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Optimizing Experimental Conditions Concentration Dependence

Optimizing the permeability measurements to avoid adsorption to plastic, filters, or accumulation within the cell monolayer seems highly relevant for increasing the [Pg.144]


Eq. 1 predicts that the average droplet size depends on the gas and solvent flow rate. It also predicts that the average droplet size will depend on the namre of the solvent, because of the dependency on the density, surface tension, and viscosity of the nebulized liquid. The initial droplet size formed in the nebuhzer has little to do with the property of the analyte as it predominantly contains mobile phase. The final droplet size in the scattering chamber is dependent on the analyte concentration. When optimizing detector conditions, the experimental parameters that can be adjusted are nebulizer gas flow rate, mobile phase flow rate, and drift mbe temperature. [Pg.660]

The optimization of the experimental conditions in displacement chromatography for maximiun production rate has been studied less than the optimization of overloaded elution, reflecting the lesser importance of this method in industrial practice. Frenz et al [52] performed an experimental study of the dependence of the throughput on the operational parameters in reversed-phase displacement systems. They demonstrated that both the nature and the concentration of the displacer must be appropriately selected to optimize the throughput. Jen and Pinto [53] have used the ideal model, and the fe-transform approach to maximize... [Pg.903]

Kinetic modeling used for process development and process optimization has a historical tradition. Quite often power law models are still used to describe kinetic data. Such phenomenological expressions, although useful for some applications, in general are not reliable, as they do not predict reaction rate, concentration and temperature dependence outside of the range of the studied experimental conditions. Thus, in catalysis, due to the complex nature of this phenomenon, adsorption and desorption of reactants as well as several steps for surface reactions should be taken into account. Models based on the knowledge of elementary processes provide reliable extrapolation outside of the studied interval and also make the process intellectually better understood. [Pg.42]

In order to obtain both a homogeneous distribution of the metal complex and the formation of a smooth film, the experimental conditions must be optimized carefully. Low concentrations of a metal complex (<1-10 wt%) in a polymer can result in mononuclear distribution. The polymer appears in this case to function as a solvent that minimizes complex—complex interaction by separation. Depending on the solubility of the metal complex in the solvent used for casting, higher concentrations (>1-10 wt%) can result in aggregation or microcrystal formation. [Pg.326]


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Concentrated dependence

Concentration conditions

Concentration dependence

Concentration dependency

Condition dependent

Conditional optimal

Experimental Concentration Dependences

Experimental conditions

Experimental optimization

Optimal conditioning

Optimal conditions

Optimality conditions

Optimization conditions

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