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Dive into the research topics where Papita Das is active.

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Featured researches published by Papita Das.


Ecotoxicology and Environmental Safety | 2015

Optimization and modelling of synthetic azo dye wastewater treatment using Graphene oxide nanoplatelets: Characterization toxicity evaluation and optimization using Artificial Neural Network

Priya Banerjee; Shubhra Sau; Papita Das; Aniruddha Mukhopadhayay

Azo dyes pose a major threat to current civilization by appearing in almost all streams of wastewater. The present investigation was carried out to examine the potential of Graphene oxide (GO) nanoplatelets as an efficient, cost-effective and non-toxic azo dye adsorbent for efficient wastewater treatment. The treatment process was optimized using Artificial Neural Network for maximum percentage dye removal and evaluated in terms of varying operational parameters, process kinetics and thermodynamics. A brief toxicity assay was also designed using fresh water snail Bellamya benghalensis to analyze the quality of the treated solution. 97.78% removal of safranin dye was obtained using GO as adsorbent. Characterization of GO nanoplatelets (using SEM, TEM, AFM and FTIR) reported the changes in its structure as well as surface morphology before and after use and explained its prospective as a good and environmentally benign adsorbent in very low quantities. The data recorded when subjected to different isotherms best fitted the Temkin isotherm. Further analysis revealed the process to be endothermic and chemisorption in nature. The verdict of the toxicity assay rendered the treated permeate as biologically safe for discharge or reuse in industrial and domestic purposes.


3 Biotech | 2017

Production of biodiesel from microalgae through biological carbon capture: a review

Madhumanti Mondal; Shrayanti Goswami; Ashmita Ghosh; Gunapati Oinam; Onkar Nath Tiwari; Papita Das; Kalyan Gayen; Mrinal Kanti Mandal; Gopinath Halder

Gradual increase in concentration of carbon dioxide (CO2) in the atmosphere due to the various anthropogenic interventions leading to significant alteration in the global carbon cycle has been a subject of worldwide attention and matter of potential research over the last few decades. In these alarming scenario microalgae seems to be an attractive medium for capturing the excess CO2 present in the atmosphere generated from different sources such as power plants, automobiles, volcanic eruption, decomposition of organic matters and forest fires. This captured CO2 through microalgae could be used as potential carbon source to produce lipids for the generation of biofuel for replacing petroleum-derived transport fuel without affecting the supply of food and crops. This comprehensive review strives to provide a systematic account of recent developments in the field of biological carbon capture through microalgae for its utilization towards the generation of biodiesel highlighting the significance of certain key parameters such as selection of efficient strain, microalgal metabolism, cultivation systems (open and closed) and biomass production along with the national and international biodiesel specifications and properties. The potential use of photobioreactors for biodiesel production under the influence of various factors viz., light intensity, pH, time, temperature, CO2 concentration and flow rate has been discussed. The review also provides an economic overview and future outlook on biodiesel production from microalgae.


Desalination and Water Treatment | 2015

Assessment on linear and non-linear analysis for the estimation of pseudo-second-order kinetic parameters for removal of dye using graphene nanosheet

Papita Das; Priya Banerjee; Rishi Rathour; Rahul Misra

AbstractGraphene nanosheets were used as adsorbent for the removal of crystal violet dye from its aqueous solution. The equilibrium kinetic data were analyzed using pseudo-second-order kinetic model. A comparison between linear and non-linear methods of estimating the kinetic parameters was examined. Four pseudo-second-order kinetic linear equations have been discussed here. The coefficient of determination and chi-square test were employed as methods of error analysis for determining the best-fitting equation. The results revealed that the non-linear method proved to be a significantly better alternative for obtaining the kinetic parameters in comparison with the linear form of the model. In addition, the test was found to be a better method for determination of the best-fitting model.


Desalination and Water Treatment | 2015

Assessment of water quality index using cluster analysis and artificial neural network modeling: a case study of the Hooghly River basin, West Bengal, India

Keka Sinha; Papita Das

AbstractRiver Hooghly, considered as an important tributary of the River Ganga, has been affected by indiscriminate discharging of polluted and untreated sewage sludge and industrial waste into the waterways. The assessment of water quality for natural river waters was done using a water quality index (WQI), developed by DELPHI and the Council of Ministers of the Environment methods. These two methods reflect the quality of the water measured with respect to its pollution level. Multivariate statistical techniques, such as cluster analysis, were applied to the data-set on water quality of the Hooghly River (India) which was generated during the years 2002–2008 controlling at eight different sites for five parameters. The relationships among the stations are highlighted by cluster analysis to characterize the WQI. The study represents a computer-simulated artificial neural network model for the evaluation of the relationship between the different parameters of water bodies collected at different stations a...


Indian Chemical Engineer | 2014

Optimization of Copper Adsorption by Soil of Polluted Wasteland using Response Surface Methodology

Arpita Ghosh; Papita Das

Abstract Copper is one of the heavy metals, which are essential but toxic at higher concentrations. High uptakes of copper may cause liver and kidney damage and even death. This study was performed to investigate copper reduction using soil as an adsorbent. A multi-step response surface methodology was applied for the maximum reduction of Cu(II) from aqueous solution to optimize the parameters that had an effect on the adsorption studies. A two-level, three-factor (23) full factorial central composite design (CCD) using Design Expert Version 7.0.0 (Stat Ease, USA) was used for the optimization of the adsorption process parameters. From the CCD design it was observed that the optimum reduction of copper was 96.22% at pH 5.50, 31.59 g l−1 of adsorbent and 90 min contact time. The deviation between the experimental and theoretical results was 0.42%.


Research journal of textile and apparel | 2012

INatural Blue Dye from Clitoria Ternatea: Extraction and Analysis Methods

Keka Sinha; Papita Das; Siddhartha Datta

An increased environmental awareness of health hazards caused by synthetic dyes has led to revival of natural dyes. Dyes obtained from natural sources have emerged as important substitutes for synthetic dyes. Color-yielding plants such as butterfly pea flowers have been used to study color extraction and can be used as dyeing material for coloring industry. Analytical studies, such as UV–VIS spectrophotometer analysis and dye concentration analysis, are performed on extracted dye using flower petals. In this study, aqueous extractions of dye from flowers were carried out in the following conditions to obtain optimization characterization: time of extraction (30-180 minutes), temperature (60-90°C), amount of flowers (0.1-2gm) and pH (2-10). It was observed that dye concentration increases gradually at higher temperature and for longer time.


Journal of Thermodynamics | 2016

Treatment of Wastewater from a Dairy Industry Using Rice Husk as Adsorbent: Treatment Efficiency, Isotherm, Thermodynamics, and Kinetics Modelling

Uttarini Pathak; Papita Das; Prasanta Kumar Banerjee; Siddhartha Datta

Effluent from milk processing unit contains soluble organics, suspended solids, and trace organics releasing gases, causing taste and odor, and imparting colour and turbidity produced as a result of high consumption of water from the manufacturing process, utilities and service section, chemicals, and residues of technological additives used in individual operations which makes it crucial matter to be treated for preserving the aesthetics of the environment. In this experimental study after determination of the initial parameters of the raw wastewater it was subjected to batch adsorption study using rice husk. The effects of contact time, initial wastewater concentration, pH, adsorbent dosage, solution temperature and the adsorption kinetics, isotherm, and thermodynamic parameters were investigated. The phenomenon of adsorption was favoured at a lower temperature and lower pH in this case. Maximum removal as high as 92.5% could be achieved using an adsorbent dosage of 5 g/L, pH of 2, and temperature of 30°C. The adsorption kinetics and the isotherm studies showed that the pseudo-second-order model and the Langmuir isotherm were the best choices to describe the adsorption behavior. The thermodynamic parameters suggested that not only was the adsorption by rice husk spontaneous and exothermic in nature but also the negative entropy change indicated enthalpy driven process.


Desalination and Water Treatment | 2016

Assessment of water quality of Damodar River in South Bengal region of India by Canadian Council of Ministers of Environment (CCME) Water Quality Index: a case study

Dibyajyoti Haldar; Seema Halder; Papita Das; Gopinath Halder

AbstractRiver Damodar situated in the South Bengal region of India is the main source of water for the surrounding industries and agricultural places. The objective of the present study is to evaluate the water quality of Damodar River in terms of an index under the influence of several physical and chemical parameters by using Canadian Council of Ministers of Environment Water Quality Index (CCME WQI) method as the river has been subjected to enormous contamination in recent times. Water samples have been procured from eight different locations along the river bank in the pre-monsoon, monsoon, and post-monsoon for the entire period of 2012. Immensely complex data were coined into a single term for the sake of convenience using CCME WQI method. This index consists of three elements: scope, frequency, and amplitude. Besides this, the seasonal variation of different water quality parameters like pH, total dissolved solid, total suspended solid, conductivity, turbidity, dissolved oxygen, chemical oxygen dema...


Korean Journal of Chemical Engineering | 2017

Thermodynamics and kinetics study of defluoridation using Ca-SiO2-TiO2 as adsorbent: Column studies and statistical approach

Swapnila Roy; Papita Das; Shubhalakshmi Sengupta

Fluoride contamination of water is a potential health and environmental hazard worldwide. This study focuses on defluoridation efficiency in aqueous system by novel adsorbents, i.e., calcium impregnated silica (Ca-SiO2) and calcium impregnated silica combined with titanium dioxide (Ca-SiO2-TiO2). Comparative batch study was carried out using both adsorbents Ca-SiO2 and Ca-SiO2-TiO2 for fluoride removal efficiency in different experimental conditions where it was observed that chemically modified Ca-SiO2-TiO2 acted as a better adsorbent for defluoridation than Ca-SiO2. Thus, further batch isotherm and kinetics studies were performed using Ca-SiO2-TiO2. The phenomenon of fluoride ion uptake is realized by Langmuir and Freundlich isotherm model. Langmuir isotherm shows satisfactory fit to the experimental data. The rate of adsorption shows that the pseudo-second-order rate fitted the adsorption kinetics better than the pseudo-first-order rate equation. The mechanism of adsorption process was illustrated by calculating Gibbs free energy, enthalpy and entropy from thermodynamic studies. To further confirm the applicability of the adsorbent, a fixed bed study was carried out in column mode. Thomas and bed-depth-service-time (BDST) model were well-fitted to the experimental results. The optimal operating conditions of defluoridation were found by using response surface methodology (RSM) with the help of Design Expert Software. The maximum percentage of fluoride removal was 92.41% in case of calcium impregnated silica combined with titanium dioxide (Ca-SiO2-TiO2). Thus, it may be concluded that chemically synthesized Ca-SiO2-TiO2 could be used as an environmentally and economically safe adsorbent for defluoridation of waste water.


Desalination and Water Treatment | 2016

Assessment on the modelling of the kinetic parameter for the removal of crystal violet dye using Ag-soil nanocomposite: linear and non-linear analysis

M.K. Satapathy; Papita Das

In recent decades, handling of bio-hazardous dyes such as crystal violet in various discharges is a growing concern which can affect the global aquatic scenario. A low-cost environment-friendly nanocomposite was synthesized for the removal of crystal violet dye from industrial effluent solution. The efficacy of plant(Azadirachta indica)-mediated synthesized silver nano soil composite as an adsorbent was evaluated in a batch reactor. A composite model system was introduced linear and non-linear responsiveness towards the kinetics of adsorption of crystal violet onto Ag-nano soil composite during batch experimental study. The equilibrium kinetics was analysed using pseudo-second-order kinetic model system. The coefficient of determination and chi-square tests were implemented to explore the best fit of the equation. The experimental data were better represented by non-linear model system than that of linear model system.

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Suvendu Manna

Indian Institute of Technology Kharagpur

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