Corona discharge induced plasma spectroscopy (CDIPS) for quantitative analysis of gas mixtures

Autores
Vorobioff, Juan; Boggio, Norberto Gabriel; Moncayo, S.; Caceres, J. O.; Rinaldi, Carlos Alberto
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The capability of the Corona Discharge Induced Plasma Spectroscopy (CDIPS) technique has been demonstrated for quantitative analysis of nitrogen–oxygen mixtures. Optical emission of the induced plasma in combination with multivariate chemometric methods of calibration such as Partial Least Squares (PLS) regression and Neural Networks (NNs) was able to produce a highly dynamic calibration curve (from 0% to 100% of O2/N2 mixtures) with a high sensitivity, for the measurement of medical grade O2 and N2. The predictive ability of NNs, supported by nonlinear data modelling, can be useful in the quantitative analysis, overcoming experimental effects and producing a smaller relative error in comparison to PLS. For validation purposes, all samples were also analyzed by gas chromatography showing an excellent agreement in the O2/N2 compositions measured within the limit of relative error. The methodology presented shows high potential as an alternative method for the monitoring and analysis of oxygen and nitrogen mixtures in production systems, especially for medical applications.
Fil: Vorobioff, Juan. Comisión Nacional de Energía Atómica. Gerencia de Área de Investigación y Aplicaciones no Nucleares. Gerencia de Desarrollo Tecnológico y Proyectos Especiales. Departamento de Micro y Nanotecnología; Argentina
Fil: Boggio, Norberto Gabriel. Comisión Nacional de Energía Atómica. Gerencia de Área de Investigación y Aplicaciones no Nucleares. Gerencia de Desarrollo Tecnológico y Proyectos Especiales. Departamento de Micro y Nanotecnología; Argentina. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Moncayo, S.. Universidad Complutense de Madrid; España
Fil: Caceres, J. O.. Universidad Complutense de Madrid; España
Fil: Rinaldi, Carlos Alberto. Comisión Nacional de Energía Atómica. Gerencia de Área de Investigación y Aplicaciones no Nucleares. Gerencia de Desarrollo Tecnológico y Proyectos Especiales. Departamento de Micro y Nanotecnología; Argentina. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Espectroscopia de Plasma
Descarga Corona
Analisis de Gases
Cdips
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/46826
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/46826
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Corona discharge induced plasma spectroscopy (CDIPS) for quantitative analysis of gas mixturesVorobioff, JuanBoggio, Norberto GabrielMoncayo, S.Caceres, J. O.Rinaldi, Carlos AlbertoEspectroscopia de PlasmaDescarga CoronaAnalisis de GasesCdipshttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1The capability of the Corona Discharge Induced Plasma Spectroscopy (CDIPS) technique has been demonstrated for quantitative analysis of nitrogen–oxygen mixtures. Optical emission of the induced plasma in combination with multivariate chemometric methods of calibration such as Partial Least Squares (PLS) regression and Neural Networks (NNs) was able to produce a highly dynamic calibration curve (from 0% to 100% of O2/N2 mixtures) with a high sensitivity, for the measurement of medical grade O2 and N2. The predictive ability of NNs, supported by nonlinear data modelling, can be useful in the quantitative analysis, overcoming experimental effects and producing a smaller relative error in comparison to PLS. For validation purposes, all samples were also analyzed by gas chromatography showing an excellent agreement in the O2/N2 compositions measured within the limit of relative error. The methodology presented shows high potential as an alternative method for the monitoring and analysis of oxygen and nitrogen mixtures in production systems, especially for medical applications.Fil: Vorobioff, Juan. Comisión Nacional de Energía Atómica. Gerencia de Área de Investigación y Aplicaciones no Nucleares. Gerencia de Desarrollo Tecnológico y Proyectos Especiales. Departamento de Micro y Nanotecnología; ArgentinaFil: Boggio, Norberto Gabriel. Comisión Nacional de Energía Atómica. Gerencia de Área de Investigación y Aplicaciones no Nucleares. Gerencia de Desarrollo Tecnológico y Proyectos Especiales. Departamento de Micro y Nanotecnología; Argentina. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Moncayo, S.. Universidad Complutense de Madrid; EspañaFil: Caceres, J. O.. Universidad Complutense de Madrid; EspañaFil: Rinaldi, Carlos Alberto. Comisión Nacional de Energía Atómica. Gerencia de Área de Investigación y Aplicaciones no Nucleares. Gerencia de Desarrollo Tecnológico y Proyectos Especiales. Departamento de Micro y Nanotecnología; Argentina. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaRoyal Society of Chemistry2016-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/46826Vorobioff, Juan; Boggio, Norberto Gabriel; Moncayo, S.; Caceres, J. O.; Rinaldi, Carlos Alberto; Corona discharge induced plasma spectroscopy (CDIPS) for quantitative analysis of gas mixtures; Royal Society of Chemistry; Journal of Analytical Atomic Spectrometry; 31; 10; 8-2016; 2053-20590267-9477CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1039/C6JA00226Ainfo:eu-repo/semantics/altIdentifier/url/http://pubs.rsc.org/en/content/articlelanding/2016/ja/c6ja00226ainfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:40:47Zoai:ri.conicet.gov.ar:11336/46826instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:40:47.905CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Corona discharge induced plasma spectroscopy (CDIPS) for quantitative analysis of gas mixtures
title Corona discharge induced plasma spectroscopy (CDIPS) for quantitative analysis of gas mixtures
spellingShingle Corona discharge induced plasma spectroscopy (CDIPS) for quantitative analysis of gas mixtures
Vorobioff, Juan
Espectroscopia de Plasma
Descarga Corona
Analisis de Gases
Cdips
title_short Corona discharge induced plasma spectroscopy (CDIPS) for quantitative analysis of gas mixtures
title_full Corona discharge induced plasma spectroscopy (CDIPS) for quantitative analysis of gas mixtures
title_fullStr Corona discharge induced plasma spectroscopy (CDIPS) for quantitative analysis of gas mixtures
title_full_unstemmed Corona discharge induced plasma spectroscopy (CDIPS) for quantitative analysis of gas mixtures
title_sort Corona discharge induced plasma spectroscopy (CDIPS) for quantitative analysis of gas mixtures
dc.creator.none.fl_str_mv Vorobioff, Juan
Boggio, Norberto Gabriel
Moncayo, S.
Caceres, J. O.
Rinaldi, Carlos Alberto
author Vorobioff, Juan
author_facet Vorobioff, Juan
Boggio, Norberto Gabriel
Moncayo, S.
Caceres, J. O.
Rinaldi, Carlos Alberto
author_role author
author2 Boggio, Norberto Gabriel
Moncayo, S.
Caceres, J. O.
Rinaldi, Carlos Alberto
author2_role author
author
author
author
dc.subject.none.fl_str_mv Espectroscopia de Plasma
Descarga Corona
Analisis de Gases
Cdips
topic Espectroscopia de Plasma
Descarga Corona
Analisis de Gases
Cdips
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The capability of the Corona Discharge Induced Plasma Spectroscopy (CDIPS) technique has been demonstrated for quantitative analysis of nitrogen–oxygen mixtures. Optical emission of the induced plasma in combination with multivariate chemometric methods of calibration such as Partial Least Squares (PLS) regression and Neural Networks (NNs) was able to produce a highly dynamic calibration curve (from 0% to 100% of O2/N2 mixtures) with a high sensitivity, for the measurement of medical grade O2 and N2. The predictive ability of NNs, supported by nonlinear data modelling, can be useful in the quantitative analysis, overcoming experimental effects and producing a smaller relative error in comparison to PLS. For validation purposes, all samples were also analyzed by gas chromatography showing an excellent agreement in the O2/N2 compositions measured within the limit of relative error. The methodology presented shows high potential as an alternative method for the monitoring and analysis of oxygen and nitrogen mixtures in production systems, especially for medical applications.
Fil: Vorobioff, Juan. Comisión Nacional de Energía Atómica. Gerencia de Área de Investigación y Aplicaciones no Nucleares. Gerencia de Desarrollo Tecnológico y Proyectos Especiales. Departamento de Micro y Nanotecnología; Argentina
Fil: Boggio, Norberto Gabriel. Comisión Nacional de Energía Atómica. Gerencia de Área de Investigación y Aplicaciones no Nucleares. Gerencia de Desarrollo Tecnológico y Proyectos Especiales. Departamento de Micro y Nanotecnología; Argentina. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Moncayo, S.. Universidad Complutense de Madrid; España
Fil: Caceres, J. O.. Universidad Complutense de Madrid; España
Fil: Rinaldi, Carlos Alberto. Comisión Nacional de Energía Atómica. Gerencia de Área de Investigación y Aplicaciones no Nucleares. Gerencia de Desarrollo Tecnológico y Proyectos Especiales. Departamento de Micro y Nanotecnología; Argentina. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description The capability of the Corona Discharge Induced Plasma Spectroscopy (CDIPS) technique has been demonstrated for quantitative analysis of nitrogen–oxygen mixtures. Optical emission of the induced plasma in combination with multivariate chemometric methods of calibration such as Partial Least Squares (PLS) regression and Neural Networks (NNs) was able to produce a highly dynamic calibration curve (from 0% to 100% of O2/N2 mixtures) with a high sensitivity, for the measurement of medical grade O2 and N2. The predictive ability of NNs, supported by nonlinear data modelling, can be useful in the quantitative analysis, overcoming experimental effects and producing a smaller relative error in comparison to PLS. For validation purposes, all samples were also analyzed by gas chromatography showing an excellent agreement in the O2/N2 compositions measured within the limit of relative error. The methodology presented shows high potential as an alternative method for the monitoring and analysis of oxygen and nitrogen mixtures in production systems, especially for medical applications.
publishDate 2016
dc.date.none.fl_str_mv 2016-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/46826
Vorobioff, Juan; Boggio, Norberto Gabriel; Moncayo, S.; Caceres, J. O.; Rinaldi, Carlos Alberto; Corona discharge induced plasma spectroscopy (CDIPS) for quantitative analysis of gas mixtures; Royal Society of Chemistry; Journal of Analytical Atomic Spectrometry; 31; 10; 8-2016; 2053-2059
0267-9477
CONICET Digital
CONICET
url http://hdl.handle.net/11336/46826
identifier_str_mv Vorobioff, Juan; Boggio, Norberto Gabriel; Moncayo, S.; Caceres, J. O.; Rinaldi, Carlos Alberto; Corona discharge induced plasma spectroscopy (CDIPS) for quantitative analysis of gas mixtures; Royal Society of Chemistry; Journal of Analytical Atomic Spectrometry; 31; 10; 8-2016; 2053-2059
0267-9477
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1039/C6JA00226A
info:eu-repo/semantics/altIdentifier/url/http://pubs.rsc.org/en/content/articlelanding/2016/ja/c6ja00226a
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Royal Society of Chemistry
publisher.none.fl_str_mv Royal Society of Chemistry
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846082901435744256
score 13.22299

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