© The Authors, 2021, Published by the Universidad del Zulia *Corresponding author: tamaramolero@unad.edu.do Tamara Molero Paredes 1,3* Said Kas-Danouche 2,3 Rev. Fac. Agron. (LUZ). 2022, 39(1): e223913 ISSN 2477-9407 DOI: https://doi.org/10.47280/RevFacAgron(LUZ).v39.n1.13 Food Technology Associate editor: Dra. Gretty Ettienne 1 Universidad del Zulia. Facultad de Humanidades y Educación. Departamento de Biología. Venezuela. 2 Universidad de Oriente. Escuela de Ciencias. Departamento de Matemática. Laboratorio de Matemática Aplicada para la Industria. Venezuela. 3 Universidad Adventista Dominicana. Facultad de Humanidades. Escuela de Ciencias. República Dominicana. Recibido: 10-06-2021 Aceptado: 11-11-2021 Published: 03-02-2022 Keywords: Aloin Concentration Estimate Mathematical modeling Estimation of aloin concentration in Aloe vera L. (Aloe barbadensis Mill.) by mathematical modeling Estimación de la concentración de aloína en Aloe vera L. (Aloe barbadensis Mill.) mediante modelización matemática Estimativa da concentração de aloína em Aloe vera L. (Aloe barbadensis Mill.) por modelagem matemática Abstract Aloin is one of the secondary metabolites that gives plants of the genus Aloe spp. their healing properties. The concentration of aloin is related to the fresh mass and, its industrial purifcation involves laboratory processes that add extra costs to its commercialization. The objective of this research was to mathematically modelize the estimation of the aloin concentration in A. vera L. from the fresh mass. The theory of discrete perfect least squares approximations was used, considering linear and exponential approximation functions. For the tabulation of the data, the option of class mark and the average of the values were used. The analyses of the approximations indicate that the exponential curves approximate the data better (with R 2 = 75% and 82% for the two options, respectively) than the straight lines (with R 2 = 65% and 70% for the two options, respectively). The use of these approximations is recommended to estimate the concentration of aloin in A. vera plants based on their fresh mass, facilitating the measurement of this secondary metabolite, and minimizing costs in the industrialization process.