IITKGP

Research Areas

  • Computational System Biology
  • Crystallization Engineering
  • Multi-objective Optimization
The research at Crystallization and Biosystems Engineering Laboratory lies in the general areas of Process Systems Engineering. We are involved in the development and integrated application of various tools of modeling, analysis, optimization and control for crystallization and bioprocess systems.

Computational System Biology: The goal of computational systems biology is to use computational and mathematical approaches to understand the complex interactions within biological systems and use that knowledge to design microbial strains with enhanced capability. We focus on developing and analyzing genome-scale metabolic models for enhanced production of biofuels/biochemicals using the synergy of systems biology and process systems engineering approaches.

Crystallization Process Engineering: We work on all aspects of process engineering related to crystallization of organic chemicals and pharmaceuticals so as to achieve crystal products with target attributes such as size distribution, polymorphic form, purity, etc. We develop models based on population balance equations for optimization and control of cooling, anti-solvent, and ultrasound-assisted crystallization processes. We also study co-crystallization of pharmaceuticals to enhance their property.

Multi-objective Optimization: In many realistic engineering problems, objectives under consideration conflict with each other and solution to such a problem is represented by a set of solutions belonging to Pareto Optimal Front. We use evolutionary algorithms, such as genetic algorithms, for solution of multi-objective optimization problems that appear in chemical and biochemical processes.
 
  • Sonofragmentation of rectangular plate-like crystals: Bivariate population balance modeling and experimental validation Das A., Bhoi S. , Sarkar D. , Kumar J. By Crystal Growth & Design 20 5424-5434 (2020)
  • Particle engineering by optimization for the unseeded batch cooling crystallization of L-asparagine monohydrate Bhoi S., Lenka M. , Sarkar D. By CrystEngComm 19 6373-6382 (2017)
  • Hybrid finite volume and Monte Carlo method for solving multidimensional population balance equations in crystallization processes Bhoi S., Sarkar D. By Chemical Engineering Science 217 115511-15 (2020)
  • Sonofragmentation of two-dimensional plate-like crystals: Experiments and Monte Carlo simulations Bhoi S., Das A. , Kumar J. , Sarkar D. By Chemical Engineering Science 203 12-27 (2019)
  • Solubility measurements and thermodynamic modeling of pyrazinamide in five different solvent-antisolvent mixtures Maharana A., Sarkar D. By Fluid Phase Equilibria 497 33-54 (2019)
  • Production of the metastable -polymorphic form of pyrazinamide by isothermal internal seeding anti-solvent crystallization Digarse H., Sarkar D. By Journal of Crystal Growth 526 - (2019)
  • Combined cooling and antisolvent crystallization of L-asparagine monohydrate Lenka M., Sarkar D. By Powder Technology 334 106-116 (2018)
  • Constructing regions of attainable sizes and achieving target size distribution in a batch cooling sonocrystallization process Bhoi S., Sarkar D. By Ultrasonics - Sonochemistry 42 162-170 (2018)
  • Improving crystal size distribution by internal seeding combined cooling/antisolvent crystallization with a cooling/heating cycle Lenka M., Sarkar D. By Journal of Crystal Growth 486 130-136 (2018)
  • Nucleation kinetics from metastable zone widths for sonocrystallization of L-phenylalanine Mastan T., Lenka M. , Sarkar D. By Ultrasonics Sonochemistry 36 497-506 (2017)

Principal Investigator

  • Continuous Crystallization for Production of Active Pharmaceutical Ingredients with Desired Polymorphic Form and Crystal Size Distribution Science and Engineering Research Board (SERB)

Ph. D. Students

Ajit Singathia

Area of Research: Biosystems Engineering

Gargi

Area of Research: Crystallization Engineering

Ravi Ranjan Kumar

Area of Research: Process & Product Development

Sreya Banerjee

Area of Research: Optimization