All-solid-state fluoride ion batteries (ASSFIBs) show remarkable potential as energy storage devices due to their low cost, superior safety, and high energy density. However, the poor ionic conductivity of F conductor, large volume expansion, and the lack of a suitable anode inhibit their development. In this work, PbSnF solid electrolytes in different phases (β- and γ-PbSnF) are successfully synthesized and characterized. The ASSFIBs composed of β-PbSnF electrolytes, a BiF cathode, and micrometer/nanometer size (µ-/n-) Sn anodes, exhibit substantial capacities. Compared to the μ-Sn anode, the n-Sn anode with nanostructure exhibits superior battery performance in the BiF/β-PbSnF/Sn battery. The optimized battery delivers a high initial discharge capacity of 181.3 mAh g at 8 mA g and can be reversibly cycled at 40 mA g with a high discharge capacity of over 100.0 mAh g after 120 cycles at room temperature. Additionally, it displays high discharge capacities over 90.0 mAh g with excellent cyclability over 100 cycles under -20 °C. Detailed characterization has confirmed that reducing Sn particle size and boosting external pressure are crucial for achieving good defluorination/fluorination behaviors in the Sn anode. These findings pave the way to designing ASSFIBs with high capacities and superior cyclability under different operating temperatures.
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http://dx.doi.org/10.1002/smll.202401502 | DOI Listing |
BMC Microbiol
January 2025
Department of Medical Microbiology and Immunology, Faculty of Medicine, Benha University, Benha, Egypt.
Background: Novel platforms using nanotechnology-based medicines have exponentially increased in our daily lives. The unique characteristics of metal oxide and noble metals nanoparticles make them suitable for different fields including antimicrobial agents, cosmetics, textiles, wound dressings, and anticancer drug carriers.
Methods: This study focuses on the biosynthesis of small-sized SNPs using exo-metabolites of Fusarium oxysporum via bioprocess optimization using Plackett-Burman (PBD) and central composite designs (CCD) while evaluating their multifaceted bioactivities.
J Fluoresc
January 2025
Chongqing College of Mobile Communication, Chongqing, 401520, China.
In this study, a simple and efficient method for synthesizing nitrogen-doped carbon quantum dots (N-CQDs) has been developed through a one-step hydrothermal process using hedyotis diffusa willd. The morphology, chemical composition, and optical properties of the resulting N-CQDs were thoroughly characterized. The synthesized N-CQDs exhibited a spherical shape with an average particle size of 4.
View Article and Find Full Text PDFSci Rep
January 2025
Food Toxicology and Contaminants Department, National Research Centre, Dokki, Cairo, 12622, Egypt.
Food commodities, including mycotoxins naturally produced from toxigenic fungi (pre- or post-harvest), are particularly vulnerable to contamination. The study intended to use unique bioactive composites loaded with antimicrobial constituents for food packaging. Three composite types are based on carboxymethyl cellulose/shellac (CMC/SH) and loaded with pomegranate extract (POE) with or without jojoba oil (JOE) at various concentrations.
View Article and Find Full Text PDFDalton Trans
January 2025
School of Physics and Optoelectronics, South China University of Technology, Guangzhou 510640, P. R. China.
CaCoO/rGO was prepared by combining a sol-gel strategy and mechanical ball milling method. The Rietveld refinement results demonstrated a single-phase structure with a monoclinic symmetry. When utilized as an anode for lithium-ion batteries, it exhibited excellent rate performance and electrochemical stability due to the significantly decreasing particle size as well as the formation of a conductive rGO network in the composite after ball milling.
View Article and Find Full Text PDFJ Pharm Anal
November 2024
BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University, Gyeonggi, 10326, Republic of Korea.
To enhance the efficiency of vaccine manufacturing, this study focuses on optimizing the microfluidic conditions and lipid mix ratios of messenger RNA-lipid nanoparticles (mRNA-LNP). Different mRNA-LNP formulations ( = 24) were developed using an I-optimal design, where machine learning tools (XGBoost/Bayesian optimization and self-validated ensemble (SVEM)) were used to optimize the process and predict lipid mix ratio. The investigation included material attributes, their respective ratios, and process attributes.
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