The Experts below are selected from a list of 78 Experts worldwide ranked by ideXlab platform
Ana Loncaric Bozic - One of the best experts on this subject based on the ideXlab platform.
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treatment of chlorophenols in water matrix by uv ferrioxalate system part i Key Process Parameter evaluation by response surface methodology
Desalination, 2011Co-Authors: Hrvoje Kusic, Natalija Koprivanac, Ana Loncaric BozicAbstract:Abstract The study was focused on the investigation of the feasibility of UV/ferrioxalate system for the degradation of para-chlophenol (p-CP) as a model wastewater pollutant. The influence of Key Process Parameters was evaluated and the interactions between them were assessed using combined empirical/statistical approach applying Box–Behnken experimental design (BBD) combined with response surface methodology (RSM). BBD included three numerical and one categorical variables representing the Key Process Parameters (initial pH, [Fe3+], [C2O42−] and type of UV irradiation). The quadratic RSM models predicting the rate of (p-CP) degradation by UV/ferrioxalate systems were developed. ANOVA was applied to evaluate the significance of models and models' components. On the bases of obtained statistical Parameters (R2, F, p), developed RSM models are characterized as highly accurate and predictive. Additionally, it was determined that all four studied Process Parameters strongly influenced the UV/ferrioxalate system performance. The optimal conditions for maximal degradation of p-CP in water matrix by UV-C/ferrioxalate and UV-A/ferrioxalate are determined: pH0 = 4.4, [Fe3+] = 0.1 mM and [C2O42−] = 3.4 mM; and pH0 = 5.58, [Fe3+] = 1.38 mM and [C2O42−] = 8.16 mM. The optimal conditions strongly depended on the type of UV irradiation indicating the competitive degradation mechanisms of p-CP in water matrix including involvement of direct photolysis and radical species as well.
Stuart M. Stocks - One of the best experts on this subject based on the ideXlab platform.
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Evaluation of the energy efficiency of enzyme fermentation by mechanistic modeling
Biotechnology and Bioengineering, 2012Co-Authors: Mads Orla Albæk, Morten S. Hansen, Krist V Gernaey, Stuart M. StocksAbstract:Modeling biotechnological Processes is Key to obtaining increased productivity and efficiency. Particularly crucial to successful modeling of such systems is the coupling of the physical transport phenomena and the biological activity in one model. We have applied a model for the expression of cellulosic enzymes by the filamentous fungus Trichoderma reesei and found excellent agreement with experimental data. The most influential factor was demonstrated to be viscosity and its influence on mass transfer. Not surprisingly, the biological model is also shown to have high influence on the model prediction. At different rates of agitation and aeration as well as headspace pressure, we can predict the energy efficiency of oxygen transfer, a Key Process Parameter for economical production of industrial enzymes. An inverse relationship between the productivity and energy efficiency of the Process was found. This modeling approach can be used by manufacturers to evaluate the enzyme fermentation Process for a range of different Process conditions with regard to energy efficiency.
Hrvoje Kusic - One of the best experts on this subject based on the ideXlab platform.
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treatment of chlorophenols in water matrix by uv ferrioxalate system part i Key Process Parameter evaluation by response surface methodology
Desalination, 2011Co-Authors: Hrvoje Kusic, Natalija Koprivanac, Ana Loncaric BozicAbstract:Abstract The study was focused on the investigation of the feasibility of UV/ferrioxalate system for the degradation of para-chlophenol (p-CP) as a model wastewater pollutant. The influence of Key Process Parameters was evaluated and the interactions between them were assessed using combined empirical/statistical approach applying Box–Behnken experimental design (BBD) combined with response surface methodology (RSM). BBD included three numerical and one categorical variables representing the Key Process Parameters (initial pH, [Fe3+], [C2O42−] and type of UV irradiation). The quadratic RSM models predicting the rate of (p-CP) degradation by UV/ferrioxalate systems were developed. ANOVA was applied to evaluate the significance of models and models' components. On the bases of obtained statistical Parameters (R2, F, p), developed RSM models are characterized as highly accurate and predictive. Additionally, it was determined that all four studied Process Parameters strongly influenced the UV/ferrioxalate system performance. The optimal conditions for maximal degradation of p-CP in water matrix by UV-C/ferrioxalate and UV-A/ferrioxalate are determined: pH0 = 4.4, [Fe3+] = 0.1 mM and [C2O42−] = 3.4 mM; and pH0 = 5.58, [Fe3+] = 1.38 mM and [C2O42−] = 8.16 mM. The optimal conditions strongly depended on the type of UV irradiation indicating the competitive degradation mechanisms of p-CP in water matrix including involvement of direct photolysis and radical species as well.
Mads Orla Albæk - One of the best experts on this subject based on the ideXlab platform.
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Evaluation of the energy efficiency of enzyme fermentation by mechanistic modeling
Biotechnology and Bioengineering, 2012Co-Authors: Mads Orla Albæk, Morten S. Hansen, Krist V Gernaey, Stuart M. StocksAbstract:Modeling biotechnological Processes is Key to obtaining increased productivity and efficiency. Particularly crucial to successful modeling of such systems is the coupling of the physical transport phenomena and the biological activity in one model. We have applied a model for the expression of cellulosic enzymes by the filamentous fungus Trichoderma reesei and found excellent agreement with experimental data. The most influential factor was demonstrated to be viscosity and its influence on mass transfer. Not surprisingly, the biological model is also shown to have high influence on the model prediction. At different rates of agitation and aeration as well as headspace pressure, we can predict the energy efficiency of oxygen transfer, a Key Process Parameter for economical production of industrial enzymes. An inverse relationship between the productivity and energy efficiency of the Process was found. This modeling approach can be used by manufacturers to evaluate the enzyme fermentation Process for a range of different Process conditions with regard to energy efficiency.
Natalija Koprivanac - One of the best experts on this subject based on the ideXlab platform.
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treatment of chlorophenols in water matrix by uv ferrioxalate system part i Key Process Parameter evaluation by response surface methodology
Desalination, 2011Co-Authors: Hrvoje Kusic, Natalija Koprivanac, Ana Loncaric BozicAbstract:Abstract The study was focused on the investigation of the feasibility of UV/ferrioxalate system for the degradation of para-chlophenol (p-CP) as a model wastewater pollutant. The influence of Key Process Parameters was evaluated and the interactions between them were assessed using combined empirical/statistical approach applying Box–Behnken experimental design (BBD) combined with response surface methodology (RSM). BBD included three numerical and one categorical variables representing the Key Process Parameters (initial pH, [Fe3+], [C2O42−] and type of UV irradiation). The quadratic RSM models predicting the rate of (p-CP) degradation by UV/ferrioxalate systems were developed. ANOVA was applied to evaluate the significance of models and models' components. On the bases of obtained statistical Parameters (R2, F, p), developed RSM models are characterized as highly accurate and predictive. Additionally, it was determined that all four studied Process Parameters strongly influenced the UV/ferrioxalate system performance. The optimal conditions for maximal degradation of p-CP in water matrix by UV-C/ferrioxalate and UV-A/ferrioxalate are determined: pH0 = 4.4, [Fe3+] = 0.1 mM and [C2O42−] = 3.4 mM; and pH0 = 5.58, [Fe3+] = 1.38 mM and [C2O42−] = 8.16 mM. The optimal conditions strongly depended on the type of UV irradiation indicating the competitive degradation mechanisms of p-CP in water matrix including involvement of direct photolysis and radical species as well.
