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Enhanced oxidation and in-situ coagulation Fe(Ⅱ)/peroxymonosulfate-Mn(Ⅶ) process for carbamazepine removal: Multiple promoting effects of Mn and direct/indirect regulation of Cl- on active substances transformation.
J Hazard Mater
December 2024
School of Civil Engineering and Architecture, Anhui University of Technology, Maanshan, Anhui 243002, China; Engineering Research Center of Biomembrane Water Purification and Utilization Technology, Ministry of Education, Maanshan, Anhui 243002, China. Electronic address:
Slow transformation efficiency of Fe(III)/Fe(II) limits the generation of radicals in peroxymonosulfate (PMS)-based advanced oxidation processes (AOPs), and these radicals was easy to be interfered by the presence of water constituents. In addition, in-situ coagulation during this oxidation process was neglected. This study proposed Fe(II)/PMS-Mn(VII) in the presence of chlorides ions (FPMC) process to reveal multiple promoting effects of Mn on redox cycle of Fe(III)/Fe(II) and different reactive mechanisms of Cl on types of radicals generation pathways, and the in-situ coagulation enhanced mechanisms was investigated.
View Article and Find Full Text PDFExploitation of phylum-spanning omics resources reveals complexity in the nematode FLP signalling system and provides insights into flp-gene evolution.
BMC Genomics
December 2024
School of Biological Sciences, Queen's University Belfast, 19 Chlorine Gardens, Belfast, BT9 5DL, UK.
Background: Parasitic nematodes significantly undermine global human and animal health and productivity. Parasite control is reliant on anthelmintic administration however over-use of a limited number of drugs has resulted in escalating parasitic nematode resistance, threatening the sustainability of parasite control and underscoring an urgent need for the development of novel therapeutics. FMRFamide-like peptides (FLPs), the largest family of nematode neuropeptides, modulate nematode behaviours including those important for parasite survival, highlighting FLP receptors (FLP-GPCRs) as appealing putative novel anthelmintic targets.
View Article and Find Full Text PDFFormulation, E-Beam Crosslinking, and Comprehensive Characterisation of Lavender Oil-Enriched Hydrogels.
Polymers (Basel)
November 2024
National Institute for Laser, Plasma and Radiation Physics, 409 Atomiștilor, 077125 Măgurele, Romania.
This study focused on the formulation, electron beam (e-beam) crosslinking, and characterisation of hydrogels enriched with lavender oil (LO) to enhance their structural and functional properties for biomedical applications. Stable hydrogels were synthesised using water-soluble polymers and suitable ratios of Tween 80 and Isopropyl alcohol (IPA) as surfactant and co-surfactant, respectively, via e-beam irradiation at doses up to 70 kGy. The most effective crosslinking was achieved with a radiation dose of 30 kGy, depending on the concentrations of surfactants and LO.
View Article and Find Full Text PDFUnlocking the Mycobacteroides abscessus pan-genome using computational tools: insights into evolutionary dynamics and lifestyle.
Antonie Van Leeuwenhoek
November 2024
Department of Botany, Ramananda College, Life Sciences Block, Bishnupur, West Bengal, 722122, India.
Mycobacteroides abscessus is a non-tuberculous mycobacteria implicated in causing lung infections. It is difficult to control owing to resistance to antibiotics and disinfectants. This work was aimed at comprehending: the pan-genome architecture, evolutionary dynamics, and functionalities of pan-genome components linked to COGs and KEGG.
View Article and Find Full Text PDFCombining graph deep learning and London dispersion interatomic potentials: A case study on pnictogen chalcohalides.
J Chem Phys
November 2024
Department of Physics, Gebze Institute of Technology, Gebze, Kocaeli 41400, Türkiye.
Machine-learning interatomic potential models based on graph neural network architectures have the potential to make atomistic materials modeling widely accessible due to their computational efficiency, scalability, and broad applicability. The training datasets for many such models are derived from density-functional theory calculations, typically using a semilocal exchange-correlation functional. As a result, long-range interactions such as London dispersion are often missing in these models.
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