Prakash Chandra mishra
@fmuniversity.nic.in
Associate Professor, PG Dept. of Environmental Science
Fakir Mohan University, Balasore
RESEARCH, TEACHING, or OTHER INTERESTS
Chemistry, Environmental Chemistry, Water Science and Technology, Pollution
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Dipankar Jena and Prakash Chandra Mishra
Elsevier BV
Pabitra Mohan Mahapatra, Prakash Chandra Mishra, Sachin Kumar, Puspanjali Mishra, and Achyut Kumar Panda
Elsevier BV
Dipankar Jena, Anjan Kumar Bej, Anil Kumar Giri, and Prakash Chandra Mishra
Springer Science and Business Media LLC
Anil Kumar Giri and Prakash Chandra Mishra
Elsevier BV
Anil Kumar Giri and Prakash Chandra Mishra
Springer Science and Business Media LLC
Anil Kumar Giri, Prakash Chandra Mishra, Ranindra Kumar Nayak, and Surjendu Kumar Dey
Informa UK Limited
The present research work approaches the accumulation of fluoride ions from contaminated water using an aquatic plant Monochoria hastate L. in hydroponic culture. A design of experiment (DOE) has been adopted and an analysis of variance has been conducted to establish the statistical significance of various process parameters. The different experimental factors are root and shoot (Factor A), fluoride concentration (Factor B), and experimental days (Factor C) largely influence the output response. Plants treated with 5 mg/L of fluoride solutions accumulated the highest concentration in root biomass 1.23 mg/gm, and shoot biomass 0.820 mg/gm, dry weight after 21 days' experimentation. The accumulation mechanism and potentiality of treated plants depend on root cells of the plasma membrane and energy-capturing molecules of adenosine triphosphate. Monochoria hastate L. root biomass was characterized to confirm the accumulation of fluoride ions in the experimented plants using scanning electron micrographs-energy dispersive spectrum (SEM-EDS), and Fourier transforms infrared analysis (FTIR) analysis.
Uma Sankar Behera, Prakash Chandra Mishra, and G. B. Radhika
IWA Publishing
Abstract The conventional method of water treatment using activated carbon from several sources has been focused on extensively in the last two decades. However, rare attention has been noticed on natural adsorbents such as plant leaves. Therefore, the Psidium guajava (guava) leaf has been investigated to understand its adsorption efficacy for Arsenic (III) [As(III)] in this study. The effect of process variables, e.g., pH, concentration of metal ion, adsorbent's particle size, and dosages, are evaluated. Experiments are carried out in batch mode, and the individual and combined parameter's impact on adsorption have been discussed. Fourier transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM) is used to characterize the adsorbent's surface. Freundlich and Langmuir's isotherms are used for adsorption equilibrium study. The adsorption parameters are optimized by establishing a regression correlation using central composite design (CCD) of response surface methodology (RSM). The analysis of variance (ANOVA) suggests a high regression coefficient (R2 = 0.9249) for the removal of As(III). Particle size of 0.39 mm; adsorbent's height of 10 cm; metal ion concentration of 30 ppm, and pH 6 are optimized to remove 90.88% As(III) from aqueous solution. HCl is evaluated as a potential solvent for desorption of arsenic from the desorption study.
Samir Mohanta, Manoj Kumar Sahu, Prakash Chandra Mishra, and Anil Kumar Giri
IWA Publishing
Abstract In this study, the removal of hexavalent chromium from aqueous solution were examined using activated charcoal derived from Sapindus trifoliate L fruit biomass in continuous fixed-bed column studies. The activated S. trifoliate L fruit charcoal was prepared by treating the fruit powder using concentrated nitric acid solution. Experiments were performed to investigate the effect of bed height and initial concentration on the breakthrough and saturation times. The breakthrough and saturation time increases with increase in bed height and initial concentration of chromium solutions. The maximum adsorption capacity of S. trifoliate L charcoal for hexavalent chromium was found to be 1.719 mg/g in the bed height 15 cm and initial concentration 10 mg/L, respectively. Column data required at various conditions were explained using Bohart-Adams and Thomas model. Two models were found to be suitable to describe the definite part of the dynamic behaviour of the column with regard to bed-height and initial concentration of hexavalent chromium. On comparison of Adjusted R2 and estimated standard error, the Thomas model was found to best-fitted model and can be used to predict the adsorption of the hexavalent chromium in fixed-bed column studies. Activated S. trifoliate L fruit charcoal was characterised by SEM-EDX and FTIR analysis.
Prakash Chandra Mishra and Anil Kumar Giri
IGI Global
Conventionally, fixed techniques are used for prediction of future time-series data. Subsequently adaptive techniques are used to forecast improved future data. The adaptive techniques are essentially based on ANN and fuzzy logic techniques. It is observed that these techniques also perform poorly when the input data set available is less and when there is abrupt change in the input data set. In this paper the proposed hybrid technique is based on data farming for intermediate data generation and the ANN model for better learning and forecasting. The performance of the proposed model has been tested with actual pertaining to water quality indices of various water samples collected from different sources.
Prakash Chandra Mishra and Anil Kumar Giri
IGI Global
Artificial neural network model is applied for the prediction of the biosorption capacity of living cells of Bacillus cereus for the removal of chromium (VI) ions from aqueous solution. The maximum biosorption capacity of living cells of Bacillus cereus for chromium (VI) was found to be 89.24% at pH 7.5, equilibrium time of 60 min, biomass dosage of 6 g/L, and temperature of 30 ± 2 °C. The biosorption data of chromium (VI) ions collected from laboratory scale experimental set up is used to train a back propagation (BP) learning algorithm having 4-7-1 architecture. The model uses tangent sigmoid transfer function at input to hidden layer whereas a linear transfer function is used at output layer. The data is divided into training (75%) and testing (25%) sets. Comparison between the model results and experimental data gives a high degree of correlation R2 = 0.984 indicating that the model is able to predict the sorption efficiency with reasonable accuracy. Bacillus cereus biomass is characterized using AFM and FTIR.
P.C. Mishra, M. Islam, and R.K. Patel
Informa UK Limited
AbstractThermally treated carbons derived from pomegranate rind were investigated to find the suitability of its application for the removal of nitrate in aqueous solution through adsorption process. Two types of activation namely thermal at 200, 300, and 400°C and boiling treatment (boiling at 150°C) were used for the production of the adsorbents. A control (untreated pomegranate rind (UPR)) was used to compare the adsorption capacity of the adsorbents produced from these processes. The results indicated that the thermally treated carbon derived at the temperature of 400°C showed maximum adsorption capacity in the aqueous solution of nitrate. Batch adsorption studies showed an equilibrium time of 6 h for the thermally treated carbon derived at 400°C. It was observed that the adsorption capacity was higher at lower pH (2–3) and higher value of initial concentration of nitrate (200 mg/L). The equilibrium data fitted better with the Freundlich adsorption isotherm compared to the Langmuir. Kinetic studies of...
Mahamudur Islam, Prakash Chandra Mishra, and Rajkishore Patel
Elsevier BV
Abstract Microwave assisted synthesis of polycinnamamide Mg/Al mixed oxide nanocomposite was carried out and its ability for the removal of arsenate from water through adsorption has been investigated in the present study. Characterization of the nanocomposite was made by FE-SEM, EDX, TGA/DSC, FTIR, XRD and elemental analysis (CHNS) techniques. The effect of various parameters viz. contact time, pH (6–12), initial arsenate concentration (1–50 mg/l), interfering anions, etc. has been investigated to determine the adsorption capacity of PCMA. Adsorption kinetic study showed that the adsorption process followed the first order kinetics and the data revealed that the uptake rate of arsenate was rapid at the beginning and equilibrium was established after 60 min. The Lagergren rate constants and intraparticle diffusion rate constant (at 25 °C) were found to be 0.069 and 0.41 respectively. The maximum adsorption capacity calculated from Langmuir isotherm model was found to be 11.54 mg/g at 25 °C. The mean free energies calculated from D.R. adsorption isotherm were found to be 15.2, 15.5 and 15.8 kJ mol −1 at 25, 35 and 45 °C respectively. Thermodynamic study indicated an endothermic nature of the adsorption and a spontaneous and favorable process. The interfering anions reduced the arsenate adsorption in the order of, carbonate > bicarbonate > phosphate > chloride > sulfate > nitrate.
P. C. Mishra, M. Islam, and R. K. Patel
Informa UK Limited
A waste from the seafood industry, prawn shells, has been used as a water purifier for removing metal ions from water. Chitosan in the presence of natural organic matter obtained from prawn shells waste was used to remove lead from water. The metal uptake by chitosan was successful and rapid and the effect of pH was not prominent. The sorption occurred primarily within 10 minutes. The chitosan surface is not homogeneous, and the adsorption process should be complicated. The sorption of lead by chitosan in prawn shell waste is accomplished by ion exchange and chelating mechanisms. Both the Langmuir and Freundlich isotherms can adequately describe the sorption mechanism. Various anions like chloride, bromide, fluoride, acetate, sulfate, nitrate, and phosphate were found to have a very small effect on the capacity of the chitosan for uptake of lead. Its very high sorption capacity and relatively low production cost and high biocompatibility make chitosan an attractive sorbent for the removal of lead from waste streams.
A. K. Giri, R. K. Patel, S. S. Mahapatra, and P. C. Mishra
Springer Science and Business Media LLC
In this work, removal of arsenic (III) from aqueous solution by living cells (Bacillus cereus), biosorption mechanism, and characterization studies have been reported. B. cereus cell surface was characterized using SEM-EDX and FTIR. Dependence of biosorption on pH of the solution, biosorbent dose, initial arsenic (III) concentration, contact time, and temperature had been studied to achieve optimum condition. The maximum biosorption capacity of living cells of B. cereus for arsenic (III) was found to be 32.42 mg/g at pH 7.5, at optimum conditions of contact time of 30 min, biomass dosage of 6 g/L, and temperature of 30 ± 2 °C. Biosorption data of arsenic (III) are fitted to linearly transformed Langmuir isotherm with R2 (correlation coefficient) > 0.99. The pseudo-second-order model description of the kinetics of arsenic (III) is successfully applied to predict the rate constant of biosorption. Thermodynamic parameters reveal the endothermic, spontaneous, and feasible nature of sorption process of arsenic (III) onto B. cereus biomass. The arsenic (III) ions are desorbed from B. cereus using both 1 M HCl and 1 M HNO3.
A. K. Giri, R. K. Patel, and P. C. Mishra
IWA Publishing
In this work, the biosorption of As(V) from aqueous solutions by living cells of Bacillus cereus has been reported. The batch biosorption experiments were conducted with respect to biosorbent dosage 0.5 to 15 g/L, pH 2 to 9, contact time 5 to 90 min, initial concentration 1 to 10 mg/L and temperature 10 to 40 °C. The maximum biosorption capacity of B. cereus for As(V) was found to be 30.04 at pH 7.0, at optimum conditions of contact time of 30 min, biomass dosage of 6 g/L, and temperature of 30 ± 2 °C. Biosorption data were fitted to linearly transformed Langmuir isotherms with R2 (correlation coefficient) >0.99. Bacillus cereus cell surface was characterized using AFM and FTIR. The metal ions were desorbed from B. cereus using both 1 M HCl and 1 M HNO3. The pseudo-second-order model was successfully applied to predict the rate constant of biosorption.
Mahamudur Islam, Prakash Chandra Mishra, and Rajkishore Patel
Elsevier BV
Microwave-assisted synthesis of the cellulose-carbonated hydroxyapatite nanocomposites (CCHA) with CHA nanostructures dispersed in the cellulose matrix was carried out by using cellulose solution, CaCl(2), and NaH(2)PO(4). The cellulose solution was previously prepared by the dissolution of microcrystalline cellulose in NaOH-urea aqueous solution. Study was carried out to evaluate the feasibility of synthetic CCHA for As(V) removal from aqueous solution. Batch experiments were performed to investigate effects of various experimental parameters such as contact time (5 min - 8h), initial As(V) concentration (1-50mg/L), temperature (25, 35 and 45°C), pH (2-10) and the presence of competing anions on As(V) adsorption on the synthetic CCHA. Kinetic data reveal that the uptake rate of As(V) was rapid at the beginning and equilibrium was achieved within 1h. The adsorption process was well described by pseudo-first-order kinetics model. The adsorption data better fitted Langmuir isotherm. The maximum adsorption capacity calculated from Langmuir isotherm model was up to 12.72 mg/g. Thermodynamic study indicates an endothermic nature of adsorption and a spontaneous and favorable process. The optimum pH for As(V) removal was broad, ranging from 4 to 8. The As(V) adsorption was impeded by the presence of SiO(3)(2-), followed by PO(4)(3-) and NO(3)(-). The adsorption process appeared to be controlled by the chemical process.
Mahamudur Islam, Prakash Chandra Mishra, and Rajkishore Patel
Elsevier BV
Abstract Contamination of drinking water due to fluoride is a severe health hazard. Present investigation aims to remove fluoride by polycinnamamide thorium (IV) phosphate. Polycinnamamide thorium (IV) phosphate was synthesized by co-precipitation method and was characterized by SEM and FTIR. Dependence of adsorption on adsorbent dose, pH of the solution, contact time, temperature had been studied to achieve the optimum condition. The removal of fluoride was 87.6% under optimum conditions. Adsorption kinetic study revealed that the adsorption process followed first order kinetics. Adsorption data were fitted to linearly transformed Langmuir isotherm with correlation coefficient ( R 2 ) > 0.99. Adsorption capacity calculated from Langmuir isotherm was found to be 4.749 mg/g. Thermodynamic parameters were also calculated to study the effect of temperature on removal process. In order to understand the adsorption type, equilibrium data were tested with Dubinin–Radushkevich isotherm.
P.C. Mishra and R.K. Patel
Elsevier BV
In this study, activated carbon, kaolin, bentonite, blast furnace slag and fly ash were used as adsorbent with a particle size between 100 mesh and 200 mesh to remove the lead and zinc ions from water. The concentration of the solutions prepared was in the range of 50-100 mg/L for lead and zinc for single and binary systems which are diluted as required for batch experiments. The effect of contact time, pH and adsorbent dosage on removal of lead and zinc by adsorption was investigated. The equilibrium time was found to be 30 min for activated carbon and 3h for kaolin, bentonite, blast furnace slag and fly ash. The most effective pH value for lead and zinc removal was 6 for activated carbon. pH value did not effect lead and zinc removal significantly for other adsorbents. Adsorbent doses were varied from 5 g/L to 20 g/L for both lead and zinc solutions. An increase in adsorbent doses increases the percent removal of lead and zinc. A series of isotherm studies was undertaken and the data evaluated for compliance was found to match with the Langmuir and Freundlich isotherm models. To investigate the adsorption mechanism, the kinetic models were tested, and it follows second order kinetics. Kinetic studies reveals that blast furnace slag was not effective for lead and zinc removal. The bentonite and fly ash were effective for lead and zinc removal.
P.C. Mishra and R.K. Patel
Elsevier BV
The effectiveness of wheat straw charcoal (WSC) and mustard straw charcoal (MSC) as adsorbents for the removal of nitrate-nitrogen from water has been investigated. Commercial activated carbon (CAC) was used as a standard for comparison. The adsorption effectiveness of MSC was highest followed by CAC and WSC irrespective of the concentration of nitrate-nitrogen in the range of 0-25mg/l. The effects of temperature in the range of 15-28 degrees C on adsorption by WSC and MSC have also been investigated. It was observed that the temperature dependence of the adsorption effectiveness of MSC was higher than that of WSC and CAC. It is concluded that the MSC can be used for the in situ treatment by adsorption of nitrate-nitrogen in underground and surface water.
P.C. Mishra and R.K. Patel
Elsevier BV
The removal efficiency of endosulfan from water by two low cost adsorbents viz. sal wood (Shorea robusta, family-Diptero carpaceae) charcoal and sand along with activated charcoal as the reference was investigated. For the selection of the suitable adsorbent for endosulfan uptake, the maximum adsorption capacity (Q(max)) was chosen as the main parameter. Using linearized forms of equilibrium models like Langmuir, BET, Freundlich, the maximum adsorptive capacities were determined. It was observed that the efficiency for removal of pesticide is higher in activated charcoal with 94% followed by sand 90%. The efficiency of sal wood charcoal is moderately high with 87% which can be regenerated after treatment with dilute HCl and HNO(3). Though the efficiency of sand is better than sal wood charcoal, it cannot be regenerated.