4.5 Article

Development of a Model to Estimate the Thermodynamic Stability of Organic Substances in Leaching Processes

Journal

METALS
Volume 12, Issue 9, Pages -

Publisher

MDPI
DOI: 10.3390/met12091424

Keywords

organic leaching; E-h-pH diagrams; stability; Pourbaix; iron; free energy; oxalates; 3D E-h-pH diagrams

Funding

  1. Universidad Pontificia Bolivariana

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The leaching processes for metals using organic substances represent a sustainable approach, and this study developed a mathematical model to estimate the thermodynamic stability of organic substances during the leaching process, with iron leaching with oxalic acid as a case study. The model resulted in a thermodynamic tool for predicting leaching processes.
The leaching processes for metals using organic substances represent a sustainable approach to recover precious minerals from solid matrices. However, the generation of organometallic species and the lack of thermodynamic diagrams make it difficult to advance the understanding of their behavior and optimize the process. In this work, a thermodynamically and stoichiometrically consistent mathematical model was developed to estimate the thermodynamic stability of organic substances during the leaching process, and iron leaching with oxalic acid was used as a case study. The Pourbaix and the global thermodynamic stability diagrams for the system were developed in this study. Using a Gaussian (R), it was estimated that the Gibbs free energy formation for Fe(C2O4)(2)(2-), Fe(C2O4)(2)(1-), and Fe(C2O4)(3)(3-) was -1407.51, -2308.38, and -3068.89 kcal/mol. A set of eleven independent reactions was formulated for the sixteen species involved in the leaching process, and its stability functions in terms of Eh and pH were calculated to generate a 3D global thermodynamic stability diagram. According to the E-h-pH diagrams for the leaching process, ferrioxalate was identified as the most stable and predominant species in the leaching process at pH above 6.6 under reductive conditions. The mathematical model developed in this work resulted in a thermodynamic tool for predicting leaching processes.

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