Face masks play a critical role in reducing the transmission risk of COVID-19 and other respiratory diseases. Masks made with nanofibers have drawn increasingly more attention because of their higher filtration efficiency, better comfort, and lower pressure drop. However, the interactions and consequences of the nanofibers and microwater droplets remain unclear. In this work, the evolution of fibers made of polymers with different contact angles, diameters, and mesh sizes under water aerosol exposure is systematically visualized. The images show that capillarity is very strong compared with the elasticity of the nanofiber. The nanofibers coalesce irreversibly during the droplet capture stage as well as the subsequent liquid evaporation stage. The fiber coalescence significantly reduces the effective fiber length for capturing aerosols. The nanofiber mesh that undergoes multiple droplet capture/evaporation cycles exhibits a fiber coalescing fraction of 40%-58%. The hydrophobic and orthogonally woven fibers can reduce the capillary forces and decrease the fiber coalescing fraction. This finding is expected to assist the proper design, fabrication, and use of face masks with nanofibers. It also provides direct visual evidence on the necessity to replace face masks frequently, especially in cold environments.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8450899PMC
http://dx.doi.org/10.1063/5.0061847DOI Listing

Publication Analysis

Top Keywords

face masks
12
water aerosol
8
nanofiber mesh
8
masks nanofibers
8
fiber coalescing
8
coalescing fraction
8
visualization interaction
4
interaction water
4
aerosol nanofiber
4
mesh face
4

Similar Publications

Cellulose nanostructures obtained from lignocellulosic biomass via enzymatic processes may offer advantages in terms of material properties and processing sustainability. Thus, in this study, cellulose nanoparticles with a spherical morphology were produced through the enzymatic hydrolysis of cashew apple bagasse (CAB). CAB was previously subjected to alkaline and acid-alkali pretreatment, and the pretreated solids were labeled as CAB-PTA and CAB-PT-HA, respectively.

View Article and Find Full Text PDF

MEFA-Net: A mask enhanced feature aggregation network for polyp segmentation.

Comput Biol Med

December 2024

Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, College of Computer and Data Science, Fuzhou University, Fuzhou 350116, China; Engineering Research Center of Big Data Intelligence, Ministry of Education, Fuzhou 350116, China. Electronic address:

Accurate polyp segmentation is crucial for early diagnosis and treatment of colorectal cancer. This is a challenging task for three main reasons: (i) the problem of model overfitting and weak generalization due to the multi-center distribution of data; (ii) the problem of interclass ambiguity caused by motion blur and overexposure to endoscopic light; and (iii) the problem of intraclass inconsistency caused by the variety of morphologies and sizes of the same type of polyps. To address these challenges, we propose a new high-precision polyp segmentation framework, MEFA-Net, which consists of three modules, including the plug-and-play Mask Enhancement Module (MEG), Separable Path Attention Enhancement Module (SPAE), and Dynamic Global Attention Pool Module (DGAP).

View Article and Find Full Text PDF

Aims: This study aims to investigate the impact of challenge-hindrance stressors on novice nurses' safety behaviour, the mediating effect of regulatory focus, and the moderating effect of workplace spirituality.

Background: The relationship between challenge-hindrance stressors and novice nurses' safety behaviour has rarely been investigated, despite the global concern for patient safety in healthcare systems. Previous research suggests that regulatory focus and workplace spirituality matter for nurse safety behaviour, but the relationship between them remains unclear.

View Article and Find Full Text PDF

Highly Pathogenic Avian Influenza A(H5N1) Virus Infections in Humans.

N Engl J Med

December 2024

From the Influenza Division, Centers for Disease Control and Prevention, Atlanta (S.G., K.R., A.C., K.K., C.T.D., M.K.K., S. Ellington, A.M.M., A.B., J.R.B., M.B., M.A.J., M.R.-C., E.B., T.T.S., T.M.U., V.G.D., C.R., S.J.O.); California Department of Public Health, Richmond (E.L.M., S.Z., V.K., D.A.W.); the Epidemic Intelligence Service, Centers for Disease Control and Prevention, Atlanta (S.Z., C.D.); Colorado Department of Public Health and Environment, Denver (C.D., A.K., M.O.); Mid-Michigan District Health Department, Stanton (J.M.); Michigan Department of Health and Human Services, Lansing (S. Eckel); Missouri Department of Health and Senior Services, Jefferson City (J.G., G.T.); Benton-Franklin Health District, Kennewick, WA (S.K.); Washington State Department of Health, Tumwater (A.U.); and Texas Department of State Health Services, Austin (E.R.G., C.A.H.).

Background: Highly pathogenic avian influenza A(H5N1) viruses have caused widespread infections in dairy cows and poultry in the United States, with sporadic human cases. We describe characteristics of human A(H5N1) cases identified from March through October 2024 in the United States.

Methods: We analyzed data from persons with laboratory-confirmed A(H5N1) virus infection using a standardized case-report form linked to laboratory results from the Centers for Disease Control and Prevention influenza A/H5 subtyping kit.

View Article and Find Full Text PDF

Background: Sustainable Development Goal (SDG) Indicator 5.6.2 is the "Number of countries with laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information, and education.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!