Molecular Recognition TechnologyTM (MRT™) for Selective Metal Separation in Green E-Waste Processing

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Authors: Roberto Campos Navarro, Minerva Davila Leija, Luis Navarro-Tovar, Steven R. Izatt
Cited by: 0
References: 6

Abstract

The rapid growth of electronic waste (e-waste) demands sustainable recovery solutions based on green chemistry. Conventional recycling relies on energy-intensive pyrometallurgical routes that cause emissions and material losses. This study applies Molecular Recognition Technology™ (MRT™) for selective energy-efficient recovery of base (Cu, Ni, Fe, Sn) and precious/platinum group metals (Ag, Pd, Pt) from a collector metal alloy. A hydrometallurgical process combining electrowinning, sequential acid leaching, and MRT™ separations achieved >99% metal purity with minimal waste generation. The results demonstrate MRT™ as a scalable green alternative for high-efficiency metal recovery from e-waste, supporting circular economy objectives.

Fields of Study & Subjects

Recycling and Waste Management Techniques Extraction and Separation Processes Recycling and utilization of industrial and municipal waste in materials production

Publication details

Pages
11–11
Publication date
10 March 2026
Language
EN