Assessment of a fast method to predict the biochemical methane potential based on biodegradable COD obtained by fractionation respirometric tests.

Anaerobiosis Biodegradation, Environmental Chemical Fractionation Methane
Anaerobic digestion BMP Biodegradability COD fractionation Respirometric test

Journal

Journal of environmental management
ISSN: 1095-8630
Titre abrégé: J Environ Manage
Pays: England
ID NLM: 0401664

Informations de publication

Date de publication:
01 Sep 2020
Historique:
received: 03 12 2019
revised: 29 04 2020
accepted: 03 05 2020
pubmed: 20 5 2020
medline: 24 6 2020
entrez: 20 5 2020
Statut: ppublish

Résumé

The biochemical methane potential test (BMP) is the most common analytical technique to predict the performance of anaerobic digesters. However, this assay is time-consuming (from 20 to over than 100 days) and consequently impractical when it is necessary to obtain a quick result. Several methods are available for faster BMP prediction but, unfortunately, there is still a lack of a clear alternative. Current aerobic tests underestimate the BMP of substrates since they only detect the easily biodegradable COD. In this context, the potential of COD fractionation respirometric assays, which allow the determination of the particulate slowly biodegradable fraction, was evaluated here as an alternative to early predict the BMP of substrates. Seven different origin waste streams were tested and the anaerobically biodegraded organic matter (COD

Identifiants

DOI: 10.1016/j.jenvman.2020.110695 PMID: 32425161
pubmed: 32425161
pii: S0301-4797(20)30627-7
doi: 10.1016/j.jenvman.2020.110695
pii:
doi:

Substances chimiques

Methane OP0UW79H66

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

110695

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

L Argiz (L)

CRETUS Institute, Universidade de Santiago de Compostela, 15782, Santiago de Compostela, Galicia, Spain. Electronic address: luciaargiz.montes@usc.es.

C Reyes (C)

Laboratorio de Biotecnología, Medio Ambiente e Ingeniería (LABMAI), Facultad de Ingeniería, Universidad de Playa Ancha, Avda. Leopoldo Carvallo 270, 2340000, Valparaíso, Chile.

M Belmonte (M)

Laboratorio de Biotecnología, Medio Ambiente e Ingeniería (LABMAI), Facultad de Ingeniería, Universidad de Playa Ancha, Avda. Leopoldo Carvallo 270, 2340000, Valparaíso, Chile.

O Franchi (O)

Facultad de Ingeniería y Ciencias, Universidad Adolfo Ibáñez, Avda. Padre Hurtado 750, Viña del Mar, Chile.

R Campo (R)

Dipartimento di Ingegneria Civile e Ambientale (DICEA), Università degli Studi Firenze, Via di Santa Marta, 3, 50139, Firenze, Italy.

A Fra-Vázquez (A)

CRETUS Institute, Universidade de Santiago de Compostela, 15782, Santiago de Compostela, Galicia, Spain.

A Val Del Río (A)

CRETUS Institute, Universidade de Santiago de Compostela, 15782, Santiago de Compostela, Galicia, Spain.

A Mosquera-Corral (A)

CRETUS Institute, Universidade de Santiago de Compostela, 15782, Santiago de Compostela, Galicia, Spain.

J L Campos (JL)

Facultad de Ingeniería y Ciencias, Universidad Adolfo Ibáñez, Avda. Padre Hurtado 750, Viña del Mar, Chile.

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Classifications MeSH

questionsmedicales.fr › Métabolisme › Anaérobiose › Assessment of a fast method to predict the...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Pollution de l'environnement › Assainissement et restauration de l'environnement › Dépollution biologique de l'environnement › Assessment of a fast method to predict the...
questionsmedicales.fr › Techniques d'investigation › Techniques de chimie analytique › Fractionnement chimique › Assessment of a fast method to predict the...
questionsmedicales.fr › Composés chimiques organiques › Hydrocarbures › Hydrocarbures acycliques › Alcanes › Méthane › Assessment of a fast method to predict the...