Catalytic hydrothermal liquefaction of spent coffee grounds: optimization of process parameters for production of biocrude oil through combined RSM and ANN based methodology

Sustainable Energy & Fuels 2026

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Authors: Deepak Bhushan, Philip Boahene, Ajay K Dalai, Prasenjit Mondal
DOI: 10.1039/d5se01549a
Cited by: 3
References: 68

Abstract

This study investigates the catalytic HTL of spent coffee grounds for enhanced biocrude production. Process parameters were optimized using response surface methodology (RSM) and artificial neural networks (ANN).

Fields of Study & Subjects

Thermochemical Biomass Conversion Processes Subcritical and Supercritical Water Processes Lignin and Wood Chemistry

Publication details

Journal / source
Sustainable Energy & Fuels
Publisher
Royal Society of Chemistry (RSC)
Volume
10
Issue
5
Pages
1321–1338
Publication date
1 January 2026
Language
EN