Doraiswami Ramkrishna

ORCID: 0000-0001-8615-5203
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About
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Research Areas
  • Microbial Metabolic Engineering and Bioproduction
  • Gene Regulatory Network Analysis
  • Crystallization and Solubility Studies
  • Minerals Flotation and Separation Techniques
  • Coagulation and Flocculation Studies
  • Fluid Dynamics and Mixing
  • Biofuel production and bioconversion
  • nanoparticles nucleation surface interactions
  • Advanced Control Systems Optimization
  • Process Optimization and Integration
  • Innovative Microfluidic and Catalytic Techniques Innovation
  • Evolution and Genetic Dynamics
  • Bacterial Genetics and Biotechnology
  • Viral Infectious Diseases and Gene Expression in Insects
  • Theoretical and Computational Physics
  • Protein Structure and Dynamics
  • Enzyme Catalysis and Immobilization
  • Material Dynamics and Properties
  • Mineral Processing and Grinding
  • Particle Dynamics in Fluid Flows
  • Advanced Mathematical Modeling in Engineering
  • Advanced Thermodynamics and Statistical Mechanics
  • Nonlinear Dynamics and Pattern Formation
  • thermodynamics and calorimetric analyses
  • Surfactants and Colloidal Systems

Purdue University West Lafayette
2016-2025

Davidson College
2019-2021

Defence Research and Development Laboratory
2012-2016

Pacific Northwest National Laboratory
2016

National Center for Genetic Engineering and Biotechnology
2014

John Wiley & Sons (United States)
2014

Indiana University – Purdue University Indianapolis
2006-2014

Bioengineering Center
2014

Indian Institute of Technology Bombay
2012

Shanghai Jiao Tong University
2011

10.1515/revce.1985.3.1.49 article EN Reviews in Chemical Engineering 1985-01-01

Cybernetic models, developed earlier by the authors, have been evaluated experimentally for growth of Klebsiella oxytoca in batch cultures using mixed substrates from glucose, xylose, arabinose, lactose, and fructose. Based entirely on information procured single substrates, models accurately predict without further parameter fitting, diauxic automatically predicting order which are consumed. Even triauxic a mixture lactose is predicted model based substrate data. Growth glucose-fructose...

10.1002/bit.260280715 article EN Biotechnology and Bioengineering 1986-07-01

10.1016/s0009-2509(01)00386-4 article EN Chemical Engineering Science 2002-02-01

Abstract The internal regulatory processes, which underlie a variety of behavior in microbial growth on multiple substrates, are viewed as manifestation an invariant strategy to optimize some goal the cells. A goal‐seeking or cybernetic model is proposed here, with optimization obased short‐term perspective response environment. parameters determined from data single substrates. predicts entire range substrates simultaneous utilization all sugars sequential pronounced diauxic lags. It shown...

10.1002/bit.260261103 article EN Biotechnology and Bioengineering 1984-11-01

Abstract Mathematical models for microbial growth in batch and continuous cultures are formulated. The have been referred to as distributed since the population a culture is looked upon protoplasmic mass uniformly throughout culture. Growth regarded increase this by conversion of medium components into biological metabolic products. Two sets presented. first arise from introducing additional considerations model proposed Monod account stationary phase decline These unstructured, they do not...

10.1002/bit.260090203 article EN Biotechnology and Bioengineering 1967-04-01

Abstract Experimental measurements of transient drop size distributions in a stirred liquid‐liquid dispersion (with low dispersed phase fraction) have been used concomitantly with population balance theory to recover the transition probability droplet breakage, based on similarity concept. The data remarkably uphold proposed hypothesis, and estimated function displays same qualitative trend as model due Narsimhan et al. (1979).

10.1002/aic.690260614 article EN AIChE Journal 1980-11-01

Abstract Photographic measurements of transient drop‐size distributions from stirred liquid‐liquid systems low dispersed phase fraction in a batch vessel confirm consistency with similarity behavior population balance established earlier by Narsimhan et al. (1980). Moreover, breakage functions are presented generalized dimensionless form accounting for dependence on physical properties the system and power input through stirring. This information is essential predicting systems. Experimental...

10.1002/aic.690300315 article EN AIChE Journal 1984-05-01

Abstract A simulation procedure is presented in this work which can analyze the behavior of any dispersed phase system consisting particles whose random specified terms probability functions. The distinguishes itself from its predecessors being free arbitrary discretization time or other parameter along evolves, and ability to predict randomly behaving small populations. Where population balance equations, describe particulate systems, cannot be readily solved, technique herein represents an...

10.1002/aic.690230617 article EN AIChE Journal 1977-11-01

Abstract A cybernetic framework is presented which views microbial response in multiple substrate environments as a judicious investment of cellular resources synthesizing different key proteins according to an optimal regulatory strategy. mathematical model developed within the for diauxic growth Klebsiella pneumoniae on mixture D ‐glucose and ‐xylose. The “bang–bang” policy describes well experimental observations obtained using fermenter coupled Apple II microcomputer. Striking variations...

10.1002/bit.260270102 article EN Biotechnology and Bioengineering 1985-01-01

Abstract An analytical solution is obtained to the extended Graetz problem with prescribed wall flux, based on a selfadjoint formalism resulting from decomposition of convective diffusion equation into pair first‐order partial differential equations. The simple, computationally efficient and in striking contrast incomplete numerical efforts past.

10.1002/aic.690260511 article EN AIChE Journal 1980-09-01

Abstract Flux balance analysis (FBA) in combination with the decomposition of metabolic networks into elementary modes has provided a route to modeling cellular metabolism. It is dependent, however, on availability external fluxes such as substrate uptake or growth rate before estimates can become available intracellular fluxes. The framework classically does not allow regulation formulation dynamic models except through measurement cybernetic approach Ramkrishna and coworkers provides for...

10.1002/btpr.73 article EN Biotechnology Progress 2008-09-01
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