Adsorptive removal of phenol from coke-oven wastewater using Gondwana shale, India: experiment, modeling and optimization

Sadhu, Koushik; Mukherjee, Ankita; Shukla, Surya Kumar; Adhikari, Kalyan; Dutta, Susmita

doi:10.1080/19443994.2013.815581

Cited by 23 publications

(14 citation statements)

References 25 publications

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“…Basic assumptions for ANOVA are normal distribution of responses, homogeneity of variance and individual samples (Sadhu et al 2013). Hence, the statistical techniques have the advantages to develop, improve and optimize the relationship between a number of input variables and measured responses in short period of time (Sadhu et al 2013). The main objective of RSM is to establish an empirical model statistically to obtain a valid result at a minimum resource, effort and time (Sadhu et al 2013).…”

Section: Introductionmentioning

confidence: 99%

“…Hence, the statistical techniques have the advantages to develop, improve and optimize the relationship between a number of input variables and measured responses in short period of time (Sadhu et al 2013). The main objective of RSM is to establish an empirical model statistically to obtain a valid result at a minimum resource, effort and time (Sadhu et al 2013). In a number of research works on fluoride removal, RSM has been employed for optimization of electrocoagulation process (Behbahani et al 2011), membrane techniques (Richards et al 2009), adsorption process (Alugumuthu andRajan 2010a, b;Rehman et al 2015), etc.…”

Section: Introductionmentioning

confidence: 99%

“…Such method involves (1) designing experiments in which the process parameters are varied statistically according to a set of experimental trials and determination of the output parameters; (2) analyzing the data and predicting empirical model using analysis of variance (ANOVA) and (3) numerical optimization (Yadav et al 2013). Basic assumptions for ANOVA are normal distribution of responses, homogeneity of variance and individual samples (Sadhu et al 2013). Hence, the statistical techniques have the advantages to develop, improve and optimize the relationship between a number of input variables and measured responses in short period of time (Sadhu et al 2013).…”

Section: Introductionmentioning

confidence: 99%

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Application of response surface methodology for optimization of biosorption of fluoride from groundwater using Shorea robusta flower petal

et al. 2017

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Fluoride pollution in groundwater is a major concern in rural areas. The flower petal of Shorea robusta, commonly known as sal tree, is used in the present study both in its native form and Ca-impregnated activated form to eradicate excess fluoride from simulated wastewater. Response surface methodology (RSM) was used for experimental designing and analyzing optimum condition for carbonization vis-à-vis calcium impregnation for preparation of adsorbent. During carbonization, temperature, time and weight ratio of calcium chloride to sal flower petal (SFP) have been considered as input factors and percentage removal of fluoride as response. Optimum condition for carbonization has been obtained as temperature, 500°C; time, 1 h and weight ratio, 2.5 and the sample prepared has been termed as calcium-impregnated carbonized sal flower petal (CCSFP). Optimum condition as analyzed by one-factor-at-a-time (OFAT) method is initial fluoride concentration, 2.91 mg/L; pH 3 and adsorbent dose, 4 g/L. CCSFP shows maximum removal of 98.5% at this condition. RSM has also been used for finding out optimum condition for defluoridation considering initial concentration, pH and adsorbent dose as input parameters.The optimum condition as analyzed by RSM is: initial concentration, 5 mg/L; pH 3.5 and adsorbent dose, 2 g/L. Kinetic and equilibrium data follow Ho pseudo-secondorder kinetic model and Freundlich isotherm model, respectively. Adsorption capacity of CCSFP has been found to be 5.465 mg/g. At optimized condition, CCSFP has been found to remove fluoride (80.4%) efficiently from groundwater collected from Bankura district in West Bengal, a fluoride-contaminated province in India. Adsorption rate constant of pseudo-second-order adsorption rate equation (g mgMaximum adsorption capacity of the adsorbent (mg/ g) q eSolid phase concentration of fluoride at equilibrium (mg/g) q tSolid phase concentration of fluoride at any time t (mg/g) DS Change in entropy (kJ/mol K) t Contact time (h)Electronic supplementary material The online version of this article

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Application of response surface methodology for optimization of biosorption of fluoride from groundwater using Shorea robusta flower petal

et al. 2017

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“…Design of experiments Response Surface Methodology (RSM) is a collection of mathematical and statistical technique that uses experimental data obtained from specified experimental design to model and optimize any process in which response (output variable) of interest is influenced by several independent variables (input variables) (Hameed et al 2008;Chatterjee et al 2012). Principally, this optimization process follows three major steps viz., performing the statistically designed experiments, estimating the coefficients in a mathematical model and predicting the responses and examining the adequacy of the model (Myers and Montgomery 1995;Sadhu et al 2014). RSM helps to evaluate the relationships between the responses (Y) and input factors (Ravikumar et al 2006).…”

Section: Activated Carbonmentioning

confidence: 99%

Experiment, modeling and optimization of liquid phase adsorption of Cu(II) using dried and carbonized biomass of Lyngbya majuscula

Kushwaha

Dutta

2015

Appl Water Sci

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The present work aims at evaluation of the potential of cyanobacterial biomass to remove Cu(II) from simulated wastewater. Both dried and carbonized forms of Lyngbya majuscula, a cyanobacterial strain, have been used for such purpose. The influences of different experimental parameters viz., initial Cu(II) concentration, solution pH and adsorbent dose have been examined on sorption of Cu(II). Kinetic and equilibrium studies on Cu(II) removal from simulated wastewater have been done using both dried and carbonized biomass individually. Pseudo-second-order model and Langmuir isotherm have been found to fit most satisfactorily to the kinetic and equilibrium data, respectively. Maximum 87.99 and 99.15 % of Cu(II) removal have been achieved with initial Cu(II) concentration of 10 and 25 mg/L for dried and carbonized algae, respectively, at an adsorbent dose of 10 g/L for 20 min of contact time and optimum pH 6. To optimize the removal process, Response Surface Methodology has been employed using both the dried and carbonized biomass. Removal with initial Cu(II) concentration of 20 mg/L, with 0.25 g adsorbent dose in 50 mL solution at pH 6 has been found to be optimum with both the adsorbents. This is the first ever attempt to make a comparative study on Cu(II) removal using both dried algal biomass and its activated carbon. Furthermore, regeneration of matrix was attempted and more than 70% and 80% of the adsorbent has been regenerated successfully in the case of dried and carbonized biomass respectively upto the 3rd cycle of regeneration study.

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“…Each industrial sector produces its own particular combination of pollutants (Hangchang 2009). The greatest source of water pollution accounting for more than half of the volume is from the most deadly organic pollutants of which phenol is a significant contributor (Sadhu et al 2013) and has several adverse effects on human health even at low concentrations. Due to its inherent toxic, carcinogenic, mutagenic, and teratogenic nature, it has been included in the list of priority pollutants as shown by EPA (1979).…”

Section: Introductionmentioning

confidence: 99%

Bioremediation of phenol from synthetic and real wastewater using Leptolyngbya sp.: a comparison and assessment of lipid production

et al. 2018

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Bioremediation of wastewater is gaining popularity over chemical treatment due to the greener aspect. The volume of literature containing algal biodegradation is small. Especially, removal of toxic materials like phenol from coke-oven wastewater using fast-growing cyanobacteria was not tried. The current study, therefore, targeted at bioremediation of phenol from wastewater using sp., a cyanobacterial strain, as a finishing step. Furthermore, the growth of the strain was studied under different conditions, varying phenol concentration 50-150 mg/L, pH 5-11, inoculum size 2-10% to assess its ability to produce lipid. The strain was initially grown in BG-11 as a reference medium and later in phenolic solution. The strain was found to sustain 150 mg/L concentration of phenol. SEM study had shown the clear difference in the structure of cyanobacterial strain when grown in pure BG-11 medium and phenolic solution. Maximum removal of phenol (98.5 ± 0.14%) was achieved with an initial concentration 100 mg/L, 5% inoculum size at pH 11, while the maximum amount of dry biomass (0.38 ± 0.02 g/L) was obtained at pH 7, initial phenol concentration of 50 mg/L, and 5% inoculum size. Highest lipid yield was achieved at pH 11, initial phenol concentration of 100 mg/L, and 5% inoculum size. Coke-oven wastewater collected from secondary clarifier of effluent treatment plant was also treated with the said strain and the removal of different pollutants was observed. The study suggests the utilization of such potential cyanobacterial strain in treating industrial effluent containing phenol.

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Adsorptive removal of phenol from coke-oven wastewater using Gondwana shale, India: experiment, modeling and optimization

Cited by 23 publications

References 25 publications

Application of response surface methodology for optimization of biosorption of fluoride from groundwater using Shorea robusta flower petal

Application of response surface methodology for optimization of biosorption of fluoride from groundwater using Shorea robusta flower petal

Experiment, modeling and optimization of liquid phase adsorption of Cu(II) using dried and carbonized biomass of Lyngbya majuscula

Bioremediation of phenol from synthetic and real wastewater using Leptolyngbya sp.: a comparison and assessment of lipid production

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