Diseño de disolventes de extracción de oro utilizando modelos de aprendizaje automático.

Takuto Tsunemi1, Tatsuya Oshima2, Hiroki Yokota2

  • 1Department of Applied Chemistry, School of Science and Technology, Meiji University, 1-1-1 Higashi-Mita, Tama-ku, Kawasaki, Kanagawa 214-8571, Japan.

ACS omega
|February 9, 2026
PubMed
Resumen

Los investigadores desarrollaron modelos predictivos para encontrar nuevos disolventes para la extracción de oro. Estos modelos identificaron la (-) -fencona y la 4-fenil-2-butanona como alternativas efectivas al dibutilcarbitol (DBC) con una menor solubilidad en agua, reduciendo la contaminación acuosa.

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