Resumen

BURGOS-HUEZO, Humberto; GARFIAS-SOLIZ, Jaime; MARTEL, Richard  y  SALAS-GARCIA, Javier. Regression analysis: Breakthrough curve performance approach in a dynamic system. Ing. invest. y tecnol. [online]. 2024, vol.25, n.1, e-1828.  Epub 07-Abr-2025. ISSN 2594-0732.  https://doi.org/10.22201/fi.25940732e.2024.25.1.003.

The presence of arsenic dissolved in water for human consumption is a health problem of global importance. The objective of this work was to evaluate the impact that linear (RL) and nonlinear regression analysis have on the estimation of the adsorption parameters of various mathematical models, to explain the process of removal of pollutants from the aqueous phase. For this, chemically modified zeolites were used for the adsorption of As(V) in a dynamic fixed-bed column system. The adsorption kinetics was analyzed with the Thomas and Yan linear and non-linear models and the Dispersion Advection Equation (EAD). The results obtained from the linear regression show the low suitability of the Yan linear model to represent the experimental breakthrough curve, possibly due to a greater sensitivity to the linearization process of the model. In the non-linear regression (RNL), the best fit model was evaluated using six fit indices, showing, from this, the existence of a variation in the predicted breakthrough curve, product of an error distribution other than starting from each of them. There is divergence in the parametric estimation from the modeling approach used, linear or non-linear, derived from the changes induced in the DDE by the linearization of the models. The suitability to explain the adsorption process follows the order: TNL> EAD> YNL> Thomas linear (TL)> Yan linear (YL). It can be concluded that nonlinear regression was more appropriate for the parametric estimation process of the adsorption models.

Palabras llave : Arsenic; sorption; zeolite; dynamic system; fit indices; sum of normalized error; mathematical modeling; linear and non-linear regression analysis.

        · resumen en Español     · texto en Español     · Español ( pdf )