The drying kinetics of Sarcocephalus Latifolius bark, collected in Mbanza-Ngungu, Democratic Republic of the Congo, in central Kongo, were investigated employing various mathematical models including Page, Logarithmic, Two Terms, Verna et al., Midili, Peleg, and Logistic. The bark, precut and fractionated into sizes ranging from 0.5cm to 10cm, underwent drying in open air. Humidity levels were monitored closely, as excessive moisture encourages toxin proliferation, rendering the species unfit for consumption. The models were validated using statistical parameters such as RMSE, RSE, and R² via Matlab with the Curve Fitting Tools library. Detailed analysis revealed that smaller bark sizes exhibited optimal drying times, with the logistic and logarithmic models displaying higher optima.