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By utilizing zinc amalgam as an in situ reductant and pH regulator, mild hydrothermal reaction between UO(CHCOO)·2HO, HSO, and CsCO or between UO(CHCOO)·2HO, CH(SOH), and KCO yielded a novel cesium U sulfate trimer Cs[UO(SO)]·2.2HO (1) and a new potassium U disulfonic hexamer K[UO(OH)(HO)][CH(SO)]·6HO (2), respectively. Compound 1 features a lamellar structure with a honeycomb lattice, and it represents an unprecedented trimeric U cluster composed of purely inorganic moieties. Complex 2 is built from hexanuclear U cores and K ions interconnected by μ-[CH(SO)] groups, leading to the construction of an extended framework rather than commonly observed discrete, neutral molecular sulfonate clusters. The various binding modes of the sulfate and disulfonate groups, especially the multidentate ones, enable additional bridging between metal ions, which promotes oligomerization and isolation of polynuclear species. Furthermore, compound 1 exhibits both ion-exchange properties and the Alexandrite effect, and it is the second example of a uranium complex without chromic functional ligands displaying the latter feature.
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http://dx.doi.org/10.1021/acs.inorgchem.8b01098 | DOI Listing |
AAPS PharmSciTech
September 2025
Analytical Chemistry Department, Faculty of Pharmacy, Cairo University, Cairo, 11562, Egypt.
The chimpanzee adenovirus-vectored vaccine developed by the University of Oxford (ChAdOx1 nCoV-19) showed good stability when stored in refrigerator. However, the vaccine manufacturer prefers its transportation in frozen condition. Data regarding the stability of the vaccine after exposure to repeated freezing processes have not been explored yet.
View Article and Find Full Text PDFLangmuir
September 2025
Department of Materials Science and Engineering, Drexel University, Philadelphia, Pennsylvania 19104, United States.
The surfaces of 1D layered lepidocrocite-structured titanates (1DLs) are negatively charged due to an oxygen-to-titanium atomic ratio >2. This, and their layered structure, allow for facile ion exchange and high colloidal stability, demonstrated by ζ-potentials of ≈ -85 mV at their unadjusted pH of ≈10.4.
View Article and Find Full Text PDFSmall
September 2025
National Laboratory of Solid State Microstructures, Collaborative Innovation Center of Advanced Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, College of Engineering and Applied Sciences, Nanjing University, Nanjing, 210093, P. R. China.
Artificial porous polymer coatings are promising for alleviating the side reactions and dendrite growth on Zn anodes. Nevertheless, the low ion transport ability constrains their application under harsh conditions such as thin Zn foil, high current density, and high depth of discharge (DOD). Herein, a 2D active filler is introduced to optimize the Zn migration in porous polymer coating.
View Article and Find Full Text PDFACS Electrochem
September 2025
Department of Material Science and Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United States.
Bipolar membranes (BPMs) are increasingly recognized as a promising electrolyte option for water electrolysis, attributable to their distinctive properties derived from the membrane's layered structure, which consists of an anion exchange (AEL) and a cation exchange layer (CEL). This study investigates four different BPMs and the influence they have on the performance of a water electrolysis cell under two different feed configurations: (1) a symmetric deionized water feed to both anode and cathode compartments and (2) an asymmetric feed with a 0.5 mol/L NaCl catholyte feed and a deionized water anolyte feed.
View Article and Find Full Text PDFMed Phys
September 2025
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing, China.
Background: Dual-energy computed tomography (DECT) enhances material differentiation by leveraging energy-dependent attenuation properties particularly for carbon ion therapy. Accurate estimation of tissue elemental composition via DECT can improve quantification of physical and biological doses.
Objective: This study proposed a novel machine-learning-based DECT (ML-DECT) method to predict the physical density and mass ratios of H, C, N, O, P, and Ca.