Radionickel ion (Ni) remediation is critical for public health and the environment, but selectively capturing of Ni from complex environments like seawater presents a challenge. Metal sulfide ion exchangers (MSIEs) are emerging as efficient adsorbents for radionuclides; however, the study of MSIEs for selectively removing Ni is still in its infancy. Herein, the layered metal sulfide KCuSnS (CTS-1) with a unique sandwich-like anionic framework was synthesized by the hydrothermal method for the first time, representing a novel approach in the selective capture of Ni from complex environments. Single-crystal structural analysis confirmed the sandwich-like framework, in which a [Cu-S] sublayer is sandwiched by two [Sn-S] sublayers with parallel grooves. The charge-balancing K ions are located within these grooves. Due to its special structure, CTS-1 exhibits remarkable adsorption capacities for Ni with rapid kinetics (a high rate constant k of 7.26 ×10 g/(mg·min)), broad pH durability (removal rates >97 % at pH 3-12), and high selectivity (separation factors for Ni >700 against various cations). Impressively, it can efficiently remove Ni from multiple complex environments, achieving a 90.28 % removal rate even in seawater (C ∼5 mg/L). CTS-1 is environmentally friendly and suitable for use in fixed-bed columns for the practical application. Moreover, Ni ions are captured through ion exchange with K, and the high selectivity stems from the strong affinity of S for Ni and the trapping effect of the grooves within the structure. In summary, this pioneering study demonstrates the highly selective capture of Ni by a sandwich-like layered MSIE, potentially inspiring the development of efficient scavengers for radionuclides.
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http://dx.doi.org/10.1016/j.jhazmat.2024.136562 | DOI Listing |
Plant Divers
November 2024
School of Ecology and Environment, Xinjiang University, Wulumuqi, 830017, China.
As the core of leaf functional traits, the trade-off relationship between the petiole and lamina expresses the plant's adaptability to the environment in terms of support structure and photosynthesis. We investigated the proportions of allometric growth in the relationship between the petiole and the lamina of broadleaf woody plants in temperate highland Tianshan Mountains montane forests through three dimensions (length, area, and mass), including the length of the lamina (LL) and the length of the petiole (PL), and the area of the lamina (LA) and petiole cross sectional area (PCA) versus the mass of the lamina (LM) and the mass of the petiole (PM), as well as exploring the characteristics of the variance in response to seasonal changes. We found that the functional traits in all three dimensions showed a clear convergent evolution as the seasons progressed, that is, a "seasonal effect" of increasing and then decreasing.
View Article and Find Full Text PDFCureus
January 2025
Oncologic Sciences, University of South Florida Morsani College of Medicine, Tampa, USA.
Obesity is a complex and non-communicable disease with a pandemic entity. Currently, multiple causes can lead to obesity, and it is not always easy to create a direct relationship between physical inactivity, poor quality of nutrients consumed, and calculation of excess calories. Among the associated comorbidities, obesity creates a dysfunctional environment of respiratory rhythms at the central and peripheral levels, with functional, morphological, and phenotypic alteration of the diaphragm muscle.
View Article and Find Full Text PDFFront Plant Sci
December 2024
School of Future Technology, Fujian Agriculture and Forestry University, Fuzhou, China.
In the cultivation of green chili peppers, the similarity between the fruit and background color, along with severe occlusion between fruits and leaves, significantly reduces the efficiency of harvesting robots. While increasing model depth can enhance detection accuracy, complex models are often difficult to deploy on low-cost agricultural devices. This paper presents an improved lightweight Pepper-YOLO model based on YOLOv8n-Pose, designed for simultaneous detection of green chili peppers and picking points.
View Article and Find Full Text PDFPhotosynthetica
January 2025
University of Reims Champagne-Ardenne, INRAE, RIBP, USC 1488, 51100 Reims, France.
High temperatures severely affect plant growth and development leading to major yield losses. These temperatures are expected to increase further due to global warming, with longer and more frequent heat waves. Rhamnolipids (RLs) are known to protect several plants against various pathogens.
View Article and Find Full Text PDFiScience
January 2025
Division of Optometry, Health Sciences, City University of London, London EC1V 0HB, UK.
A key property of our environment is the mirror symmetry of many objects, although symmetry is an abstract global property with no definable shape template, making symmetry identification a challenge for standard template-matching algorithms. We therefore ask whether Deep Neural Networks (DNNs) trained on typical natural environmental images develop a selectivity for symmetry similar to that of the human brain. We tested a DNN trained on such typical natural images with object-free random-dot images of 1, 2, and 4 symmetry axes.
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