Comparison of different two-pathway models for describing the combined effect of DO and nitrite on the nitrous oxide production by ammonia-oxidizing bacteria.
Identifieur interne : 004312 ( Ncbi/Merge ); précédent : 004311; suivant : 004313Comparison of different two-pathway models for describing the combined effect of DO and nitrite on the nitrous oxide production by ammonia-oxidizing bacteria.
Auteurs : Longqi Lang [France] ; Mathieu Pocquet [France] ; Bing-Jie Ni [Australie] ; Zhiguo Yuan [Australie] ; Mathieu Spérandio [France]Source :
- Water science and technology : a journal of the International Association on Water Pollution Research [ 0273-1223 ] ; 2017.
Descripteurs français
- KwdFr :
- Ammoniac (métabolisme), Betaproteobacteria (croissance et développement), Betaproteobacteria (métabolisme), Biomasse, Dénitrification, Hydroxylamine (), Modèles théoriques, Nitrites (analyse), Nitrites (métabolisme), Oxydoréduction, Oxygène (analyse), Oxygène (métabolisme), Protoxyde d'azote (analyse), Protoxyde d'azote (métabolisme), Purification de l'eau ().
- MESH :
- analyse : Nitrites, Oxygène, Protoxyde d'azote.
- croissance et développement : Betaproteobacteria.
- métabolisme : Ammoniac, Betaproteobacteria, Nitrites, Oxygène, Protoxyde d'azote.
- Biomasse, Dénitrification, Hydroxylamine, Modèles théoriques, Oxydoréduction, Purification de l'eau.
English descriptors
- KwdEn :
- Ammonia (metabolism), Betaproteobacteria (growth & development), Betaproteobacteria (metabolism), Biomass, Denitrification, Hydroxylamine (chemistry), Models, Theoretical, Nitrites (analysis), Nitrites (metabolism), Nitrous Oxide (analysis), Nitrous Oxide (metabolism), Oxidation-Reduction, Oxygen (analysis), Oxygen (metabolism), Water Purification (methods).
- MESH :
- chemical , analysis : Nitrites, Nitrous Oxide, Oxygen.
- chemical , chemistry : Hydroxylamine.
- chemical , metabolism : Ammonia, Nitrites, Nitrous Oxide, Oxygen.
- growth & development : Betaproteobacteria.
- metabolism : Betaproteobacteria.
- methods : Water Purification.
- Biomass, Denitrification, Models, Theoretical, Oxidation-Reduction.
Abstract
The aim of this work is to compare the capability of two recently proposed two-pathway models for predicting nitrous oxide (N2O) production by ammonia-oxidizing bacteria (AOB) for varying ranges of dissolved oxygen (DO) and nitrite. The first model includes the electron carriers whereas the second model is based on direct coupling of electron donors and acceptors. Simulations are confronted to extensive sets of experiments (43 batches) from different studies with three different microbial systems. Despite their different mathematical structures, both models could well and similarly describe the combined effect of DO and nitrite on N2O production rate and emission factor. The model-predicted contributions for nitrifier denitrification pathway and hydroxylamine pathway also matched well with the available isotopic measurements. Based on sensitivity analysis, calibration procedures are described and discussed for facilitating the future use of those models.
DOI: 10.2166/wst.2016.389
PubMed: 28192343
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(methods)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Ammoniac (métabolisme)</term><term>Betaproteobacteria (croissance et développement)</term><term>Betaproteobacteria (métabolisme)</term><term>Biomasse</term><term>Dénitrification</term><term>Hydroxylamine ()</term><term>Modèles théoriques</term><term>Nitrites (analyse)</term><term>Nitrites (métabolisme)</term><term>Oxydoréduction</term><term>Oxygène (analyse)</term><term>Oxygène (métabolisme)</term><term>Protoxyde d'azote (analyse)</term><term>Protoxyde d'azote (métabolisme)</term><term>Purification de l'eau ()</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Nitrites</term><term>Nitrous Oxide</term><term>Oxygen</term></keywords><keywords scheme="MESH" type="chemical" qualifier="chemistry" xml:lang="en"><term>Hydroxylamine</term></keywords><keywords scheme="MESH" type="chemical" qualifier="metabolism" 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Theoretical</term><term>Oxidation-Reduction</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Biomasse</term><term>Dénitrification</term><term>Hydroxylamine</term><term>Modèles théoriques</term><term>Oxydoréduction</term><term>Purification de l'eau</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The aim of this work is to compare the capability of two recently proposed two-pathway models for predicting nitrous oxide (N2O) production by ammonia-oxidizing bacteria (AOB) for varying ranges of dissolved oxygen (DO) and nitrite. The first model includes the electron carriers whereas the second model is based on direct coupling of electron donors and acceptors. Simulations are confronted to extensive sets of experiments (43 batches) from different studies with three different microbial systems. Despite their different mathematical structures, both models could well and similarly describe the combined effect of DO and nitrite on N2O production rate and emission factor. The model-predicted contributions for nitrifier denitrification pathway and hydroxylamine pathway also matched well with the available isotopic measurements. Based on sensitivity analysis, calibration procedures are described and discussed for facilitating the future use of those models.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">28192343</PMID><DateCreated><Year>2017</Year><Month>02</Month><Day>13</Day></DateCreated><DateCompleted><Year>2017</Year><Month>06</Month><Day>26</Day></DateCompleted><DateRevised><Year>2017</Year><Month>06</Month><Day>26</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0273-1223</ISSN><JournalIssue CitedMedium="Print"><Volume>75</Volume><Issue>3-4</Issue><PubDate><Year>2017</Year><Month>02</Month></PubDate></JournalIssue><Title>Water science and technology : a journal of the International Association on Water Pollution Research</Title><ISOAbbreviation>Water Sci. Technol.</ISOAbbreviation></Journal><ArticleTitle>Comparison of different two-pathway models for describing the combined effect of DO and nitrite on the nitrous oxide production by ammonia-oxidizing bacteria.</ArticleTitle><Pagination><MedlinePgn>491-500</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.2166/wst.2016.389</ELocationID><Abstract><AbstractText>The aim of this work is to compare the capability of two recently proposed two-pathway models for predicting nitrous oxide (N2O) production by ammonia-oxidizing bacteria (AOB) for varying ranges of dissolved oxygen (DO) and nitrite. The first model includes the electron carriers whereas the second model is based on direct coupling of electron donors and acceptors. Simulations are confronted to extensive sets of experiments (43 batches) from different studies with three different microbial systems. Despite their different mathematical structures, both models could well and similarly describe the combined effect of DO and nitrite on N2O production rate and emission factor. The model-predicted contributions for nitrifier denitrification pathway and hydroxylamine pathway also matched well with the available isotopic measurements. Based on sensitivity analysis, calibration procedures are described and discussed for facilitating the future use of those models.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Lang</LastName><ForeName>Longqi</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>LISBP, Université de Toulouse, CNRS, INRA, INSA, Toulouse, France E-mail: sperandio@insa-toulouse.fr.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Pocquet</LastName><ForeName>Mathieu</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>LISBP, Université de Toulouse, CNRS, INRA, INSA, Toulouse, France E-mail: sperandio@insa-toulouse.fr.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ni</LastName><ForeName>Bing-Jie</ForeName><Initials>BJ</Initials><AffiliationInfo><Affiliation>Advanced Water Management Centre, The University of Queensland, St Lucia, QLD 4072, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Yuan</LastName><ForeName>Zhiguo</ForeName><Initials>Z</Initials><AffiliationInfo><Affiliation>Advanced Water Management Centre, The University of Queensland, St Lucia, QLD 4072, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Spérandio</LastName><ForeName>Mathieu</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>LISBP, Université de Toulouse, CNRS, INRA, INSA, Toulouse, France E-mail: sperandio@insa-toulouse.fr.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Water Sci 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MajorTopicYN="N">Betaproteobacteria</DescriptorName><QualifierName UI="Q000254" MajorTopicYN="N">growth & development</QualifierName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018533" MajorTopicYN="N">Biomass</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058440" MajorTopicYN="N">Denitrification</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D019811" MajorTopicYN="N">Hydroxylamine</DescriptorName><QualifierName UI="Q000737" MajorTopicYN="N">chemistry</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008962" MajorTopicYN="Y">Models, Theoretical</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009573" MajorTopicYN="N">Nitrites</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D009609" 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PubStatus="pubmed"><Year>2017</Year><Month>2</Month><Day>14</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2017</Year><Month>6</Month><Day>27</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">28192343</ArticleId><ArticleId IdType="pmcid">wst_2016_389</ArticleId><ArticleId IdType="doi">10.2166/wst.2016.389</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Australie</li><li>France</li></country><region><li>Midi-Pyrénées</li><li>Occitanie (région administrative)</li></region><settlement><li>Toulouse</li></settlement></list><tree><country name="France"><region name="Occitanie (région administrative)"><name sortKey="Lang, Longqi" sort="Lang, Longqi" uniqKey="Lang L" first="Longqi" last="Lang">Longqi Lang</name></region><name sortKey="Pocquet, Mathieu" sort="Pocquet, Mathieu" uniqKey="Pocquet M" first="Mathieu" last="Pocquet">Mathieu Pocquet</name><name sortKey="Sperandio, Mathieu" sort="Sperandio, Mathieu" uniqKey="Sperandio M" first="Mathieu" last="Spérandio">Mathieu Spérandio</name></country><country name="Australie"><noRegion><name sortKey="Ni, Bing Jie" sort="Ni, Bing Jie" uniqKey="Ni B" first="Bing-Jie" last="Ni">Bing-Jie Ni</name></noRegion><name sortKey="Yuan, Zhiguo" sort="Yuan, Zhiguo" uniqKey="Yuan Z" first="Zhiguo" last="Yuan">Zhiguo Yuan</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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