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Title
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Exploring the hidden chemical landscape : non-target and suspect screening analysis for investigating solid waste-associated environments
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Author
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Abstract
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| 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. |
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Language
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English
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Source (journal)
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Environmental research. - Amsterdam, 1967, currens
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Publication
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Amsterdam
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Elsevier
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2024
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ISSN
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0013-9351
[print]
1096-0953
[online]
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DOI
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10.1016/J.ENVRES.2023.118006
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Volume/pages
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245
(2024)
, p. 1-17
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Article Reference
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118006
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ISI
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001164631800001
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Pubmed ID
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38154568
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Full text (Publisher's DOI)
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Full text (open access)
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Full text (publisher's version - intranet only)
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