Dolochar, a solid waste generated from sponge iron industry during the process of di... more Dolochar, a solid waste generated from sponge iron industry during the process of direct reduction of iron by rotary kiln, is explored as an adsorbent for phosphate removal in this study. The depiction of the adsorption process was done by X-ray diffraction (XRD), Fourier transferred infra-red spectroscopy (FTIR), and Energy dispersive spectroscopy (EDS) analysis. The appearance of phosphorous peak in EDS spectra of spent dolochar confirmed phosphate adsorption. Application of response surface methodology (RSM) and analysis of variance (ANOVA) for modelling and optimization of phosphate removal in batch study and breakthrough time in column study, suggested quadratic models for both the responses. Experimental validation of the optimization process resulted in 98.13% phosphate removal and 24.67 h breakthrough time. Pseudo second order kinetic and Langmuir isotherm illustrated best fit to the experimental data with R 2 = 0.98 and R 2 = 0.99, respectively. The values of separation factor (1 > RL> 0), Freundlich exponent (n > 1) and thermodynamic parameters (DG8, 3442.6 kJ/mol and DH8, 6627 kJ/ mol) specified favourable spontaneous and endothermic adsorption process. The adsorbent displayed 80% of the original adsorption capacity in the 3rd cycle of reuse. The results of this study support the utility of dolochar as a low cost and highly efficient adsorbent for phosphate removal from aqueous solution.
Background: Amylases play a vital role in biotechnological studies and rank an important position... more Background: Amylases play a vital role in biotechnological studies and rank an important position in the world enzyme market (25% to 33%). Bioprocess method of amylase production is more effective than the other sources, since the technique is easy, cost effective, fast, and the enzymes of required properties can be procured. Objectives: The current study aimed to report the characteristics of novel amylase producing bacterial strains isolated from Taptapani hot spring, Odisha, India. Materials and Methods: Bacterial strains were isolated by dilution plating method from the water samples collected from Taptapani Hot Spring, Odisha and screened for amylase production through starch hydrolysis. The bacterial isolates were identified morphologically, biochemically, and finally by 16S rDNA profiling. Results: Based on the morphological, physiological, biochemical characteristics and the molecular characterization, the isolates SS1, SS2, and SS3 were identified as Bacillus barbaricus, Aeromonas veroni,and Stenotrophomonas maltophilia,respectively. The approximate molecular weight of enzymes from SS1, SS2, and SS3 strains were 19 kDa, 56 kDa and 49 kDa, respectively. Conclusions: The current report isolates, characterizes, and demonstrates the novel heat-adapted amylase-producing bacteria SS1, SS2 and SS3 from Taptapani hot spring, indicating its potentiality and stability under acidic conditions.
The present study examines the phosphate adsorption potential and behavior of mixture of
Ground B... more The present study examines the phosphate adsorption potential and behavior of mixture of Ground Burnt Patties (GBP), a solid waste generated from cooking fuel used in earthen stoves and Red Soil (RS), a natural substance in fixed bed column mode operation. The characterization of adsorbent was done by Proton Induced X- ray Emission (PIXE), and Proton Induced γ- ray Emission (PIGE) methods. The FTIR spectroscopy of spent adsorbent reveals the presence of absorbance peak at 1127 cm-1 which appears due to P = O stretching, thus confirming phosphate adsorption. The effects of bed height (10, 15 and 20 cm), flow rate (2.5, 5 and 7.5 mL/min) and initial phosphate concentration (5 and 15 mg/L) on breakthrough curves were explored. Both the breakthrough and exhaustion time increased with increase in bed depth, decrease in flow rate and influent concentration. Thomas model, Yoon-Nelson model and Modified Dose Response model were used to fit the column adsorption data using nonlinear regression analysis while Bed Depth Service Time model followed linear regression analysis under different experimental condition to evaluate model parameters that are useful in scale up of the process. The values of correlation coefficient (R2 ) and the Sum of Square Error (SSE) revealed the Modified Dose Response model as the best fitted model to the experimental data. The adsorbent mixture responded effectively to the desorption and reusability experiment. The results of this finding advocated that mixture of GBP and RS can be used as a low cost, highly efficient adsorbent for phosphate removal from aqueous solution.
Dolochar, a solid waste generated from sponge iron industry during the process of di... more Dolochar, a solid waste generated from sponge iron industry during the process of direct reduction of iron by rotary kiln, is explored as an adsorbent for phosphate removal in this study. The depiction of the adsorption process was done by X-ray diffraction (XRD), Fourier transferred infra-red spectroscopy (FTIR), and Energy dispersive spectroscopy (EDS) analysis. The appearance of phosphorous peak in EDS spectra of spent dolochar confirmed phosphate adsorption. Application of response surface methodology (RSM) and analysis of variance (ANOVA) for modelling and optimization of phosphate removal in batch study and breakthrough time in column study, suggested quadratic models for both the responses. Experimental validation of the optimization process resulted in 98.13% phosphate removal and 24.67 h breakthrough time. Pseudo second order kinetic and Langmuir isotherm illustrated best fit to the experimental data with R 2 = 0.98 and R 2 = 0.99, respectively. The values of separation factor (1 > RL> 0), Freundlich exponent (n > 1) and thermodynamic parameters (DG8, 3442.6 kJ/mol and DH8, 6627 kJ/ mol) specified favourable spontaneous and endothermic adsorption process. The adsorbent displayed 80% of the original adsorption capacity in the 3rd cycle of reuse. The results of this study support the utility of dolochar as a low cost and highly efficient adsorbent for phosphate removal from aqueous solution.
Background: Amylases play a vital role in biotechnological studies and rank an important position... more Background: Amylases play a vital role in biotechnological studies and rank an important position in the world enzyme market (25% to 33%). Bioprocess method of amylase production is more effective than the other sources, since the technique is easy, cost effective, fast, and the enzymes of required properties can be procured. Objectives: The current study aimed to report the characteristics of novel amylase producing bacterial strains isolated from Taptapani hot spring, Odisha, India. Materials and Methods: Bacterial strains were isolated by dilution plating method from the water samples collected from Taptapani Hot Spring, Odisha and screened for amylase production through starch hydrolysis. The bacterial isolates were identified morphologically, biochemically, and finally by 16S rDNA profiling. Results: Based on the morphological, physiological, biochemical characteristics and the molecular characterization, the isolates SS1, SS2, and SS3 were identified as Bacillus barbaricus, Aeromonas veroni,and Stenotrophomonas maltophilia,respectively. The approximate molecular weight of enzymes from SS1, SS2, and SS3 strains were 19 kDa, 56 kDa and 49 kDa, respectively. Conclusions: The current report isolates, characterizes, and demonstrates the novel heat-adapted amylase-producing bacteria SS1, SS2 and SS3 from Taptapani hot spring, indicating its potentiality and stability under acidic conditions.
The present study examines the phosphate adsorption potential and behavior of mixture of
Ground B... more The present study examines the phosphate adsorption potential and behavior of mixture of Ground Burnt Patties (GBP), a solid waste generated from cooking fuel used in earthen stoves and Red Soil (RS), a natural substance in fixed bed column mode operation. The characterization of adsorbent was done by Proton Induced X- ray Emission (PIXE), and Proton Induced γ- ray Emission (PIGE) methods. The FTIR spectroscopy of spent adsorbent reveals the presence of absorbance peak at 1127 cm-1 which appears due to P = O stretching, thus confirming phosphate adsorption. The effects of bed height (10, 15 and 20 cm), flow rate (2.5, 5 and 7.5 mL/min) and initial phosphate concentration (5 and 15 mg/L) on breakthrough curves were explored. Both the breakthrough and exhaustion time increased with increase in bed depth, decrease in flow rate and influent concentration. Thomas model, Yoon-Nelson model and Modified Dose Response model were used to fit the column adsorption data using nonlinear regression analysis while Bed Depth Service Time model followed linear regression analysis under different experimental condition to evaluate model parameters that are useful in scale up of the process. The values of correlation coefficient (R2 ) and the Sum of Square Error (SSE) revealed the Modified Dose Response model as the best fitted model to the experimental data. The adsorbent mixture responded effectively to the desorption and reusability experiment. The results of this finding advocated that mixture of GBP and RS can be used as a low cost, highly efficient adsorbent for phosphate removal from aqueous solution.
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iron by rotary kiln, is explored as an adsorbent for phosphate removal in this study. The depiction of the
adsorption process was done by X-ray diffraction (XRD), Fourier transferred infra-red spectroscopy
(FTIR), and Energy dispersive spectroscopy (EDS) analysis. The appearance of phosphorous peak in EDS
spectra of spent dolochar confirmed phosphate adsorption. Application of response surface methodology
(RSM) and analysis of variance (ANOVA) for modelling and optimization of phosphate removal in batch
study and breakthrough time in column study, suggested quadratic models for both the responses.
Experimental validation of the optimization process resulted in 98.13% phosphate removal and 24.67 h
breakthrough time. Pseudo second order kinetic and Langmuir isotherm illustrated best fit to the
experimental data with R
2
= 0.98 and R
2
= 0.99, respectively. The values of separation factor (1 > RL> 0),
Freundlich exponent (n > 1) and thermodynamic parameters (DG8, 3442.6 kJ/mol and DH8, 6627 kJ/
mol) specified favourable spontaneous and endothermic adsorption process. The adsorbent displayed
80% of the original adsorption capacity in the 3rd cycle of reuse. The results of this study support the
utility of dolochar as a low cost and highly efficient adsorbent for phosphate removal from aqueous
solution.
33%). Bioprocess method of amylase production is more effective than the other sources, since the technique is easy, cost effective, fast, and
the enzymes of required properties can be procured.
Objectives: The current study aimed to report the characteristics of novel amylase producing bacterial strains isolated from Taptapani
hot spring, Odisha, India.
Materials and Methods: Bacterial strains were isolated by dilution plating method from the water samples collected from Taptapani Hot
Spring, Odisha and screened for amylase production through starch hydrolysis. The bacterial isolates were identified morphologically,
biochemically, and finally by 16S rDNA profiling.
Results: Based on the morphological, physiological, biochemical characteristics and the molecular characterization, the isolates SS1, SS2,
and SS3 were identified as Bacillus barbaricus, Aeromonas veroni,and Stenotrophomonas maltophilia,respectively. The approximate molecular
weight of enzymes from SS1, SS2, and SS3 strains were 19 kDa, 56 kDa and 49 kDa, respectively.
Conclusions: The current report isolates, characterizes, and demonstrates the novel heat-adapted amylase-producing bacteria SS1, SS2
and SS3 from Taptapani hot spring, indicating its potentiality and stability under acidic conditions.
Ground Burnt Patties (GBP), a solid waste generated from cooking fuel used in earthen stoves and Red Soil
(RS), a natural substance in fixed bed column mode operation. The characterization of adsorbent was done
by Proton Induced X- ray Emission (PIXE), and Proton Induced γ- ray Emission (PIGE) methods. The FTIR
spectroscopy of spent adsorbent reveals the presence of absorbance peak at 1127 cm-1 which appears due to
P = O stretching, thus confirming phosphate adsorption. The effects of bed height (10, 15 and 20 cm), flow
rate (2.5, 5 and 7.5 mL/min) and initial phosphate concentration (5 and 15 mg/L) on breakthrough curves
were explored. Both the breakthrough and exhaustion time increased with increase in bed depth, decrease in
flow rate and influent concentration. Thomas model, Yoon-Nelson model and Modified Dose Response
model were used to fit the column adsorption data using nonlinear regression analysis while Bed Depth
Service Time model followed linear regression analysis under different experimental condition to evaluate
model parameters that are useful in scale up of the process. The values of correlation coefficient (R2
) and the
Sum of Square Error (SSE) revealed the Modified Dose Response model as the best fitted model to the
experimental data. The adsorbent mixture responded effectively to the desorption and reusability experiment.
The results of this finding advocated that mixture of GBP and RS can be used as a low cost, highly efficient
adsorbent for phosphate removal from aqueous solution.
iron by rotary kiln, is explored as an adsorbent for phosphate removal in this study. The depiction of the
adsorption process was done by X-ray diffraction (XRD), Fourier transferred infra-red spectroscopy
(FTIR), and Energy dispersive spectroscopy (EDS) analysis. The appearance of phosphorous peak in EDS
spectra of spent dolochar confirmed phosphate adsorption. Application of response surface methodology
(RSM) and analysis of variance (ANOVA) for modelling and optimization of phosphate removal in batch
study and breakthrough time in column study, suggested quadratic models for both the responses.
Experimental validation of the optimization process resulted in 98.13% phosphate removal and 24.67 h
breakthrough time. Pseudo second order kinetic and Langmuir isotherm illustrated best fit to the
experimental data with R
2
= 0.98 and R
2
= 0.99, respectively. The values of separation factor (1 > RL> 0),
Freundlich exponent (n > 1) and thermodynamic parameters (DG8, 3442.6 kJ/mol and DH8, 6627 kJ/
mol) specified favourable spontaneous and endothermic adsorption process. The adsorbent displayed
80% of the original adsorption capacity in the 3rd cycle of reuse. The results of this study support the
utility of dolochar as a low cost and highly efficient adsorbent for phosphate removal from aqueous
solution.
33%). Bioprocess method of amylase production is more effective than the other sources, since the technique is easy, cost effective, fast, and
the enzymes of required properties can be procured.
Objectives: The current study aimed to report the characteristics of novel amylase producing bacterial strains isolated from Taptapani
hot spring, Odisha, India.
Materials and Methods: Bacterial strains were isolated by dilution plating method from the water samples collected from Taptapani Hot
Spring, Odisha and screened for amylase production through starch hydrolysis. The bacterial isolates were identified morphologically,
biochemically, and finally by 16S rDNA profiling.
Results: Based on the morphological, physiological, biochemical characteristics and the molecular characterization, the isolates SS1, SS2,
and SS3 were identified as Bacillus barbaricus, Aeromonas veroni,and Stenotrophomonas maltophilia,respectively. The approximate molecular
weight of enzymes from SS1, SS2, and SS3 strains were 19 kDa, 56 kDa and 49 kDa, respectively.
Conclusions: The current report isolates, characterizes, and demonstrates the novel heat-adapted amylase-producing bacteria SS1, SS2
and SS3 from Taptapani hot spring, indicating its potentiality and stability under acidic conditions.
Ground Burnt Patties (GBP), a solid waste generated from cooking fuel used in earthen stoves and Red Soil
(RS), a natural substance in fixed bed column mode operation. The characterization of adsorbent was done
by Proton Induced X- ray Emission (PIXE), and Proton Induced γ- ray Emission (PIGE) methods. The FTIR
spectroscopy of spent adsorbent reveals the presence of absorbance peak at 1127 cm-1 which appears due to
P = O stretching, thus confirming phosphate adsorption. The effects of bed height (10, 15 and 20 cm), flow
rate (2.5, 5 and 7.5 mL/min) and initial phosphate concentration (5 and 15 mg/L) on breakthrough curves
were explored. Both the breakthrough and exhaustion time increased with increase in bed depth, decrease in
flow rate and influent concentration. Thomas model, Yoon-Nelson model and Modified Dose Response
model were used to fit the column adsorption data using nonlinear regression analysis while Bed Depth
Service Time model followed linear regression analysis under different experimental condition to evaluate
model parameters that are useful in scale up of the process. The values of correlation coefficient (R2
) and the
Sum of Square Error (SSE) revealed the Modified Dose Response model as the best fitted model to the
experimental data. The adsorbent mixture responded effectively to the desorption and reusability experiment.
The results of this finding advocated that mixture of GBP and RS can be used as a low cost, highly efficient
adsorbent for phosphate removal from aqueous solution.