The Experts below are selected from a list of 92841 Experts worldwide ranked by ideXlab platform
Mahmoud Zarei - One of the best experts on this subject based on the ideXlab platform.
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phytoremediation potential of duckweed lemna minor l in Degradation of c i acid blue 92 artificial neural network modeling
Ecotoxicology and Environmental Safety, 2012Co-Authors: Alireza Khataee, Ali Movafeghi, Samaneh Torbati, S Salehi Y Lisar, Mahmoud ZareiAbstract:In present study, the potential of duckweed (Lemna minor L.) for Degradation of an azo dye C.I. Acid Blue 92 (AB92) has been investigated. The effect of operational parameters such as initial dye concentration, pH, temperature and amount of plant on the efficiency of Biological decolorization process was determined. The reusability of Lemna minor L. in long term repetitive operations was also examined. Growth and some biochemical parameters (photosynthetic pigments content, superoxide dismutase, catalase and peroxidase activity) were used to detect the toxic effects of AB92 on duckweed plant. The Biological Degradation compounds formed in the present process were analyzed by GC-MS technique. In addition, an artificial neural network (ANN) model was expanded to predict the Biological decolorization efficiency. The obtained data indicated that ANN provide realistic predictive performance (R(2)=0.954).
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Biological treatment of a dye solution by macroalgae chara sp effect of operational parameters intermediates identification and artificial neural network modeling
Bioresource Technology, 2010Co-Authors: Alireza Khataee, Mahmoud Zarei, Gholamreza Dehghan, A Ebadi, M PourhassanAbstract:Abstract The potential of a macroalgae Chara sp. was investigated as a viable biomaterial for Biological treatment of Malachite Green (MG) solution. The effects of operational parameters such as temperature, pH, initial dye concentration, reaction time and amount of algae on Biological decolorization efficiency were studied. Biological treatment of MG solution by live and dead algae was compared. The reusability and efficiency of the live algae in long-term repetitive operations were also examined. The batch experiments results revealed the ability of algal species in Biological Degradation of the dye. The Biological Degradation compounds formed in this process were analyzed by UV–Vis, FT-IR and GC-Mass techniques. The Degradation pathway of MG was proposed based on the identified compounds. In addition, an artificial neural network model was developed to predict the Biological Degradation efficiency. The findings indicated that ANN provides reasonable predictive performance (R2 = 0.970). The influence of each parameter on the variable studied was assessed, reaction time being the most significant factor, followed by temperature of the solution.
Gatut Sudarjanto - One of the best experts on this subject based on the ideXlab platform.
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optimization of integrated chemical Biological Degradation of a reactive azo dye using response surface methodology
Journal of Hazardous Materials, 2006Co-Authors: Gatut Sudarjanto, Beatrice Kellerlehmann, Jurg KellerAbstract:The integrated chemical-Biological Degradation combining advanced oxidation by UV/H2O2 followed by aerobic bioDegradation was used to degrade C.I. Reactive Azo Red 195A, commonly used in the textile industry in Australia. An experimental design based on the response surface method was applied to evaluate the interactive effects of influencing factors (UV irradiation time, initial hydrogen peroxide dosage and recirculation ratio of the system) on decolourisation efficiency and optimizing the operating conditions of the treatment process. The effects were determined by the measurement of dye concentration and soluble chemical oxygen demand (S-COD). The results showed that the dye and S-COD removal were affected by all factors individually and interactively. Maximal colour Degradation performance was predicted, and experimentally validated, with no recirculation, 30 min UV irradiation and 500 mg H2O2/L. The model predictions for colour removal, based on a three-factor/five-level Box-Wilson central composite design and the response surface method analysis, were found to be very close to additional experimental results obtained under near optimal conditions. This demonstrates the benefits of this approach in achieving good predictions while minimising the number of experiments required. (c) 2006 Elsevier B.V. All rights reserved.
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optimization of integrated chemical Biological Degradation of a reactive azo dye using response surface methodology
Journal of Hazardous Materials, 2006Co-Authors: Gatut Sudarjanto, Eatrice Kellerlehma, Jurg KelleAbstract:The integrated chemical-Biological Degradation combining advanced oxidation by UV/H2O2 followed by aerobic bioDegradation was used to degrade C.I. Reactive Azo Red 195A, commonly used in the textile industry in Australia. An experimental design based on the response surface method was applied to evaluate the interactive effects of influencing factors (UV irradiation time, initial hydrogen peroxide dosage and recirculation ratio of the system) on decolourisation efficiency and optimizing the operating conditions of the treatment process. The effects were determined by the measurement of dye concentration and soluble chemical oxygen demand (S-COD). The results showed that the dye and S-COD removal were affected by all factors individually and interactively. Maximal colour Degradation performance was predicted, and experimentally validated, with no recirculation, 30 min UV irradiation and 500 mg H2O2/L. The model predictions for colour removal, based on a three-factor/five-level Box-Wilson central composite design and the response surface method analysis, were found to be very close to additional experimental results obtained under near optimal conditions. This demonstrates the benefits of this approach in achieving good predictions while minimising the number of experiments required. (c) 2006 Elsevier B.V. All rights reserved.
Alireza Khataee - One of the best experts on this subject based on the ideXlab platform.
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phytoremediation potential of duckweed lemna minor l in Degradation of c i acid blue 92 artificial neural network modeling
Ecotoxicology and Environmental Safety, 2012Co-Authors: Alireza Khataee, Ali Movafeghi, Samaneh Torbati, S Salehi Y Lisar, Mahmoud ZareiAbstract:In present study, the potential of duckweed (Lemna minor L.) for Degradation of an azo dye C.I. Acid Blue 92 (AB92) has been investigated. The effect of operational parameters such as initial dye concentration, pH, temperature and amount of plant on the efficiency of Biological decolorization process was determined. The reusability of Lemna minor L. in long term repetitive operations was also examined. Growth and some biochemical parameters (photosynthetic pigments content, superoxide dismutase, catalase and peroxidase activity) were used to detect the toxic effects of AB92 on duckweed plant. The Biological Degradation compounds formed in the present process were analyzed by GC-MS technique. In addition, an artificial neural network (ANN) model was expanded to predict the Biological decolorization efficiency. The obtained data indicated that ANN provide realistic predictive performance (R(2)=0.954).
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Biological treatment of a dye solution by macroalgae chara sp effect of operational parameters intermediates identification and artificial neural network modeling
Bioresource Technology, 2010Co-Authors: Alireza Khataee, Mahmoud Zarei, Gholamreza Dehghan, A Ebadi, M PourhassanAbstract:Abstract The potential of a macroalgae Chara sp. was investigated as a viable biomaterial for Biological treatment of Malachite Green (MG) solution. The effects of operational parameters such as temperature, pH, initial dye concentration, reaction time and amount of algae on Biological decolorization efficiency were studied. Biological treatment of MG solution by live and dead algae was compared. The reusability and efficiency of the live algae in long-term repetitive operations were also examined. The batch experiments results revealed the ability of algal species in Biological Degradation of the dye. The Biological Degradation compounds formed in this process were analyzed by UV–Vis, FT-IR and GC-Mass techniques. The Degradation pathway of MG was proposed based on the identified compounds. In addition, an artificial neural network model was developed to predict the Biological Degradation efficiency. The findings indicated that ANN provides reasonable predictive performance (R2 = 0.970). The influence of each parameter on the variable studied was assessed, reaction time being the most significant factor, followed by temperature of the solution.
Morrell, Jeffrey J. - One of the best experts on this subject based on the ideXlab platform.
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The Effects of Copper-Based Preservative Technologies on the Resistance of Aspen Strandboards to Biological Degradation
Wood and Fiber Science, 2009Co-Authors: Vidrine Cheney, Kamke Frederick, Preston Alan, Morrell, Jeffrey J.Abstract:Mold and decay resistance of aspen strandboards treated with various copper-based preservative systems were evaluated in laboratory tests. Five copper-based chemicals or zinc borate were blended into the aspen furnish at three retention levels. Tebuconazole or 4,5-dichloro-2-N-octyl-4-isothiazolin-3-one (DCOI) were added as cobiocides to selected copper-based treatments. Panels were inoculated with four common molds and subjected to high temperature and humidity for 8 wk according to AWPA Standard E24. Most panels experienced extensive mold growth, but panels treated with DCOI had marked resistance to attack as did combinations of copper-based preservatives and DCOI. Panels were also assessed for decay resistance in a laboratory soil-block test against the brown-rot fungus Gloeophyllum trabeum or the white-rot fungus, Trametes versicolor, according to AWPA Standard E10. All preservatives reduced weight losses caused by G. trabeum or T. versicolor below 10%, except for micronized copper hydroxide or DCOI alone. The four other copper-based preservatives performed well independently and with the addition of DCOI or tebuconazole. The results suggest that incorporating combinations of copper-based preservative systems with organic cobiocides improved decay and mold resistance of aspen-oriented strandboard
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The effects of copper-based preservative technologies on the resistance of aspen strandboards to Biological Degradation
Society of Wood Science and Technology, 2009Co-Authors: Vidrine C, Kamke F, Preston A, Morrell, Jeffrey J.Abstract:Mold and decay resistance of aspen strandboards treated with various copper-based preservative systems were evaluated in laboratory tests. Five copper-based chemicals or zinc borate were blended into the aspen furnish at three retention levels. Tebuconazole or 4,5-dichloro-2-N-octyl-4-isothiazolin-3-one (DCOI) were added as cobiocides to selected copper-based treatments. Panels were inoculated with four common molds and subjected to high temperature and humidity for 8 wk according to AWPA Standard E24. Most panels experienced extensive mold growth, but panels treated with DCOI had marked resistance to attack as did combinations of copper-based preservatives and DCOI. Panels were also assessed for decay resistance in a laboratory soil-block test against the brown-rot fungus Gloeophyllum trabeum or the white-rot fungus, Trametes versicolor, according to AWPA Standard E10. All preservatives reduced weight losses caused by G. trabeum or T. versicolor below 10%, except for micronized copper hydroxide or DCOI alone. The four other copper-based preservatives performed well independently and with the addition of DCOI or tebuconazole. The results suggest that incorporating combinations of copper-based preservative systems with organic cobiocides improved decay and mold resistance of aspen-oriented strandboard. © 2009 by the Society of Wood Science and Technology
Lucia I C De Figueroa - One of the best experts on this subject based on the ideXlab platform.
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Biological Degradation of reactive black 5 dye by yeast trichosporon akiyoshidainum
Journal of environmental chemical engineering, 2017Co-Authors: Maria M Martorell, Hipolito F Pajot, Lucia I C De FigueroaAbstract:Abstract The textile dyeing and other industries use an extensive amount of azo dyes. Their effluents are specifically colored and could cause severe damage to the environment. The anaerobic treatment of textile dying effluents could generate carcinogenic aromatic amines. For this reason, in the recent years yeasts have become a promising alternative, combining unicellular growth with oxidative mechanisms. This work reports the oxidative Reactive Black 5 (RB5) bioDegradation mechanism by Trichosporon akiyoshidainum HP 2023, isolated from a non-contaminated environment and extensively studied for its exceptional decoloration abilities on azo dyes. Several analytical techniques (HPLC, FTIR, GC–MS, UV–vis) were used as to monitor the dye-decoloration process and the enzyme produced during biodecoloration. Starting with 200 mg L−1 of RB5, at 12 h, 89% color removal and a shift from dark blue to purple was observed, at 24 h no color was visible. Also, a decrease of aromatic amines and total aromacity (71 and 75%, respectively) was observed and biomass presented no color. The mechanism is driven by phenol oxidase and peroxidase enzymes, as they were no present in cultures without dye. During decoloration, at 15 h both enzymes reached it maximum activity levels, 353 UL−1 for phenol oxidase and 2750 UL−1 for peroxidase. The two-stages proposed mechanism involves the formation of a purple-colored quinone with an azo bond, which is subsequently degraded, finally the complete disappearance of color is achieved. These results make Trichosporon akiyoshidainum HP 2023 a promising tool for dye removal treatment of colored textile effluents.