Developing pure inorganic materials capable of efficiently co-removing radioactive I and CHI has always been a major challenge. Bismuth-based materials (BBMs) have garnered considerable attention due to their impressive I sorption capacity at high-temperature and cost-effectiveness. However, solely relying on bismuth components falls short in effectively removing CHI and has not been systematically studied. Herein, a series of hollow mesoporous core-shell bifunctional materials with adjustable shell thickness and Si/Al ratio by using silica-coated BiO as a hard template and through simple alkaline-etching and CTAB-assisted surface coassembly methods (Bi@Al/SiO) is successfully synthesized. By meticulously controlling the thickness of the shell layer and precisely tuning of the Si/Al ratio composition, the synthesis of BBMs capable of co-removing radioactive I and CHI for the first time, demonstrating remarkable sorption capacities of 533.1 and 421.5 mg g, respectively is achieved. Both experimental and theoretical calculations indicate that the incorporation of acid sites within the shell layer is a key factor in achieving effective CHI sorption. This innovative structural design of sorbent enables exceptional co-removal capabilities for both I and CHI. Furthermore, the core-shell structure enhances the retention of captured iodine within the sorbents, which may further prevent potential leakage.
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http://dx.doi.org/10.1002/smll.202308451 | DOI Listing |
Environ Sci Pollut Res Int
January 2025
Nuclear Technique Laboratory, University of Science, Ho Chi Minh City, Vietnam.
Med Image Anal
February 2025
Department of Biomedical Engineering, Yale University, USA; Department of Radiology and Biomedical Imaging, Yale University, USA. Electronic address:
Rubidium-82 (Rb) is a radioactive isotope widely used for cardiac PET imaging. Despite numerous benefits of Rb, there are several factors that limits its image quality and quantitative accuracy. First, the short half-life of Rb results in noisy dynamic frames.
View Article and Find Full Text PDFJ Transl Autoimmun
December 2024
Department of Nuclear Medicine, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaan Xi Province, 710004, China.
Background: Since the end of the COVID-19 pandemic, the potential roles of thyroid-inflammatory derangements in driving or being associated with the prognosis of COVID-19 remain controversial. We aimed to clarify the association between COVID-19 infection and thyroid dysfunction, and highlight the impacts of subsequent autoimmune thyroid disease (AITD) on the prognosis of COVID-19.
Methods: The retrospective, multicenter, cohort study enrolled 2,339 participants with COVID-19 from three hospitals located in the north, middle, and south regions of Shaan Xi Province, China, between December 2022 and July 2023.
Chemosphere
November 2024
Centre for Herbal Pharmacology and Environmental Sustainability, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, 603103, Tamil Nadu, India. Electronic address:
With increasing urbanization and industrialization, growing amounts of industrial waste, such as red mud (RM), fly ash (FA), blast furnace slag (BFS), steel slag (SS), and sludge, are being produced, exposing substantial threats to the environment and human health. Given that numerous researchers associate with conventional adsorbents, developing and utilizing industrial wastes derived from adsorption technology still has received limited attention. Utilizing this waste contributes to developing alternative materials with superior performance and significantly reduces the volume of solid waste.
View Article and Find Full Text PDFSci Total Environ
November 2024
Departments of Geosciences and Environmental Engineering, University of Cincinnati, OH, USA.
Natural barriers, encompassing stable geological formations that serve as the final bastion against radionuclide transport, are paramount in mitigating the long-term contamination risks associated with the nuclear waste disposal. Therefore, it is important to simulate and predict the processes and spatial-temporal distributions of radionuclide transport within these barriers. However, accurately predicting radionuclide transport on the field scale is challenging due to uncertainties associated with parameter scaling.
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