Recovery of lithium from spent lithium-ion batteries using carbothermal reduction with spent coffee grounds: a parametric optimization using a combined approach of response surface methodology and machine learning

Spent coffee grounds enabled selective lithium recovery as Li 2 CO 3 from spent LIBs. Process optimization using RSM and machine learning offers a green and sustainable recycling strategy.

Authors

Hemant Goyal (ORCID: https://orcid.org/0000-0002-7904-2240)
Ranjeet Kumar Singh (ORCID: https://orcid.org/0000-0002-0670-723X)
Prasenjit Mondal (ORCID: https://orcid.org/0000-0002-9099-7849)
Y. K. Srivastava (ORCID: https://orcid.org/0009-0003-6976-4842)

Institutions

Indian Institute of Technology Roorkee (IN)

Publication Details

Journal: Reaction Chemistry & Engineering
Published: 2025-12-04
DOI: https://doi.org/10.1039/d5re00097a
Primary Topic: Extraction and Separation Processes
Type: article
Field-Weighted Citation Impact: 0.00

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article

Recovery of lithium from spent lithium-ion batteries using carbothermal reduction with spent coffee grounds: a parametric optimization using a combined approach of response surface methodology and machine learning

Hemant Goyal, Ranjeet Kumar Singh, Prasenjit Mondal, Y. K. Srivastava

Dec 4, 2025

Reaction Chemistry & Engineering

Extraction and Separation Processes

article

Recovery of lithium from spent lithium-ion batteries using carbothermal reduction with spent coffee grounds: a parametric optimization using a combined approach of response surface methodology and machine learning

Hemant Goyal, Ranjeet Kumar Singh, Prasenjit Mondal, Y. K. Srivastava

December 4, 2025article en

Abstract

Spent coffee grounds enabled selective lithium recovery as Li 2 CO 3 from spent LIBs. Process optimization using RSM and machine learning offers a green and sustainable recycling strategy.

Reaction Chemistry & EngineeringVol. 11(3)

Indian Institute of Technology Roorkee (IN)

Openalex Percentile: Top 60%

Extraction and Separation Processes

DOI Source OpenAlex

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Recovery of lithium from spent lithium-ion batteries using carbothermal reduction with spent coffee grounds: a parametric optimization using a combined approach of response surface methodology and machine learning — Hemant Goyal, Ranjeet Kumar Singh, et al. · Reaction Chemistry & Engineering (2025) | TGRS Research Map | TGRS