Loading…

A kriging interpolation strategy for the optimization of Acidithiobacillus ferrooxidans biomass production using fed-batch bioreactors

In this work, a procedure for the optimization of Acidithiobacillus ferrooxidans biomass production in fed-batch reactors using a model based on optimal spatial interpolation of experimental data is proposed. The approach is useful in those cases where specific growth and substrate consumption rates...

Full description

Saved in:
Bibliographic Details
Published in:Hydrometallurgy 2008-03, Vol.91 (1), p.130-137
Main Authors: Milocco, R.H., Gatti, M.N.
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-c373t-709cbeba913cefe51257b33d489bb83b54488e0744b45dfbbaa4c00f597552d83
cites cdi_FETCH-LOGICAL-c373t-709cbeba913cefe51257b33d489bb83b54488e0744b45dfbbaa4c00f597552d83
container_end_page 137
container_issue 1
container_start_page 130
container_title Hydrometallurgy
container_volume 91
creator Milocco, R.H.
Gatti, M.N.
description In this work, a procedure for the optimization of Acidithiobacillus ferrooxidans biomass production in fed-batch reactors using a model based on optimal spatial interpolation of experimental data is proposed. The approach is useful in those cases where specific growth and substrate consumption rates are unknown. Based on interpolation, the optimal values of biomass and substrate concentrations set points are obtained at the minimum of 2-dimensional cost function. In the fed-batch reactor biomass and substrate concentrations are controlled at their set points by changing the input flow and its concentration. We propose a minimum variance control strategy which improves the classical proportional plus integral control. Since the interpolation is optimal, the proposed linear control strategy allows obtaining a tight minimized upper bound of the variance error in the controlled variables.
doi_str_mv 10.1016/j.hydromet.2007.07.017
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_19477661</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0304386X07002617</els_id><sourcerecordid>19477661</sourcerecordid><originalsourceid>FETCH-LOGICAL-c373t-709cbeba913cefe51257b33d489bb83b54488e0744b45dfbbaa4c00f597552d83</originalsourceid><addsrcrecordid>eNqFkMuO1DAQRS3ESDQz_ALyBnZp7NiJkx2tES9pJDaMxM7yo9xdTRI3toNoPoDvnoQe2CKVVIs6t27VJeQlZ1vOePvmuD2cfYojlG3NmNquxdUTsuGd6ivOm-4p2TDBZCW69usz8jznI2OsFYpvyO8d_ZZwj9Oe4lQgneJgCsaJ5pJMgf2ZhphoOQCNp4Ij_rpMY6A7hx7LAaM1DodhzjRASjH-RG-mTC3G0eRMTyn62f0RzXm1CeAra4o7rEgC40pM-YZcBTNkePHYr8n9-3dfbj9Wd58_fLrd3VVOKFEqxXpnwZqeCwcBGl43ygrhZddb2wnbSNl1wJSUVjY-WGuMdIyFpldNU_tOXJPXl73LWd9nyEWPmB0Mg5kgzlnzXirVtnwB2wvoUsw5QdCnhKNJZ82ZXmPXR_03dr3GrtfiahG-enQw2ZkhJDM5zP_UNau5akW_cG8vHCzv_kBIOjuEyYHHBK5oH_F_Vg8g5aEj</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>19477661</pqid></control><display><type>article</type><title>A kriging interpolation strategy for the optimization of Acidithiobacillus ferrooxidans biomass production using fed-batch bioreactors</title><source>Elsevier:Jisc Collections:Elsevier Read and Publish Agreement 2022-2024:Freedom Collection (Reading list)</source><creator>Milocco, R.H. ; Gatti, M.N.</creator><creatorcontrib>Milocco, R.H. ; Gatti, M.N.</creatorcontrib><description>In this work, a procedure for the optimization of Acidithiobacillus ferrooxidans biomass production in fed-batch reactors using a model based on optimal spatial interpolation of experimental data is proposed. The approach is useful in those cases where specific growth and substrate consumption rates are unknown. Based on interpolation, the optimal values of biomass and substrate concentrations set points are obtained at the minimum of 2-dimensional cost function. In the fed-batch reactor biomass and substrate concentrations are controlled at their set points by changing the input flow and its concentration. We propose a minimum variance control strategy which improves the classical proportional plus integral control. Since the interpolation is optimal, the proposed linear control strategy allows obtaining a tight minimized upper bound of the variance error in the controlled variables.</description><identifier>ISSN: 0304-386X</identifier><identifier>EISSN: 1879-1158</identifier><identifier>DOI: 10.1016/j.hydromet.2007.07.017</identifier><identifier>CODEN: HYDRDA</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Acidithiobacillus ferrooxidans ; Applied sciences ; Bioleaching ; Bioreactors ; Exact sciences and technology ; Kriging interpolation ; Metals. Metallurgy ; Modeling ; Nonlinear dynamics ; Optimization ; Production of metals</subject><ispartof>Hydrometallurgy, 2008-03, Vol.91 (1), p.130-137</ispartof><rights>2007 Elsevier B.V.</rights><rights>2008 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c373t-709cbeba913cefe51257b33d489bb83b54488e0744b45dfbbaa4c00f597552d83</citedby><cites>FETCH-LOGICAL-c373t-709cbeba913cefe51257b33d489bb83b54488e0744b45dfbbaa4c00f597552d83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=20217639$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Milocco, R.H.</creatorcontrib><creatorcontrib>Gatti, M.N.</creatorcontrib><title>A kriging interpolation strategy for the optimization of Acidithiobacillus ferrooxidans biomass production using fed-batch bioreactors</title><title>Hydrometallurgy</title><description>In this work, a procedure for the optimization of Acidithiobacillus ferrooxidans biomass production in fed-batch reactors using a model based on optimal spatial interpolation of experimental data is proposed. The approach is useful in those cases where specific growth and substrate consumption rates are unknown. Based on interpolation, the optimal values of biomass and substrate concentrations set points are obtained at the minimum of 2-dimensional cost function. In the fed-batch reactor biomass and substrate concentrations are controlled at their set points by changing the input flow and its concentration. We propose a minimum variance control strategy which improves the classical proportional plus integral control. Since the interpolation is optimal, the proposed linear control strategy allows obtaining a tight minimized upper bound of the variance error in the controlled variables.</description><subject>Acidithiobacillus ferrooxidans</subject><subject>Applied sciences</subject><subject>Bioleaching</subject><subject>Bioreactors</subject><subject>Exact sciences and technology</subject><subject>Kriging interpolation</subject><subject>Metals. Metallurgy</subject><subject>Modeling</subject><subject>Nonlinear dynamics</subject><subject>Optimization</subject><subject>Production of metals</subject><issn>0304-386X</issn><issn>1879-1158</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><recordid>eNqFkMuO1DAQRS3ESDQz_ALyBnZp7NiJkx2tES9pJDaMxM7yo9xdTRI3toNoPoDvnoQe2CKVVIs6t27VJeQlZ1vOePvmuD2cfYojlG3NmNquxdUTsuGd6ivOm-4p2TDBZCW69usz8jznI2OsFYpvyO8d_ZZwj9Oe4lQgneJgCsaJ5pJMgf2ZhphoOQCNp4Ij_rpMY6A7hx7LAaM1DodhzjRASjH-RG-mTC3G0eRMTyn62f0RzXm1CeAra4o7rEgC40pM-YZcBTNkePHYr8n9-3dfbj9Wd58_fLrd3VVOKFEqxXpnwZqeCwcBGl43ygrhZddb2wnbSNl1wJSUVjY-WGuMdIyFpldNU_tOXJPXl73LWd9nyEWPmB0Mg5kgzlnzXirVtnwB2wvoUsw5QdCnhKNJZ82ZXmPXR_03dr3GrtfiahG-enQw2ZkhJDM5zP_UNau5akW_cG8vHCzv_kBIOjuEyYHHBK5oH_F_Vg8g5aEj</recordid><startdate>20080301</startdate><enddate>20080301</enddate><creator>Milocco, R.H.</creator><creator>Gatti, M.N.</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>7QO</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H96</scope><scope>L.G</scope><scope>P64</scope></search><sort><creationdate>20080301</creationdate><title>A kriging interpolation strategy for the optimization of Acidithiobacillus ferrooxidans biomass production using fed-batch bioreactors</title><author>Milocco, R.H. ; Gatti, M.N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c373t-709cbeba913cefe51257b33d489bb83b54488e0744b45dfbbaa4c00f597552d83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Acidithiobacillus ferrooxidans</topic><topic>Applied sciences</topic><topic>Bioleaching</topic><topic>Bioreactors</topic><topic>Exact sciences and technology</topic><topic>Kriging interpolation</topic><topic>Metals. Metallurgy</topic><topic>Modeling</topic><topic>Nonlinear dynamics</topic><topic>Optimization</topic><topic>Production of metals</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Milocco, R.H.</creatorcontrib><creatorcontrib>Gatti, M.N.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Hydrometallurgy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Milocco, R.H.</au><au>Gatti, M.N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A kriging interpolation strategy for the optimization of Acidithiobacillus ferrooxidans biomass production using fed-batch bioreactors</atitle><jtitle>Hydrometallurgy</jtitle><date>2008-03-01</date><risdate>2008</risdate><volume>91</volume><issue>1</issue><spage>130</spage><epage>137</epage><pages>130-137</pages><issn>0304-386X</issn><eissn>1879-1158</eissn><coden>HYDRDA</coden><abstract>In this work, a procedure for the optimization of Acidithiobacillus ferrooxidans biomass production in fed-batch reactors using a model based on optimal spatial interpolation of experimental data is proposed. The approach is useful in those cases where specific growth and substrate consumption rates are unknown. Based on interpolation, the optimal values of biomass and substrate concentrations set points are obtained at the minimum of 2-dimensional cost function. In the fed-batch reactor biomass and substrate concentrations are controlled at their set points by changing the input flow and its concentration. We propose a minimum variance control strategy which improves the classical proportional plus integral control. Since the interpolation is optimal, the proposed linear control strategy allows obtaining a tight minimized upper bound of the variance error in the controlled variables.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.hydromet.2007.07.017</doi><tpages>8</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0304-386X
ispartof Hydrometallurgy, 2008-03, Vol.91 (1), p.130-137
issn 0304-386X
1879-1158
language eng
recordid cdi_proquest_miscellaneous_19477661
source Elsevier:Jisc Collections:Elsevier Read and Publish Agreement 2022-2024:Freedom Collection (Reading list)
subjects Acidithiobacillus ferrooxidans
Applied sciences
Bioleaching
Bioreactors
Exact sciences and technology
Kriging interpolation
Metals. Metallurgy
Modeling
Nonlinear dynamics
Optimization
Production of metals
title A kriging interpolation strategy for the optimization of Acidithiobacillus ferrooxidans biomass production using fed-batch bioreactors
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-22T16%3A23%3A24IST&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=A%20kriging%20interpolation%20strategy%20for%20the%20optimization%20of%20Acidithiobacillus%20ferrooxidans%20biomass%20production%20using%20fed-batch%20bioreactors&rft.jtitle=Hydrometallurgy&rft.au=Milocco,%20R.H.&rft.date=2008-03-01&rft.volume=91&rft.issue=1&rft.spage=130&rft.epage=137&rft.pages=130-137&rft.issn=0304-386X&rft.eissn=1879-1158&rft.coden=HYDRDA&rft_id=info:doi/10.1016/j.hydromet.2007.07.017&rft_dat=%3Cproquest_cross%3E19477661%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c373t-709cbeba913cefe51257b33d489bb83b54488e0744b45dfbbaa4c00f597552d83%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=19477661&rft_id=info:pmid/&rfr_iscdi=true