Semiconducting transition metal oxides such as [Formula: see text] are promising photo(electro)catalysts for solar water splitting and photoreduction of [Formula: see text] as well as for antibacterial, self-, water and air-cleaning coatings and admixtures in paints, building materials, on window glass or medical devices. In photoelectrocatalytic applications [Formula: see text] is usually used as photoanode only catalyzing the oxidation reaction. In coatings and admixtures [Formula: see text] works as heterogeneous catalyst and has to catalyze a complete redox cycle. While photoelectrochemical charge transport parameters are usually quite well accessible by electrochemical measurements, the quantitative description of photocatalytic properties is more challenging. Here, we present a systematic structural, photoelectrocatalytic, photocatalytic and antimicrobial study to understand if and how photoelectrochemical parameters can be used to predict the photocatalytic activity of [Formula: see text]. For this purpose [Formula: see text] thin films on flourine-doped tin oxide substrates were prepared and annealed at temperatures between 200 and 600 [Formula: see text]. The film morphologies and thicknesses were studied by GIXRD, FESEM, and EDX. Photoelectrochemical properties were measured by linear sweep voltammetry, photoelectrochemical impedance spectroscopy, chopped light chronoamperometry, and intensity modulated photocurrent/ photovoltage spectroscopy. For comparison, photocatalytic rate constants were determined by methylene blue degradation and Escherichea coli inactivation and correlated with the deduced photoelectrocatalytic parameters. We found that the respective photoactivities of amorphous and crystalline [Formula: see text] nanolayers can be best correlated, if the extracted photoelectrochemical parameters such as charge transfer and recombination rates, charge transfer efficiencies and resistances are measured close to the open circuit potential (OCP). Hence, the interfacial charge transport parameters at the OCP can be indeed used as descriptors for predicting and understanding the photocatalytic activity of [Formula: see text] coatings.
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http://dx.doi.org/10.1038/s41598-021-01165-x | DOI Listing |
Sci Rep
January 2025
University of São Paulo, ICMC, São Carlos, 13566-590, Brazil.
Identifying driver genes is crucial for understanding oncogenesis and developing targeted cancer therapies. Driver discovery methods using protein or pathway networks rely on traditional network science measures, focusing on nodes, edges, or community metrics. These methods can overlook the high-dimensional interactions that cancer genes have within cancer networks.
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January 2025
Department of Applied Physics and Chemical Engineering, Tokyo University of Agriculture and Technology, Koganei, Tokyo, 184-8588, Japan.
We report the synthesis, crystal structure, and magnetic properties of a new Kitaev honeycomb cobaltate, KCoAsO, which crystallizes in two distinct forms: P2/c and R[Formula: see text] space groups. Magnetic measurements reveal ordering temperatures of ~ 14 K for the P2/c structure and ~ 10.5 K for the R[Formula: see text] structure.
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January 2025
School of Computer Science and AI, SR University, Warangal, Telangana, India.
One of the most fatal diseases that affect people is skin cancer. Because nevus and melanoma lesions are so similar and there is a high likelihood of false negative diagnoses challenges in hospitals. The aim of this paper is to propose and develop a technique to classify type of skin cancer with high accuracy using minimal resources and lightweight federated transfer learning models.
View Article and Find Full Text PDFProc Biol Sci
January 2025
School of Life Sciences, Arizona State University, Tempe, AZ 85287, USA.
In animals, metabolic rates during ontogeny often scale differently from the way they do in cross-species or population comparisons, with near-isometric scaling patterns more often observed during juvenile growth. In multiple social insect taxa, colony metabolic rate scales hypometrically across species or populations at the same developmental stage, but metabolic patterns during ontogeny have not been examined for any social insect species. We performed the first ontogenetic study of social metabolic scaling in harvester ant colonies () over 3.
View Article and Find Full Text PDFJ R Soc Interface
January 2025
Structure and Motion Laboratory, The Royal Veterinary College, North Mymms, Hatfield AL9 7TA, UK.
Swimming and flying animals produce thrust with oscillating fins, flukes or wings. The relationship between frequency , amplitude and forward velocity can be described with a Strouhal number , where = 2/, where animals are observed to cruise with [Formula: see text]-0.4.
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