Kinetics and selected variables (temperature, particle size and time) for extraction of Terminalia Catappa L Kernel Oil (TCKO) were investigated using solvent extraction. Kinetic models studied were: parabolic diffusion, power law, hyperbolic, Elovich and pseudo-second-order. In ascending order, the best-fitted models at the optimum temperature and oil yield were Elovich’s model, hyperbolic...

For large and complex reacting systems, computational efficiency becomes a critical issue in process simulation, optimization and model-based control. Mechanism simplification is often a necessity to improve computational speed. We present a novel approach to simplification of reaction networks that formulates the model reduction problem as an optimization problem and solves it using geneti...

The folding kinetics of a seven-residue long alanine polypeptide are investigated using a fully atomic protein model and molecular dynamics simulations. The peptide adopts helical conformations in the native state when simulated in two different implicit solvents: a model with a distance dependent dielectric constant and the generalized Born (GB) model. Although the two solvation models correct...

this paper discusses the biosorption of ni(ii) ions from aqueous solutions by bacillus sphaericus biomass. the biosorption process was affected by the solution ph, biomass concentration, contact time, temperature and initial ni(ii) concentration respectively. the sorption kinetics and equilibrium data were described well with the pseudo-second order kinetic model and the freundlich isotherm mod...

in this study, nano-tio2 was employed for the adsorption of chloroform from aqueous solution in batch equilibrium experiments to investigate its adsorption properties. the effects of ph, initial chloroform concentration and nano-tio2 dosage were also investigated. optimal conditions for chloroform removal by nano-tio2 have been then identified. results of equilibrium experiments showed that the...

the application of neural networks to model a laboratory scale inverse fluidized bed reactor has been studied. a radial basis function neural network has been successfully employed for the modeling of the inverse fluidized bed reactor. in the proposed model, the trained neural network represents the kinetics of biological decomposition of organic matters in the reactor. the neural network has b...

In this work, kinetics and thermodynamics of esterification reaction were studied. This research investigated the esterification reaction between methanol and acidified oil catalyzed by sulfonated cation exchange resin and proposed a new rate equation for consideration of kinetics of this reaction according to the Langmuir-Hinshelwood mechanism. Thermodynamics and kinetics parameters were calcu...

Ash-based catalysts, as low-cost materials, are applicable in biomass pyrolysis and play a role lowering the activation energy. This study enriched insights of different method catalyst addition into catalytic pyrolysis. The rice husk ash pellets allows for better solid-solid contact between catalyst, since common methods were only solid mixing. research aimed to investigate thermal characteris...