A possible predictive mathematical model for the growth of a periphytic alga

Algae are photosynthetic organisms and have qualities that are very attractive for cultivation and industrial development for commercial purposes. When algal growth is analyzed for the production of biomass usually only the exponential phase of the growth curve is considered and the other phases are...

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Autores:
Agredo, Julián
J, Cárdenas Poblador
M L, Ortiz Moreno
A, Vega Moreno
Tipo de recurso:
Article of journal
Fecha de publicación:
2022
Institución:
Escuela Colombiana de Ingeniería Julio Garavito
Repositorio:
Repositorio Institucional ECI
Idioma:
eng
OAI Identifier:
oai:repositorio.escuelaing.edu.co:001/2333
Acceso en línea:
https://repositorio.escuelaing.edu.co/handle/001/2333
https://iopscience.iop.org/article/10.1088/1742-6596/2159/1/012004/pdf
Palabra clave:
Modelos matemáticos
Ecuación discreta
Matemáticas
Modelos matemáticos
Ecuación discreta
Matemáticas
Mathematical models
Discrete equation
Math
Rights
openAccess
License
http://purl.org/coar/access_right/c_abf2
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repository_id_str
dc.title.eng.fl_str_mv A possible predictive mathematical model for the growth of a periphytic alga
title A possible predictive mathematical model for the growth of a periphytic alga
spellingShingle A possible predictive mathematical model for the growth of a periphytic alga
Modelos matemáticos
Ecuación discreta
Matemáticas
Modelos matemáticos
Ecuación discreta
Matemáticas
Mathematical models
Discrete equation
Math
title_short A possible predictive mathematical model for the growth of a periphytic alga
title_full A possible predictive mathematical model for the growth of a periphytic alga
title_fullStr A possible predictive mathematical model for the growth of a periphytic alga
title_full_unstemmed A possible predictive mathematical model for the growth of a periphytic alga
title_sort A possible predictive mathematical model for the growth of a periphytic alga
dc.creator.fl_str_mv Agredo, Julián
J, Cárdenas Poblador
M L, Ortiz Moreno
A, Vega Moreno
dc.contributor.author.none.fl_str_mv Agredo, Julián
J, Cárdenas Poblador
M L, Ortiz Moreno
A, Vega Moreno
dc.contributor.publisher.eng.fl_str_mv IOP Publishing Ltd
dc.contributor.researchgroup.spa.fl_str_mv GIMATH: Grupo de investigación en Matemáticas de la Escuela Colombiana de Ingeniería
dc.subject.armarc.none.fl_str_mv Modelos matemáticos
Ecuación discreta
Matemáticas
topic Modelos matemáticos
Ecuación discreta
Matemáticas
Modelos matemáticos
Ecuación discreta
Matemáticas
Mathematical models
Discrete equation
Math
dc.subject.proposal.spa.fl_str_mv Modelos matemáticos
Ecuación discreta
Matemáticas
dc.subject.proposal.eng.fl_str_mv Mathematical models
Discrete equation
Math
description Algae are photosynthetic organisms and have qualities that are very attractive for cultivation and industrial development for commercial purposes. When algal growth is analyzed for the production of biomass usually only the exponential phase of the growth curve is considered and the other phases are ignored. The objective of the work is to present a possible predictive mathematical model that allows a better understanding of the kinetic behavior of a periphytic microalgae by means of the use of the Smoluchowski discrete equation, with special emphasis on the lag phase. More specifically, unknown connection between the discrete Smoluchowski equation and the deterministic Baranyi model is shown in the present study. Analysis of this connection leads to a possible predictive mathematical model about of the kinetic behavior of a periphytic microalgae.
publishDate 2022
dc.date.issued.none.fl_str_mv 2022
dc.date.accessioned.none.fl_str_mv 2023-05-15T20:30:25Z
dc.date.available.none.fl_str_mv 2023-05-15T20:30:25Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.issn.spa.fl_str_mv 1742-6596
dc.identifier.uri.none.fl_str_mv https://repositorio.escuelaing.edu.co/handle/001/2333
dc.identifier.doi.none.fl_str_mv 10.1088/1742-6596/2159/1/012004
dc.identifier.url.none.fl_str_mv https://iopscience.iop.org/article/10.1088/1742-6596/2159/1/012004/pdf
identifier_str_mv 1742-6596
10.1088/1742-6596/2159/1/012004
url https://repositorio.escuelaing.edu.co/handle/001/2333
https://iopscience.iop.org/article/10.1088/1742-6596/2159/1/012004/pdf
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationedition.spa.fl_str_mv Journal of Physics: Conference Series, Volume 2159, VIII International Conference Days of Applied Mathematics (VIII ICDAM) 20-22 October 2021, San José de Cúcuta, Colombia
dc.relation.citationendpage.spa.fl_str_mv 8
dc.relation.citationstartpage.spa.fl_str_mv 1
dc.relation.citationvolume.spa.fl_str_mv 2159
dc.relation.indexed.spa.fl_str_mv N/A
dc.relation.ispartofjournal.eng.fl_str_mv Journal of Physics: Conference Series
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eu_rights_str_mv openAccess
rights_invalid_str_mv http://purl.org/coar/access_right/c_abf2
dc.format.extent.spa.fl_str_mv 9 páginas
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.place.spa.fl_str_mv San José de Cúcuta, Colombia
institution Escuela Colombiana de Ingeniería Julio Garavito
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spelling Agredo, Juliáneb075c3df2f17618f2993b7a55824937600J, Cárdenas Poblador6967fd36ed15c42e432e1465aa32cb88600M L, Ortiz Moreno58d2091281c5d12dcc28593a21a66fb3600A, Vega Moreno642538bba224872204e883e5f74ff689600IOP Publishing LtdGIMATH: Grupo de investigación en Matemáticas de la Escuela Colombiana de Ingeniería2023-05-15T20:30:25Z2023-05-15T20:30:25Z20221742-6596https://repositorio.escuelaing.edu.co/handle/001/233310.1088/1742-6596/2159/1/012004https://iopscience.iop.org/article/10.1088/1742-6596/2159/1/012004/pdfAlgae are photosynthetic organisms and have qualities that are very attractive for cultivation and industrial development for commercial purposes. When algal growth is analyzed for the production of biomass usually only the exponential phase of the growth curve is considered and the other phases are ignored. The objective of the work is to present a possible predictive mathematical model that allows a better understanding of the kinetic behavior of a periphytic microalgae by means of the use of the Smoluchowski discrete equation, with special emphasis on the lag phase. More specifically, unknown connection between the discrete Smoluchowski equation and the deterministic Baranyi model is shown in the present study. Analysis of this connection leads to a possible predictive mathematical model about of the kinetic behavior of a periphytic microalgae.Las algas son organismos fotosintéticos y poseen cualidades muy atractivas para su cultivo y desarrollo industrial con fines comerciales. Cuando se analiza el crecimiento de algas para la producción de biomasa, generalmente solo se considera la fase exponencial de la curva de crecimiento y se ignoran las otras fases. El objetivo del trabajo es presentar un posible modelo matemático predictivo que permita una mejor comprensión del comportamiento cinético de una microalga perifítica mediante el uso de la ecuación discreta de Smoluchowski, con especial énfasis en la fase de latencia. Más específicamente, en el presente estudio se muestra una conexión desconocida entre la ecuación discreta de Smoluchowski y el modelo determinista de Baranyi. El análisis de esta conexión conduce a un posible modelo matemático predictivo sobre el comportamiento cinético de una microalga perifítica.9 páginasapplication/pdfengA possible predictive mathematical model for the growth of a periphytic algaArtículo de revistainfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85San José de Cúcuta, ColombiaJournal of Physics: Conference Series, Volume 2159, VIII International Conference Days of Applied Mathematics (VIII ICDAM) 20-22 October 2021, San José de Cúcuta, Colombia812159N/AJournal of Physics: Conference Seriesinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Modelos matemáticosEcuación discretaMatemáticasModelos matemáticosEcuación discretaMatemáticasMathematical modelsDiscrete equationMathORIGINALA possible predictive mathematical model for the growth of a periphytic alga.pdfA possible predictive mathematical model for the growth of a periphytic alga.pdfArtículo de revistaapplication/pdf328753https://repositorio.escuelaing.edu.co/bitstream/001/2333/5/A%20possible%20predictive%20mathematical%20model%20for%20the%20growth%20of%20a%20periphytic%20alga.pdf7718cb7151285ac8c37f4ff23d0bfb9fMD55open accessTHUMBNAILA possible predictive mathematical model for the growth of a periphytic alga.pdf.jpgA possible predictive mathematical model for the growth of a periphytic alga.pdf.jpgGenerated Thumbnailimage/jpeg9036https://repositorio.escuelaing.edu.co/bitstream/001/2333/4/A%20possible%20predictive%20mathematical%20model%20for%20the%20growth%20of%20a%20periphytic%20alga.pdf.jpg32922994f18d320566f2e19d6a9f14cdMD54open accessTEXTA possible predictive mathematical model for the growth of a periphytic alga.pdf.txtA possible predictive mathematical model for the growth of a periphytic alga.pdf.txtExtracted texttext/plain18603https://repositorio.escuelaing.edu.co/bitstream/001/2333/3/A%20possible%20predictive%20mathematical%20model%20for%20the%20growth%20of%20a%20periphytic%20alga.pdf.txtd0a395a0e0b2b0e95ff89d59c59ca4bfMD53open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-81881https://repositorio.escuelaing.edu.co/bitstream/001/2333/2/license.txt5a7ca94c2e5326ee169f979d71d0f06eMD52open access001/2333oai:repositorio.escuelaing.edu.co:001/23332023-06-22 16:39:37.326open accessRepositorio Escuela Colombiana de Ingeniería Julio Garavitorepositorio.eci@escuelaing.edu.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