Loading…

Evaluating four mathematical models for nitrous oxide production by autotrophic ammonia-oxidizing bacteria

There is increasing evidence showing that ammonia‐oxidizing bacteria (AOB) are major contributors to N2O emissions from wastewater treatment plants (WWTPs). Although the fundamental metabolic pathways for N2O production by AOB are now coming to light, the mechanisms responsible for N2O production by...

Full description

Saved in:
Bibliographic Details
Published in:Biotechnology and bioengineering 2013-01, Vol.110 (1), p.153-163
Main Authors: Ni, Bing-Jie, Yuan, Zhiguo, Chandran, Kartik, Vanrolleghem, Peter A., Murthy, Sudhir
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c5230-40a4a247c5c109508c5798d7afed36689ab04402723360ed4a28ad6099627f773
cites cdi_FETCH-LOGICAL-c5230-40a4a247c5c109508c5798d7afed36689ab04402723360ed4a28ad6099627f773
container_end_page 163
container_issue 1
container_start_page 153
container_title Biotechnology and bioengineering
container_volume 110
creator Ni, Bing-Jie
Yuan, Zhiguo
Chandran, Kartik
Vanrolleghem, Peter A.
Murthy, Sudhir
description There is increasing evidence showing that ammonia‐oxidizing bacteria (AOB) are major contributors to N2O emissions from wastewater treatment plants (WWTPs). Although the fundamental metabolic pathways for N2O production by AOB are now coming to light, the mechanisms responsible for N2O production by AOB in WWTP are not fully understood. Mathematical modeling provides a means for testing hypotheses related to mechanisms and triggers for N2O emissions in WWTP, and can then also become a tool to support the development of mitigation strategies. This study examined the ability of four mathematical model structures to describe two distinct mechanisms of N2O production by AOB. The production mechanisms evaluated are (1) N2O as the final product of nitrifier denitrification with NO 2− as the terminal electron acceptor and (2) N2O as a byproduct of incomplete oxidation of hydroxylamine (NH2OH) to NO 2−. The four models were compared based on their ability to predict N2O dynamics observed in three mixed culture studies. Short‐term batch experimental data were employed to examine model assumptions related to the effects of (1) NH 4+ concentration variations, (2) dissolved oxygen (DO) variations, (3) NO 2− accumulations and (4) NH2OH as an externally provided substrate. The modeling results demonstrate that all these models can generally describe the NH 4+, NO 2−, and NO 3− data. However, none of these models were able to reproduce all measured N2O data. The results suggest that both the denitrification and NH2OH pathways may be involved in N2O production and could be kinetically linked by a competition for intracellular reducing equivalents. A unified model capturing both mechanisms and their potential interactions needs to be developed with consideration of physiological complexity. Biotechnol. Bioeng. 2013; 110: 153–163. © 2012 Wiley Periodicals, Inc. Reaction schemes used in the four N2O models evaluated in this study—(A) Model I: AOB denitrification pathway with NH2OH as the electron donor; (B) Model II: AOB denitrification pathway with NH3 as the electron donor; (C) Model III: the NH2OH/NOH pathway; and (D) Model IV: the NH2OH/NO pathway. Schematics adapted from Stein (2011a) and Chandran et al. (2011).
doi_str_mv 10.1002/bit.24620
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1651383878</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1651383878</sourcerecordid><originalsourceid>FETCH-LOGICAL-c5230-40a4a247c5c109508c5798d7afed36689ab04402723360ed4a28ad6099627f773</originalsourceid><addsrcrecordid>eNqFkTtvFDEUhS0EIptAwR9AlmhIMYnfjxKWkARFoVlEaXk8HuJlZrzYHsjy6_GySQoklMZX1v3usc89ALzC6AQjRE7bUE4IEwQ9AQuMtGwQ0egpWCCEREO5JgfgMOd1vUolxHNwQIiilGG-AOuzn3aYbQnTN9jHOcHRlhtfj-DsAMfY-SHXRoJTKCnOGcbb0Hm4SbGbXQlxgu0W2rnE2t3cBAftOMYp2GbHhd872da64lOwL8Cz3g7Zv7yrR-DLx7PV8qK5-nx-uXx31ThOKGoYsswSJh131QtHynGpVSdt7zsqhNK2RYwhIgmlAvmuwsp2AmktiOylpEfg7V63fvLH7HMxY8jOD4OdfHVgsOCYKqqkehxltL7EMdePo1gJTRhTuKJv_kHXdbNT9byjFKmZCVap4z3lUsw5-d5sUhht2hqMzC5WU2M1f2Ot7Os7xbkdffdA3udYgdM98CsMfvt_JfP-cnUv2ewnQi7-9mHCpu9GSCq5-Xp9bvTyeiUvPijzif4BW2-54w</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1188210064</pqid></control><display><type>article</type><title>Evaluating four mathematical models for nitrous oxide production by autotrophic ammonia-oxidizing bacteria</title><source>Wiley</source><creator>Ni, Bing-Jie ; Yuan, Zhiguo ; Chandran, Kartik ; Vanrolleghem, Peter A. ; Murthy, Sudhir</creator><creatorcontrib>Ni, Bing-Jie ; Yuan, Zhiguo ; Chandran, Kartik ; Vanrolleghem, Peter A. ; Murthy, Sudhir</creatorcontrib><description>There is increasing evidence showing that ammonia‐oxidizing bacteria (AOB) are major contributors to N2O emissions from wastewater treatment plants (WWTPs). Although the fundamental metabolic pathways for N2O production by AOB are now coming to light, the mechanisms responsible for N2O production by AOB in WWTP are not fully understood. Mathematical modeling provides a means for testing hypotheses related to mechanisms and triggers for N2O emissions in WWTP, and can then also become a tool to support the development of mitigation strategies. This study examined the ability of four mathematical model structures to describe two distinct mechanisms of N2O production by AOB. The production mechanisms evaluated are (1) N2O as the final product of nitrifier denitrification with NO 2− as the terminal electron acceptor and (2) N2O as a byproduct of incomplete oxidation of hydroxylamine (NH2OH) to NO 2−. The four models were compared based on their ability to predict N2O dynamics observed in three mixed culture studies. Short‐term batch experimental data were employed to examine model assumptions related to the effects of (1) NH 4+ concentration variations, (2) dissolved oxygen (DO) variations, (3) NO 2− accumulations and (4) NH2OH as an externally provided substrate. The modeling results demonstrate that all these models can generally describe the NH 4+, NO 2−, and NO 3− data. However, none of these models were able to reproduce all measured N2O data. The results suggest that both the denitrification and NH2OH pathways may be involved in N2O production and could be kinetically linked by a competition for intracellular reducing equivalents. A unified model capturing both mechanisms and their potential interactions needs to be developed with consideration of physiological complexity. Biotechnol. Bioeng. 2013; 110: 153–163. © 2012 Wiley Periodicals, Inc. Reaction schemes used in the four N2O models evaluated in this study—(A) Model I: AOB denitrification pathway with NH2OH as the electron donor; (B) Model II: AOB denitrification pathway with NH3 as the electron donor; (C) Model III: the NH2OH/NOH pathway; and (D) Model IV: the NH2OH/NO pathway. Schematics adapted from Stein (2011a) and Chandran et al. (2011).</description><identifier>ISSN: 0006-3592</identifier><identifier>EISSN: 1097-0290</identifier><identifier>DOI: 10.1002/bit.24620</identifier><identifier>PMID: 22833415</identifier><identifier>CODEN: BIBIAU</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc., A Wiley Company</publisher><subject>Ammonia ; Ammonia - metabolism ; ammonia-oxidizing bacteria ; Autotrophic Processes - physiology ; Bacteria ; Bacteria - metabolism ; Bioengineering ; Bioreactors - microbiology ; Denitrification ; Dissolution ; hydroxylamine ; mathematical model ; Mathematical models ; mechanisms ; Models, Biological ; nitrifier denitrification ; nitrous oxide ; Nitrous Oxide - metabolism ; Nitrous oxides ; Oxidation-Reduction ; Oxygen - metabolism ; Pathways ; Substrates ; Symbols ; Water treatment plants</subject><ispartof>Biotechnology and bioengineering, 2013-01, Vol.110 (1), p.153-163</ispartof><rights>Copyright © 2012 Wiley Periodicals, Inc.</rights><rights>Copyright John Wiley and Sons, Limited Jan 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5230-40a4a247c5c109508c5798d7afed36689ab04402723360ed4a28ad6099627f773</citedby><cites>FETCH-LOGICAL-c5230-40a4a247c5c109508c5798d7afed36689ab04402723360ed4a28ad6099627f773</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22833415$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ni, Bing-Jie</creatorcontrib><creatorcontrib>Yuan, Zhiguo</creatorcontrib><creatorcontrib>Chandran, Kartik</creatorcontrib><creatorcontrib>Vanrolleghem, Peter A.</creatorcontrib><creatorcontrib>Murthy, Sudhir</creatorcontrib><title>Evaluating four mathematical models for nitrous oxide production by autotrophic ammonia-oxidizing bacteria</title><title>Biotechnology and bioengineering</title><addtitle>Biotechnol. Bioeng</addtitle><description>There is increasing evidence showing that ammonia‐oxidizing bacteria (AOB) are major contributors to N2O emissions from wastewater treatment plants (WWTPs). Although the fundamental metabolic pathways for N2O production by AOB are now coming to light, the mechanisms responsible for N2O production by AOB in WWTP are not fully understood. Mathematical modeling provides a means for testing hypotheses related to mechanisms and triggers for N2O emissions in WWTP, and can then also become a tool to support the development of mitigation strategies. This study examined the ability of four mathematical model structures to describe two distinct mechanisms of N2O production by AOB. The production mechanisms evaluated are (1) N2O as the final product of nitrifier denitrification with NO 2− as the terminal electron acceptor and (2) N2O as a byproduct of incomplete oxidation of hydroxylamine (NH2OH) to NO 2−. The four models were compared based on their ability to predict N2O dynamics observed in three mixed culture studies. Short‐term batch experimental data were employed to examine model assumptions related to the effects of (1) NH 4+ concentration variations, (2) dissolved oxygen (DO) variations, (3) NO 2− accumulations and (4) NH2OH as an externally provided substrate. The modeling results demonstrate that all these models can generally describe the NH 4+, NO 2−, and NO 3− data. However, none of these models were able to reproduce all measured N2O data. The results suggest that both the denitrification and NH2OH pathways may be involved in N2O production and could be kinetically linked by a competition for intracellular reducing equivalents. A unified model capturing both mechanisms and their potential interactions needs to be developed with consideration of physiological complexity. Biotechnol. Bioeng. 2013; 110: 153–163. © 2012 Wiley Periodicals, Inc. Reaction schemes used in the four N2O models evaluated in this study—(A) Model I: AOB denitrification pathway with NH2OH as the electron donor; (B) Model II: AOB denitrification pathway with NH3 as the electron donor; (C) Model III: the NH2OH/NOH pathway; and (D) Model IV: the NH2OH/NO pathway. Schematics adapted from Stein (2011a) and Chandran et al. (2011).</description><subject>Ammonia</subject><subject>Ammonia - metabolism</subject><subject>ammonia-oxidizing bacteria</subject><subject>Autotrophic Processes - physiology</subject><subject>Bacteria</subject><subject>Bacteria - metabolism</subject><subject>Bioengineering</subject><subject>Bioreactors - microbiology</subject><subject>Denitrification</subject><subject>Dissolution</subject><subject>hydroxylamine</subject><subject>mathematical model</subject><subject>Mathematical models</subject><subject>mechanisms</subject><subject>Models, Biological</subject><subject>nitrifier denitrification</subject><subject>nitrous oxide</subject><subject>Nitrous Oxide - metabolism</subject><subject>Nitrous oxides</subject><subject>Oxidation-Reduction</subject><subject>Oxygen - metabolism</subject><subject>Pathways</subject><subject>Substrates</subject><subject>Symbols</subject><subject>Water treatment plants</subject><issn>0006-3592</issn><issn>1097-0290</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqFkTtvFDEUhS0EIptAwR9AlmhIMYnfjxKWkARFoVlEaXk8HuJlZrzYHsjy6_GySQoklMZX1v3usc89ALzC6AQjRE7bUE4IEwQ9AQuMtGwQ0egpWCCEREO5JgfgMOd1vUolxHNwQIiilGG-AOuzn3aYbQnTN9jHOcHRlhtfj-DsAMfY-SHXRoJTKCnOGcbb0Hm4SbGbXQlxgu0W2rnE2t3cBAftOMYp2GbHhd872da64lOwL8Cz3g7Zv7yrR-DLx7PV8qK5-nx-uXx31ThOKGoYsswSJh131QtHynGpVSdt7zsqhNK2RYwhIgmlAvmuwsp2AmktiOylpEfg7V63fvLH7HMxY8jOD4OdfHVgsOCYKqqkehxltL7EMdePo1gJTRhTuKJv_kHXdbNT9byjFKmZCVap4z3lUsw5-d5sUhht2hqMzC5WU2M1f2Ot7Os7xbkdffdA3udYgdM98CsMfvt_JfP-cnUv2ewnQi7-9mHCpu9GSCq5-Xp9bvTyeiUvPijzif4BW2-54w</recordid><startdate>201301</startdate><enddate>201301</enddate><creator>Ni, Bing-Jie</creator><creator>Yuan, Zhiguo</creator><creator>Chandran, Kartik</creator><creator>Vanrolleghem, Peter A.</creator><creator>Murthy, Sudhir</creator><general>Wiley Subscription Services, Inc., A Wiley Company</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T7</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>7X8</scope><scope>7QH</scope><scope>7QL</scope><scope>7UA</scope><scope>F1W</scope><scope>H95</scope><scope>L.G</scope><scope>7SU</scope></search><sort><creationdate>201301</creationdate><title>Evaluating four mathematical models for nitrous oxide production by autotrophic ammonia-oxidizing bacteria</title><author>Ni, Bing-Jie ; Yuan, Zhiguo ; Chandran, Kartik ; Vanrolleghem, Peter A. ; Murthy, Sudhir</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5230-40a4a247c5c109508c5798d7afed36689ab04402723360ed4a28ad6099627f773</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Ammonia</topic><topic>Ammonia - metabolism</topic><topic>ammonia-oxidizing bacteria</topic><topic>Autotrophic Processes - physiology</topic><topic>Bacteria</topic><topic>Bacteria - metabolism</topic><topic>Bioengineering</topic><topic>Bioreactors - microbiology</topic><topic>Denitrification</topic><topic>Dissolution</topic><topic>hydroxylamine</topic><topic>mathematical model</topic><topic>Mathematical models</topic><topic>mechanisms</topic><topic>Models, Biological</topic><topic>nitrifier denitrification</topic><topic>nitrous oxide</topic><topic>Nitrous Oxide - metabolism</topic><topic>Nitrous oxides</topic><topic>Oxidation-Reduction</topic><topic>Oxygen - metabolism</topic><topic>Pathways</topic><topic>Substrates</topic><topic>Symbols</topic><topic>Water treatment plants</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ni, Bing-Jie</creatorcontrib><creatorcontrib>Yuan, Zhiguo</creatorcontrib><creatorcontrib>Chandran, Kartik</creatorcontrib><creatorcontrib>Vanrolleghem, Peter A.</creatorcontrib><creatorcontrib>Murthy, Sudhir</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Aqualine</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Water Resources Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 1: Biological Sciences &amp; Living Resources</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Environmental Engineering Abstracts</collection><jtitle>Biotechnology and bioengineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ni, Bing-Jie</au><au>Yuan, Zhiguo</au><au>Chandran, Kartik</au><au>Vanrolleghem, Peter A.</au><au>Murthy, Sudhir</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluating four mathematical models for nitrous oxide production by autotrophic ammonia-oxidizing bacteria</atitle><jtitle>Biotechnology and bioengineering</jtitle><addtitle>Biotechnol. Bioeng</addtitle><date>2013-01</date><risdate>2013</risdate><volume>110</volume><issue>1</issue><spage>153</spage><epage>163</epage><pages>153-163</pages><issn>0006-3592</issn><eissn>1097-0290</eissn><coden>BIBIAU</coden><abstract>There is increasing evidence showing that ammonia‐oxidizing bacteria (AOB) are major contributors to N2O emissions from wastewater treatment plants (WWTPs). Although the fundamental metabolic pathways for N2O production by AOB are now coming to light, the mechanisms responsible for N2O production by AOB in WWTP are not fully understood. Mathematical modeling provides a means for testing hypotheses related to mechanisms and triggers for N2O emissions in WWTP, and can then also become a tool to support the development of mitigation strategies. This study examined the ability of four mathematical model structures to describe two distinct mechanisms of N2O production by AOB. The production mechanisms evaluated are (1) N2O as the final product of nitrifier denitrification with NO 2− as the terminal electron acceptor and (2) N2O as a byproduct of incomplete oxidation of hydroxylamine (NH2OH) to NO 2−. The four models were compared based on their ability to predict N2O dynamics observed in three mixed culture studies. Short‐term batch experimental data were employed to examine model assumptions related to the effects of (1) NH 4+ concentration variations, (2) dissolved oxygen (DO) variations, (3) NO 2− accumulations and (4) NH2OH as an externally provided substrate. The modeling results demonstrate that all these models can generally describe the NH 4+, NO 2−, and NO 3− data. However, none of these models were able to reproduce all measured N2O data. The results suggest that both the denitrification and NH2OH pathways may be involved in N2O production and could be kinetically linked by a competition for intracellular reducing equivalents. A unified model capturing both mechanisms and their potential interactions needs to be developed with consideration of physiological complexity. Biotechnol. Bioeng. 2013; 110: 153–163. © 2012 Wiley Periodicals, Inc. Reaction schemes used in the four N2O models evaluated in this study—(A) Model I: AOB denitrification pathway with NH2OH as the electron donor; (B) Model II: AOB denitrification pathway with NH3 as the electron donor; (C) Model III: the NH2OH/NOH pathway; and (D) Model IV: the NH2OH/NO pathway. Schematics adapted from Stein (2011a) and Chandran et al. (2011).</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc., A Wiley Company</pub><pmid>22833415</pmid><doi>10.1002/bit.24620</doi><tpages>11</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0006-3592
ispartof Biotechnology and bioengineering, 2013-01, Vol.110 (1), p.153-163
issn 0006-3592
1097-0290
language eng
recordid cdi_proquest_miscellaneous_1651383878
source Wiley
subjects Ammonia
Ammonia - metabolism
ammonia-oxidizing bacteria
Autotrophic Processes - physiology
Bacteria
Bacteria - metabolism
Bioengineering
Bioreactors - microbiology
Denitrification
Dissolution
hydroxylamine
mathematical model
Mathematical models
mechanisms
Models, Biological
nitrifier denitrification
nitrous oxide
Nitrous Oxide - metabolism
Nitrous oxides
Oxidation-Reduction
Oxygen - metabolism
Pathways
Substrates
Symbols
Water treatment plants
title Evaluating four mathematical models for nitrous oxide production by autotrophic ammonia-oxidizing bacteria
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T12%3A38%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Evaluating%20four%20mathematical%20models%20for%20nitrous%20oxide%20production%20by%20autotrophic%20ammonia-oxidizing%20bacteria&rft.jtitle=Biotechnology%20and%20bioengineering&rft.au=Ni,%20Bing-Jie&rft.date=2013-01&rft.volume=110&rft.issue=1&rft.spage=153&rft.epage=163&rft.pages=153-163&rft.issn=0006-3592&rft.eissn=1097-0290&rft.coden=BIBIAU&rft_id=info:doi/10.1002/bit.24620&rft_dat=%3Cproquest_cross%3E1651383878%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c5230-40a4a247c5c109508c5798d7afed36689ab04402723360ed4a28ad6099627f773%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1188210064&rft_id=info:pmid/22833415&rfr_iscdi=true