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dc.contributor.author
Altamirano, Jorgelina Cecilia

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Yin, Shanshan
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Belova, Lidia
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Poma, Giulia

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Covaci, Adrian

dc.date.available
2025-04-25T10:18:33Z
dc.date.issued
2024-03
dc.identifier.citation
Altamirano, Jorgelina Cecilia; Yin, Shanshan; Belova, Lidia; Poma, Giulia; Covaci, Adrian; Exploring the hidden chemical landscape: Non-target and suspect screening analysis for investigating solid waste-associated environments; Academic Press Inc Elsevier Science; Environmental Research; 245; 3-2024; 1-17
dc.identifier.issn
0013-9351
dc.identifier.uri
http://hdl.handle.net/11336/259602
dc.description.abstract
Solid waste is an inevitable consequence of urbanization. It can be safely managed in municipal landfills and processing plants for volume reduction or material reuse, including organic solid waste. However, solid waste can also be discarded in (un-)authorized dumping sites or inadvertently released into the environment. Legacy and emerging contaminants have the potential to leach from solid waste, making it a significant pathway to the environment. Non-target screening (NTS) and suspect screening analysis (SSA) have become helpful tools in environmental science for the simultaneous analysis of a wide range of chemical compounds. However, the application of these analytical approaches to environmental samples related to Raw or Processed Solid Waste (RPSW) has been largely neglected so far. This perspective review examines the potential and policy relevance of NTS and SSA applied to waste-related samples (liquid, gaseous and solid). It addresses the hurdles associated with the chemical safety of solid waste accumulation, processing, and reuse, and the need for landfill traceability, as well as effectiveness of leachate treatments. We reviewed the current applications of NTS and SSA to environmental samples of RPSW, as well as the potential adaptation of NTS and SSA techniques from related fields, such as oilfield and metabolomics, to the solid waste domain. Despite the ongoing technical challenges, this review highlights the significant potential for the implementation of NTS and SSA approaches in solid waste management and related scientific fields and provides support and guidance to the regulatory authorities
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Academic Press Inc Elsevier Science

dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
solid waste
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non-target screening
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suspect screening
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high-resolution mass spectrometry
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landfill
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dumping site
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Química Analítica

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Ciencias Químicas

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CIENCIAS NATURALES Y EXACTAS

dc.title
Exploring the hidden chemical landscape: Non-target and suspect screening analysis for investigating solid waste-associated environments
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2025-04-24T09:54:02Z
dc.journal.volume
245
dc.journal.pagination
1-17
dc.journal.pais
Estados Unidos

dc.description.fil
Fil: Altamirano, Jorgelina Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; Argentina. Universiteit Antwerp; Bélgica. Universidad Nacional de Cuyo. Facultad de Ciencias Exactas y Naturales; Argentina
dc.description.fil
Fil: Yin, Shanshan. Zhejiang Shuren University; China. Universiteit Antwerp; Bélgica
dc.description.fil
Fil: Belova, Lidia. Universiteit Antwerp; Bélgica
dc.description.fil
Fil: Poma, Giulia. Universiteit Antwerp; Bélgica
dc.description.fil
Fil: Covaci, Adrian. Universiteit Antwerp; Bélgica
dc.journal.title
Environmental Research

dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0013935123028104
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.envres.2023.118006
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