Recovery of precious metals from aqua regia leachate of e-wastes using dithiocarbamate-modified cellulose and development of a novel kinetic model

• DMC effectively recovers precious metals from aqua regia leachates of e-waste. • Chemical preconcentration improves precious metal recovery and reduces base metals. • A step-by-step recovery process for various e-waste types was demonstrated. • A new model is introduced to correlate sorption kinetics in the aqua regia matrix accurately. The escalating demand and dwindling natural supplies of precious metals (PMs) necessitate innovative hydrometallurgical recovery approaches with rapid kinetics and reduced environmental impact. The current study investigated the sorption and recovery of PMs from electronic waste (e-waste) utilizing dithiocarbamate-modified cellulose (DMC) and its proline derivative with epoxy cross-linkage (DMC-Pro-Epo-6) in aqua regia (AR). The effects of various sorption parameters, such as sorbent dose in feed, HCl:HNO 3 ratio, AR dilution times, etc., on PM recovery were explored. Equilibrium for Au III and Pt IV sorption by DMC and DMC-Pro-Epo6 was reached in less than an hour, which is significantly faster than most reported sorbents. The maximum sorption capacities in AR settings, calculated using the Langmuir equation, were 348.0 mg g −1 for Au III and 34.7 mg g −1 for Pt IV for DMC , while DMC-Pro-Epo6 achieved 350.3 mg g −1 for Au III and 31.1 mg g −1 for Pt IV . These capacities, particularly for the higher sorption capacity of Au III by DMCs, are attributed to the relativistic effects of gold, soft–soft interactions, and strong sulfur binding. FT-IR, FE-SEM, and EDX analyses elucidated the chelation bonding and mechanisms involved in PM sorption onto DMCs. By utilizing AR-DMC integrated techniques, step-by-step protocols were established for Au recovery from diverse e-waste sources, such as smartphones and smart chip cards. The study also highlighted the importance of chemical pre-concentration of e-waste to remove base metals, facilitating efficient PM recovery. Finally, a key innovation of this work is introducing a new pseudo-mix order fractional model, based on the preference of active sites with fractional assumptions, which more accurately correlates the sorption kinetics observed in complex systems.