Thermal study and composition of edible oils combined by TG/DTG analysis through predictive statistical model

Castro, Ricardo I.; Gallego, Jaime; Garcia, Marcos Flores; Marican, Adolfo; Forero-Doria, Oscar

Abstract

The edible oils adulteration determination is a crucial issue in the control and quality of edible oils due to change in the physicochemical and organoleptic properties that it produces; however, the techniques are of qualitative type; in this work, a methodology was developed based on the thermal analysis (TG/DTG) of oil and a statistic model of deconvolution of peaks of the different oils was developed. The result showed that the use of variables such as temperature and percentage of decomposition of olive-avocado oil in this analysis elaborated five equations for the determination of percentage of the mixture on a graph of the estimated response surface.

Más información

Título según WOS: Thermal study and composition of edible oils combined by TG/DTG analysis through predictive statistical model
Título de la Revista: JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
Volumen: 145
Número: 1
Editorial: Springer
Fecha de publicación: 2020
DOI:

10.1007/S10973-020-09693-W

Notas: ISI