Brazilian cerrado biodiversity plays an important role in different areas, such as food and medicine due to the variety of plant species that can be found. However, this has been poorly studied in order to explore aspects related to food and analysis of crude extracts or isolated compounds. In this context, this contribution aims to determine kinetic and phenomenological models to evaluate the mass and energy transport during the drying operation of Guapeva (Pouteria gardneriana Radlk) by formulating and solving two inverse problems considering the Differential Evolution algorithm. The mathematical model that represents the Guapeva drying process considers a one-dimensional differential equation system in spherical coordinates. To solve this system, the Normal Collocation is used as a numerical strategy to integrate the mass and energy balances. The proposed inverse problem considers experimental data obtained in an experiment carried out in a tunnel type dryer to obtain kinetics and thermo-physical parameters. The obtained results demonstrated both the feasibility and effectiveness of the proposed methodology to solve inverse problems.

由于可发现的植物种类繁多，巴西塞拉多生物多样性在不同领域（例如食品和药品）中发挥着重要作用。但是，为了探索与食品有关的方面以及对粗提物或分离的化合物进行分析，对此进行了很少的研究。在这种情况下，该贡献旨在确定动力学和现象学模型，以评估Guapeva（Pouteria gardneriana Radlk）干燥操作过程中的质量和能量传输。），通过考虑差分演化算法来制定和解决两个反问题。代表Guapeva干燥过程的数学模型考虑了球坐标系中的一维微分方程组。为了解决该系统，将“正常搭配”用作数值策略来整合质量和能量平衡。提出的反问题考虑了在隧道式干燥机中进行的实验中获得的实验数据，以获得动力学和热物理参数。获得的结果证明了所提出的方法解决反问题的可行性和有效性。