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Cited by 36Anaerobic Digestion and Biogas ProductionEnvironmental Chemistry and AnalysisMicrobial Fuel Cells and Bioremediation

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

Anaerobic co-digestion of surplus yeast and wastewater to increase energy recovery in breweries

Open access
Neira, K., Jeison, D.·2010·Water Science and Technology

Abstract

Surplus yeast is a residue produced during brewery process, which presents high contents of organic matter. Biogas production from yeast could significantly contribute to bioenergy production in breweries, via biogas generation. Co-digestion of surplus yeast and brewery wastewater in a single treatment step would simplify the technical and economical requirements for the transformation of both residues into biogas. The feasibility of such co-digestion process was studied by means of batch tests and a lab-scale UASB reactor operation. The effect of applying three pre-treatments (thermal, chemical and mechanical) to the surplus yeast was also studied. Results showed that co-digestion of yeast and brewery wastewater is feasible, since no negative effects of the joint digestion were observed. Pre-treatments tested in this research produced no significant improvements on biogas yield or digestion rates. Even though no negative effects were observed when digesting wastewater and yeast in a UASB reactor after 70 days, long-term studies would be needed in order to detect potential negative effects over granular sludge development, sometimes observed during the treatment of some wastewaters containing suspended solids.

Overview

Integrity signals

Registry

Crossref · 10.2166/wst.2010.052

Cites

22 of 22 references verified0 citation errors · 0 not checkable

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Citations

Cites

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Cited by

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Metadata

Authors
Neira, K., & Jeison, D.
Affiliations
Universidad de La Frontera (CL)
Corresponding author
Jeison, D.
Venue
Water Science and Technology
Published
2010-03-01
Volume
61
Issue
5
Pages
1129-1135
ISSN
  • 0273-1223 (ISSN-L)
  • 1996-9732
OpenAlex
W2016111163
Cited by
36
References
22
Citations by year
2026: 2 · 2025: 2 · 2024: 1 · 2023: 3 · 2022: 1 · 2021: 2 · 2020: 2 · 2019: 1 · 2018: 3 · 2017: 3 · 2016: 7 · 2015: 1 · 2014: 1 · 2013: 1 · 2012: 3
FWCI
5.52
Type
journal article
Language
en
Open access
Licence
other-oa
Locations
  • Water Science & Technology (publishedVersion)
  • PubMed (publishedVersion)
  • Americanae (AECID Library) (submittedVersion, other-oa)
  • LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, other-oa)
Funders
Comisión Nacional de Investigación Científica y Tecnológica
Topics
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Anaerobic Digestion and Biogas Production
  • Physical Sciences › Environmental Science › Environmental Chemistry › Environmental Chemistry and Analysis
  • Physical Sciences › Environmental Science › Environmental Engineering › Microbial Fuel Cells and Bioremediation
Keywords
co-digestion, brewery wastewater, biogas production, UASB reactor, pretreatment, thermal pretreatment, chemical pretreatment, mechanical pretreatment, bioenergy, granular sludge
MeSH terms
Anaerobiosis, Beer, Industrial Waste, Methane, Oxygen, Sewage, Temperature, Time Factors, Waste Disposal, Fluid, Water Pollutants, Chemical, Yeasts, Waste Management, Water Purification, Bioreactors, Biofuels

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CoChat. (2026). Citation check: Anaerobic co-digestion of surplus yeast and wastewater to increase energy recovery in breweries. https://app.cochat.ai/papers/10.2166/wst.2010.052
The paper
Neira, K., & Jeison, D. (2010). Anaerobic co-digestion of surplus yeast and wastewater to increase energy recovery in breweries. Water Science and Technology. https://doi.org/10.2166/wst.2010.052

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.