APPLICATION OF KINETIC MODELS FOR THE EVALUATION OF METHANE GENERATION PRODUCED FROM THE ANAEROBIC DIGESTION OF PRETREATED CORN SILAGE WITH VARIOUS WHITE ROT FUNGI AND AT DIFFERENT CONDITIONS

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27710%2F23%3A10253565" target="_blank" >RIV/61989100:27710/23:10253565 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

APPLICATION OF KINETIC MODELS FOR THE EVALUATION OF METHANE GENERATION PRODUCED FROM THE ANAEROBIC DIGESTION OF PRETREATED CORN SILAGE WITH VARIOUS WHITE ROT FUNGI AND AT DIFFERENT CONDITIONS

Popis výsledku v původním jazyce

Corn silage was treated by white rot fungi (WRF) and the anaerobic digestion (AD) behavior of the material was evaluated by employing exponential and sigmoidal equation models to determine the effect of biological pretreatment on the complexity of biomass decomposition. Methane production after pretreatment with P. ostreatus (10 days - 28 oC) improved by 14.9 %. First-order reaction model was sufficient to model the AD of the raw and pretreated corn silage A with P. ostreatus at 28 oC for 10 days. Cone function that is also classified as an exponential model gave the optimal representation of the cumulative methane curve for the raw corn silage A and the pretreated material with. D. squalens, I. lacteus, and T. versicolor degrading by following a reverse L-shape curve. Incubation times of 30 and 60 days led to a change of the shape of methane production curve to a stepped outline that optimally modelled by the Cone and transference models. Three parameter sigmoidal models were unable to represent a S-shape methane production curve, whereas a fourth shape parameter included in Richards equation enabled an accurate replication.

Název v anglickém jazyce

APPLICATION OF KINETIC MODELS FOR THE EVALUATION OF METHANE GENERATION PRODUCED FROM THE ANAEROBIC DIGESTION OF PRETREATED CORN SILAGE WITH VARIOUS WHITE ROT FUNGI AND AT DIFFERENT CONDITIONS

Popis výsledku anglicky

Corn silage was treated by white rot fungi (WRF) and the anaerobic digestion (AD) behavior of the material was evaluated by employing exponential and sigmoidal equation models to determine the effect of biological pretreatment on the complexity of biomass decomposition. Methane production after pretreatment with P. ostreatus (10 days - 28 oC) improved by 14.9 %. First-order reaction model was sufficient to model the AD of the raw and pretreated corn silage A with P. ostreatus at 28 oC for 10 days. Cone function that is also classified as an exponential model gave the optimal representation of the cumulative methane curve for the raw corn silage A and the pretreated material with. D. squalens, I. lacteus, and T. versicolor degrading by following a reverse L-shape curve. Incubation times of 30 and 60 days led to a change of the shape of methane production curve to a stepped outline that optimally modelled by the Cone and transference models. Three parameter sigmoidal models were unable to represent a S-shape methane production curve, whereas a fourth shape parameter included in Richards equation enabled an accurate replication.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20800 - Environmental biotechnology

Projekt

<a href="/cs/project/TN02000025" target="_blank" >TN02000025: Národní centrum pro energetiku II</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

SARDINIA 2023 : 19th International Symposium on Waste Management, Resource Recovery and Sustainable Landfilling : 9-13 October 2023, Forte Village Resort, S. M. Pula, Sardinie, Itálie

ISBN

978-88-6265-033-5

ISSN

2282-0027

e-ISSN

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Počet stran výsledku

13

Strana od-do

1-13

Název nakladatele

Cisa Publisher

Místo vydání

Padova

Místo konání akce

Santa Margherita di Pula

Datum konání akce

9. 10. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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