In addition, they further revealed decreased by-product formation (acetic and propionic acid) when compared to free and other immobilized cell fermentation.

Modelling and optimization of fermentation factors for enhancement of alkaline protease production by isolated Bacillus circulans using feed-forward neural network and genetic algorithm.

AIM: Modelling and optimization of fermentation factors and evaluation for enhanced alkaline protease production by Bacillus circulans. METHODS AND RESULTS: A hybrid system of feed-forward neural network (FFNN) and genetic algorithm (GA) was used to optimize the fermentation conditions to enhance the alkaline protease production by B. circulans. Different microbial metabolism regulating fermentation factors (incubation temperature, medium pH, inoculum level, medium volume, carbon and nitrogen sources) were used to construct a '6-13-1' topology of the FFNN for identifying the nonlinear relationship between fermentation factors and enzyme yield. FFNN predicted values were further optimized for alkaline protease production using GA. The overall mean absolute predictive error and the mean square errors were observed to be 0.0048, 27.9, 0.001128 and 22.45 U ml(-1) for training and testing, respectively. The goodness of the neural network prediction (coefficient of R(2)) was found to be 0.9993. CONCLUSIONS: Four different optimum fermentation conditions revealed maximum enzyme production out of 500 simulated data. Concentration-dependent carbon and nitrogen sources, showed major impact on bacterial metabolism mediated alkaline protease production. Improved enzyme yield could be achieved by this microbial strain in wide nutrient concentration range and each selected factor concentration depends on rest of the factors concentration. The usage of FFNN-GA hybrid methodology has resulted in a significant improvement (>2.5-fold) in the alkaline protease yield. SIGNIFICANCE AND IMPACT OF THE STUDY: The present study helps to optimize enzyme production and its regulation pattern by combinatorial influence of different fermentation factors. Further, the information obtained in this study signifies its importance during scale-up studies.

L-asparaginase production by isolated Staphylococcus sp. - 6A: design of experiment considering interaction effect for process parameter optimization.

AIMS: Evaluation of fermentation process parameter interactions for the production of l-asparaginase by isolated Staphylococcus sp. - 6A. METHODS AND RESULTS: Fractional factorial design of experimentation (L18 orthogonal array of Taguchi methodology) was adopted to optimize nutritional (carbon and nitrogen sources), physiological (incubation temperature, medium pH, aeration and agitation) and microbial (inoculum level) fermentation factors. The experimental results and software predicted enzyme production values were comparable. CONCLUSION: Incubation temperature, inoculum level and medium pH, among all fermentation factors, were major influential parameters at their individual level, and contributed to more than 60% of total l-asparaginase production. Interaction data of selected fermentation parameters could be classified as least and most significant at individual and interactive levels. Aeration and agitation were most significant at interactive level, but least significant at individual level, and showed maximum severity index and vice versa at enzyme production. SIGNIFICANCE AND IMPACT OF THE STUDY: All selected factors showed impact on l-asparaginase enzyme production by this isolated microbial strain either at the individual or interactive level. Incubation temperature, inoculum concentration, pH of the medium and nutritional source (glucose and ammonium chloride) had impact at individual level, while aeration, agitation and incubation time showed influence at interactive level. Significant improvement (ninefold increase) in enzyme production by this microbial isolate was noted under optimized environment.

Green gram husk--an inexpensive substrate for alkaline protease production by Bacillus sp. in solid-state fermentation.

Alkaline protease production under solid-state fermentation was investigated using isolated alkalophilic Bacillus sp. Among all agro-industrial waste material evaluated, green gram husk supported maximum protease production. Solid material particle size regulated the enzyme production and yield was improved with the supplementation of carbon and nitrogen sources to the solid medium. Optimum enzyme production was achieved with 1.5% maltose and 2.0% yeast extract with 371% increase than control. Glucose did not repressed enzyme production but inorganic nitrogen sources showed little negative impact. The physiological fermentation factors such as pH of the medium (pH 9.0), moisture content (140%), incubation time (60 h) and inoculum level played a vital role in alkaline protease production. The enzyme production was found to be associated with the growth of the bacterial culture.

Optimization of alkaline protease production by Bacillus sp. using Taguchi methodology.

Optimization of alkaline protease production parameters by Bacillus sp. was investigated using Taguchi methodology. The pH of the medium was observed to be the most significant factor among all selected optimization parameters at an individual level. The combinatorial influence of least significant factors, inoculum level and salt solution concentration (at the individual level), resulted in an interacting severity index of 76%, suggesting their interactive role in the regulation of protease production in this microbial species. Protease production could be improved more than 100% with Taguchi's optimized conditions of the medium composition by this microorganism.