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Article: Towards a metagenomic understanding on enhanced biomethane production from waste activated sludge after pH 10 pretreatment

TitleTowards a metagenomic understanding on enhanced biomethane production from waste activated sludge after pH 10 pretreatment
Authors
KeywordsWastewater treatment plan
Sludge
Pretreatment
Renewable energy
Biomethane
Pyrosequencing
Metagenomic
Issue Date2013
PublisherBioMed Central Ltd.. The Journal's web site is located at http://www.biotechnologyforbiofuels.com/
Citation
Biotechnology for biofuels, 2013, v. 6 n. 1, article no. 38, p. 1-14 How to Cite?
AbstractBACKGROUND: Understanding the effects of pretreatment on anaerobic digestion of sludge waste from wastewater treatment plants is becoming increasingly important, as impetus moves towards the utilization of sludge for renewable energy production. Although the field of sludge pretreatment has progressed significantly over the past decade, critical questions concerning the underlying microbial interactions remain unanswered. In this study, a metagenomic approach was adopted to investigate the microbial composition and gene content contributing to enhanced biogas production from sludge subjected to a novel pretreatment method (maintaining pH at 10 for 8 days) compared to other documented methods (ultrasonic, thermal and thermal-alkaline). RESULTS: Our results showed that pretreated sludge attained a maximum methane yield approximately 4-fold higher than that of the blank un-pretreated sludge set-up at day 17. Both the microbial and metabolic consortium shifted extensively towards enhanced biodegradation subsequent to pretreatment, providing insight for the enhanced methane yield. The prevalence of Methanosaeta thermophila and Methanothermobacter thermautotrophicus, together with the functional affiliation of enzymes-encoding genes suggested an acetoclastic and hydrogenotrophic methanogenesis pathway. Additionally, an alternative enzymology in Methanosaeta was observed. CONCLUSIONS: This study is the first to provide a microbiological understanding of improved biogas production subsequent to a novel waste sludge pretreatment method. The knowledge garnered will assist the design of more efficient pretreatment methods for biogas production in the future.
Persistent Identifierhttp://hdl.handle.net/10722/190371
ISSN
2023 Impact Factor: 6.1
2023 SCImago Journal Rankings: 1.113
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWong, MTen_US
dc.contributor.authorZhang, Den_US
dc.contributor.authorLi, Jen_US
dc.contributor.authorHui, RKHen_US
dc.contributor.authorTun, HMen_US
dc.contributor.authorBrar, MSen_US
dc.contributor.authorPark, TJen_US
dc.contributor.authorChen, Yen_US
dc.contributor.authorLeung, FCCen_US
dc.date.accessioned2013-09-17T15:21:37Z-
dc.date.available2013-09-17T15:21:37Z-
dc.date.issued2013en_US
dc.identifier.citationBiotechnology for biofuels, 2013, v. 6 n. 1, article no. 38, p. 1-14en_US
dc.identifier.issn1754-6834-
dc.identifier.urihttp://hdl.handle.net/10722/190371-
dc.description.abstractBACKGROUND: Understanding the effects of pretreatment on anaerobic digestion of sludge waste from wastewater treatment plants is becoming increasingly important, as impetus moves towards the utilization of sludge for renewable energy production. Although the field of sludge pretreatment has progressed significantly over the past decade, critical questions concerning the underlying microbial interactions remain unanswered. In this study, a metagenomic approach was adopted to investigate the microbial composition and gene content contributing to enhanced biogas production from sludge subjected to a novel pretreatment method (maintaining pH at 10 for 8 days) compared to other documented methods (ultrasonic, thermal and thermal-alkaline). RESULTS: Our results showed that pretreated sludge attained a maximum methane yield approximately 4-fold higher than that of the blank un-pretreated sludge set-up at day 17. Both the microbial and metabolic consortium shifted extensively towards enhanced biodegradation subsequent to pretreatment, providing insight for the enhanced methane yield. The prevalence of Methanosaeta thermophila and Methanothermobacter thermautotrophicus, together with the functional affiliation of enzymes-encoding genes suggested an acetoclastic and hydrogenotrophic methanogenesis pathway. Additionally, an alternative enzymology in Methanosaeta was observed. CONCLUSIONS: This study is the first to provide a microbiological understanding of improved biogas production subsequent to a novel waste sludge pretreatment method. The knowledge garnered will assist the design of more efficient pretreatment methods for biogas production in the future.-
dc.languageengen_US
dc.publisherBioMed Central Ltd.. The Journal's web site is located at http://www.biotechnologyforbiofuels.com/-
dc.relation.ispartofBiotechnology for Biofuelsen_US
dc.rightsBiotechnology for Biofuels. Copyright © BioMed Central Ltd..-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectWastewater treatment plan-
dc.subjectSludge-
dc.subjectPretreatment-
dc.subjectRenewable energy-
dc.subjectBiomethane-
dc.subjectPyrosequencing-
dc.subjectMetagenomic-
dc.titleTowards a metagenomic understanding on enhanced biomethane production from waste activated sludge after pH 10 pretreatmenten_US
dc.typeArticleen_US
dc.identifier.emailHui, RKH: rkhhui@hkucc.hku.hken_US
dc.identifier.emailLeung, FCC: fcleung@hkucc.hku.hken_US
dc.identifier.authorityHui, RKH=rp00711en_US
dc.identifier.authorityLeung, FCC=rp00731en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1186/1754-6834-6-38-
dc.identifier.pmid23506434-
dc.identifier.pmcidPMC3607842-
dc.identifier.scopuseid_2-s2.0-84875031108-
dc.identifier.hkuros222927en_US
dc.identifier.volume6en_US
dc.identifier.issue1en_US
dc.identifier.spage1en_US
dc.identifier.epage14en_US
dc.identifier.isiWOS:000316668500001-
dc.publisher.placeUnited Kingdom-
dc.customcontrol.immutablesml 131115-
dc.identifier.issnl1754-6834-

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