The ability of different fungal species isolated from gold mines to uptake gold and other base me... more The ability of different fungal species isolated from gold mines to uptake gold and other base metals like zinc, copper, iron and lead from gold-process cyanide effluents has been investigated. Under identical treatment conditions, different strains showed wide variations ...
... ID Code: 19217. Deposited By: NG Nishad. Deposited On: 21 Feb 2010 12:58. Last Modified: 21 F... more ... ID Code: 19217. Deposited By: NG Nishad. Deposited On: 21 Feb 2010 12:58. Last Modified: 21 Feb 2010 12:58. Repository Staff Only: item control page. Powered by EPrints, Best viewed in IE 6.0+ and Netscape 7.0+ Browsers at 800x600 resolution, A service from NCSI,
Unique optical properties render the semiconductor Nb2O5 nanoparticles suitable for light harvest... more Unique optical properties render the semiconductor Nb2O5 nanoparticles suitable for light harvesting and photocatalytic applications. This study focuses on determining the optical properties such as band gap, conduction band edge,...
A microbial survey of Jamnagar bauxite mines in Gujarat, India, revealed the indigenous presence ... more A microbial survey of Jamnagar bauxite mines in Gujarat, India, revealed the indigenous presence of a variety of autotrophic and heterotrophic bacteria and fungi associated with the ore body and water ponds in the vicinity. Among these, bacteria belonging to the genera Thiobacillus, Bacillus and Pseudomonas are implicated in the weathering of aluminosilicates; the precipitation of iron oxyhydroxides; the dissolution and conversion of alkaline metal species; and the formation of alumina, silica and calcite minerals. Fungi ...
N and Cu co-doped ZnO shows outstanding antibacterial activity for E. coli inactivation under vis... more N and Cu co-doped ZnO shows outstanding antibacterial activity for E. coli inactivation under visible light.
ABSTRACT A systematic approach to cycle-to-cycle optimization of fed-batch cultures for determini... more ABSTRACT A systematic approach to cycle-to-cycle optimization of fed-batch cultures for determining the optimal substrate feed strategies is developed. The proposed optimization strategy involves three key steps: developing a reliable mathematical model, computing the optimal control policy, and experimentally verifying the effectiveness of the optimal policy. Saccharomyces cerevisiae, more commonly known as baker's yeast, is chosen as a model system. An unstructured model for aerobic growth of baker's yeast is developed. An attractive feature of the model is that it accounts for three major metabolic pathways of yeast growth, yet it is simple enough to be used in optimization studies. The optimal glucose feed policy achieves a balance between the growth rate of yeast cells and the cellular yield on glucose. The optimal feed rate sequences are identified for four different initial culture conditions. The optimal glucose feed policy is implemented in a computer controlled fermentor system. The parameters in the model are determined from the experimental data of one cycle. Then, the optimal glucose feed rate is computed and applied in the next cycle. The optimal results, obtained in two cycles of operation, show a 10 to 15% improvement over the suboptimal results. The effectiveness of the optimization scheme is demonstrated under conditions of poor parameter estimates and incorrect model assumptions. A new nonsingular control approach, in which the fermentor volume is treated as a control variable, is developed for optimization of fed-batch cultures. The proposed approach is not limited by the dimensionality of the model, and therefore, it can be used in optimization studies of complex fermentation processes. An optimization strategy is developed for problems involving two control variables. The strategy is demonstrated for determining optimal operating conditions for a bioreactor by controlling (i) substrate feed rate and temperature, (ii) feed rates of two substrates, and (iii) inlet and outlet feed rates. The uncoupled nature of the controlled variables allows a direct extension of the computational algorithms of single control variable problems to a two control variable problem.
Http Dx Doi Org 10 1080 08827500490433188, Aug 12, 2010
This article reviews the state of the art in processing and extracting ocean manganese nodules. I... more This article reviews the state of the art in processing and extracting ocean manganese nodules. It briefly reviews the mining sites where abundant rich nodules occur and also describes the metal distribution in nodules. The physicochemical characteristics of the nodules, ...
Http Dx Doi Org 10 1080 00986449608936436, May 10, 2007
ABSTRACT An adaptive optimization algorithm using backpropogation neural network model for dynami... more ABSTRACT An adaptive optimization algorithm using backpropogation neural network model for dynamic identification is developed. The algorithm is applied to maximize the cellular productivity of a continuous culture of baker's yeast. The robustness of the algorithm is demonstrated in determining and maintaining the optimal dilution rate of the continuous bioreactor in presence of disturbances in environmental conditions and microbial culture characteristics. The simulation results show that a significant reduction in time required to reach optimal operating levels can be achieved using neural network model compared with the traditional dynamic linear input-output model. The extension of the algorithm for multivariable adaptive optimization of continuous bioreactor is briefly discussed.
Solubilities of 10-undecen-1-ol and geranyl butyrate were determined and correlated based on new ... more Solubilities of 10-undecen-1-ol and geranyl butyrate were determined and correlated based on new models by combinations of solution/association theories.
ABSTRACT Optimal feed rate profiles for fed-batch bioreactors have been characterized for the pro... more ABSTRACT Optimal feed rate profiles for fed-batch bioreactors have been characterized for the production of cell mass and metabolites using various kinetic forms. A complete nonlinear feedback control based on the state variables and a kinetic model may be realized for certain limiting cases.
The ability of different fungal species isolated from gold mines to uptake gold and other base me... more The ability of different fungal species isolated from gold mines to uptake gold and other base metals like zinc, copper, iron and lead from gold-process cyanide effluents has been investigated. Under identical treatment conditions, different strains showed wide variations ...
... ID Code: 19217. Deposited By: NG Nishad. Deposited On: 21 Feb 2010 12:58. Last Modified: 21 F... more ... ID Code: 19217. Deposited By: NG Nishad. Deposited On: 21 Feb 2010 12:58. Last Modified: 21 Feb 2010 12:58. Repository Staff Only: item control page. Powered by EPrints, Best viewed in IE 6.0+ and Netscape 7.0+ Browsers at 800x600 resolution, A service from NCSI,
Unique optical properties render the semiconductor Nb2O5 nanoparticles suitable for light harvest... more Unique optical properties render the semiconductor Nb2O5 nanoparticles suitable for light harvesting and photocatalytic applications. This study focuses on determining the optical properties such as band gap, conduction band edge,...
A microbial survey of Jamnagar bauxite mines in Gujarat, India, revealed the indigenous presence ... more A microbial survey of Jamnagar bauxite mines in Gujarat, India, revealed the indigenous presence of a variety of autotrophic and heterotrophic bacteria and fungi associated with the ore body and water ponds in the vicinity. Among these, bacteria belonging to the genera Thiobacillus, Bacillus and Pseudomonas are implicated in the weathering of aluminosilicates; the precipitation of iron oxyhydroxides; the dissolution and conversion of alkaline metal species; and the formation of alumina, silica and calcite minerals. Fungi ...
N and Cu co-doped ZnO shows outstanding antibacterial activity for E. coli inactivation under vis... more N and Cu co-doped ZnO shows outstanding antibacterial activity for E. coli inactivation under visible light.
ABSTRACT A systematic approach to cycle-to-cycle optimization of fed-batch cultures for determini... more ABSTRACT A systematic approach to cycle-to-cycle optimization of fed-batch cultures for determining the optimal substrate feed strategies is developed. The proposed optimization strategy involves three key steps: developing a reliable mathematical model, computing the optimal control policy, and experimentally verifying the effectiveness of the optimal policy. Saccharomyces cerevisiae, more commonly known as baker's yeast, is chosen as a model system. An unstructured model for aerobic growth of baker's yeast is developed. An attractive feature of the model is that it accounts for three major metabolic pathways of yeast growth, yet it is simple enough to be used in optimization studies. The optimal glucose feed policy achieves a balance between the growth rate of yeast cells and the cellular yield on glucose. The optimal feed rate sequences are identified for four different initial culture conditions. The optimal glucose feed policy is implemented in a computer controlled fermentor system. The parameters in the model are determined from the experimental data of one cycle. Then, the optimal glucose feed rate is computed and applied in the next cycle. The optimal results, obtained in two cycles of operation, show a 10 to 15% improvement over the suboptimal results. The effectiveness of the optimization scheme is demonstrated under conditions of poor parameter estimates and incorrect model assumptions. A new nonsingular control approach, in which the fermentor volume is treated as a control variable, is developed for optimization of fed-batch cultures. The proposed approach is not limited by the dimensionality of the model, and therefore, it can be used in optimization studies of complex fermentation processes. An optimization strategy is developed for problems involving two control variables. The strategy is demonstrated for determining optimal operating conditions for a bioreactor by controlling (i) substrate feed rate and temperature, (ii) feed rates of two substrates, and (iii) inlet and outlet feed rates. The uncoupled nature of the controlled variables allows a direct extension of the computational algorithms of single control variable problems to a two control variable problem.
Http Dx Doi Org 10 1080 08827500490433188, Aug 12, 2010
This article reviews the state of the art in processing and extracting ocean manganese nodules. I... more This article reviews the state of the art in processing and extracting ocean manganese nodules. It briefly reviews the mining sites where abundant rich nodules occur and also describes the metal distribution in nodules. The physicochemical characteristics of the nodules, ...
Http Dx Doi Org 10 1080 00986449608936436, May 10, 2007
ABSTRACT An adaptive optimization algorithm using backpropogation neural network model for dynami... more ABSTRACT An adaptive optimization algorithm using backpropogation neural network model for dynamic identification is developed. The algorithm is applied to maximize the cellular productivity of a continuous culture of baker's yeast. The robustness of the algorithm is demonstrated in determining and maintaining the optimal dilution rate of the continuous bioreactor in presence of disturbances in environmental conditions and microbial culture characteristics. The simulation results show that a significant reduction in time required to reach optimal operating levels can be achieved using neural network model compared with the traditional dynamic linear input-output model. The extension of the algorithm for multivariable adaptive optimization of continuous bioreactor is briefly discussed.
Solubilities of 10-undecen-1-ol and geranyl butyrate were determined and correlated based on new ... more Solubilities of 10-undecen-1-ol and geranyl butyrate were determined and correlated based on new models by combinations of solution/association theories.
ABSTRACT Optimal feed rate profiles for fed-batch bioreactors have been characterized for the pro... more ABSTRACT Optimal feed rate profiles for fed-batch bioreactors have been characterized for the production of cell mass and metabolites using various kinetic forms. A complete nonlinear feedback control based on the state variables and a kinetic model may be realized for certain limiting cases.
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