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Rapid and efficient removal of radioactive iodine from nuclear accidents and effluent waste was significantly essential to protect the living environment and maintain human health. The nano-zero-valent copper modified activated carbon fiber (Cu@ACF) composite was successfully synthesized via an in situ self-reduction method. The structural and chemical compositions of both pristine and iodine-adsorbed samples (ACF and Cu@ACF) were systematically analyzed by X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS). The coexistence of carbon and copper was verified using energy dispersive spectroscopy (EDS). The effects of modifier concentration, contact time, pH value and interfering ions on the removal of I and I were comprehensively investigated through batch experiments. The adsorption capacity of 4 wt% Cu@ACF for I reached 980 mg/g (C = 1000 mg/L, pH = 2), and for I was 358 mg/g (C = 400 mg/L, pH = 2), significantly outperforming other reported iodine adsorbents. The kinetic studies revealed that the adsorption processes followed pseudo-second-order kinetics, while isotherm data were best described by the Langmuir model (R > 0.99), indicating monolayer chemisorption. The adsorption mechanism was dominated by chemical reactions where in iodide ions (I) interact with the metallic nano‑copper (Cu) anchored on the ACF surface, resulting in the formation of CuI characterized by polar covalent bonding. In a word, Cu@ACF showed an outstanding potential for radioactive wastewater treatment applications and this work presents a facile strategy for developing high-performance ACF-based adsorbents.
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http://dx.doi.org/10.1016/j.scitotenv.2025.180279 | DOI Listing |
PLoS One
September 2025
School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, China.
Accurate prediction of time-varying dynamic parameters during the milling process is a prerequisite for chatter-free cutting of thin-walled parts. In this paper, a matrix iterative prediction method based on weighted parameters is proposed for the time-varying structural modes during the milling of thin-walled blade structures. The thin-walled blade finite element model is established based on the 4-node plate element, and the time-varying dynamic parameters of the workpiece during the cutting process can be obtained by modifying the thickness of the nodes through the constructed mesh element finite element model It is not necessary to re-divide the mesh elements of the thin-walled parts at each cutting position, thus improving the calculation efficiency of the dynamic parameters of the workpiece.
View Article and Find Full Text PDFMicrobiol Spectr
September 2025
Guangdong Laboratory for Lingnan Modern Agriculture, College of Natural Resources and Environment, South China Agricultural University, Guangzhou, China.
Unlabelled: Microalgae treatment is regarded as a green and environmentally acceptable method of treating pig farm biogas slurry (BS). Numerous studies have been conducted on the use of microalgae to treat sterilized BS. Nevertheless, in large-scale application settings, this method will undoubtedly result in high costs and low efficiency.
View Article and Find Full Text PDFTree Physiol
September 2025
Pollen Biotechnology of Crop Plants Group, Margarita Salas Center of Biological Research, CIB-CSIC, Ramiro de Maeztu 9, 28040, Madrid, Spain.
Somatic embryogenesis (SE) is an in vitro mass propagation system widely employed in plant breeding programs. However, its efficiency in many forest species remains limited due to their recalcitrance. SE relies on the induction of somatic cell reprogramming into embryogenic pathways, a process influenced by transcriptomic changes regulated, among other factors, by epigenetic modifications such as DNA methylation, histone methylation, and histone acetylation.
View Article and Find Full Text PDFInt J Phytoremediation
September 2025
Innovative Food Technologies Development Application and Research Center, Gölköy Campus Bolu, Bioenvironment and Green Synthesis Research Group, Bolu Abant İzzet Baysal University, Bolu, Türkiye.
This study presents an eco-friendly approach for the green synthesis of manganese oxide nanoparticles (MnONPs) using () (einkorn wheat) seed extract as a reducing and stabilizing agent. The synthesized MnONPs were characterized by UV-Vis, XRD, FTIR, SEM-EDX, BET, and zeta potential analyses, which confirmed their crystalline nature, spherical morphology, and mesoporous structure with a surface area of 41.50 m/g.
View Article and Find Full Text PDFFront Plant Sci
September 2025
College of Big Data, Yunnan Agricultural University, Kunming, China.
Introduction: Accurate identification of cherry maturity and precise detection of harvestable cherry contours are essential for the development of cherry-picking robots. However, occlusion, lighting variation, and blurriness in natural orchard environments present significant challenges for real-time semantic segmentation.
Methods: To address these issues, we propose a machine vision approach based on the PIDNet real-time semantic segmentation framework.