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9 results for “Self-cleaning”
Evaluation of surface properties that influence the self-cleaning action of hydrophobic plant leaves
<p>It is well established that many leaf surfaces display self-cleaning properties. However, an understanding of how the surface properties interact is still not achieved. Twelve different leaf types were selected for analysis due to their water repellency and self-cleaning properties.</p>
The self-cleaning properties of biomimetic surfaces to repel Escherichia coli and Listeria monocytogenes attachment, adhesion, and retention
<p>Surface hydrophobicity and roughness were determined for unmodified wax surfaces (control), biomimetic wax surfaces, and Gladioli leaves. The self-cleaning properties of the biomimetic and control surfaces were compared by measuring their propensity to repel <em>Escherichia coli</em> and <em>Listeria monocytogenes</em> attachment, adhesion, and retention in mono- and co-culture conditions.</p>
Characterization and effect of biomimetic surfaces based on the topography of a self-cleaning leaf on bacterial binding
<p>Four self-cleaning leaves (Tenderheart, Cauliflower, White cabbage, and Leek) and the corresponding biomimetic surfaces were analyzed for their properties (water contact angle, surface hydrophobicity and roughness). The antifouling behavior was assessed by bacterial attachment, adhesion, and retention assays.</p>
Humidity and temperature influence on the self-cleaning performance of building materials containing the photocatalysts
<p>Datasets for article Humidity and temperature influence on the self-cleaning performance of building materials containing the photocatalysts</p>
Data for "From Kitchen Garden to Multifunctionality: Leek-inspired Surface Structures Introduce Optical and Self-cleaning Properties to Cellulose-based Films"
<p>UV-Vis:<br>The optical properties were measured from 300 nm to 800 nm. The transmittance and haze were calculated using the following equations, and the results were reported for three sets of measurements:<br>Transmittance (%) = T2/T1 × 100 <br>Haze (%) = (T4/T2 - T3/T1) × 100 <br>where T1 is the reference transmitted light without the sample, T2 is the total light transmitted with the presence of the sample, T3 is light beam scattering by the UV-Vis device, and T4 is the diffusive transmittance, referring to the light transmitted by both the sample and the device. <br>The zip files are named by noting 'UV-Vis' followed by the type of sample.</p> <p>Current density-Voltage:<br>Seven sets of measurements were conducted on perovskite solar cell (PSC) devices, comparing the performance of uncoated (noted as pristine) devices to those coated with the replica. Additionally, another seven sets of measurements compared the performance of devices with and without the replica+2%CW coating. The data are recorded in .txt files noted by 'Current density-Voltage spectra.'</p> <p>Light scattering with halogen light beam:<br>The intensity of the illuminated light is determined for the length of a horizontal line passing through the center by using image analysis. The intensities are provided for all the cases, i,e,. with no film, with plain CA film, and with the replica. The .txt file is named 'Light scattering with halogen light beam.'</p> <p> </p>
Skin hydrophobicity as an adaptation for self-cleaning in geckos
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Easy and fast fabrication of self-cleaning and anti-icing perfluoroalkyl silane film on aluminium
<p><strong>Easy and fast fabrication of self-cleaning and anti-icing perfluoroalkyl silane film on aluminium</strong></p> <p><strong>Peter Rodič<sup>a,</sup></strong><sup><a href="#_ftn1">[1]</a></sup><strong>, Barbara Kapun<sup>a</sup>, Matjaž Panjan<sup>b</sup>, Ingrid Milošev<sup>a</sup></strong></p> <p><sup>a</sup> Jožef Stefan Institute, Department of Physical and Organic Chemistry, Jamova c. 39, SI-1000 Ljubljana, Slovenia</p> <p><sup>b </sup>Jožef Stefan Institute, Department of Thin Films and Surfaces, Jamova c. 39, SI-1000 Ljubljana, Slovenia</p> <p> </p> <p>Appendix B:</p> <p>The following videos complement the data and Figures 9-11 in this article. They are available in the online version.</p> <p>Appendix 2 = Video A1. Bouncing dynamic characterisation</p> <p>Appendix 3 = Video A2. Water rolling off the surface</p> <p>Appendix 4 = Video A3. Self-cleaning of solid pollutants</p> <p>Appendix 5 = Video A4. Anti-icing properties and melting delay</p> <p>Appendix 6 = Video A5. Ice adhesion on ground and treated aluminium</p> <p> </p> <p><sup><a href="#_ftnref1">[1]</a> </sup>Corresponding author; e-mail: <a href="mailto:peter.rodic@ijs.si">peter.rodic@ijs.si</a> (P. Rodič); tel.: + 386 1 4773 261</p> <p> </p>
Self-cleaning coatings for sand stones
<p>Datasets for manuscript Self-cleaning coatings for sand stones</p>
Superhydrophobic aluminium surface to enhance corrosion resistance and obtain self-cleaning and anti-icing ability
<p>Video S1: title. The surface appearance of ground and treated aluminium with an AS-8 and treated aluminium with a FAS-8 covered with carbon particles a) before and b) after rinsing with tap water.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.