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31 results for “Microplastic Particles”
FLEXPART 10.4 output for "Occurrence and backtracking of microplastic mass loads including tire wear particles in Northern Atlantic air"
<p>The dataset consists of three (3) files:</p> <p>-- track3h.txt shows the position of the research vessel in each of the seven (7) ship tracks/campaigns in 3-hour resolution in ascii format structured in columns as follows:</p> <p>YEAR, MONTH, DAY, HOUR, MINUTE, SECOND, LONGITUDE, LATITUDE, SHIP TRACK NUMBER</p> <p>-- FLEXPART_720x360_fine.tar.gz shows the footprint emission sensitivities for fine particles (as described in the paper) in a gridded netCDF format of 0.5 degrees resolution for 80 release points matching the coordinates and times in the track3h.txt file.</p> <p>-- FLEXPART_720x360_coarse.tar.gz shows the footprint emission sensitivities for coarse particles (as described in the paper) in a gridded netCDF format of 0.5 degrees resolution for 80 release points matching the coordinates and times in the track3h.txt file.</p>
Figure 4 in Phytoplankton Exopolymers Enhance Adhesion of Microplastic Particles to Submersed Surfaces
Figure 4. Gating of the total (Bac) and high nucleic acid (HNA) bacteria in the space of forward scatter (FS) and green fluorescence (FL1). Results obtained for the experimental vessels with Rhodomonas salina (RHO), Tetraselmis suecica (TET) and the reference vessel (CNL).
Figure 1 in Phytoplankton Exopolymers Enhance Adhesion of Microplastic Particles to Submersed Surfaces
Figure 1. Cytograms of the cultures of Chaetoceros neogracile (A; data from Long et al., 2017), Rhodomonas salina (B; our data) and Tetraselmis suecica (C; our data) exposed to fluorescent polystyrene microspheres. Gating: MS – microspheres, CHA – Ch. neogracile, H-A – hetero-aggregates of Ch. neogracile and microspheres (according to Long et al., 2017), RHO – Rh. salina, TET – T. suecica.
Figure 2 in Phytoplankton Exopolymers Enhance Adhesion of Microplastic Particles to Submersed Surfaces
Figure 2. General scheme of processes in the experimental and reference (CNL) vessels: Dynamics of Rhodomonas salina (RHO), Tetraselmis suecica (TET) and fluorescent microspheres (MS) in the medium (left plot); Immobilization of MS on slide surface (right plot and photos). Error bars are standard deviations.
Fig. 5 in Phytoplankton Exopolymers Enhance Adhesion of Microplastic Particles to Submersed Surfaces
Fig. 5. Bacterial abundance (N) and a portion of HNA-bacteria in the bacterial consortium (HNA%) in the experimental vessels with Rhodomonas salina (RHO), Tetraselmis suecica (TET) and the reference vessel (CNL) at the final stage of the experiment. Error bars are standard deviations.
Figure 4 in A new method for analyzing microplastic particle size distribution in marine environmental samples
Figure 4. Circularity-versus-Feret's diameter plots of the MP samples collected at four stations in Sevastopol bay (the Black Sea) in 2019. Dot numbers do not correspond to the MPs abundance in the water. Dashed line represents the upper border of fibers.
Figure 5 in A new method for analyzing microplastic particle size distribution in marine environmental samples
Figure 5. Distribution of MPs along Sevastopol bay (the Black Sea) in terms of average particle shape descriptors (left plots), overall abundance and weight of MP fragments, and percentage of fibers among them (right plots).
Figure 3 in A new method for analyzing microplastic particle size distribution in marine environmental samples
Figure 3. Distribution of the four types of MP particles (red – rounded, violet – irregular, blue – elongated, and green – fibers) in a Circularity-versus-Feret's diameter plot (scatter). Dashed line represents the upper border of fibers.
Figure 2. A in A new method for analyzing microplastic particle size distribution in marine environmental samples
Figure 2. A: Microplastic samples dried on the 'storage' filters (100-µm nylon mesh). B: Pure microplastics under an inverted microscope. C-D: Micrograph of a sample in Bogorov's camera and its b/w image processed in an image editor. E: High-contrast scan image of a microplastic sample.
Figure 6 in A new method for analyzing microplastic particle size distribution in marine environmental samples
Figure 6.Weight of a MP sample (M) as a function of the total silhouette area (S) of the MP particles.
Contamination from microplastics and other anthropogenic particles in the digestive tracts of the commercial species Engraulis encrasicolus and Sardina pilchardus
<p><strong>Abstract</strong></p> <p>Fragments of microplastics (< 5mm) found in commercial species of fish, crustaceans, and bivalves, are an issue of global concern. The bioaccumulation of microplastics and other anthropogenic particles in different levels of the food web may provoke unwanted impacts on marine ecosystems and cause pernicious effects on human health. Here, we study the presence of anthropogenic particles and the fraction of microplastics in the target organs of two representative commercial fish species in Spain; the European anchovy (<em>Engraulis encrasicolus</em>) and the European pilchard (<em>Sardina pilchardus</em>). The individuals were sampled along the continental shelf of the Gulf of Cádiz, from the Bay of Cádiz to Cape Santa Maria. The isolation of the microplastics (MPs) was carried out with a complete alkaline-oxidant organic digestion (KOH-H<sub>2</sub>O<sub>2</sub>) of the digestive tract, including both the contents ingested and the muscle tissues. Anthropogenic particles were found in all individuals of both species with an average of 8.94 ± 5.11 items·ind<sup>-1</sup>. Fibres made up 93 % of the items while fragments and films were represented by the remaining 7 %. The average size of the anthropogenic particles was 0.89 ± 0.82 mm. In addition to the fragment and film particles identified as microplastics, 29 % of the fibres were estimated to be microplastics by Fourier-transform infrared spectroscopy (FTIR) analysis. The main polymer found in both species was nylon. No significant correlation was found between the abundance and size of anthropogenic particles ingested and individual size or other body variables. The analysis of similarities (ANOSIM) and the distanced-based multiple linear regression model showed a high homogeneity in anthropogenic particle contamination in both species throughout the study area along the continental shelf of the Gulf of Cádiz.</p>
Phylum level phytoplankton composition and FTIR spectra for body wash microplastics and plant-based scrub particles from a 7-day summer 2016 surface mesocosm experiment in Otsego Lake, NY, USA
We tested the effects of two types of microplastics, 50 µm polystyrene (PS) calibration beads and polylactic acid (PLA) plastic body wash scrub particles, and one type of plant-derived body wash scrub particle on a natural phytoplankton assemblage through a 7-day mesocosm incubation experiment in a temperate, mesotrophic lake (Otsego Lake, Otsego County, NY, USA) in summer 2016.
Figure 1 in A new method for analyzing microplastic particle size distribution in marine environmental samples
Figure 1. Sampling sites in Sevastopol Bay, the Black Sea.
All black: a microplastic extraction combined with colour-based analysis allows identification and characterisation of tire wear particles (TWP) in soils
<p>The present file contains the information collected on particles analyzed in the study:</p> <p><em><strong><span><span><span><span><span><span>All black: a microplastic extraction combined with colour-based analysis allows identification and characterisation of tire wear particles (TWP) in soil</span></span></span></span></span></span><span>s</span></strong></em></p> <p><span>published in the Microplastics and Nanoplastics journal in 2024. </span></p> <p><span>The first sheet of the excel file contains the data, the second sheet contains the description of the data and the parameters recorded. </span></p>
In vivo exposure of mixed microplastic particles in mice and its impacts on the murine gut microbiome and metabolome
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Data from: Impacts of microplastic versus natural abiotic particles on the clearance rate of a marine mussel
In coastal habitats, mussels are exposed to microplastic (MP; plastic <5mm) and silt, two abiotic particles that are similarly sized and lack nutrition. The addition of MP or silt may change the functional response of mussels. We measured clearance rate of Mytilus trossulus in three particle treatments (algae, MP + algae, and silt + algae) across four concentrations to 1) determine if the effects of MP and silt are similar and 2) disentangle the effects of particle type, particle concentration, and proportion of abiotic particles. Clearance rate decreased by 62% at high MP concentrations (>1,250 particles/ml) but was not affected at equivalent silt concentrations. These findings suggest high MP concentrations inhibit mussel clearance rate, more than expected by changes in particle concentration or the proportion of abiotic particles. As plastic production increases, mussel exposure to MP will increase, potentially reducing energy transfer, benthic-pelagic coupling, and water clarity.
Microplastic particles in Polymesoda caroliniana
<p>Messurement of Microplastic particles in Polymesoda caroliniana</p>
Datasets for the publication "Heteroaggregation of PS microplastic with ferrihydrite leads to rapid removal of microplastic particles from the water column"
<p>This file contains datasets that were generated during laboratory-based experiments on sedimentation, zeta potential and z-average hyd. diameter.</p> <p>The article was published in <em>Environmental Science: Processes & Impacts</em> (accepted July 11, 2022).</p>
Data from: Impacts of microplastic versus natural abiotic particles on the clearance rate of a marine mussel
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Microplastic measurements including, mass, color, particle type and plastic type collected aboard the Scripps Environmental Accumulation of Plastic Expedition (SEAPLEX) cruise, August 2009.
Microplastic was collected using a standard manta net tow. Each sample was sorted at 6-12x magnification under a Wild M-5 dissecting microscope, and plastic particles and H. sericeus removed for further analysis. Plastic particles were soaked in deionized water to remove salts, dried at 60°C, and stored in a desiccator. Particles were then digitally imaged with a Zooscan digital scanner (Gilfillan et al. 2009, Gorsky et al. 2010)
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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