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Experimental Study of the Co-Pyrolysis of Sewage Sludge and Wet Waste Via TGFTIR- GC and Artificial Neural Network Model: Synergistic Effect, Pyrolysis Kinetics, Thermodynamic and Gas Products
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Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
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The 52 checked references that resolve
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From glucose-based carbohydrates to phenol-rich bio-oils integrated with syngas production
<i>via</i>
catalytic pyrolysis over an activated carbon catalyst
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A study on co-pyrolysis of bagasse and sewage sludge using TG-FTIR and Py-GC/MS
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The 8 references without a DOI — listed, not checked
no DOI — not checkedResource reclamation of municipal sewage sludge based on local conditions: A case study
no DOI — not checkedIntegrating multi-state and multi-phase treatment for anaerobic sludge digestion to enhance recovery of bio-energy
no DOI — not checkedSustainable disposal of excess sludge: Incineration without anaerobic digestion
no DOI — not checkedInvestigation of the copyrolysis of coal slime and coffee industry residue based on machine learning methods and TG-FTIR: Synergistic effect, kinetics and thermodynamic
no DOI — not checkedThermodynamics, kinetics, gas emissions and artificial neural network modeling of co-pyrolysis of sewage sludge and peanut shell
no DOI — not checkedref45
no DOI — not checkedref48
no DOI — not checkedref54
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