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61 results for “Polystyrene”

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zenodo44/100

Data for: Polystyrene nanoplastics differentially influence the outcome of infection by two microparasites of the host Daphnia magna

<p>This dataset supports the findings of the study 'Polystyrene nanoplastics differentially influence the outcome of infection by two microparasites of the host <em>Daphnia magna</em>', published in Philosophical Transactions of the Royal Society B (https://doi.org/10.1098/rstb.2022.0013).</p>

opencc-by-4.0Jun 2022View details →
zenodo44/100

Diffusion coefficients on amorphous polystyrene and modelling of migration levels from plastic packaging

<p>This dataset is actually supplementary data of the scientific article:</p> <p>Martinez-Lopez, Brais; Gontard, Natalie and Peyron, Stephane &quot;Worst case prediction of additives migration from polystyrene for food safety purposes: a model update&quot; in Food Additives and Contaminants Part A, doi:10.1080/19440049.2017.1402129.</p> <p>If you use it, please cite it using the reference file we have provided.</p> <p>This description is the same as in the file &quot;readme.txt&quot;, included in the upload.</p> <p>List of files:</p> <ul> <li>The file database_D contains the experimental diffusivity data for amorphous polystyrene used for the figure 1b. It is a spreadsheet file with two tabs. In the first tab, the diffusion coefficients can be found by choosing molecule family (and the publication were they were found) and temperature in celsius degrees. The second tab contains the same diffusivity data, but they are ranged by increasing molecular weight and temperature. This file is available in open document (.ods) and microsoft excel (.xlsx) formats.</li> <li>The file migration modelling is also a spreadsheet file, and contains several tabs. The first tab (diffusion coefficient) is an implementation of equation 1, the predictive model for overestimated diffusion coefficients. The given Ap and tau parameter sets are the ones specified in Table 2 for amorphous polystyrene. The second tab (migration levels) is an implementation of equation 3, the solution to Fick&#39;s second law that is used to predict migration levels in food, for pre-selected values of alpha (equation 5). The tabs labeled alpha =... contain the sums used in the equation, whereas the tab &quot;roots&quot; contains the first 200 roots of trascendental equation 4, needed to calculate the sum or terms. This file is also available in open document (.ods) and microsoft excel (.xlsx) formats.</li> <li>The file &quot;table.pdf&quot; sums the main characteristics of the molecule families, together with the references where they were found (in the second page).</li> <li>The file reference.bib contains the reference that should be cited if you use this dataset for your own work.</li> <li>Finally, the file readme.txt contains this very same description.</li> </ul> <p>These files have undergone thorough check, so there should not be any mistakes. In the rare event that you find one, please report it to the author so it can get fixed.</p> <p>bramar@food.dtu.dk</p> <p>Brais Mart&iacute;nez L&oacute;pez, PhD<br> Assistant professor<br> DTU F&oslash;devareinstituttet<br> Danmarks Tekniske Universitet<br> S&oslash;ltofts Plads<br> Bygning 227<br> 2800 Kgs. Lyngby</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Aug 2017View details →
zenodo44/100

DATASET: Protein Binding Leads to Reduced Stability and Solvated Disorder in the Polystyrene Nanoparticle Corona

<p>This dataset contains the DLS, CD, fluorescence, ITC, TEM, and ANS raw data used for the manuscript.</p>

opencc-by-4.0Jul 2023View details →
zenodo44/100

DATASET: Exploring the Residue-Level Interactions between the R2ab Protein and Polystyrene Nanoparticles

<p>This file contains the raw hydrogen-deuterium exchange data used in the manuscript. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD044469. 202308</p>

opencc-by-4.0Aug 2023View details →
zenodo40/100

Raw and analyzed data for manuscript: "Superhydrophilic coating of pine wood by plasma functionalization of self-assembled polystyrene spheres"

<p><strong>Abstract: </strong></p> <p>Self-assembling films typically used for colloidal lithography have been applied to pine wood substrates to change the surface wettability. Therefore, monodisperse polystyrene (PS) spheres have been deposited onto a rough pine wood substrate via dip coating. The resulting PS sphere film resembled a polycrystalline FCC-like structure with typical domain sizes of 5 &ndash; 15 single spheres. This self-assembled coating was further functionalized via an O<sub>2</sub> plasma. This plasma treatment strongly influenced the particle sizes in the outermost layer, and hydroxyl as well as carbonyl groups were introduced to the PS spheres&rsquo; surfaces, thus generating a superhydrophilic behaviour.</p>

opencc-by-4.0Nov 2020View details →
zenodo40/100

Dataset accompanying the publication "Transport and retention of micro-Polystyrene in coarse riverbed sediments: Effects of flow velocity, particle and sediment sizes"

<p>The dataset in this repository is accompanying the publication &quot;Transport and retention of micro-Polystyrene in coarse riverbed sediments: Effects of flow velocity, particle and sediment sizes&quot; (in Microplastics and Nanoplastics, 2023, submitted 09.06.2023)</p> <p>The repository contains the raw image files of all sample filters which were scanned using the fluorescence imaging system ChemiDoc and used to analyse the infiltration behaviour of microplastic polystyrene in the manuscript. In addition, we provide the resulting data from the particle identification and geometric analysis which were derived from the raw data using ImageJ in tabular excel format. The data is structured in folders following the naming of the columns from the manuscript.</p>

opencc-by-4.0Jun 2023View details →
zenodo36/100

Freely diffusing 100 nm polystyrene nanoparticles captured with nanoparticle tracking analysis

<p>100nm polystyrene NP (Kisker-Biotech, PPs-0.1) which were collected with a NanoSight<sup>TM</sup> LM10 system equipped with a LM14 green (535 nm) laser module and a cooled Andor camera (Andor-DL-658-OEM).</p> <p>FPS: 30</p> <p>Pixelsize: 166</p>

opencc-by-4.0Nov 2016View details →
dryad36/100

Effects of acute exposure to polystyrene nanoplastics on the channel catfish larvae: Insights from energy metabolism and transcriptomic analysis

<p><span>Microplastics (nanoplastics) pollution has been a major ecological issue threatening global aquatic ecosystems. However, knowledge of the adverse effects of nanoplastics and the effects on freshwater ecosystems is still limited. To understand the impacts of nanoplastics on freshwater ecosystems, it is essential to reveal the physiological changes caused by nanoplastics in freshwater organisms, especially at their early life-history stages. In the present study, the larval channel catfish <em>Ietalurus punetaus</em> were exposed to gradient concentrations (0, 5, 10, 25 and 50 mg/L) of 75-nm polystyrene nanoplastics (PS-NPs) for 24 h or 48 h, and changes in contents of energy metabolites, metabolic enzyme activities and transcriptome were assessed. The results showed glucose and triglyceride contents increased after 24 h of exposure to 10 or 25 mg/L of PS-NPs but decreased with increased concentrations or prolonged exposure duration. Activities of most metabolic enzymes analyzed decreased in the larvae after 48 h of exposure, especially in 25 or 50 mg/L of PS-NPs. These suggested that PS-NPs caused huge energy consumption and disturbed the energy metabolism in larval fish. Transcriptomic analysis showed that 48 h of exposure to 50 mg/L PS-NPs affected the expression of genes involved in protein digestion and induced response of proteasomes or heat shock proteins in the larval <em>I. punetaus</em>. The genes involved in peroxisome proliferator-activated receptors (PPAR) pathway and biosynthesis of amino acids were activated after the exposure. PS-NPs also depressed the expression of the genes involved in gonad development or muscle contraction in the larval <em>I. punetaus</em>. Overall, acute exposure to 75-nm PS-NPs disrupted the energy metabolism by consuming  the energy reserves, and affected a series of molecular pathways which may further affect the development and survival of fish. This study provided the information about adverse effects of nanoplastics on the fish larvae and revealed the molecular pathways for the potential adverse outcomes.</span></p>

opencc-zeroMay 2022View details →
zenodo36/100

Species-dependent responses of crop plants to polystyrene microplastics

<p>Only recently there has been a strong focus on the impacts of <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/microplastics">microplastics</a> on terrestrial crop plants. This study aims to examine and compare the effects of microplastics on two monocotyledonous (barley, <em>Hordeum vulgare</em> and wheat, <em>Triticum aestivum</em>), and two dicotyledonous (carrot, <em>Daucus carota</em> and lettuce, <em>Lactuca sativa</em>) <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/plant-specie">plant species</a> through two complimentary experiments. First, we investigated the effects of low, medium, and high (103, 105, 107 particles per mL) concentrations of 500&nbsp;nm <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/polystyrene">polystyrene</a> microplastics (PS-MPs) on seed germination and early development. We found species-dependent effects on the early development, with microplastics only significantly affecting lettuce and carrot. When acutely exposed during germination, PS-MPs significantly delayed the germination of lettuce by 24%, as well as promoted the shoot growth of carrot by 71% and decreased its biomass by 26%. No effect was recorded on monocot species. Secondly, we performed a chronic (21 d) hydroponic experiment on lettuce and wheat. We observed that PS-MPs significantly reduced the shoot growth of lettuce by up to 35% and increased its biomass by up to 64%, while no record was reported on wheat. In addition, stress level indicators and defence mechanisms were significantly up-regulated in both lettuce and wheat seedlings. Overall, this study shows that PS-MPs affect plant development: impacts were recorded on both germination and growth for dicots, and responses identified by biochemical markers of stress were increased in both lettuce and wheat. This highlights species-dependent effects as the four crops were grown under identical conditions to allow direct comparison. For future research, our study emphasizes the need to focus on crop specific effects, while also working towards knowledge of plastic-induced impacts at environmentally relevant conditions.</p>

opencc-by-4.0Jun 2024View details →
zenodo36/100

Crater diameter of granular polystyrene layer with various diameter of grains and Weber number of water droplet

<p>Datas about experiments of impacts made in 2021-2023. A water droplet impacting a polystyrene granular layer of 4 differents grains diameters. These datas give the crater diameter obtain in function of the Weber number of the droplet. A file from tomography of the granular layer before impact is added.</p>

opencc-by-4.0Jul 2024View details →
zenodo36/100

Size matters: The effects of polystyrene nanoplastics on parasite transmission in the Daphnia-Metschnikowia host-parasite system

Open the record for dataset details and reuse information.

opencc-by-4.0Aug 2024View details →
zenodo36/100

Dataset obtained from DoE for the construction of lightweight concrete blocks using expanded polystyrene

<p>The dataset used in this study was generated through a Design of Experiments (DOE) approach to predict the material mixture proportions using machine learning techniques. It contains 36 experiments, where the independent variables include the proportions of cement, sand, gravel, and expanded polystyrene (Styrofoam). The dependent variables are the compressive strength values and water absorption rates, calculated across multiple components and used to classify the mixtures.</p> <p>The dataset columns include:</p> <ul> <li><strong>Cement:</strong> The proportion of cement used in the mixture.</li> <li><strong>Sand:</strong> The proportion of sand used.</li> <li><strong>Gravel:</strong> The proportion of gravel.</li> <li><strong>Styrofoam (Sty):</strong> The proportion of expanded polystyrene.</li> <li><strong>Comp. 1-6:</strong> Compressive strength values for different components.</li> <li><strong>Comp. Mean:</strong> The mean compressive strength value.</li> <li><strong>Abs. 1-3:</strong> Water absorption values for different components.</li> <li><strong>Abs. Mean:</strong> The mean water absorption rate.</li> <li><strong>Classification:</strong> The final classification of the mixture based on the obtained results, indicating if the mixture belongs to categories such as "B," "C," "D," or "No classification."</li> </ul> <p>This dataset was used to train and validate machine learning models, aiming to predict the mixture properties based on the material proportions.</p>

opencc-by-4.0Oct 2024View details →
zenodo36/100

Raw data repository for the article: "Revealing the impact of polystyrene-functionalization of Au octahedral nanocrystals of different sizes on formation and structure of mesocrystals"

<p>Raw data depository for the article in ChemNanoMat journal: <a href="https://doi.org/10.1002/cnma.202300336">DOI: 10.1002/cnma.202300336</a>. Details and the file description&nbsp;are given in the file &quot;Lapkin_Dataset_Info.pdf&quot;</p>

opencc-by-4.0Jun 2023View details →
dryad36/100

Effects of acute exposure to polystyrene nanoplastics on the channel catfish larvae: Insights from energy metabolism and transcriptomic analysis

Open the record for dataset details and reuse information.

publicOct 2022View details →
zenodo32/100

Freely diffusing 100 nm polystyrene nanoparticles captured with nanoparticle tracking analysis

<p>100nm polystyrene NP (Kisker-Biotech, PPs-0.1) which were collected with a NanoSight<sup>TM</sup> LM10 system equipped with a LM14 green (535 nm) laser module and a cooled Andor camera (Andor-DL-658-OEM).</p> <p>FPS: 30</p> <p>Pixelsize: 166</p>

opencc-by-4.0Nov 2016View details →
dryad32/100

Polystyrene-induced changes in adipose transcriptome

<p>Microplastics (MP) derived from the weathering of polymers, or synthesized in this size range, have become widespread environmental contaminants and have found their way into water supplies and the food chain. Despite this awareness, little is known about the health consequences of MP ingestion. We have previously shown that the consumption of polystyrene (PS) beads was associated with intestinal dysbiosis, diabetes, and obesity in mice. To further evaluate the systemic metabolic effects of PS on the gut-liver-adipose tissue axis, we supplied C57BL/6J mice with normal water or that containing two sizes of PS beads (0.5mm and 5mm) at a concentration of 1mg/ml. After 13wk, we evaluated several indices of metabolism and liver function. As previously observed, mice drinking the PS-containing water had a potentiated weight gain and adipose expansion. Here we found that this was associated with an increased abundance of adipose F4/80<sup>+</sup> macrophages. These exposures did not cause non-alcoholic fatty liver disease (NAFLD) but were associated with decreased liver:body weight ratios and an enrichment in hepatic FXR and LXR signaling. PS also increased hepatic cholesterol and altered both hepatic and cecal bile acids. Mice consuming PS beads and treated with the berry anthrocyanin, delphinidin, demonstrated an attenuated weight gain compared to those mice receiving a control intervention and also exhibited a down-regulation of cAMP and PPAR signaling pathways. This study highlights the obesogenic role of PS in perturbing the gut-liver-adipose axis and altering nuclear receptor signaling and intermediary metabolism. Dietary interventions may limit the adverse metabolic effects of PS consumption.  </p>

opencc-zeroJan 2024View details →
zenodo32/100

Polypropylene and polystyrene may be less thrombogenic than a commercial non-binding surface under plasma-free conditions

<p>Trained Ilastik model used to quantification of survace coverage by platelets is included along with python scripts and ImageJ macros.</p> <p>Raw data representing platelet coverage are inclued in xls file.</p>

opencc-by-4.0Nov 2024View details →
zenodo32/100

Dataset: Polystyrene and SARS-CoV-2 S protein MD simulations

<p>Coordinates (input files and equilibrated structures) corresponding to&nbsp;the MD simulations reported in Sahihi and Faraudo, J. Chem. Inf. Model. 2022, 62, 16, 3814&ndash;3824 <a href="https://doi.org/10.1021/acs.jcim.2c00562">https://doi.org/10.1021/acs.jcim.2c00562</a>&nbsp;. Please cite this publication and the dataset in any use of the data.</p> <p>The coordinate files in pdb format include fully glycosylated structures of the S1 subunit of SARS-CoV-2 spike protein (up and down confirmations) and a polystyrene slab.</p>

openother-openDec 2021View details →
zenodo32/100

Trapping of polystyrene beads and Colo205 cells using planar hydrodynamic traps and buried channels

<p>S1 is a 2x accelerated video&nbsp;of the trapping of 5&nbsp;&micro;m in diameter polystyrene beads in an array of 522 traps using an inlet pressure of 40 mbar and a control pressure of 0 mbar.</p> <p>S2 represents the trapping of Colo205 cells stained using calcein AM in an array of 25 traps using an inlet pressure of 40 mbar and a control pressure of 0&nbsp;mbar.</p> <p>S3 shows the movement of Colo205 cells flowing around the trapped cells.&nbsp;</p>

opencc-by-4.0Sep 2021View details →
zenodo32/100

A PETase enzyme synthesised in the chloroplast of the microalga Chlamydomonas reinhardtii is active against PET and polystyrene

<p>The list contains:</p> <p>1) raw data for chromatographies: HiprepSPHP and SEC</p> <p>2) raw data for UV-vis Spectrum</p> <p>3) raw data for all MS/MS spectra manuscript + supplementary</p> <p>4) raw data for AFM&nbsp;</p> <p>5) report data from HPLC</p>

opencc-by-4.0Mar 2023View details →

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