Open Access Research Article

Fitting of a multivariable nonlinear data set: A suggested strategy in lactic fermentations

Francisco Caballero*

Carrera de Ingeniería Química. Facultad de Estudios Superiores Zaragoza UNAM

Corresponding Author

Received Date:March 02, 2023;  Published Date:March 27, 2023

Abstract

Nowadays modeling in bioengineering process is mature field, but experimental data fitting is procedure that keeps on practice, the model obtained can guarantee control and process modelling applications. In this work a set of multivariable nonlinear data, that comes from lactic fermentation by lactobacillus acidophilus. In this way, the fitting procedure is achieved by following different theoretical tips. The data was taken from Escorza [1] to obtain the parameters and they were compared with another kind of lactobacillus [2]. The procedure suggested, can be used to fitting different biotechnology data with precision and confidence.

Keywords:Non-linear fitting; Time series data; Lactic acid; Levenberg-Marquardt Method

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