Alkaline ferri/ferro-cyanide-based flow batteries are well suited for energy storage because of their features of high electrochemical activity, good kinetics and low material cost. However, they suffer from low energy density and poor temperature adaptability. The ferri/ferro-cyanide catholyte exhibits low solubility (~0.4 M at 25 °C) in NaOH- or KOH-based supporting electrolyte and can easily form precipitates below room temperature. Here we report a lithium-based supporting electrolyte that significantly enhances the solubility of ferrocyanide. The use of LiOH intensifies the ion-dipole interaction between water molecules and solutes and cripples polarization among ferrocyanide ions. Thus, we have achieved a ferrocyanide-based catholyte of 1.7 M at 25 °C and of 0.8 M at -10 °C. A zinc-ferricyanide flow battery based on the lithium-based supporting electrolyte demonstrates a steady charge energy of ~72 Wh L at 25 °C, and maintains stable for ~4200 cycles (~4200 hours). Furthermore, it remains stable for ~800 cycles (~800 hours) at -10 °C.
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http://dx.doi.org/10.1002/anie.202412559 | DOI Listing |
Arch Dermatol Res
January 2025
Blood Purification Center, Zhejiang Hospital, 1229 Gudun Road, Xihu District, Hangzhou, Zhejiang, 310030, China.
Uremic pruritus (UP) is a debilitating condition frequently associated with chronic kidney disease, severely impairing patients' quality of life and contributing to increased mortality. Recent studies have suggested that intravenous sodium thiosulfate (STS) may offer therapeutic relief for pruritus in patients undergoing hemodialysis. To assess its effectiveness, we conducted a systematic review and meta-analysis to explore the potential of intravenous STS in managing UP.
View Article and Find Full Text PDFBMC Oral Health
January 2025
Faculty of Dentistry, Department of Endodontics, Ondokuz Mayis University, Samsun, Kurupelit, 55139, Turkey.
Background: The aim was to evaluate the stresses in teeth, with external root resorption (ERR) restored with different materials using finite element analysis (FEA).
Methods: In this study, a Micro-CT scan was conducted on a prepared maxillary central tooth. DICOM-compatible images obtained from the sections were converted into stereolithography format using Ctan software.
Nat Commun
January 2025
Department of Chemical Engineering, Worcester Polytechnic Institute, Worcester, MA, USA.
The economic feasibility of low-carbon ammonia production pathways, such as steam methane reforming with carbon capture and storage, biomass gasification, and electrolysis, is assessed under various policy frameworks, including subsidies, carbon pricing, and renewable hydrogen regulations. Here, we show that employing a stochastic techno-economic analysis at the plant level and a net present value approach under the US Inflation Reduction Act reveals that carbon capture and biomass pathways demonstrate strong economic potential due to cost-effectiveness and minimal public support needs. Conversely, the electrolytic pathway faces significant economic challenges due to higher costs and lower efficiency.
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January 2025
Department of Food Engineering and Technology, School of Food Engineering, State University of Campinas, Campinas, SP, Brazil. Electronic address:
Threshold determination forms an integral part of sensory and consumer studies applied for product control and development. The authors examined the potential of an impedimetric electronic tongue to discriminate basic tastes and consider limitations pertaining to the sensory evaluation process. Three samples at lower, medium, and higher concentration levels of basic taste compounds were prepared and subjected to consumer studies (n = 60) using the difference from-control (DFC) test.
View Article and Find Full Text PDFSci Adv
January 2025
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano and IU.NET, Piazza Leonardo da Vinci 32, 20133 Milano, Italy.
Neurological disorders are a substantial global health burden, affecting millions of people worldwide. A key challenge in developing effective treatments and preventive measures is the realization of low-power wearable systems with early detection capabilities. Traditional strategies rely on machine learning algorithms, but their computational demands often exceed what miniaturized systems can provide.
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