Chemometric-driven quantification of construction and demolition waste using Raman spectroscopy and SWIR: Enhancing sustainability in the ceramic sector

Construction and demolition wastes (CDW) face low recycling rates due to the absence of reliable and industrially feasible quantification method for valorization. This study explores quantifying mixed construction materials through their homogenization, a novel proposal, and chemometric modeling. Th...

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Detalles Bibliográficos
Autores: Marín Cortés, Sonia, Fernández-Álvarez, María, Moure Arroyo, Alberto, Fernández Lozano, José Francisco, Enríquez Pérez, Esther
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/350261
Acceso en línea:http://hdl.handle.net/10261/350261
https://api.elsevier.com/content/abstract/scopus_id/85174815903
Access Level:acceso abierto
Palabra clave:Chemometrics
Construction and demolition waste
Quantification methodology
Raman spectroscopy
SWIR spectroscopy
Waste valorization
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spelling Chemometric-driven quantification of construction and demolition waste using Raman spectroscopy and SWIR: Enhancing sustainability in the ceramic sectorMarín Cortés, SoniaFernández-Álvarez, MaríaMoure Arroyo, AlbertoFernández Lozano, José FranciscoEnríquez Pérez, EstherChemometricsConstruction and demolition wasteQuantification methodologyRaman spectroscopySWIR spectroscopyWaste valorizationConstruction and demolition wastes (CDW) face low recycling rates due to the absence of reliable and industrially feasible quantification method for valorization. This study explores quantifying mixed construction materials through their homogenization, a novel proposal, and chemometric modeling. The problem materials were homogenized in known proportions for the acquisition of a statistical number of chemical data. Short-wave infrared and Raman spectroscopy (applied here for the first time) provided data for two independent models. Principal Component Analysis and Improved Kernel Partial Least Square Discriminant Analysis were employed for model construction. These models were successfully applied to a real CDW sample from a Spanish management plant, yielding comparable results. This cost-effective methodology allows the quantification of stony aggregates within CDW, enhancing their recycling potential in the ceramic sector. Addressing the scarcity of reliable CDW quantification procedures, this approach and the use of Raman technique hold promise for advancing CDW valorization and sustainability.authors gratefully acknowledge the financial support of the European Union’s Horizon 2020 research and innovation programmes ICEBERG (No. 869336) and CHARISMA grant (No. 952921) for their financial support. María Fern´andez-´Alvarez acknowledges the financial support from MCIN/AEI/10.13039/501100011033 and European Union NextGenerationEU/PRTR (Grant No FJC2021-047888-I).Supplementary material associated with this article can be found, in the online version, at doi:10.1016/j.resconrec.2023.107259Peer reviewedElsevier0000-0002-5345-72370000-0001-5546-59620000-0002-2649-231X0000-0002-7833-6474Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/350261https://api.elsevier.com/content/abstract/scopus_id/85174815903reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésResources, Conservation and Recyclinghttps://doi.org/10.1016/j.resconrec.2023.107259Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3502612026-05-22T06:33:51Z
dc.title.none.fl_str_mv Chemometric-driven quantification of construction and demolition waste using Raman spectroscopy and SWIR: Enhancing sustainability in the ceramic sector
title Chemometric-driven quantification of construction and demolition waste using Raman spectroscopy and SWIR: Enhancing sustainability in the ceramic sector
spellingShingle Chemometric-driven quantification of construction and demolition waste using Raman spectroscopy and SWIR: Enhancing sustainability in the ceramic sector
Marín Cortés, Sonia
Chemometrics
Construction and demolition waste
Quantification methodology
Raman spectroscopy
SWIR spectroscopy
Waste valorization
title_short Chemometric-driven quantification of construction and demolition waste using Raman spectroscopy and SWIR: Enhancing sustainability in the ceramic sector
title_full Chemometric-driven quantification of construction and demolition waste using Raman spectroscopy and SWIR: Enhancing sustainability in the ceramic sector
title_fullStr Chemometric-driven quantification of construction and demolition waste using Raman spectroscopy and SWIR: Enhancing sustainability in the ceramic sector
title_full_unstemmed Chemometric-driven quantification of construction and demolition waste using Raman spectroscopy and SWIR: Enhancing sustainability in the ceramic sector
title_sort Chemometric-driven quantification of construction and demolition waste using Raman spectroscopy and SWIR: Enhancing sustainability in the ceramic sector
dc.creator.none.fl_str_mv Marín Cortés, Sonia
Fernández-Álvarez, María
Moure Arroyo, Alberto
Fernández Lozano, José Francisco
Enríquez Pérez, Esther
author Marín Cortés, Sonia
author_facet Marín Cortés, Sonia
Fernández-Álvarez, María
Moure Arroyo, Alberto
Fernández Lozano, José Francisco
Enríquez Pérez, Esther
author_role author
author2 Fernández-Álvarez, María
Moure Arroyo, Alberto
Fernández Lozano, José Francisco
Enríquez Pérez, Esther
author2_role author
author
author
author
dc.contributor.none.fl_str_mv 0000-0002-5345-7237
0000-0001-5546-5962
0000-0002-2649-231X
0000-0002-7833-6474
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Chemometrics
Construction and demolition waste
Quantification methodology
Raman spectroscopy
SWIR spectroscopy
Waste valorization
topic Chemometrics
Construction and demolition waste
Quantification methodology
Raman spectroscopy
SWIR spectroscopy
Waste valorization
description Construction and demolition wastes (CDW) face low recycling rates due to the absence of reliable and industrially feasible quantification method for valorization. This study explores quantifying mixed construction materials through their homogenization, a novel proposal, and chemometric modeling. The problem materials were homogenized in known proportions for the acquisition of a statistical number of chemical data. Short-wave infrared and Raman spectroscopy (applied here for the first time) provided data for two independent models. Principal Component Analysis and Improved Kernel Partial Least Square Discriminant Analysis were employed for model construction. These models were successfully applied to a real CDW sample from a Spanish management plant, yielding comparable results. This cost-effective methodology allows the quantification of stony aggregates within CDW, enhancing their recycling potential in the ceramic sector. Addressing the scarcity of reliable CDW quantification procedures, this approach and the use of Raman technique hold promise for advancing CDW valorization and sustainability.
publishDate 2023
dc.date.none.fl_str_mv 2023
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/350261
https://api.elsevier.com/content/abstract/scopus_id/85174815903
url http://hdl.handle.net/10261/350261
https://api.elsevier.com/content/abstract/scopus_id/85174815903
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Resources, Conservation and Recycling
https://doi.org/10.1016/j.resconrec.2023.107259
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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