Anupam Mukherjee

Anupam Mukherjee

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Anupam Mukherjee

Haldia Institute of Technology

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2020 in Journal of Environmental Chemical Engineering
Verified
Journal Article
Closed access
KRKunal Roy
Kunal Roy
AMAnupam Mukherjee
Anupam Mukherjee
Naga Raju MaddelaNaga Raju Maddela
Naga Raju Maddela
SCSagnik Chakraborty
Sagnik Chakraborty
BSBoxiong Shen
Boxiong Shen
LCLuz Cecilia García Cruzatty
Luz Cecilia García Cruzatty

1 October 2020 in Chemical Engineering Journal
Verified
Journal Article
Closed access
AMAnupam Mukherjee
Anupam Mukherjee
AMAditi Mullick
Aditi Mullick
PVPavani Vadthya
Pavani Vadthya
SMSiddhartha Moulik
Siddhartha Moulik
ARAnirban Roy
Anirban Roy

1 September 2020 in Ultrasonics Sonochemistry
Verified
Journal Article
Open access
AMAnupam Mukherjee
Anupam Mukherjee
AMAditi Mullick
Aditi Mullick
RTRavi Teja
Ravi Teja
PVPavani Vadthya
Pavani Vadthya
ARAnirban Roy
Anirban Roy
SMSiddhartha Moulik
Siddhartha Moulik
The current work is a "first of a kind" report on the feasibility and efficacy of hydrodynamic cavitation integrated Advanced Oxidation Processes (AOP's) towards treatment of a real life greywater stream in form of kitchen wastewater. The work has been carried out in a sequential manner starting with geometry optimization of orifice plate (cavitating device) followed by studying the effects of inlet pressure, pH, effluent dilution ratio on degradation of TOC and COD. Under optimized conditions of pH 3, 4 bar pressure, TOC and COD reduction of 18.23 and 25% were obtained using HC for a period of 120 min. To improve the performance of HC, further studies were carried out by integrating H2O2and O3with HC. Using 5 g/h optimum dosage of H2O2, 87.5% reduction in COD was obtained beyond which it started decreasing. Moreover, integrating O3(57.5% reduction in COD) increased the treatment cost. However, a hybrid process (HC + H2O2 + O3) yielded 76.26 and 98.25% reductions in TOC and COD within60 min.The energetics of all the processes and the treatment costs were studied in detail and it was concluded that combined process of HC + H2O2 + O3surpassed by far the performances of HC + H2O2and HC + O3.

24 March 2020 in Environmental Engineering Research
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Journal Article
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SCSAGNIK CHAKRABORTY
SAGNIK CHAKRABORTY
AMAnupam Mukherjee
Anupam Mukherjee
SDSubhabrata Das
Subhabrata Das
NMNaga Raju Maddela
Naga Raju Maddela
SISaima Iram
Saima Iram
PDPapita Das
Papita Das
The natural Fly ash modified with calcium oxide has been employed to eliminate the crystal violet dyestuff from the simulated solution. Herein, the effect of different physicochemical factors like primary dye concentration, sorption contact time, the quantity of the adsorbent, temperature, along with initial simulated solution pH, evaluated for illustrating the mechanism of adsorption. Furthermore, the equilibrium study was conducted, and equilibrium models like Langmuir, Freundlich, and Dubinin- Raduskevich (D-R) were fitted to obtain analytical results to endow with more insight into the process. The results acknowledged that the Langmuir model is well apt and suggests that the adsorption mechanism happens in a monolayer on the fly ash surface. Pseudo-first order, Pseudo-second order, and the intraparticle diffusion model evaluated, and the interpretation suggests the sorption method is obeying the Pseudo-second order and intraparticle diffusion model. The ascertained negative values of Gibbs free energy affirmed the unconstrained process for all symbiotic associations, and the obtained data 78.70 kJ mol–1 enthalpy values manifested that exothermic mechanism was governing the reaction. The above assessment confirms the application of Calcium oxide pre-treated fly ash as a cheap adsorbent to eliminate the crystal violet dyestuff from the simulated solution.

22 April 2020 in Applied Water Science
Verified
Journal Article
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RDRadha Das
Radha Das
AMAnupam Mukherjee
Anupam Mukherjee
ISIshita Sinha
Ishita Sinha
KRKunal Roy
Kunal Roy
BDBinay K. Dutta
Binay K. Dutta
The response surface methodology has been extended to study the adsorption of malachite green dye (MG) on Indian Neem leaf powder (NLP),Azadirachta indica. The study was experimented by varying the solution concentration from 10 to 100 mg/l. The removal percentage of MG was determined by spectrophotometer at wavelength of 618 nm. Design Expert 11.0 was used as a tool to study the optimal conditions of MG adsorption (applying 2-factorial interaction model of central composite design) and evaluation of interaction effects of different operating parameters including pH, time, solute concentration, temperature and adsorbent dosage. Numerical optimization helped to identify the optimal conditions for achieving the targeted dye removal of 95.493% when the pH, time, solute concentration, temperature and adsorbent amount were set at the range of 6.868, 36.4 min, 27.899 mg/l, 308.477 K, and 4.3475 g/l respectively. The experimental results indicate that the maximum adsorption capacity of NLP depends on various operating parameter like, pH, dye concentration, particle size of adsorbents and it’s activation. It was noted that adsorption capacity of the NLP increases from 33.33 to 66.72 mg/g when it was activated with dilute HCl. The higher correlation coefficient value (R2) of Langmuir isotherm 0.996 and lowerpvalue (0.01203) indicate the fitness of the response surface 2FI model developed. Kinetic studies displayed the suitability of pseudo second order reaction for this adsorption process. The thermodynamic study show that the sorption process is exothermic and spontaneous in nature. It was observed that the adsorbent NLP in the form of fine powder are very effective for the removal of MG from its aqueous solution. The satisfactory values of regression coefficients at different temperature, and fittings of adsorption isotherms indicate that Indian NLP is a promising adsorbent for treatment of textile dyes.

10 October 2017 in Soft Computing
Verified
Journal Article
Closed access
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DJDipak Kumar Jana
Dipak Kumar Jana
SPSutapa Pramanik
Sutapa Pramanik
PSPalash Sahoo
Palash Sahoo
AMAnupam Mukherjee
Anupam Mukherjee