Loading…
An integrated modeling of stoichiometry and biokinetics of anaerobic processes
The objective of this paper was to present an integrated modeling approach to biokinetics and stoichiometry of anaerobic treatment processes. A software system has been developed to calculate bacterial yield coefficients from stoichiometry under different anaerobic bioprocess conditions. Kinetic con...
Saved in:
Published in: | Environmental software 1994, Vol.9 (1), p.33-45 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | cdi_FETCH-LOGICAL-c316t-95820b3af7cab434ca6c36c98ff5ada58f9529907287dce029dc7c2df82be3863 |
container_end_page | 45 |
container_issue | 1 |
container_start_page | 33 |
container_title | Environmental software |
container_volume | 9 |
creator | Bhattacharya, S.K. Todd, J.C. Law, V.J. Uberoi, V. |
description | The objective of this paper was to present an integrated modeling approach to biokinetics and stoichiometry of anaerobic treatment processes. A software system has been developed to calculate bacterial yield coefficients from stoichiometry under different anaerobic bioprocess conditions. Kinetic constants, i.e., the reaction rate constant and Monod half-velocity coefficient, were determined from batch experimental data using Conreg, a software system for constrained nonlinear regression. Additional experiments were performed to evaluate the usefulness of the Inhibition Coefficient model to predict toxicity of ammonia and methylene chloride in anaerobic batch systems. The integrated approach to biokinetics and stoichiometry and the software developed for this purpose should help engineers quickly evaluate a wide variety of design options for anaerobic treatment systems under both toxic and non-toxic conditions. Other useful applications include prediction of natural rates of methane (a gas causing global warming) formation in rice paddies. |
doi_str_mv | 10.1016/0266-9838(94)90013-2 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_745653333</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>0266983894900132</els_id><sourcerecordid>26498560</sourcerecordid><originalsourceid>FETCH-LOGICAL-c316t-95820b3af7cab434ca6c36c98ff5ada58f9529907287dce029dc7c2df82be3863</originalsourceid><addsrcrecordid>eNp9kEtPwzAQhH0AiVL4Bxxy4nEIOHbi2BekquIlVXCBs-WsN8WQxsV2kfrvSSji2L2sNPpmVjuEnBX0uqCFuKFMiFxJLi9VeaUoLXjODsjkXz4ixzF-DHotpJqQ51mfuT7hMpiENlt5i53rl5lvs5i8g3fnV5jCNjO9zRrnP12PyUEcAdMbDL5xkK2DB4wR4wk5bE0X8fRvT8nb_d3r_DFfvDw8zWeLHHghUq4qyWjDTVuDaUpeghHABSjZtpWxppKtqphStGaytoCUKQs1MNtK1iCXgk_JxS53uPy1wZj0ykXArjM9-k3UdVmJio8zJed7SSZKJStBB7DcgRB8jAFbvQ5uZcJWF1SP1eqxQz12qFWpf6vVbLDd7mw4vPvtMOgIDntA6wJC0ta7_QE_8nWDEQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>26498560</pqid></control><display><type>article</type><title>An integrated modeling of stoichiometry and biokinetics of anaerobic processes</title><source>Elsevier SD Backfile Environmental Sciences</source><creator>Bhattacharya, S.K. ; Todd, J.C. ; Law, V.J. ; Uberoi, V.</creator><creatorcontrib>Bhattacharya, S.K. ; Todd, J.C. ; Law, V.J. ; Uberoi, V.</creatorcontrib><description>The objective of this paper was to present an integrated modeling approach to biokinetics and stoichiometry of anaerobic treatment processes. A software system has been developed to calculate bacterial yield coefficients from stoichiometry under different anaerobic bioprocess conditions. Kinetic constants, i.e., the reaction rate constant and Monod half-velocity coefficient, were determined from batch experimental data using Conreg, a software system for constrained nonlinear regression. Additional experiments were performed to evaluate the usefulness of the Inhibition Coefficient model to predict toxicity of ammonia and methylene chloride in anaerobic batch systems. The integrated approach to biokinetics and stoichiometry and the software developed for this purpose should help engineers quickly evaluate a wide variety of design options for anaerobic treatment systems under both toxic and non-toxic conditions. Other useful applications include prediction of natural rates of methane (a gas causing global warming) formation in rice paddies.</description><identifier>ISSN: 0266-9838</identifier><identifier>DOI: 10.1016/0266-9838(94)90013-2</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>ammonia ; anaerobic ; Biokinetics ; methane ; methylene chloride ; modeling ; stoichiometry</subject><ispartof>Environmental software, 1994, Vol.9 (1), p.33-45</ispartof><rights>1994</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c316t-95820b3af7cab434ca6c36c98ff5ada58f9529907287dce029dc7c2df82be3863</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/0266983894900132$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3482,4024,27923,27924,27925,45993</link.rule.ids></links><search><creatorcontrib>Bhattacharya, S.K.</creatorcontrib><creatorcontrib>Todd, J.C.</creatorcontrib><creatorcontrib>Law, V.J.</creatorcontrib><creatorcontrib>Uberoi, V.</creatorcontrib><title>An integrated modeling of stoichiometry and biokinetics of anaerobic processes</title><title>Environmental software</title><description>The objective of this paper was to present an integrated modeling approach to biokinetics and stoichiometry of anaerobic treatment processes. A software system has been developed to calculate bacterial yield coefficients from stoichiometry under different anaerobic bioprocess conditions. Kinetic constants, i.e., the reaction rate constant and Monod half-velocity coefficient, were determined from batch experimental data using Conreg, a software system for constrained nonlinear regression. Additional experiments were performed to evaluate the usefulness of the Inhibition Coefficient model to predict toxicity of ammonia and methylene chloride in anaerobic batch systems. The integrated approach to biokinetics and stoichiometry and the software developed for this purpose should help engineers quickly evaluate a wide variety of design options for anaerobic treatment systems under both toxic and non-toxic conditions. Other useful applications include prediction of natural rates of methane (a gas causing global warming) formation in rice paddies.</description><subject>ammonia</subject><subject>anaerobic</subject><subject>Biokinetics</subject><subject>methane</subject><subject>methylene chloride</subject><subject>modeling</subject><subject>stoichiometry</subject><issn>0266-9838</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1994</creationdate><recordtype>article</recordtype><recordid>eNp9kEtPwzAQhH0AiVL4Bxxy4nEIOHbi2BekquIlVXCBs-WsN8WQxsV2kfrvSSji2L2sNPpmVjuEnBX0uqCFuKFMiFxJLi9VeaUoLXjODsjkXz4ixzF-DHotpJqQ51mfuT7hMpiENlt5i53rl5lvs5i8g3fnV5jCNjO9zRrnP12PyUEcAdMbDL5xkK2DB4wR4wk5bE0X8fRvT8nb_d3r_DFfvDw8zWeLHHghUq4qyWjDTVuDaUpeghHABSjZtpWxppKtqphStGaytoCUKQs1MNtK1iCXgk_JxS53uPy1wZj0ykXArjM9-k3UdVmJio8zJed7SSZKJStBB7DcgRB8jAFbvQ5uZcJWF1SP1eqxQz12qFWpf6vVbLDd7mw4vPvtMOgIDntA6wJC0ta7_QE_8nWDEQ</recordid><startdate>1994</startdate><enddate>1994</enddate><creator>Bhattacharya, S.K.</creator><creator>Todd, J.C.</creator><creator>Law, V.J.</creator><creator>Uberoi, V.</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7QO</scope><scope>FR3</scope><scope>P64</scope></search><sort><creationdate>1994</creationdate><title>An integrated modeling of stoichiometry and biokinetics of anaerobic processes</title><author>Bhattacharya, S.K. ; Todd, J.C. ; Law, V.J. ; Uberoi, V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-95820b3af7cab434ca6c36c98ff5ada58f9529907287dce029dc7c2df82be3863</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1994</creationdate><topic>ammonia</topic><topic>anaerobic</topic><topic>Biokinetics</topic><topic>methane</topic><topic>methylene chloride</topic><topic>modeling</topic><topic>stoichiometry</topic><toplevel>online_resources</toplevel><creatorcontrib>Bhattacharya, S.K.</creatorcontrib><creatorcontrib>Todd, J.C.</creatorcontrib><creatorcontrib>Law, V.J.</creatorcontrib><creatorcontrib>Uberoi, V.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</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 Research Abstracts</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Environmental software</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bhattacharya, S.K.</au><au>Todd, J.C.</au><au>Law, V.J.</au><au>Uberoi, V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An integrated modeling of stoichiometry and biokinetics of anaerobic processes</atitle><jtitle>Environmental software</jtitle><date>1994</date><risdate>1994</risdate><volume>9</volume><issue>1</issue><spage>33</spage><epage>45</epage><pages>33-45</pages><issn>0266-9838</issn><abstract>The objective of this paper was to present an integrated modeling approach to biokinetics and stoichiometry of anaerobic treatment processes. A software system has been developed to calculate bacterial yield coefficients from stoichiometry under different anaerobic bioprocess conditions. Kinetic constants, i.e., the reaction rate constant and Monod half-velocity coefficient, were determined from batch experimental data using Conreg, a software system for constrained nonlinear regression. Additional experiments were performed to evaluate the usefulness of the Inhibition Coefficient model to predict toxicity of ammonia and methylene chloride in anaerobic batch systems. The integrated approach to biokinetics and stoichiometry and the software developed for this purpose should help engineers quickly evaluate a wide variety of design options for anaerobic treatment systems under both toxic and non-toxic conditions. Other useful applications include prediction of natural rates of methane (a gas causing global warming) formation in rice paddies.</abstract><pub>Elsevier B.V</pub><doi>10.1016/0266-9838(94)90013-2</doi><tpages>13</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0266-9838 |
ispartof | Environmental software, 1994, Vol.9 (1), p.33-45 |
issn | 0266-9838 |
language | eng |
recordid | cdi_proquest_miscellaneous_745653333 |
source | Elsevier SD Backfile Environmental Sciences |
subjects | ammonia anaerobic Biokinetics methane methylene chloride modeling stoichiometry |
title | An integrated modeling of stoichiometry and biokinetics of anaerobic processes |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T12%3A22%3A14IST&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=An%20integrated%20modeling%20of%20stoichiometry%20and%20biokinetics%20of%20anaerobic%20processes&rft.jtitle=Environmental%20software&rft.au=Bhattacharya,%20S.K.&rft.date=1994&rft.volume=9&rft.issue=1&rft.spage=33&rft.epage=45&rft.pages=33-45&rft.issn=0266-9838&rft_id=info:doi/10.1016/0266-9838(94)90013-2&rft_dat=%3Cproquest_cross%3E26498560%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c316t-95820b3af7cab434ca6c36c98ff5ada58f9529907287dce029dc7c2df82be3863%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=26498560&rft_id=info:pmid/&rfr_iscdi=true |