The COVID-19 pandemic motivated research on antiviral filtration used in personal protective equipment and HVAC systems. In this research, three coating compositions of NaCl, Tween 20 surfactant, and NaCl-Tween 20 were examined on polypropylene spun-bond filters. The pressure drop, coverage, and crystal size of the coating methods and compositions were measured. Also, in vitro plaque assays of the Phi6 Bacteriophage on Pseudomonas syringae as a simulation of an enveloped respiratory virus was performed to investigate the antiviral properties of the coating. NaCl and NaCl-Tween 20 increased the pressure drop in the range of 40-50 Pa for a loading of 5 mg/cm. Tween 20 has shown an impact on the pressure drop as low as 10 Pa and made the filter surface more hydrophilic which kept the virus droplets on the surface. The NaCl-Tween 20 coated samples could inactivate 10 plaque forming units (PFU) of virus in two hours of incubation. Tween 20 coated filters with loading as low as 0.2 mg/cm reduced the activity of 10 PFU of virus from 10 to 10 PFU/mL after 2 h of incubation. NaCl-coated samples with a salt loading of 15 mg/cm could not have antiviral properties higher than reducing the viral activity from 10 to 10 PFU/mL in 4 h of incubation.
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http://dx.doi.org/10.1038/s41598-022-15203-9 | DOI Listing |
J Clin Med
January 2025
Department of Ophthalmology, University of Bonn, 53127 Bonn, Germany.
: The PreserFlo™ MicroShunt (PFMS) is a bleb-forming device considered to be less invasive than traditional glaucoma surgery such as trabeculectomy. This study evaluates the 1-year success rates as well as safety profile of PFMS in patients having high intraocular pressure (IOP) and/or glaucoma refractory to drop therapy with a history of prior intravitreal dexamethasone therapy. : A total of 16 eyes after PFMS implantation due to elevated IOP after intravitreal dexamethasone implant (DEX-I) administration were included in this retrospective cohort study.
View Article and Find Full Text PDFBiomolecules
January 2025
Milwaukee Institute for Drug Discovery, University of Wisconsin-Milwaukee, 2000 E Kenwood Blvd, Milwaukee, WI 53211, USA.
Myalgic Encephalomyelitis or Chronic Fatigue Syndrome (ME/CFS) is a chronic multisystem disease characterized by severe muscle fatigue, pain, dizziness, and brain fog. The two most common symptoms are post-exertional malaise (PEM) and orthostatic intolerance (OI). ME/CFS patients with OI (ME+OI) suffer from dizziness or faintness due to a sudden drop in blood pressure while maintaining an upright posture.
View Article and Find Full Text PDFHeliyon
January 2025
Department of Chemical Engineering, Quchan Branch, Islamic Azad University, Quchan, Iran.
An interface can be delicately designed using interactions between nanoparticles and surfactants by controlling surface properties such as activity and charge equilibrium. This study seeks to provide insights into how surfactant concentration impacts the stability and dynamics of nanoparticle-surfactant interfaces, with potential applications in material science and interface engineering. This study investigates the interactions between Graphene Function (Gr, Graphene function in this text refers to functionalizing the graphene sheets with -COOH groups via acidic reactions.
View Article and Find Full Text PDFBMC Pediatr
January 2025
Department of Cardiology, Children's Hospital of Soochow University, Suzhou, Jiangsu, China.
Background: Hypertension has shown a trend of prevalence at younger ages, and the non-dipping pattern is associated with target organ damage in hypertension. However, few studies have yet investigated the clinical characteristics and risk factors of non-dipper status in essential hypertension children. This study aimed to explore the clinical characteristics and possible indicators associated with non-dipper status in children with essential hypertension.
View Article and Find Full Text PDFSci Rep
January 2025
School of Oil & Natural Gas Engineering, Southwest Petroleum University, Chengdu, 610500, Sichuan, China.
As a necessary part of intelligent control of a joint station, the automatic identification of abnormal conditions and automatic adjustment of operation schemes need to judge the running state of the system. In this paper, a combination of Particle Swarm Optimization (PSO) and Gray Wolf Optimizer (GWO) is proposed to optimize the Backpropagation Neural Network (BP) model (PSO-GWO-BP) and a pressure drop prediction model for the joint station export system is established using PSO-GWO-BP. Compared with the traditional hydraulic calculation modified (THCM) models and other machine learning algorithms, the PSO-GWO-BP model has significant advantages in prediction accuracy.
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