| Literature DB >> 32026372 |
Laura Cutroneo1, Anna Reboa2, Giovanni Besio3, Franco Borgogno4, Laura Canesi2, Susanna Canuto4, Manuela Dara2, Francesco Enrile3, Iskender Forioso4, Giuseppe Greco2, Véronique Lenoble5, Arianna Malatesta2, Stéphane Mounier5, Mario Petrillo2, Ruben Rovetta3, Alessandro Stocchino3, Javier Tesan5, Greta Vagge2, Marco Capello2.
Abstract
The European Interreg Italy-France 2014-2020 Maritime Project SPlasH! (Stop to Plastics in H2O!) focused on the study of microplastics (MPs) in the marine port environment to evaluate their presence, abundance, and mechanisms of diffusion to the open sea. In the framework of this project, a worldwide review of 74 studies was carried out, providing an overview of MP investigation techniques, focusing on sampling strategies, laboratory methodologies, and identification of MPs collected in seawater, and specifically evaluating their applicability to the marine port environment. Nets were the most commonly used device for MP surface sampling, but their use can be difficult in narrow spaces within the port basins, and they must be coupled to discrete sampling devices to cover all port basins. In the laboratory, density separation (NaCl, ZnCl2, NaI, sodium lauryl sulfate (SLS)), filtration (polycarbonate, polyamide, glass, cellulose, ANOPORE inorganic membrane filters), sieving, visual sorting, and digestion methods (acidic, enzymatic, alkaline, oxidative) were used to separate MPs from seawater. Digestion becomes essential with water samples with great inorganic and organic loads as deriving from a port. Although many studies are based only on visual MP identification under a microscope, analytical identification techniques unequivocally determine the particle nature and the identity of the plastic polymers and are necessary to validate the visual sorting of MPs. Fourier-transform infrared spectroscopy (FTIR) is the most used analytical identification technique.Entities:
Keywords: Analytical identification; Microplastics; Port environment; Sampling devices; Seawater monitoring; Visual sorting
Mesh:
Substances:
Year: 2020 PMID: 32026372 PMCID: PMC7165152 DOI: 10.1007/s11356-020-07783-8
Source DB: PubMed Journal: Environ Sci Pollut Res Int ISSN: 0944-1344 Impact factor: 4.223
Fig. 1Evolution in the published studies on microplastics in seawater from 2004 to 2018
Fig. 2Distribution of areas where the studies analyzed in the present review are conducted and numbers of studies (from 1 to > 10) for each area showed by the colored circles
Fig. 3(a) Number of reviewed studies expressed in percentage (%) in which different sampling devices are used. (b) Number of the reviewed studies expressed in percentage (%) in which different types of net are used; maximum percentage shown in the y-axis is equal to 50 instead of 100 to be able to appreciate the difference between each histogram
Characteristics of devices used for MP sampling in the studies analyzed in the present study
| Nets | |||||
|---|---|---|---|---|---|
| Net mesh size (μm) | Area (m2) of the rectangular/diameter (m) of the circular opening of net | Length of net (m) | Towing time (minutes) | Towing speed (knots) | References (complete reference list in Online Resource |
| Neuston nets | |||||
| 64–350 | 0.1–1.2 m2 | 1–4 | 3–30 | 1.5–4 | [1], [5], [22], [25], [27], [28], [34], [35], [51], [52], [53], [59], [72] |
| Neuston DiSalvo nets | |||||
| 300 | 0.3 m2 | [22] | |||
| Neuston net designed by Syakti et al. ( | |||||
| 5000; 1000; 500; 300; 100 | 0.4 m2 | 1 | [63] | ||
| Plankton nets | |||||
| 50–500 | 0.2–0.6 m | 1.5–2.5 | 3–30 | 1–5 | [7], [10], [11], [13], [25], [29], [31], [33], [39], [41], [47], [67] |
| Plankton WP2 nets | |||||
| 90–200 | 0.2–0.6 m | 2.6 | 3–20 | 1.5–4 | [2], [4], [14], [27], [30], [32] |
| Bongo nets | |||||
| 150–500 | 0.2–0.6 m | 15 | 2–5 | 3–5 | [6], [9], [31], [60] |
| Manta nets | |||||
| 300–500 | 0.1–0.61 m2 | 2–4.5 | 5–240 | 1–5 | [4], [8], [15], [17], [22], [23], [24], [26], [31], [32], [36], [43], [48], [49], [51], [55], [56], [61], [65], [68], [69], [70] |
| High-speed Manta net | |||||
| 333 | 0.1 m2 | 4.5 | 60 | [44] | |
| Suitcase Manta net | |||||
| 333 | 0.1 m2 | 1–3 | [54] | ||
| AVANI trawl | |||||
| 335 | 0.1 m2 | 4 | 60 | 5 | [22] |
| Longhurst Hardy Plankton Recorder (LHPR) | |||||
| 335 | 30 | 4 | [27] | ||
| Manual nets | |||||
| 20–80 | 0.2–0.3 m | 0.6 | [36], [38], [47], [56] | ||
| Others | |||||
| Device | Volume (L) | ||||
| Continuous Plankton Recorder (CPR) coupled with a 280 μm mesh screen | [66] | ||||
| Niskin Bottle | 10 | [3] | |||
| 30 | [3] | ||||
| Bucket | [3], [16], [42] | ||||
| Multi Water Sampler SlimLine 12 | [3] | ||||
| Jar/Bottle/Becker/Steel Sampler | [5], [19], [30], [31], [36], [50], [64], [73] | ||||
| Integrated Water Sampler (IWS) | [64] | ||||
| Pumping systems | [12], [18], [21], [37], [40], [43], [45], [46], [71] | ||||
| Manta Ray | [20] | ||||
| Rosette Sampler System | [16], [37] | ||||
| Rotating Drum Sampler | [46] | ||||
| PLastic EXplorer (PLEX) | [74] | ||||
Net mesh sizes used for sampling microplastics in the studies analyzed in the present review. Different net mesh sizes can be used during the same research. To simplify the table, references are here indicated with a number and the corresponding complete list is presented in the Online Resource 1
| Net mesh size (μm) | Number of research studies | References [Online Resource |
|---|---|---|
| 20 | 1 | [38] |
| 50 | 3 | [33], [36], [56] |
| 64 | 1 | [25] |
| 80 | 2 | [7,47] |
| 90 | 1 | [30] |
| 100 | 1 | [63] |
| 120 | 1 | [10] |
| 135 | 1 | [67] |
| 150 | 2 | [6,11] |
| 180 | 1 | [27] |
| 200 | 9 | [2], [4], [13], [14], [25], [31], [32], [53], [59] |
| 280 | 1 | [27] |
| 300 | 8 | [1], [22], [23], [28], [29], [31], [41], [63] |
| 308 | 1 | [48] |
| 330 | 7 | [4], [24], [36], [49], [55], [56], [65] |
| 333 | 12 | [8], [9], [15], [32], [43], [44], [51], [54], [61], [68], [69], [72] |
| 335 | 5 | [5], [22], [26], [27], [51] |
| 350 | 3 | [34], [35], [52] |
| 355 | 1 | [39] |
| 400 | 1 | [31] |
| 450 | 1 | [47] |
| 500 | 5 | [13], [17], [31], [60], [63] |
| 1000 | 1 | [63] |
| 5000 | 1 | [63] |
Fig. 4Scheme of different steps of laboratory methodologies applied to separate microplastics from seawater in the studies analyzed in the present review
Analytical identification techniques of microplastics used in the studies analyzed in the present review. To simplify the table, references are here indicated with a number and the corresponding complete list is presented in the Online Resource 1
| Microplastics analytical identification techniques | Number of studies | References (Online Resource |
|---|---|---|
| Fourier-transform infrared spectroscopy (FTIR) | 12 | [1], [4], [9], [13], [29], [34], [35], [37], [43], [51], [52], [58] |
| Micro-Fourier transform infrared spectroscopy (Micro-FTIR) | 15 | [9], [12], [16], [25], [27], [31], [32], [36], [37], [46], [56], [60], [65] [66], [73] |
| Attenuated total reflection Fourier transform infrared spectroscopy (ATR-FTIR) | 15 | [7], [8], [10], [11], [33], [38], [39], [45], [53], [59], [62], [63], [67], [68], [70] |
| Micro-attenuated total reflection Fourier transform infrared spectroscopy (Micro ATR-FTIR) | 4 | [53], [55], [57], [70] |
| Fourier Transform Near-Infrared spectroscopy (FT-NIR) | 1 | [1] |
| Raman spectroscopy | 2 | [7], [42] |
| Micro-Raman spectroscopy | 6 | [21], [23], [40], [49], [71], [74] |
| Semi-automated micro-Raman spectroscopy | 1 | [26] |
| Near Infrared Spectroscopy (NIR) | 1 | [28] |
| Differential scanning calorimetry (DSC) | 1 | [68] |
Fig. 5Example of microplastic particles and their polymer type and their size (Galgani et al. 2013)
Microplastics (MP) reporting units in the reviewed studies. The number of studies is equal to 78 instead of the 74 reviewed because some studies did not specify the microplastics reporting unit and others used more than one type of unit. To simplify the table, references are here indicated with a number and the corresponding complete list is presented in Online Resource 1
| Microplastics reporting unit | Number of studies ( | References (Online Resource |
|---|---|---|
| Number of microplastics per square kilometer (MP km−2) | 16 | [1], [4], [5], [22], [24], [28], [32], [42], [44], [49], [51], [61], [64], [68], [69], [70] |
| Number of microplastics per square meter (MP m−2) | 4 | [14], [15], [52], [59] |
| Number of microplastics per cubic meter (MP m−3) | 40 | [2], [4], [6], [7], [9], [10], [11], [12], [13], [17], [18], [21], [25], [27], [28], [30], [34], [25], [36], [37], [41], [42], [43], [45], [47], [53], [54], [59], [60], [62], [63], [64], [65], [66], [67], [68], [69], [71], [72], [74] |
| Number of microplastics per liter (MP L−1) | 12 | [3], [5], [16], [19], [31], [33], [38], [50], [56], [57], [64], [73] |
| Grams of microplastics per square kilometers (g MP km−2) | 2 | [4], [59] |
| Grams of microplastics per cubic meter (g MP m−3) | 1 | [7] |
| Milligrams of microplastics per cubic meter (mg MP m−3) | 2 | [59], [62] |
| Milligrams of microplastics per square kilometers (mg MP km−2) | 1 | [24] |