Multivariate analysis in mathematical model selection to describe Croton urucurana Baill drying kinetics

The Croton urucurana Baill species is known in Brazil as “sangra d’água” and popular due to its medicinal properties. For better processing of herbal medicines, it essential that efficient drying storage techniques are developed compounds preserved. Therefore, this study aimed select models through multivariate cluster analysis applying Akaike (AIC) Bayesian information criteria (BIC) describe leaves kinetics at different temperatures (40-70 °C). initial moisture content was 1.791, 1.841, 2.196 2.144 kg water dry matter-1, 8.25, 7.75, 4.25 2 hours were required reach hygroscopic equilibrium, with a final 0.134, 0.105, 0.065 0.0601 40, 50, 60 70 °C, respectively. the greatest similarity experimental data Diffusion Approximation; Cavalcanti Mata; Two-term; Two-term Exponential; Modified Henderson & Pabis; Logarithmic; Midilli; Page Verma. technique associated AIC BIC during model selection great applicability tool help decision-making when evaluating plant leaves. Mata mathematical selected represent kinetics.