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The direct oxidative transfer process (DOTP) in heterogeneous catalytic persulfate oxidation (HCPO) systems has gained increasing attention. In this process, the reaction rate is linked to pollutant properties, and identifying this correlation through descriptors offers insights into reaction mechanisms and water treatment strategies. However, most of the existing descriptors are based on static molecular properties and show limited correlation with reactivity and mechanisms. In this work, we proposed descriptors based on molecular thermodynamic state changes during reactions. The descriptor reflecting the energy change associated with losing two electrons and one proton (Δ) proves most effective, exhibiting a strong correlation ( = 0.938) with the reaction rate of phenolic and amine pollutants in carbon nanotube/peroxydisulfate system. Multiscale characterizations elucidate the DOTP mechanism in this system, explaining Δ's superior performance and highlighting the critical role of pollutant proton transfer. A comprehensive analysis of the new and existing descriptors reveals the limitations of previous descriptors and the influence of the substrate range on applicability. Additionally, Δ demonstrates broad applicability across diverse HCPO systems and practicality in real water matrices. This work provides insights for developing molecular descriptors for catalytic oxidation processes.
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http://dx.doi.org/10.1021/acs.est.4c13406 | DOI Listing |
Braz Oral Res
September 2025
Universidade Federal do Rio Grande do Norte -UFRN, Department of Dentistry, Natal, RN, Brazil.
This study aimed to histomorphometrically evaluate the effect of guided bone regeneration (GBR) and two implant surfaces on the thickness and height of newly formed bone in dehiscence defects around titanium implants. Three premolars and the first bilateral molar were extracted from ten adult mongrel dogs, and 40 buccal bone dehiscences measuring 5 mm in height and 4 mm in width were created using a University of North Carolina (UNC) periodontal probe to confirm the dimensions. Forty implants were randomly assigned to one of four groups: oxidized implant surfaces (OIS, n = 10), turned/machined implant surfaces (TIS, n = 10), OIS + GBR (n = 10), and TIS + GBR (n = 10).
View Article and Find Full Text PDFProc Natl Acad Sci U S A
September 2025
HHMI and The Rockefeller University, New York, NY 10065.
Replication of cellular chromosomes requires a primase to generate short RNA primers to initiate genomic replication. While bacterial and archaeal primase generate short RNA primers, the eukaryotic primase, Polα-primase, contains both RNA primase and DNA polymerase (Pol) subunits that function together to form a >20 base hybrid RNA-DNA primer. Interestingly, the DNA Pol1 subunit of Polα lacks a 3'-5' proofreading exonuclease, contrary to the high-fidelity normally associated with DNA replication.
View Article and Find Full Text PDFDev Growth Differ
September 2025
Department of Biological Sciences, College of Arts, Sciences, and Education, Florida International University, Miami, Florida, USA.
Superoxide dismutases (SODs) are key regulators of reactive oxygen species (ROS) and redox balance. Although intracellular SODs have been extensively studied, growing attention has been directed toward understanding the roles of extracellular SODs in both Dictyostelium and mammalian systems. In Dictyostelium discoideum, SodC is a glycosylphosphatidylinositol (GPI)-anchored enzyme that modulates extracellular superoxide to regulate Ras, PI3K signaling, and cytoskeletal remodeling during directional cell migration.
View Article and Find Full Text PDFInorg Chem
September 2025
Synthesis and Characterization of Innovative Materials, TUM School of Natural Sciences, Department of Chemistry, Technical University of Munich, Lichtenbergstraße 4, Garching b. München 85748, Germany.
Semiconductors with one-dimensional (1D) substructures are promising for next-generation optical and electronic devices due to their directional transport and flexibility. Representatives of this class include HgPbP-type materials. This study investigates the related semiconductors AgGeP and AgSnP.
View Article and Find Full Text PDFJ Chem Inf Model
September 2025
Songshan Lake Materials Laboratory, Dongguan 523808, PR China.
Large language models (LLMs) have demonstrated transformative potential for materials discovery in condensed matter systems, but their full utility requires both broader application scenarios and integration with ab initio crystal structure prediction (CSP), density functional theory (DFT) methods and domain knowledge to benefit future inverse material design. Here, we develop an integrated computational framework combining language model-guided materials screening with genetic algorithm (GA) and graph neural network (GNN)-based CSP methods to predict new photovoltaic material. This LLM + CSP + DFT approach successfully identifies a previously overlooked oxide material with unexpected photovoltaic potential.
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