Application of multivariate image analysis for on-line monitoring of a freeze-drying process for pharmaceutical products in vials

[EN] A new Process Analytical Technology (PAT) has been developed and tested for on-line process monitoring of a vacuum freeze-drying process. The sensor uses an infrared camera to obtain thermal images of the ongoing process and multivariate image analysis (MIA) to extract the information. A refere...

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Detalles Bibliográficos
Autores: Colucci, D., Fisore, D., Prats-Montalbán, José Manuel|||0000-0001-6294-4486, Ferrer, Alberto|||0000-0001-7244-5947
Tipo de recurso: artículo
Fecha de publicación:2019
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/120993
Acceso en línea:https://riunet.upv.es/handle/10251/120993
Access Level:acceso abierto
Palabra clave:Multivariate image analysis
Process monitoring
Infrared image
Batch process
ESTADISTICA E INVESTIGACION OPERATIVA
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spelling Application of multivariate image analysis for on-line monitoring of a freeze-drying process for pharmaceutical products in vialsColucci, D.Fisore, D.Prats-Montalbán, José Manuel|||0000-0001-6294-4486Ferrer, Alberto|||0000-0001-7244-5947Multivariate image analysisProcess monitoringInfrared imageBatch processESTADISTICA E INVESTIGACION OPERATIVA[EN] A new Process Analytical Technology (PAT) has been developed and tested for on-line process monitoring of a vacuum freeze-drying process. The sensor uses an infrared camera to obtain thermal images of the ongoing process and multivariate image analysis (MIA) to extract the information. A reference model was built and different kind of anomalous events were simulated to test the capacity of the system to promptly identify them. Two different data structures and two different algorithms for the imputation of the missing information have been tested and compared. Results show that the MIA-based PAT system is able to efficiently detect on-line undesired events occurring during the vacuum freeze-drying process.The authors would like to acknowledge Elena Lietta for her support in the experimental investigation. This research work was partially supported by the Spanish Ministry of Economy, Industry and Competitiveness under the project DPI2017-82896-C2-1-R.ElsevierDepartamento de Estadística e Investigación Operativa Aplicadas y CalidadEscuela Técnica Superior de Ingeniería IndustrialGrupo de Ingeniería Estadística Multivariante GIEMAgencia Estatal de InvestigaciónRepositorio Institucional de la Universitat Politècnica de València Riunet20192019-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/120993reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 DPI2017-82896-C2-1-R DISEÑO, CARACTERIZACION Y AJUSTE OPTIMO DE BIOCIRCUITOS SINTETICOS PARA BIOPRODUCCION CON CONTROL DE CARGA METABOLICAopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1209932026-06-13T07:49:27Z
dc.title.none.fl_str_mv Application of multivariate image analysis for on-line monitoring of a freeze-drying process for pharmaceutical products in vials
title Application of multivariate image analysis for on-line monitoring of a freeze-drying process for pharmaceutical products in vials
spellingShingle Application of multivariate image analysis for on-line monitoring of a freeze-drying process for pharmaceutical products in vials
Colucci, D.
Multivariate image analysis
Process monitoring
Infrared image
Batch process
ESTADISTICA E INVESTIGACION OPERATIVA
title_short Application of multivariate image analysis for on-line monitoring of a freeze-drying process for pharmaceutical products in vials
title_full Application of multivariate image analysis for on-line monitoring of a freeze-drying process for pharmaceutical products in vials
title_fullStr Application of multivariate image analysis for on-line monitoring of a freeze-drying process for pharmaceutical products in vials
title_full_unstemmed Application of multivariate image analysis for on-line monitoring of a freeze-drying process for pharmaceutical products in vials
title_sort Application of multivariate image analysis for on-line monitoring of a freeze-drying process for pharmaceutical products in vials
dc.creator.none.fl_str_mv Colucci, D.
Fisore, D.
Prats-Montalbán, José Manuel|||0000-0001-6294-4486
Ferrer, Alberto|||0000-0001-7244-5947
author Colucci, D.
author_facet Colucci, D.
Fisore, D.
Prats-Montalbán, José Manuel|||0000-0001-6294-4486
Ferrer, Alberto|||0000-0001-7244-5947
author_role author
author2 Fisore, D.
Prats-Montalbán, José Manuel|||0000-0001-6294-4486
Ferrer, Alberto|||0000-0001-7244-5947
author2_role author
author
author
dc.contributor.none.fl_str_mv Departamento de Estadística e Investigación Operativa Aplicadas y Calidad
Escuela Técnica Superior de Ingeniería Industrial
Grupo de Ingeniería Estadística Multivariante GIEM
Agencia Estatal de Investigación
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Multivariate image analysis
Process monitoring
Infrared image
Batch process
ESTADISTICA E INVESTIGACION OPERATIVA
topic Multivariate image analysis
Process monitoring
Infrared image
Batch process
ESTADISTICA E INVESTIGACION OPERATIVA
description [EN] A new Process Analytical Technology (PAT) has been developed and tested for on-line process monitoring of a vacuum freeze-drying process. The sensor uses an infrared camera to obtain thermal images of the ongoing process and multivariate image analysis (MIA) to extract the information. A reference model was built and different kind of anomalous events were simulated to test the capacity of the system to promptly identify them. Two different data structures and two different algorithms for the imputation of the missing information have been tested and compared. Results show that the MIA-based PAT system is able to efficiently detect on-line undesired events occurring during the vacuum freeze-drying process.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/120993
url https://riunet.upv.es/handle/10251/120993
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 DPI2017-82896-C2-1-R DISEÑO, CARACTERIZACION Y AJUSTE OPTIMO DE BIOCIRCUITOS SINTETICOS PARA BIOPRODUCCION CON CONTROL DE CARGA METABOLICA
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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