Food waste-derived volatile fatty acids platform using an immersed membrane bioreactor.

Food waste Fouling control Immersed membrane bioreactor In situ recovery Volatile fatty acids

Journal

Bioresource technology
ISSN: 1873-2976
Titre abrégé: Bioresour Technol
Pays: England
ID NLM: 9889523

Informations de publication

Date de publication:
Feb 2019
Historique:
received: 27 10 2018
revised: 29 11 2018
accepted: 30 11 2018
pubmed: 12 12 2018
medline: 30 7 2019
entrez: 12 12 2018
Statut: ppublish

Résumé

Volatile fatty acids (VFAs) are the key intermediates from anaerobic digestion (AD) process that can be a platform to synthesize products of higher value than biogas. However, some obstacles still exist that prevent large-scale production and application of VFAs, key among them being the difficulty in recovering the acids from the fermentation medium and low product yields. In this study, a novel anaerobic immersed membrane bioreactor (iMBR) with robust cleaning capabilities, which incorporated frequent backwashing to withstand the complex AD medium, was designed and applied for production and in situ recovery of VFAs. The iMBR was fed with food waste and operated without pH control, achieving a high yield of 0.54 g VFA/g VS

Identifiants

pubmed: 30529480
pii: S0960-8524(18)31650-X
doi: 10.1016/j.biortech.2018.11.104
pii:
doi:

Substances chimiques

Fatty Acids, Volatile 0

Types de publication

Journal Article

Langues

eng

Pagination

329-334

Informations de copyright

Copyright © 2018 Elsevier Ltd. All rights reserved.

Auteurs

Steven Wainaina (S)

Swedish Centre for Resource Recovery, University of Borås, 501 90 Borås, Sweden.

Mohsen Parchami (M)

Swedish Centre for Resource Recovery, University of Borås, 501 90 Borås, Sweden.

Amir Mahboubi (A)

Swedish Centre for Resource Recovery, University of Borås, 501 90 Borås, Sweden.

Ilona Sárvári Horváth (IS)

Swedish Centre for Resource Recovery, University of Borås, 501 90 Borås, Sweden.

Mohammad J Taherzadeh (MJ)

Swedish Centre for Resource Recovery, University of Borås, 501 90 Borås, Sweden. Electronic address: mohammad.taherzadeh@hb.se.

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Classifications MeSH