On the Importance of Choosing the Best Minimization Algorithm for the Determination of Ternary Diffusion Coefficients by the Taylor Dispersion Method

Vincenzo Russo; Ornella Ortona; Riccardo Tesser; Luigi Paduano; Martino Di Serio

doi:10.1021/acsomega.7b00384

On the Importance of Choosing the Best Minimization Algorithm for the Determination of Ternary Diffusion Coefficients by the Taylor Dispersion Method

ACS Omega. 2017 Jun 23;2(6):2945-2952. doi: 10.1021/acsomega.7b00384. eCollection 2017 Jun 30.

Authors

Vincenzo Russo¹, Ornella Ortona¹, Riccardo Tesser¹, Luigi Paduano¹, Martino Di Serio¹

Affiliation

¹ Chemical Sciences Department, University of Naples "Federico II", IT-80126 Naples, Italy.

Abstract

Taylor dispersion method is a common technique for the determination of diffusion coefficients in the case of multicomponent systems. One of the main problems related to the parameter estimation analysis of the collected results is the choice of the best minimization algorithm that allows finding the real minimum of the objective function. Usually, researchers use the Levenberg-Marquardt algorithm, averaging the parameters obtained by different estimation analyses. In this paper, some nonlinear minimization algorithms included in MATLAB R2016a have been tested, and the results are compared in terms of best fit on the experimental data collected for sodium dodecyl sulfate (SDS) + sodium octanoate (SOC) + water system.