Mass Action Model Applied to the Thermodynamic Properties of Transfer of Nonionic Copolymers from Water to the Aqueous Surfactant Solutions

2004 ◽  
Vol 108 (4) ◽  
pp. 1189-1196 ◽  
Author(s):  
R. De Lisi ◽  
G. Lazzara ◽  
S. Milioto ◽  
N. Muratore
Keyword(s):  
Thermodynamic Properties ◽  
Mass Action ◽  
Surfactant Solutions ◽  
Mass Action Model ◽  
Action Model

Thermodynamic properties of alkyldimethylamine oxides in water. Application of a mass-action model for micellization

1983 ◽  
Vol 87 (8) ◽  
pp. 1397-1406 ◽  
Author(s):  
Jacques E. Desnoyers ◽  
Gaston Caron ◽  
Rosario DeLisi ◽  
David Roberts ◽  
Alain Roux ◽  
...  
Keyword(s):  
Thermodynamic Properties ◽  
Mass Action ◽  
Water Application ◽  
Mass Action Model ◽  
Action Model

A study of micellization and the thermodynamic properties of a series of aqueous sodium cyclohexyl alkanoate surfactants

2000 ◽  
Vol 78 (9) ◽  
pp. 1222-1232
Author(s):  
Judith A MacInnis ◽  
D Gerrard Marangoni ◽  
R Palepu
Keyword(s):  
Surface Tension ◽  
Thermodynamic Properties ◽  
Speed Of Sound ◽  
Mass Action ◽  
Aggregation Numbers ◽  
Mass Action Model ◽  
Efficiency And Effectiveness ◽  
Action Model ◽  
Ft Ir ◽  
Density Surface

The micellization and the thermodynamic properties of a series of sodium cyclohexyl alkanoates of the general formula C6H11(CH2)nCOONa (where n = 1, 2, 3, 4) were investigated employing conductivity, density, surface tension, viscosity, speed of sound, luminescence probing experiments, and Fourier transform infrared (FT-IR) spectroscopy. The critical micelle concentrations (cmcs) and the aggregation numbers indicate that these surfactants have high cmc values and low aggregation numbers when compared to other single-headed surfactants (most notably the sodium alkanoates). Thermodynamic properties, obtained from the mass action model, indicate that micellization is spontaneous and entropically driven. The saturation area per molecule, the free energies of adsorption, and the efficiency and effectiveness of adsorption were determined through surface tension measurements. The presence of the cylcohexyl ring appears to influence the surface properties of micellization. Both the effectiveness and the efficiency of these surfactants, in lowering the surface tension of water, are lower than that of the straight chain alkanoates.Key words: thermodynamics, micellization, aggregation numbers, speed of sound, and spectroscopy.

Effect of geometry on the thermodynamic properties of micellar systems: trialkylamine oxides in water

1986 ◽  
Vol 64 (8) ◽  
pp. 1573-1580 ◽  
Author(s):  
Gaston Caron ◽  
Nadia Gélinas ◽  
Jacques E. Desnoyers
Keyword(s):  
Thermodynamic Properties ◽  
Mass Action ◽  
Micellar Properties ◽  
Amine Oxides ◽  
Micellar Systems ◽  
Trimethylamine Oxide ◽  
Aggregation Numbers ◽  
Mass Action Model ◽  
Action Model ◽  
Geometrical Factors

The apparent molar volumes, heat capacities, relative enthalpies, and isentropic compressibilities of symmetrical trialkylamine oxides and cyclohexyldimethylamine oxide were measured in water at 25 °C. The data were in most cases analyzed with a mass-action model which was previously developed (J. Phys. Chem. 87, 1397 (1983)) for micellar systems. Trimethylamine oxide shows no sign of micellization while the three next members of this homologous series and cyclohexyldimethylamine oxide form aggregates with relatively low aggregation numbers. The thermodynamic data were compared with those of assymmetrical amine oxides to investigate the effect of geometry on the micellar properties. The thermodynamic properties of the solutes in the pre-micellar region show a very good group additivity which is independent of geometry. On the other hand, with symmetrical isomers, the CMCs are much larger, the aggregation numbers smaller and the thermodynamic functions of micellization larger. These geometrical factors can be taken advantage of for thermal energy storage.

Modelling and Experimental Studies of Sorption in the Near Field of a Cementitious Repository

1989 ◽  
Vol 176 ◽  
Author(s):  
P.L. Brown ◽  
A. Haworth ◽  
R. McCrohon ◽  
S.M. Sharland ◽  
C.J. Tweed
Keyword(s):  
Near Field ◽  
Experimental Studies ◽  
Mass Action ◽  
Chemical Equilibria ◽  
Transport Code ◽  
Mass Action Model ◽  
Action Model ◽  
Modelling Studies ◽  
Simple Mass

ABSTRACTA joint experimental and modelling programme is reported, which aims to improve our understanding of sorption processes of radionuclides onto repository materials. Diffusion/sorption experiments of sorption onto cement are described, although results are limited at this stage. The modelling studies use the coupled chemical equilibria and transport code CHEQMATE to simulate some of these experiments. The chemical part of the model is based on a simple mass-action model of sorption. More detailed comparisons will continue when the experiments are terminated, and the samples are sectioned.

Inferring gene regulatory networks using a time-delayed mass action model

2016 ◽  
Vol 14 (04) ◽  
pp. 1650012
Author(s):  
Yaou Zhao ◽  
Mingyan Jiang ◽  
Yuehui Chen
Keyword(s):  
Gene Regulatory Networks ◽  
Regulatory Networks ◽  
Classical Model ◽  
Population Based ◽  
Mass Action ◽  
Mass Action Model ◽  
Action Model ◽  
Gene Regulatory ◽  
Efficient Learning ◽  
Delay Differential

This paper demonstrates a new time-delayed mass action model which applies a set of delay differential equations (DDEs) to represent the dynamics of gene regulatory networks (GRNs). The mass action model is a classical model which is often used to describe the kinetics of biochemical processes, so it is fit for GRN modeling. The ability to incorporate time-delayed parameters in this model enables different time delays of interaction between genes. Moreover, an efficient learning method which employs population-based incremental learning (PBIL) algorithm and trigonometric differential evolution (TDE) algorithm TDE is proposed to automatically evolve the structure of the network and infer the optimal parameters from observed time-series gene expression data. Experiments on three well-known motifs of GRN and a real budding yeast cell cycle network show that the proposal can not only successfully infer the network structure and parameters but also has a strong anti-noise ability. Compared with other works, this method also has a great improvement in performances.

Optimal determination of steric mass action model parameters for β-lactoglobulin using static batch experiments

2010 ◽  
Vol 1217 (26) ◽  
pp. 4267-4277 ◽  
Author(s):  
Tilman Barz ◽  
Verena Löffler ◽  
Harvey Arellano-Garcia ◽  
Günter Wozny
Keyword(s):  
Mass Action ◽  
Model Parameters ◽  
Batch Experiments ◽  
Mass Action Model ◽  
Action Model ◽  
Β Lactoglobulin
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