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Biofuels Bioproducts and Biorefining
Article . 2025 . Peer-reviewed
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https://doi.org/10.2139/ssrn.4...
Article . 2024 . Peer-reviewed
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Evaluation of Enzymatic Pretreatment Strategies to Enhance Anaerobic Digestion of Tomato Waste

Authors: María Eugenia Martínez; Franko Restovic; Freddy Urrego; Derie Fuentes; Carlos Ramos;

Evaluation of Enzymatic Pretreatment Strategies to Enhance Anaerobic Digestion of Tomato Waste

Abstract

AbstractTomato residues are a form of solid waste that can be converted into methane through anaerobic digestion (AD). However, methane production is often limited due to incomplete hydrolysis caused by the high lignocellulosic content of tomato waste. Enzymatic pretreatments represent a promising approach to enhance methane yields by facilitating substrate hydrolysis. This study evaluated four commercial enzymatic blends – Celluclast 1.5 L, Maxoliva HC L, Viscozyme, and Novozym 435 – using biomethane potential (BMP) tests with two operational strategies: (i) preincubation of enzymes with tomato waste prior to AD, and (ii) direct addition of enzymes to the anaerobic digester. Maxoliva achieved the highest methane yield (348 ± 20 mL CH4 g−1 volatile solids (VS)) under preincubation, representing 99.5% of the theoretical BMP and a 90% increase in comparison with the control. Kinetic analysis using the modified Gompertz equation revealed that Maxoliva also exhibited the highest maximum methane production rate (RMAX = 5.5 ± 0.2 mL CH4 g−1 VS day−1) with direct addition. Conversely, Viscozyme showed limited effectiveness, reaching only 47% of the theoretical BMP value. The enhanced methane production observed with certain enzymatic blends is likely attributable to cellulase activity, which facilitates the breakdown of complex carbohydrates into easily biodegradable polysaccharides.

Country
Spain
Related Organizations
Keywords

Circular economy, Anaerobic digestion, Tomato waste, Àrees temàtiques de la UPC::Enginyeria agroalimentària::Agricultura, Agroindustry, Methane, Enzymes, Biorefinery

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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