Arrhenius equation involves reaction rate, activation energy, temperature, and frequency factor. When you say Arrhenius parameter, I am assuming you want to know the activation energy and the frequency factor. You need to know the reaction rate at different temperatures.opaka said:Hey, I'm doing an experiment where I run a reaction at three different microwave powers to determine if there is any effect beyond the standard temperature ramp rates. If I know how long it takes the reaction to go from 260 C to 280 C in each of these cases, is there any possible way to extract the Arrhenius parameters? I don't think there is, but my professor is certain he's seen it done, he just can't remember how.
The Arrhenius Equation is a mathematical expression that relates the rate of a chemical reaction to its temperature. It is used to calculate the activation energy of a reaction and predict how changing the temperature will affect the reaction rate.
The Arrhenius Equation assumes that the reaction follows a simple two-step process, with an initial reversible step followed by an irreversible step. It also assumes that the activation energy for the reaction is constant over the temperature range being studied.
A pseudo isotherm is a type of adsorption isotherm that is used to describe the behavior of adsorbates on heterogeneous surfaces, where the adsorption energy varies depending on the surface site. Unlike a regular isotherm, which assumes a uniform adsorption energy, a pseudo isotherm takes into account the heterogeneity of the surface.
The accuracy of pseudo isotherm models can be affected by factors such as the heterogeneity of the surface, the range of temperatures studied, and the assumptions made in the model. Other factors that can impact the accuracy include the type of adsorbate and the presence of other molecules in the system.
The Arrhenius Equation can be used to calculate the activation energy and pre-exponential factor for the adsorption process in pseudo isotherm models. These parameters can then be used to fit the experimental data and determine the best-fit model for the adsorption system.