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A comprehensive review of KCC-1 fibrous silica for water treatment
The growing global demand for freshwater necessitates advanced water treatment technologies. This review highlights the application of fibrous silica spheres, KCC-1, in water remediation, focusing on the removal of heavy metals and organic dyes. KCC-1’s unique fibrous morphology, high surface area, and physicochemical properties make it a promising adsorbent. This work examines its synthesis, modifications, and advantages, providing insights into optimizing KCC-1-based adsorbents for sustainable water treatment.
Metal organic frameworks for wastewater treatment, renewable energy and circular economy contributions
Metal-Organic Frameworks (MOFs) are versatile materials with tailorable structures, high surface areas, and controlled pore sizes, making them ideal for gas storage, separation, catalysis, and notably wastewater treatment by removing pollutants like antibiotics and heavy metals. Functionalization enhances their applications in energy conversion and environmental remediation. Despite challenges like stability and cost, ongoing innovation in MOFs contributes to the circular economy and aligns with Sustainable Development Goals.
Therapeutic vulnerabilities and pan-cancer landscape of BRAF class III mutations in epithelial solid tumors
Kinase-impaired class III BRAF mutations have recently received attention as a possible prognostic factor and therapeutic target. Class III BRAF variants differ from class I and class II mutations in terms of mechanism of pathway activation and therapeutic vulnerabilities. Genomic landscape analyses of tumors in large real-world cohorts represent a great opportunity to further characterize tumor-related molecular events and treatment vulnerabilities, however, such data is not yet available for tumors with BRAF class III mutations.
Modeling the impact of structure and coverage on the reactivity of realistic heterogeneous catalysts
Adsorbates often cover the surfaces of catalysts densely as they carry out reactions, dynamically altering their structure and reactivity. Understanding adsorbate-induced phenomena and harnessing them in our broader quest for improved catalysts is a substantial challenge that is only beginning to be addressed. Here we chart a path toward a deeper understanding of such phenomena by focusing on emerging in silico modeling methodologies, which will increasingly incorporate machine learning techniques. We first examine how adsorption on catalyst surfaces can lead to local and even global structural changes spanning entire nanoparticles, and how this affects their reactivity. We then evaluate current efforts and the remaining challenges in developing robust and predictive simulations for modeling such behavior. Last, we provide our perspectives in four critical areas—integration of artificial intelligence, building robust catalysis informatics infrastructure, synergism with experimental characterization, and adaptive modeling frameworks—that we believe can help surmount the remaining challenges in rationally designing catalysts in light of these complex phenomena.
Trace metals induce microbial risk and antimicrobial resistance in biofilm in drinking water
This study investigated the changes in water quality and microbial risks resulting from trace metal pollutants in stagnant drinking water conditions using a 168-h experimental simulation and a metagenomic approach. The results showed that Fe(III) increased the water turbidity. Stagnation also caused significant biofilm growth, which was increased by trace metal pollutants, resulting in a higher production of extracellular polymeric substances (EPS). Adaptive mechanisms of bacterial communities dominated by Pseudomonadota in response to trace metal pollutant stress were discovered. Pathogenic bacteria, particularly Salmonella enterica and Pseudomonas aeruginosa, were found in stagnant drinking water, potentially exacerbated by Al(III). The overall exposure risk of antibiotic resistance genes (ARGs) increased, whereas Fe(III) enhanced the co-occurrence of ARGs and pathogens, potentially leading to serious hidden microbial risks. This study reveals imperceptible microbial risks posed by trace metal pollutants in stagnant drinking water, providing scientific warning and advice for drinking water safety.
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