Microplastics (MPs) represent an important global environmental threat, and, among the different environmental compartments, the aquatic systems are particularly impacted by the MPs problem. River sediments act as sinks and as major pathways for MPs transportation to marine systems. Therefore, there is an increasing need for comprehensive, basin-scale monitoring of MPs in river sediments to elucidate their spatial and temporal accumulation patterns, providing data essential for risk assessment and the development of effective mitigation strategies by stakeholders. MPs extraction from complex environmental samples remains challenging as the presence of organic and inorganic matter often interferes with the analytical identification. To address this gap, we optimized a low-cost, high-throughput sample preparation protocol specifically designed for analysis of large riverine sediment sets and accurate Raman identification. The protocol was validated across a wide cross-section of sediment matrices, from the Arno River (Pisa and Florence, Italy) with different grain size distribution and organic matter concentrations. This validation, with both spiked matrices and real environmental sediments, demonstrates a workflow that is tailored to handle sediments rich in organic and inorganic matter while enabling accurate identification of MPs.

Advances in the sample pretreatment for determination of microplastics in riverbed sediments by Raman spectroscopy / Dali, A., Mancini, M., Santianni, D., Solari, L., Becucci, M.. - In: ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL. - ISSN 1614-7499. - STAMPA. - 33:(2026), pp. 16012-16028. [10.1007/s11356-026-38231-8]

Advances in the sample pretreatment for determination of microplastics in riverbed sediments by Raman spectroscopy

Dali, Andrea;Mancini, Mirco;Solari, Luca;Becucci, Maurizio
2026

Abstract

Microplastics (MPs) represent an important global environmental threat, and, among the different environmental compartments, the aquatic systems are particularly impacted by the MPs problem. River sediments act as sinks and as major pathways for MPs transportation to marine systems. Therefore, there is an increasing need for comprehensive, basin-scale monitoring of MPs in river sediments to elucidate their spatial and temporal accumulation patterns, providing data essential for risk assessment and the development of effective mitigation strategies by stakeholders. MPs extraction from complex environmental samples remains challenging as the presence of organic and inorganic matter often interferes with the analytical identification. To address this gap, we optimized a low-cost, high-throughput sample preparation protocol specifically designed for analysis of large riverine sediment sets and accurate Raman identification. The protocol was validated across a wide cross-section of sediment matrices, from the Arno River (Pisa and Florence, Italy) with different grain size distribution and organic matter concentrations. This validation, with both spiked matrices and real environmental sediments, demonstrates a workflow that is tailored to handle sediments rich in organic and inorganic matter while enabling accurate identification of MPs.
2026
33
16012
16028
Goal 6: Clean water and sanitation
Goal 11: Sustainable cities and communities
Dali, Andrea; Mancini, Mirco; Santianni, Daniela; Solari, Luca; Becucci, Maurizio
File in questo prodotto:
File Dimensione Formato  
s11356-026-38231-8.pdf

accesso aperto

Descrizione: https://link.springer.com/article/10.1007/s11356-026-38231-8?utm_source=getftr&utm_medium=getftr&utm_campaign=getftr_pilot&getft_integrator=scopus
Tipologia: Pdf editoriale (Version of record)
Licenza: Creative commons
Dimensione 1.73 MB
Formato Adobe PDF
1.73 MB Adobe PDF

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1496612
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact