During 2019, the LEGAMBIENTE conducted a marine litter survey collecting 2270 pellets from 73 Italian beaches along the peninsula within a citizen science campaign. The geographical regions sampled were: Abruzzo, Calabria, Campania, Emilia Romagna, Lazio, Liguria, Marche, Molise, Puglia, Sardegna, Sicilia, Toscana e Veneto. The sampling procedure consists in collecting items considering the part of the beach that undergo the dynamics of the undertow (about 5 meters of depths for all selected beaches), avoiding the back part of the beaches, as dunes or limiting structures, where pellets eventually deposited during strong storms or swells can no more be subject to sea water effect. The sampling protocol used aims to decrease the likelihood of collecting pellets that have spent most of their time out of the water, and whose aging process may have been caused by phenomena not considered in our study. During the survey, pellets with visible dye added were discarded, meanwhile all possible pellets shade were included. Then, pellets have been classified by colour using the Fanini [1] colour scale. The classification led to label shades from 1 to 14 as Light colour, from 15 to 27 as Medium coloured and from 28 to 36 as Dark coloured. Then, a sub sample of pellets (30 pellets from Tyrrhenian coast beaches) was analysed using the double-pulse micro-Laser-Induced Breakdown Spectroscopy (DP-LIBS) technique. To perform POPs extraction from pellets, we create a subsample considering beaches belonging to different regions of Italian peninsula, from south to north. The pellets from the various selected beaches were grouped together by colour categories, without considering the fouling or porosity parameters, as they are irrelevant for the purpose of the ongoing analysis. Table 1 reports the complete pellets classification also considering the presence of the porosity and fouling of the samples. Table 2 reports the spectra lines obtained using LIBS techniques [2] to detect metals/compounds on the pellets surfaces. Pellets of this sub sample have been selected, among the ones of ItPW sample, considering that they have relevant fouling on their surface. We selected 15 pellets for TUSCANY (8L, 5M and 2D); 10 for SARDINIA (4L, 4M and 2D); 4 for SICILY (2L, 1M and 1 PP pellet); 4 for LIGURIA (3L and 1D) and 5 for CAMPANIA (4L and 1M). All are PE pellets except the one of line 17 that is a PP pellet. Table 3 reports the median value of PAHs and PCB extracted from resin pellets.

Italian Pellet Watch (ItPW): monitoring resin pellets

Vincenzo Palleschi;Francesco Poggialini;Bruno Cocciaro;Lucia Ricci;Simona Bronco;Cristina De Monte;Leonardo Arrighetti;Silvia Merlino
Ultimo
2024

Abstract

During 2019, the LEGAMBIENTE conducted a marine litter survey collecting 2270 pellets from 73 Italian beaches along the peninsula within a citizen science campaign. The geographical regions sampled were: Abruzzo, Calabria, Campania, Emilia Romagna, Lazio, Liguria, Marche, Molise, Puglia, Sardegna, Sicilia, Toscana e Veneto. The sampling procedure consists in collecting items considering the part of the beach that undergo the dynamics of the undertow (about 5 meters of depths for all selected beaches), avoiding the back part of the beaches, as dunes or limiting structures, where pellets eventually deposited during strong storms or swells can no more be subject to sea water effect. The sampling protocol used aims to decrease the likelihood of collecting pellets that have spent most of their time out of the water, and whose aging process may have been caused by phenomena not considered in our study. During the survey, pellets with visible dye added were discarded, meanwhile all possible pellets shade were included. Then, pellets have been classified by colour using the Fanini [1] colour scale. The classification led to label shades from 1 to 14 as Light colour, from 15 to 27 as Medium coloured and from 28 to 36 as Dark coloured. Then, a sub sample of pellets (30 pellets from Tyrrhenian coast beaches) was analysed using the double-pulse micro-Laser-Induced Breakdown Spectroscopy (DP-LIBS) technique. To perform POPs extraction from pellets, we create a subsample considering beaches belonging to different regions of Italian peninsula, from south to north. The pellets from the various selected beaches were grouped together by colour categories, without considering the fouling or porosity parameters, as they are irrelevant for the purpose of the ongoing analysis. Table 1 reports the complete pellets classification also considering the presence of the porosity and fouling of the samples. Table 2 reports the spectra lines obtained using LIBS techniques [2] to detect metals/compounds on the pellets surfaces. Pellets of this sub sample have been selected, among the ones of ItPW sample, considering that they have relevant fouling on their surface. We selected 15 pellets for TUSCANY (8L, 5M and 2D); 10 for SARDINIA (4L, 4M and 2D); 4 for SICILY (2L, 1M and 1 PP pellet); 4 for LIGURIA (3L and 1D) and 5 for CAMPANIA (4L and 1M). All are PE pellets except the one of line 17 that is a PP pellet. Table 3 reports the median value of PAHs and PCB extracted from resin pellets.
2024
Istituto per i Processi Chimico-Fisici - IPCF - Sede Secondaria Pisa
Istituto di Scienze Marine - ISMAR - Sede Secondaria Lerici
Istituto di Chimica dei Composti Organo Metallici - ICCOM - Sede Secondaria Pisa
resin pellets,
marine pollution,
no-leaving proxy,
metal contamination,
plastic aging
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Descrizione: Median Value of PAHs and PCB obtained by means of n-hexane extraction for the 218 PE pellets of the selected 8 regions. Colour class: L(Light); M (Medium); D (Dark).
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Descrizione: Elemental peak signals of the lines considered (arbitrary units) at the surface of the pellets analysed in this work. Spectroscopic lines detected in LIBS (Laser Induced Breakdown Spectroscopy) are re
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110042.xlsx

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Descrizione: talian Pellets Watch (ItPW) data. The survey has been performed in 2019 by LEGAMBIENTE Italian NGO. In several cases where the number of pellets per beach was too low, beaches were merged within th
Licenza: Creative commons
Dimensione 29.43 kB
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/537792
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