2024-03-29T01:46:15Z
https://zenodo.org/oai2d
oai:zenodo.org:5914353
2023-06-30T17:29:28Z
user-microplastic
user-nsc
user-microplastics-in-food-and-beverages
user-cusp-research
user-eu
Lesley Tobin
Mahdi Takaffoli
Florian Meirer
Anna Costa
Tao Huan
Edward Grant
2022-01-28
<p>The CUSP-UBC Workshop was held online on 28th January 2022.</p>
<p>69 participants took part from across Europe and British Columbia to share experiences, exchange knowledge, and to discuss challenges and solutions as part of a great collaboration between the two clusters.</p>
<p><strong>Acknowledgements:</strong></p>
<p><strong>Co-Organisation and Cluster Presentations:</strong></p>
<p>Lesley Tobin (CUSP Working Group 6 Communication and Dissemination, PlasticsFatE) <a href="mailto:lesley.tobin@optimat.co.uk"> </a><a href="mailto:lesley.tobin@optimat.co.uk">lesley.tobin@optimat.co.uk</a></p>
<p>Mahdi Takaffoli (Coordinator, Cluster for Microplastics, Health and the Environment, The University of British Columbia) <a href="mailto:mahdi.takaffoli@ubc.ca">mahdi.takaffoli@ubc.ca</a></p>
<p><strong>Presenters:</strong></p>
<p><strong>Florian Meirer </strong>(Associate Professor, Inorganic Chemistry and Catalysis research group at Utrecht University; Polyrisk & Aurora)</p>
<p>“Characterizing Nanoplastics with Force Microscopy – An Update”) <a href="mailto:F.Meirer@uu.nl">F.Meirer@uu.nl</a></p>
<p><strong>Anna Costa</strong> (Environmental Nanotechnology and Nano-Safety group of CNR-ISTEC; PlasticsFatE) “Strategies for MP/NP simulated samples-laboratory tests” <a href="mailto:anna.costa@istec.cnr.it">anna.costa@istec.cnr.it</a></p>
<p><strong>Tao Huan</strong> (Assistant Professor, Chemistry, The University of British Columbia)</p>
<p>“Pilot Study of the Impact of Microplastics on Cell Liability and Potential Application of Metabolomics in Understanding the Biological Mechanisms” <a href="mailto:thuan@chem.ubc.ca">thuan@chem.ubc.ca</a></p>
<p><strong> Edward Grant</strong> (Professor, UBC Chemistry) “The challenge of representative microplastic analysis” edgrant@chem.ubc.ca</p>
<p>Thank you to Michelle Epstein, Doctor of Allergy and Clinical Immunology, MedUni Vienna, for such a useful, stimulating idea, and to everyone who took part despite the unsocial hours!</p>
<p> </p>
https://doi.org/10.5281/zenodo.5914353
oai:zenodo.org:5914353
Zenodo
https://zenodo.org/communities/nsc
https://zenodo.org/communities/microplastic
https://zenodo.org/communities/microplastics-in-food-and-beverages
https://zenodo.org/communities/cusp-research
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.5914352
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
microplastics
nanoplastics
plastic particles
analysis
CUSP - UBC Workshop: Analytics: Characterization and quantification / enumeration of particles in the environment and in tissue
info:eu-repo/semantics/other
oai:zenodo.org:8038706
2023-06-30T17:28:24Z
user-microplastic
user-nsc
openaire
user-cusp-research
user-eu
Mawas, Safaa
Miremont, Dorian
Izabelle, Charlotte
Bui, Linh Chi
Renault, Justine
Devineau, Stéphanie
Boland, Sonja
2023-06-14
<p>Airborne microplastics (MPs) have been recently detected in human lung tissue, but their fate and impact on airways is still unrevealed.</p>
<p>Our study focuses on the impacts of polyethylene terephthalate(PET) or polystyrene (PS) alone or combined with BaP on an in vitro model of human bronchial epithelium that we recently developed to study short and long-term effects, on air-liquid interface (ALI) grown Calu-3 cell line (lung adenocarcinoma patient cells).</p>
https://doi.org/10.5281/zenodo.8038706
oai:zenodo.org:8038706
Zenodo
https://zenodo.org/communities/nsc
https://zenodo.org/communities/microplastic
https://zenodo.org/communities/cusp-research
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.8038705
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
microplastics
toxicology
benzo(a)pyrene
lung tissue
polyethylene terephthalate(PET)
polystyrene (PS)
human bronchial epithelium
air-liquid interface (ALI)
Calu-3
Toxicological evaluation of co-exposure to microplastics and benzo(a)pyrene on a 3D human bronchial epithelium model
info:eu-repo/semantics/conferencePoster
oai:zenodo.org:5906934
2023-06-30T17:28:47Z
user-microplastic
openaire_data
Atwood, Elizabeth C.
2022-01-26
<p>Field data locations associated with Piehl et al (2020) Can Water Constituents Be Used as Proxy to Map Microplastic Dispersal Within Transitional and Coastal Waters? doi: <a href="https://www.frontiersin.org/articles/10.3389/fenvs.2020.00092/full">10.3389/fenvs.2020.00092</a>. Full dataset table, including water quality measurements and sampled microplastic concentrations, can be found in the Supplemental Material of that publication. </p>
This publication was funded by the German Research Foundation (DFG) and the University of Bayreuth in the funding programme Open Access Publishing. This study was partly funded by the German Federal Ministry for Economic Affairs and Energy (Bundesministerium für Wirtschaft und Energie, or BMWi) via the DLR Space Administration under the grant numbers 50EE1301 and 50EE1269.
https://doi.org/10.5281/zenodo.5906934
oai:zenodo.org:5906934
eng
Zenodo
https://doi.org/10.3389/fenvs.2020.00092
https://zenodo.org/communities/microplastic
https://doi.org/10.5281/zenodo.5906933
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
microplastic, river, Elbe, Po Delta, Trave
River microplastic field data locations associated with publication
info:eu-repo/semantics/other
oai:zenodo.org:6599058
2023-06-30T17:29:20Z
user-msda
user-microplastic
user-microplastics-in-food-and-beverages
Akoueson Fleurine
Chbib Chaza
Dehaut Alexandre
Duflos Guillaume
2022-06-01
<p>High-Resolution (HR) mass spectrum of 57 organic plastic additives (OPAs) presented in the following table.</p>
<p>This HR-DTB contains the name, formula, molecular weight, CAS number, the majoritary ions of each compounds and their respective Retention Indices (RI).</p>
<p>Spectra were obtained using a GC Trace 1310-MS Orbitrap Q-exactive from (ThermoFisher Scientific - Les Ulis, France) equipped with a TriPlus RSH auto-sampler. The additives compounds were separated on a 30 m × 0.25 mm × 0.25 µm RXi-5ms capillary column (Restek - Lisses, France).</p>
<table>
<tbody>
<tr>
<td>
<p><strong>Molecules</strong></p>
</td>
<td><strong>Abbreviation</strong></td>
<td><strong>CAS</strong></td>
</tr>
<tr>
<td><strong>Plasticizers</strong></td>
</tr>
<tr>
<td>
<p>Dimethyl phthalate</p>
</td>
<td>
<p>DMP</p>
</td>
<td>
<p>131-11-3</p>
</td>
</tr>
<tr>
<td>
<p>Diethyl phthalate</p>
</td>
<td>
<p>DEP</p>
</td>
<td>
<p>84-66-2</p>
</td>
</tr>
<tr>
<td>
<p>Di-allyl phthalate</p>
</td>
<td>
<p>DAlP</p>
</td>
<td>
<p>131-17-9</p>
</td>
</tr>
<tr>
<td>
<p>Diisobutyl phthalate</p>
</td>
<td>
<p>DIBP</p>
</td>
<td>
<p>84-69-5</p>
</td>
</tr>
<tr>
<td>
<p>Di-n-butyl phthalate</p>
</td>
<td>
<p>DBP</p>
</td>
<td>
<p>84-74-2</p>
</td>
</tr>
<tr>
<td>
<p>Tributyl Acetyl Citrate</p>
</td>
<td>
<p>ATBC</p>
</td>
<td>
<p>77-90-7</p>
</td>
</tr>
<tr>
<td>
<p>Di-n-hexyl phthalate</p>
</td>
<td>
<p>DHP</p>
</td>
<td>
<p>84-75-3</p>
</td>
</tr>
<tr>
<td>
<p>Benzyl butyl phthalate</p>
</td>
<td>
<p>BBP</p>
</td>
<td>
<p>85-68-7</p>
</td>
</tr>
<tr>
<td>
<p>Bis-2-Ethylhexyl Adipate</p>
</td>
<td>
<p>DEHA</p>
</td>
<td>
<p>103-23-1</p>
</td>
</tr>
<tr>
<td>
<p>Diisoheptyl phthalate</p>
</td>
<td>
<p>DIHP</p>
</td>
<td>
<p>71888-89-6</p>
</td>
</tr>
<tr>
<td>
<p>Tri(2-ethylhexyl) phosphate</p>
</td>
<td>
<p>TEHPA</p>
</td>
<td>
<p>78-42-2</p>
</td>
</tr>
<tr>
<td>
<p>Dicylcohexyl phthalate</p>
</td>
<td>
<p>DCHP</p>
</td>
<td>
<p>84-61-7</p>
</td>
</tr>
<tr>
<td>
<p>Bis(2-Ethylhexyl) phthalate</p>
</td>
<td>
<p>DEHP</p>
</td>
<td>
<p>117-81-7</p>
</td>
</tr>
<tr>
<td>
<p>Diisononyl hexahydrophthalate</p>
</td>
<td>
<p>DINCH</p>
</td>
<td>
<p>166412-78-8</p>
</td>
</tr>
<tr>
<td>
<p>Di-n-octyl phthalate</p>
</td>
<td>
<p>DIOP</p>
</td>
<td>
<p>117-84-0</p>
</td>
</tr>
<tr>
<td>
<p>Diisononyl phthalate</p>
</td>
<td>
<p>DINP</p>
</td>
<td>
<p>68515-48-0</p>
</td>
</tr>
<tr>
<td>
<p>Di-nonyl phthalate</p>
</td>
<td>
<p>DNP</p>
</td>
<td>
<p>84-76-4</p>
</td>
</tr>
<tr>
<td>
<p>Diisodecyl phthalate</p>
</td>
<td>
<p>DIDP</p>
</td>
<td>
<p>68515-49-1</p>
</td>
</tr>
<tr>
<td><strong>Flames retardants</strong></td>
</tr>
<tr>
<td>
<p>Triethyl Phosphate</p>
</td>
<td>
<p>TEP</p>
</td>
<td>
<p>78-40-0</p>
</td>
</tr>
<tr>
<td>
<p>Tripropyl Phosphate</p>
</td>
<td>
<p>TPP</p>
</td>
<td>
<p>115-86-6</p>
</td>
</tr>
<tr>
<td>
<p>Tributyl Phosphate</p>
</td>
<td>
<p>TBP</p>
</td>
<td>
<p>126-73-8</p>
</td>
</tr>
<tr>
<td>
<p>2,4,6-Tribromophenol</p>
</td>
<td>
<p>2,4,6,TBP</p>
</td>
<td>
<p>118-79-6</p>
</td>
</tr>
<tr>
<td>
<p>Tris(2-Chloroethyl)Phosphate</p>
</td>
<td>
<p>TCEP</p>
</td>
<td>
<p>115-96-8</p>
</td>
</tr>
<tr>
<td>
<p>Tris(2-Chloroisopropyl)Phosphate</p>
</td>
<td>
<p>TCPP</p>
</td>
<td>
<p>13674-84-5</p>
</td>
</tr>
<tr>
<td>
<p>2,4,4’-Tribromodiphenyl ether</p>
</td>
<td>
<p>BDE-28</p>
</td>
<td>
<p>41318-75-6</p>
</td>
</tr>
<tr>
<td>
<p>Tris(1,3-Dichloro-2-Propyl)Phosphate</p>
</td>
<td>
<p>TDCPP</p>
</td>
<td>
<p>13674-87-8</p>
</td>
</tr>
<tr>
<td>
<p>Triphenyl Phosphate</p>
</td>
<td>
<p>TPhP</p>
</td>
<td>
<p>513-08-6</p>
</td>
</tr>
<tr>
<td>
<p>2,2’,4,4’-Tetrabromodiphenyl ether</p>
</td>
<td>
<p>BDE-47</p>
</td>
<td>
<p>5436-43-1</p>
</td>
</tr>
<tr>
<td>
<p>Tricresyl Phosphate</p>
</td>
<td>
<p>TCP</p>
</td>
<td>
<p>1330-78-5</p>
</td>
</tr>
<tr>
<td>
<p>Tricresyl Phosphate - isomer</p>
</td>
<td>
<p>TCrP</p>
</td>
<td>
<p>78-30-8</p>
</td>
</tr>
<tr>
<td>
<p>2,2’,4,4’,6-Pentabromodiphenyl ether</p>
</td>
<td>
<p>BDE-100</p>
</td>
<td>
<p>60348-60-9</p>
</td>
</tr>
<tr>
<td>
<p>Tri-o-tolyl phosphate</p>
</td>
<td>
<p>TToP</p>
</td>
<td>
<p>78-30-8</p>
</td>
</tr>
<tr>
<td>
<p>2,2’,4,4’,5-Pentabromodiphenyl ether</p>
</td>
<td>
<p>BDE-99</p>
</td>
<td>
<p>189084-64-8</p>
</td>
</tr>
<tr>
<td>
<p>2,2’,4,4’,5,5’-Hexabromodiphenyl ether</p>
</td>
<td>
<p>BDE-153</p>
</td>
<td>
<p>68631-49-2</p>
</td>
</tr>
<tr>
<td>
<p>2,2’,4,4’,5,6’-Hexabromodiphenyl ether</p>
</td>
<td>
<p>BDE-154</p>
</td>
<td>
<p>207122-15-4</p>
</td>
</tr>
<tr>
<td>
<p>2,2’,3,4,4’,5’,6-Heptabromodiphenyl ether</p>
</td>
<td>
<p>BDE-183</p>
</td>
<td>
<p>207122-16-5</p>
</td>
</tr>
<tr>
<td>
<p>1,2-Bis (2,4,6 Tribromophenoxy) ethane</p>
</td>
<td>
<p>BTBPE</p>
</td>
<td>
<p>37853-59-1</p>
</td>
</tr>
<tr>
<td><strong>Antioxydants</strong></td>
</tr>
<tr>
<td>
<p>6,6'-di-tert-butyl-2,2'-thiodi-p-cresol</p>
</td>
<td>
<p>Irganox® 1081</p>
</td>
<td>
<p>90-66-4</p>
</td>
</tr>
<tr>
<td>
<p>Butylated hydroxytoluene</p>
</td>
<td>
<p>BHT</p>
</td>
<td>
<p>128-37-0</p>
</td>
</tr>
<tr>
<td>
<p>pentaerythritol tetrakis (3-(3,5-di-t-butyl-4-hydroxyphenyl)propionate</p>
</td>
<td>
<p>Irganox® 1010</p>
</td>
<td>
<p>6683-19-8</p>
</td>
</tr>
<tr>
<td>
<p>3,5-di-tert-butyl-4-hydroxyhydrocinnamic acid, octadecyl ester</p>
</td>
<td>
<p>Irganox® 1076</p>
</td>
<td>
<p>2082-79-3</p>
</td>
</tr>
<tr>
<td>
<p>6,6'-ditert-butyl-4,4'-thiodin-m-cresol</p>
</td>
<td>
<p>Lowinox® TBM-6</p>
</td>
<td>
<p>96-69-5</p>
</td>
</tr>
<tr>
<td><strong>UV stabiliser</strong></td>
</tr>
<tr>
<td>
<p>2,2-dihydroxy-4,4-dimethoxybenzophenone</p>
</td>
<td>
<p>Uvinul® 3049</p>
</td>
<td>
<p>131-54-4</p>
</td>
</tr>
<tr>
<td>
<p>2-t-Butyl-6(5-chloro-2H-benzotriazol-2-yl)-4-methylphenol</p>
</td>
<td>
<p>UV-326</p>
</td>
<td>
<p>3896-11-5-</p>
</td>
</tr>
<tr>
<td>
<p>2-(2H-Benzotriazol-2-yl)-4,6-di-tert-pentylphenol</p>
</td>
<td>
<p>UV-328</p>
</td>
<td>
<p>25973-55-1</p>
</td>
</tr>
<tr>
<td>
<p>2,4-Di-tert-butyl-6-(5-chloro-2H-benzotriazol-2-yl)phenol</p>
</td>
<td>
<p>UV-327</p>
</td>
<td>
<p>3864-99-1</p>
</td>
</tr>
<tr>
<td>
<p>2-hydroxy-4-octyloxybenzophenone</p>
</td>
<td>
<p>Uvinul 3008</p>
</td>
<td>
<p>1843-05-6</p>
</td>
</tr>
<tr>
<td><strong>Antioxidants; Plasticizers; stabilizers</strong></td>
</tr>
<tr>
<td>
<p>4-Tert-Octylphenol</p>
</td>
<td>
<p>4-t-OP</p>
</td>
<td>
<p>140-66-9</p>
</td>
</tr>
<tr>
<td>
<p>Nonylphenol</p>
</td>
<td>
<p>NPs</p>
</td>
<td>
<p>84852-15-3</p>
</td>
</tr>
<tr>
<td>
<p>4-nonylphenol</p>
</td>
<td>
<p>4-NP</p>
</td>
<td>
<p>104-40-5</p>
</td>
</tr>
<tr>
<td>
<p>Nonylphenol Monoethoxylate</p>
</td>
<td>
<p>NP1EO</p>
</td>
<td>
<p>27986-36-3</p>
</td>
</tr>
<tr>
<td>
<p>Bisphenol F</p>
</td>
<td>
<p>BPF</p>
</td>
<td>
<p>620-92-8</p>
</td>
</tr>
<tr>
<td>
<p>4-Nonylphenol Monoethoxylate</p>
</td>
<td>
<p>4-NP1EO</p>
</td>
<td>
<p>104-35-8</p>
</td>
</tr>
<tr>
<td>
<p>Bisphenol A</p>
</td>
<td>
<p>BPA</p>
</td>
<td>
<p>80-05-7</p>
</td>
</tr>
<tr>
<td>
<p>Bisphenol B</p>
</td>
<td>
<p>BPB</p>
</td>
<td>
<p>77-40-7</p>
</td>
</tr>
<tr>
<td>
<p>Nonylphenol diethoxylate</p>
</td>
<td>
<p>NP2EO</p>
</td>
<td>
<p>N/A</p>
</td>
</tr>
<tr>
<td>
<p>Bisphenol S</p>
</td>
<td>
<p>BPS</p>
</td>
<td>
<p>80-09-1</p>
</td>
</tr>
</tbody>
</table>
https://doi.org/10.5281/zenodo.6599058
oai:zenodo.org:6599058
eng
Zenodo
https://zenodo.org/communities/msda
https://zenodo.org/communities/microplastic
https://zenodo.org/communities/microplastics-in-food-and-beverages
https://doi.org/10.5281/zenodo.6599057
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Plastic Additives
High-Resolution
GC-MS-Orbitrap
Plasticizers
Flame Retardants
Antioxidants
UV-Stabilzers
Organic Plastic Additives High-Resolution Mass Spectra
info:eu-repo/semantics/other
oai:zenodo.org:4774986
2021-05-24T19:50:58Z
user-microplastic
user-nsc
openaire
user-nanoriskgovernance
user-cusp-research
user-eu
Rudolf Reuther
Mark Morrison
Lesley Tobin
2021-05-20
<p>What are the Fate and Effects of Micro-/Nano-Plastics on Human Health? </p>
<p> </p>
<p>The main goal of PlasticsFatE (Plastics Fate and Effects in the Human Body) is to <br>
improve our present understanding of the impact of micro- and nano-plastics (MP/NP) <br>
and associated additives/adsorbed contaminants (A/C) in the human body. Human <br>
exposure to MP/NP may result from the widespread use of plastic products and their <br>
release to the environment, where they degrade to MP/NP particles. But plastics <br>
particles reach human and natural systems also as secondary by-products, e.g., from <br>
tyre wear or abrasion of textiles. These particles are found in food, drinking water, air <br>
and environmental media (food chain, soils). Despite recent efforts to assess human <br>
risks associated with MP/NP, our current knowledge is still insufficient. One reason is <br>
the lack of reliable and validated methods able to generate the science-based data we <br>
need. </p>
<p>PlasticsFatE will address this challenge and associated uncertainties by implementing <br>
a comprehensive measurement and testing program ("test the test"), including <br>
inter-laboratory studies, to improve and validate the performance and applicability of <br>
available methods and tools to MP/NP. The tested and validated approaches will be <br>
used to (1) identify and detect MP/NP and A/C in a variety of complex matrices, such <br>
as food and beverages, human tissues, and consumer products as well as relevant <br>
environmental media (air, drinking water, soils), and to (2) assess their (also long-term) <br>
fate and toxicity in the human body by using advanced cell culture and organ models <br>
that simulate real exposure to MP/NP in the respiratory and gastro-intestinal tracts. <br>
PlasticsFatE is part of the newly built “European MNP cluster on human health” that <br>
will support various relevant European strategies for plastics, such as the European <br>
Strategy for Plastics in a Circular Economy. </p>
https://doi.org/10.5281/zenodo.4774986
oai:zenodo.org:4774986
Zenodo
https://zenodo.org/communities/nsc
https://zenodo.org/communities/microplastic
https://zenodo.org/communities/cusp-research
https://zenodo.org/communities/eu
https://zenodo.org/communities/nanoriskgovernance
https://doi.org/10.5281/zenodo.4774985
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
microplastics
nanoplastics
plastic particles
human risks
inter-laboratory studies
toxicity
advanced cell culture
Circular Economy
What are the Fate and Effects of Micro-/Nano-Plastics on Human Health?
info:eu-repo/semantics/conferencePoster
oai:zenodo.org:7625279
2023-06-30T17:29:15Z
user-microplastic
user-nsc
user-microplastics-in-food-and-beverages
user-microplastics-in-the-human-body
user-cusp-research
user-eu
Steffen Foss Hansen
Jane Muncke
Andrej Kobe
Valentina Bertato
Djien Liem
Tobias Nielsen
Todd Gouin
Maria Chiara Astuto
Birgit Sokull Kluettgen
Irene Cattaneo
Antoine Keng
Alba Hernandez Bonilla
Virissa Lenters
Tanja Cirkovic Velickovic
Rudolf Reuther
Raymond Pieters
Roel Vermeulen
2023-02-09
<p><strong>CUSP workshop series on Human Risk Assessment of MNPs</strong></p>
<p><em>Three online thematic workshops are taking place in the Spring of 2023. These are the proceedings from the first workshop: 'Regulatory insights and knowledge gaps', which took place on Tuesday, February 7th 2023.</em></p>
<p>As part of CUSP’s aim to investigate and discuss the applicability of existing risk assessment frameworks related to micro- and nanoplastics (MNPs), the <a href="https://cusp-research.eu/working-groups/working-group-5/"><strong>CUSP Working Group on Risk Assessment</strong></a> (WG5), together with the CUSP member projects, is delivering a series of online thematic workshops in the Spring of 2023 under the theme “Human Risk assessment of Micro- and Nanoplastics (MNPs)”. </p>
<p>This first workshop, organized by WG5 and PlasticHeal, focused on regulatory insights and knowledge gaps. The second workshop within the series will be about risk assessment frameworks on March 14th and will be organized by WG5 and PolyRisk. The third workshop, organized by WG5 and PlasticsFatE, will take place on April 21st and will focus on data and information gaps.</p>
<p>If you'd like to know more about our activities, visit https://cusp-research.eu/#nl-sign-up and register to receive updates, connect with us on twitter, and follow us on Linked in.</p>
https://doi.org/10.5281/zenodo.7625279
oai:zenodo.org:7625279
Zenodo
https://zenodo.org/communities/nsc
https://zenodo.org/communities/microplastic
https://zenodo.org/communities/microplastics-in-food-and-beverages
https://zenodo.org/communities/cusp-research
https://zenodo.org/communities/eu
https://zenodo.org/communities/microplastics-in-the-human-body
https://doi.org/10.5281/zenodo.7625278
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
microplastics
nanoplastics
human health
risk assessment
environmental exposure
toxicity
knowledge gaps
regulation
policy
H2020
plastic particles
European Commission
MNPs
Human risk
CUSP Workshop #1 - Human Risk assessment of Micro- and Nanoplastics (MNPs) - Regulatory insights and knowledge gaps
info:eu-repo/semantics/other
oai:zenodo.org:5160052
2021-12-28T08:47:28Z
user-microplastic
user-hyperspectral-imaging
Geissen, Violette
Huerta-Lwanga, Esperanza
Corradini, Fabio
Berriot, Nicolas
2021-08-04
<p><strong>General description</strong></p>
<p>The upload presents an uFTIR hyperspectral image of microplastics extracted form a soil sample taken with an Agilent Cary 620 FTIR spectrometer. The image was used to perform the benchmark test of an R package: uFTIR (<a href="https://CRAN.R-project.org/package=uFTIR">https://CRAN.R-project.org/package=uFTIR</a>).</p>
<p><strong>Microplastic extraction</strong></p>
<p>The sample comes from a previous study (Corradini et al, 2019) from which we take a sample testing 1.4 plastics particles per gram of soil by Zhang et al (2018) method reported in (Corradini et al, 2021a). The soil sample was suspended in ZnCl<sub>2</sub>, stirred, centrifuged, and vacuum-filtered three times. At the end of the preparation process, a filter (Whatman(R) Anodisc Inorganic Membranes) that collected all buoyant particles was ready for the image acquisition.</p>
<p><strong>Image acquisition</strong></p>
<p>The <span class="math-tex">\(\mu\)</span>FTIR analysis was performed in transmission mode with a spectral resolution of 8 cm<sup>-1</sup> through a spectral range of 3500 - 1300 cm<sup>-1</sup> and 8 co-added scans. Data was recorded in absorbance (%). The microscope magnification was x4 with a pixel size resolution of 20.6 <span class="math-tex">\(\mu\)</span>m. The image comprises 64 single shots and 12Gb.</p>
<p><strong>Accompanying data</strong></p>
<p>We included a second folder that holds 4 images of 4 films made of 4 different plastic polymers that we took under the same conditions. We used this data to validate the accuracy of the software. The polymer films correspond to one polyethylene bag, two plastic cups ---one made of polypropylene and the other made of polystyrene---, and a polystyrene standard film (VARIAN P/N 883-9120).</p>
<p><strong>Further reading</strong></p>
<p>For a closer description of the soil sample and sample preparation see Corradini et al (2021a). For a detailed description of the software see (Corradini et al, 2021b), and visit the CodeOcean computer capsule at https://doi.org/10.24433/CO.5579643.v1. The software itself is available at R-CRAN repository (<a href="https://CRAN.R-project.org/package=uFTIR">https://CRAN.R-project.org/package=uFTIR</a>).</p>
<p><strong>If you reuse this image please cite</strong></p>
<p>Corradini, F, N Berriot, E Huerta-Lwanga, V Geissen. 2021. uFTIR: an R package to process hyperspectral images of environmental samples captured with <span class="math-tex">\(\mu\)</span>FTIR microscopes. SoftwareX,</p>
<p>---</p>
<p><strong>References</strong></p>
<p>Corradini et al. 2021a. 2021. Microplastics occurrence and frequency in soils under different land uses on a regional scale. Science of the Total Environment, 752, 141917. 10.1016/j.scitotenv.2020.141917</p>
<p>Corradini et al. 2021b. uFTIR: an R package to process hyperspectral images of environmental samples captured with <span class="math-tex">\(\mu\)</span>FTIR microscopes. SoftwareX, 16, 100857. 10.1016/j.softx.2021.100857</p>
<p>Corradini et al. 2019. Usefulness of an opportunistic data analysis approach to evaluate if environmental regulations aim at relevant applications. Geoderma, 351, 261-269. 10.1016/j.geoderma.2019.05.007</p>
<p>Zhang et al. 2018. A simple method for the extraction and identification of light density microplastics from soil. Science of the Total Environment, 616-617, 1056-1065. 10.1016/j.scitotenv.2017.10.213</p>
<p> </p>
This work was supported by Comisión Nacional de Investigación Cientı́fica y Tecnológica, CONICYT [grant 72170044]
https://doi.org/10.5281/zenodo.5160052
oai:zenodo.org:5160052
eng
Zenodo
https://CRAN.R-project.org/package=uFTIR
https://doi.org/10.1016/j.softx.2021.100857
https://zenodo.org/communities/microplastic
https://zenodo.org/communities/hyperspectral-imaging
https://doi.org/10.5281/zenodo.5160051
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
hyperspectral images
environmental monitoring
microplastics
soil pollution
IR microscopy
plastic pollution
FTIR hyperspectral image of microplastics extracted from a soil sample
info:eu-repo/semantics/other
oai:zenodo.org:8102223
2023-07-01T02:26:42Z
user-microplastic
Jana Weißer
2023-06-30
<p>This test report was written by Dr. Jana Weißer who assessed the performance of the Purency MicroplasticsFinder R2021a, a software tool for analyzing microplastics using machine learning. More information regarding the test principle can be found in the related publication <a href="https://www.mdpi.com/2673-8929/1/3/27">https://www.mdpi.com/2673-8929/1/3/27</a> and in her PhD thesis <a href="https://mediatum.ub.tum.de/1661839">https://mediatum.ub.tum.de/1661839</a>.</p>
https://doi.org/10.5281/zenodo.8102223
oai:zenodo.org:8102223
Zenodo
https://zenodo.org/communities/microplastic
https://doi.org/10.5281/zenodo.8102222
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
microplastics
FTIR imaging
chemometrics
machine learning
Chemometric Performance Assessment of Purency MicroplasticsFinder R2021a
info:eu-repo/semantics/technicalDocumentation
oai:zenodo.org:5607597
2021-12-28T08:47:54Z
user-microplastic
openaire_data
user-microplastics-in-food-and-beverages
user-microplastics-in-the-human-body
Paulo Augusto Da Costa Filho
Daniel Andrey
Bjorn Eriksen
Rafael P. Peixoto
Benoit M. Carreres
Mark E. Ambühl
Josep B. Descarrega
Stephane Dubascoux
Pascal Zbinden
Alexandre Panchaud
Eric Poitevin
Benoit M. Carreres
Paulo Augusto Da Costa Filho
Rafael Peixoto
2021-12-01
<p><strong>Data used in the scientific article to be published in Nature Scientific Reports.</strong></p>
https://doi.org/10.5281/zenodo.5607597
oai:zenodo.org:5607597
Zenodo
https://zenodo.org/communities/microplastic
https://zenodo.org/communities/microplastics-in-food-and-beverages
https://zenodo.org/communities/microplastics-in-the-human-body
https://doi.org/10.5281/zenodo.5607596
info:eu-repo/semantics/openAccess
Creative Commons Attribution Non Commercial Share Alike 4.0 International
https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
Microplastics
Milk
Raman
Detection
Classification
Characterization
Random Forest
Machine learning
R
Detection and characterization of small-sized microplastics (≥ 5 µm) in milk products
info:eu-repo/semantics/other
oai:zenodo.org:7856683
2024-03-05T23:17:47Z
user-microplastic
openaire
Seijo, Marianne
Whelan, Mick
Gouin, Todd
Praetorius, Antonia
2023-04-24
<p><strong>Introducing µBETR Global, a global scale, geographically explicit, multimedia microparticle transport and fate model</strong><br>
Marianne Seijo<sup>1</sup>, Mick Whelan<sup>2</sup>, Todd Gouin<sup>3</sup> and Antonia Praetorius<sup>1</sup><br>
<sup>1</sup>University of Amsterdam, NL<br>
<sup>2</sup>University of Leicester, UK<br>
<sup>3</sup> TG Environmental Research, UK E-mail contact: m.x.seijo@uva.nl</p>
<p><br>
<strong>1. Introduction</strong><br>
The production and use of plastics have drastically increased over the last decades and are still on the rise: Since the 1950s, 8.3 billion tons of plastics have been produced [1]. This is mainly due to the materials’ high versatility and low cost. But the reverse of the medal is that 79% accumulated in landfills and the natural environment [1], which is impacted by adverse effects. In fact, plastic pollution is feared to represent an irreversible planetary boundary threat [2]. A particular issue is the formation of microplastics (MPs), ranging from 5 mm down to 1 μm (and < 1μm nanoplastics), via fragmentation of larger plastic waste. The MP (and nanoplastic) size range encompasses different dynamics processes from Newton to Brownian: It makes them readily available for ingestion and/or inhalation for a plethora of organisms, including humans [3]. MPs have been found across the globe in all environmental compartments, from soils to air, from freshwaters to oceans. However, limited mechanistic understanding is available on specific transport pathways and the complex interaction and transformation processes that MPs can undergo in different environmental media over time.<br>
Environmental exposure models play an essential role in understanding the emissions, transport, and complex transformation processes of MPs in air, freshwater, soils, sediments, and the oceans. Adequate modelling tools are needed to support exposure and risk assessment. The particulate nature of MPs and their heterogeneity in terms of sources and physicochemical properties requires data-intensive modelling approaches, accounting for MP-specific transport and fate processes. Here we introduce a recently developed global-scale multimedia transport and fate model for MPs, focusing on the MP fate in the air.<br>
</p>
<p><strong>2. Materials and Methods</strong><br>
The μBETR Global model is based on a recently developed open-source multimedia mass-balance modeling framework for MPs, the Full Multi [4]. The Full Multi is a modular mass-balance framework for MP fate in surface water systems. It contains mechanistic process descriptions for MP transformation and fate, such as fragmentation, biofouling, heteroaggregation, and sedimentation. MPs are represented in different size classes and different forms (e.g., pristine, biofouled, heteroaggregated). Our μBETR Global model expands the MP process descriptions to cover additional environmental compartments (air and soil) and implements the multimedia fate model at the global scale. Similar to the gridded multimedia model approach in the BETR Global model for organic pollutants [5], μBETR Global represents worldwide fate and transport by linking grid cells (model unit cells) built from well-mixed boxes of different environmental media (air, different types of soil, freshwater, ocean water) representing the global environment (Fig.1). μBETR Global operates at a higher spatial resolution (0.5° grid cells, equivalent to 55.0 km) and a real-time scale. Environmental system parameters to describe the multimedia environment as a function of space and time are obtained at high resolution from the Copernicus observation program, the European Centre for Medium-Range Weather Forecasts' (ECMWF's), and from Era5 reanalysis data. In addition, MP-specific property and fate data are obtained from the literature where available or estimated based on current scientific understanding.<br>
Microplastic-specific fate processes implemented in the air include advection, wet and dry deposition, heteroaggregation with aerosols, degradation, fragmentation, vertical air exchange, and resuspension from land surface or via sea spray aerosol formation. Model equations are adapted to represent different MP sizes (from nano- to millimeter scale) and different shapes (e.g., spheres, plates, fibers). Emission estimates for different model scenarios are obtained from the literature based on measured data or material flow models.</p>
<p><br>
<strong>3. Results and Discussion</strong><br>
The μBETR Global model is able to represent MP fate and transport and high spatial and temporal resolution. Here we present a first implementation of the μBETR Global model focusing on the air compartment. Different model scenarios are presented with emissions into the air at selected locations<br>
around the globe. We show how the specific properties of MPs affect their potential for long-range environmental transport. For example, smaller size and lower density lead to a longer lifetime in the atmosphere, leading to deposition in remote regions. In contrast, larger and dense particles (including also heteroaggregates) are deposited more quickly towards land and water surface in areas close to emissions. We also demonstrate the impact of MP properties and emission location on long-range transport.<br>
<br>
</p>
<p><strong>4. Conclusions</strong><br>
The μBETR Global model builds upon regional scale MP-specific fate and transport models and existing multimedia mass balance models for organic chemicals to achieve the assessment of MP fate in a global environment at very high spatial and temporal resolution. In addition, the air compartment, rarely considered in previous multimedia models for MPs, is described in μBETR Global with mechanistic process descriptions accounting for MP size, shape, and density. As a result, the model shows great potential for gaining new insights into global microplastic transport and fate, including assessing the potential for long-range environmental transport and assessing the relative importance of different emissions. This provides a much-needed basis to determine the effectiveness of global mitigation efforts toward reducing plastic pollution.</p>
<p><br>
<strong>5. References</strong><br>
[1] Geyer R, Jambeck J. R., and Law K. L., 2017. Production, use, and fate of all plastics ever made. Science Advances 3: 1700782<br>
[2] MacLeod M, Arp HPH, Tekman MB, Jahnke A. 2021. The Global Threat from Plastic Pollution. Science 373: 61–65.<br>
[3] Amato-Lourenço LF, Carvalho-Oliveira R, Ribeiro Júnior G, dos Santos Galvão L, Ando RA, Mauad T. 2021. Presence of Airborne Microplastics in Human Lung Tissue. Journal of Hazardous Materials 416: 126124.<br>
[4] Domercq P, Praetorius A, MacLeod M. 2022. The Full Multi: An Open-Source Framework for Modelling the Transport and Fate of Nano- and Microplastics in Aquatic Systems. Environmental Modelling & Software 148: 105291.<br>
[5] MacLeod M, von Waldow H, Tay P, Armitage JM, Wöhrnschimmel H, Riley WJ, McKone TE, Hungerbuhler H. 2011. BETR Global – A Geographically-Explicit Global-Scale Multimedia Contaminant Fate Model. Environmental Pollution 159: 1442–45.<br>
<br>
Acknowledgement - Funding to support this work came from the European Chemical Industry Council (CEFIC) through the Long-Range Research Initiative LRI-ECO57.</p>
https://doi.org/10.5281/zenodo.7856683
oai:zenodo.org:7856683
eng
Zenodo
https://zenodo.org/communities/microplastic
https://doi.org/10.5281/zenodo.7856682
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
SETAC Europe, SETAC Europe 33rd Annual Meeting, Dublin, Ireland, 30 April–4 May 2023
Microplastics, Global Modeling, microBETR Global, modelling
Introducing 𝞵betr Global: A global-scale, geographically explicit, multimedia microparticle transport and fate model
info:eu-repo/semantics/conferencePoster
oai:zenodo.org:3377095
2020-01-24T19:21:52Z
user-microplastic
user-hyperspectral-imaging
openaire_data
Benedikt Hufnagl
Hans Lohninger
2019-08-26
<p>This set of spectral descriptors was designed for the purpose of detecting the polymers polyethylene (PE), polypropylene (PP), polystyrene (PS), polyacrylonitrile (PAN) and poly(methyl methacrylate) (PMMA).</p>
<p>The descriptors can be applied to hyperspectral image datasets using the software tool <a href="http://imagelab.at">Epina ImageLab</a>.</p>
https://doi.org/10.5281/zenodo.3377095
oai:zenodo.org:3377095
Zenodo
https://zenodo.org/communities/microplastic
https://zenodo.org/communities/hyperspectral-imaging
https://doi.org/10.5281/zenodo.3377094
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
hyperspectral imaging
dimensionality reduction
unsupervised learning
spectral descriptors
A collection of spectral descriptors for the detection of five polymer types
info:eu-repo/semantics/other
oai:zenodo.org:5236170
2021-09-13T07:30:59Z
user-microplastic
Claudio Cinquemani
2021-08-23
<p>workstream report</p>
https://doi.org/10.5281/zenodo.5236170
oai:zenodo.org:5236170
eng
Zenodo
https://zenodo.org/communities/microplastic
https://doi.org/10.5281/zenodo.5236169
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
building, plastics, recycling, affordable housing, chemistry, sustainable
Sustainable Building and Living, Focus on Plastics
info:eu-repo/semantics/article
oai:zenodo.org:5837595
2022-01-13T13:48:58Z
user-microplastic
user-microplastics-in-food-and-beverages
user-microplastics-in-the-human-body
user-cusp-research
CUSP
2022-01-12
<p>This is a brochure introducing the research goals and strategies that unite the five research projects collaborating within the CUSP Cluster, as well as each of the projects themselves. More information about CUSP is available on its website: <a href="https://cusp-research.eu/">https://cusp-research.eu/</a></p>
https://doi.org/10.5281/zenodo.5837595
oai:zenodo.org:5837595
eng
Zenodo
https://zenodo.org/communities/microplastic
https://zenodo.org/communities/microplastics-in-food-and-beverages
https://zenodo.org/communities/cusp-research
https://zenodo.org/communities/microplastics-in-the-human-body
https://doi.org/10.5281/zenodo.5837594
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
microplastics
nanoplastics
human health
environmental exposure
CUSP Brochure
info:eu-repo/semantics/report
oai:zenodo.org:2541745
2019-04-11T07:22:07Z
user-microplastic
user-hyperspectral-imaging
Hufnagl, Benedikt
Steiner, Dieter
Renner, Elisabeth
Löder, Martin G. J.
Laforsch, Christian
Lohninger, Hans
2019-01-16
<p>This short video shows the results of the application of a classifier for microplastics as described by Hufnagl et al. (2019).</p>
<p> </p>
<p>If you reuse this video please cite</p>
<p> </p>
<p>Hufnagl, B., Steiner, D., Renner, Löder, M. G. J., Laforsch, C. and Lohninger, H. <em>A Methodology for the Fast Identification and Monitoring of Microplastics in</em><em> Environmental Samples using Random Decision Forest Classifiers,</em> Analytical Methods, 2019, DOI:10.1039/C9AY00252A</p>
Research funding was provided by Deutsche Forschungsgemeinschaft (DFG) – project number 391977956 – SFB 1357 and the German Federal Ministry of Education and Research (project PLAWES, grant 03F0789A)
https://doi.org/10.5281/zenodo.2541745
oai:zenodo.org:2541745
eng
Zenodo
https://doi.org/10.5281/zenodo.2555732
https://doi.org/10.1039/C9AY00252A
https://doi.org/10.1007/s00216-018-1156-x
https://zenodo.org/communities/microplastic
https://zenodo.org/communities/hyperspectral-imaging
https://doi.org/10.5281/zenodo.2541744
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
microplastics
random decision forest
classification
particle detection
polymer identification
A Methodology for the Fast Identification and Monitoring of Microplastics in Environmental Samples using Random Decision Forest Classifiers
info:eu-repo/semantics/other
oai:zenodo.org:2555732
2020-01-24T19:24:33Z
user-microplastic
user-hyperspectral-imaging
openaire_data
Hufnagl, Benedikt
Steiner, Dieter
Renner, Elisabeth
Löder, Martin G. J.
Laforsch, Christian
Lohninger, Hans
2019-02-02
<p>This FTIR hyperspectral image shows an environmental plankton sample which has been spiked with microplastics in the size range between 10 and 200 µm. The added particles are one of the following polymer types:</p>
<ul>
<li>polyethylene</li>
<li>polypropylene</li>
<li>polystyrene</li>
<li>poly(methyl methacrylate)</li>
<li>polyacrylonitrile</li>
</ul>
<p>This hyperspectral image has been used as a source for training data for the creation of random decision forest classifiers. For a closer description of the dataset and the sample preparation see Hufnagl <em>et al.</em> (2019).</p>
<p> </p>
<p>If you reuse this dataset please cite</p>
<p> </p>
<p>Hufnagl, B., Steiner, D., Renner, Löder, M. G. J., Laforsch, C. and Lohninger, H. <em>A Methodology for the Fast Identification and Monitoring of Microplastics in</em><em> Environmental Samples using Random Decision Forest Classifiers,</em> Analytical Methods, 2019, DOI:10.1039/C9AY00252A</p>
Funding was provided by Deutsche Forschungsgemeinschaft (DFG) –project number 391977956–SFB 135 and the German Federal Ministry of Education and Research (project PLAWES, grant 03F0789A
https://doi.org/10.5281/zenodo.2555732
oai:zenodo.org:2555732
Zenodo
https://doi.org/10.1039/C9AY00252A
https://zenodo.org/communities/microplastic
https://zenodo.org/communities/hyperspectral-imaging
https://doi.org/10.5281/zenodo.2555731
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
microplastics
benchmark
FTIR
imaging
hyperspectral imaging
classification
Microplastic
info:eu-repo/semantics/other
oai:zenodo.org:5136574
2021-08-12T21:05:38Z
user-microplastic
Rosal, Roberto
2021-07-25
<p>The morphological description of microplastic particles is mostly based on subjective descriptors. However, data intercomparison require unambiguous classifications. This work presents a morphological description based on the lengths of the smallest enclosing orthogonal parallelepiped. Three dimensionless parameters, namely equancy, platiness and elongation describe any particle shape with reference on the basic 3D (sphere), 2D (plate) and 1D (rod) shapes. The particle size directly linked to the environmental fate of microplastics is the Stoke’s diameter. The derivation of Stoke’s diameter based on 3D morphological descriptors is explained and the proxies that can be used if only 2D projected images are available is discussed. This work shows that the behaviour of irregular particles is not adequately predicted using as descriptor the diameter of the sphere with the same volume as the particle. There is a need to obtain equations specifically developed for plastic particles, especially for fibres, and for the atmospheric compartment.</p>
https://doi.org/10.1016/j.marpolbul.2021.112716
oai:zenodo.org:5136574
Zenodo
https://zenodo.org/communities/microplastic
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Microplastics; particle shape; settling velocity; particle-fluid interaction
Morphological description of microplastic particles for environmental fate studies
info:eu-repo/semantics/article
oai:zenodo.org:4767185
2021-09-13T07:31:01Z
user-microplastic
Marco Vighi
Javier Bayo
Francisca Fernández-Piñas
Jesús Gago
May Gómez
Javier Hernández-Borges
Alicia Herrera
Junkal Landaburu
Soledad Muniategui-Lorenzo
Antonio-Román Muñoz
Andreu Rico
Cristina Romera-Castillo
Lucía Viñas
Roberto Rosal
2021-05-17
<p>Plastic litter dispersed in the different environmental compartments represents one of the most concerning problems associated with human activities. Specifically, plastic particles in the micro and nano size scale are ubiquitous and represent a threat to human health and the environment. In the last few decades, a huge amount of research has been devoted to evaluating several aspects of micro/nanoplastic contamination: origin and emissions, presence in different compartments, environmental fate, effects on human health and the environment, transfer in the food web and the role of associated chemicals and microorganisms. Nevertheless, despite the bulk of information produced, several knowledge gaps still exist. The objective of this paper is to highlight the most important of these knowledge gaps and to provide suggestions for the main research needs required to describe and understand the most controversial points to better orient the research efforts for the near future. Some of the major issues that need further efforts to improve our knowledge on the exposure, effects and risk of micro/nano-plastics are: harmonization of sampling procedures; development of more accurate, less expensive and less time consuming analytical methods; assessment of degradation patterns and environmental fate of fragments; evaluating the capabilities for bioaccumulation and transfer to the food web; and evaluating the fate and the impact of chemicals and microorganisms associated with micro/nano-plastics. The major gaps in all sectors of our knowledge, from exposure to potentially harmful effects, refer to small size microplastics and, particularly, to the occurrence, fate, and effects of nanoplastics.</p>
The authors acknowledge the support provided by the Spanish Ministry of Science through the Thematic Network of Micro- and Nanoplastics in the Environment (RED2018-102345-T, EnviroPlaNet)
https://doi.org/10.5281/zenodo.4767185
oai:zenodo.org:4767185
Zenodo
https://zenodo.org/communities/microplastic
https://doi.org/10.5281/zenodo.4767184
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Microplastics
Nanoplastics
Standardization
Internalization
Environmental risk
Additives
Microbial colonization
Micro and nanoplastics in the environment: Research priorities for the near future
info:eu-repo/semantics/article
oai:zenodo.org:5607477
2021-11-10T20:30:21Z
user-microplastic
openaire_data
Prosenc, Franja
Leban, Pia
Šunta, Urška
Bavcon Kralj, Mojca
2021-10-28
<p>Microplastic (MP) pollution is globally widespread, however their presence in soil systems is poorly understood due to complexity of soil and lack of standardised extraction methods. Datasets provided contain data from optimisation (recoveries) of MPs extraction protocol from soil and compost based on olive oil and density separation using zinc chloride, in case of low-density polyethylene and polyethylene terephthalate. Density separation was further used to extract five microplastic polymers (PET, PS, PE, PP and PVC), added to soil and compost at different concentrations, which is also included in the dataset. Additionally, identification data of extracted MPs from spiked soil and compost samples.</p>
Funded by Slovenian Research Agency, grants Z2-2643, P3-0388, and SP-0510/21
https://doi.org/10.5281/zenodo.5607477
oai:zenodo.org:5607477
eng
Zenodo
https://zenodo.org/communities/microplastic
https://doi.org/10.5281/zenodo.5607476
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
microplastics
oil extraction
density separation
soil
compost
polyethylene terephthalate
polyethylene
GC-MS
Data from: Extraction and identification of a wide range of microplastic polymers in soil and compost
info:eu-repo/semantics/other