Engineering of Materials for Respiratory Protection: Salt-Coated Antimicrobial Fabrics for Their Application in Respiratory Devices
Bibliographic record
Abstract
ConspectusThe development of a highly effective, low-cost method for protection against direct transmission through infectious media associated with respiratory diseases has been considered to be a major challenge in the management of the pandemic outbreak. Currently, filtration in respirators and masks depends on the mesh size, raising safety concerns about direct contact with the virus-laden layers of masks and respirators during use and disposal. Also, conventional medical face masks and respirators are recommended for single use only because long-term use and reuse of masks increase the risk of contact transmission of pathogens. As a result, mask reusability has gained much attention in addressing the global problem of respirator and mask shortages during the COVID-19 pandemic. Furthermore, coinfection by influenza, SARS-CoV-2, and bacteria has been an ongoing issue in the current COVID-19 pandemic. In our response to the increasing demand for more convenient forms of disease control, our group has investigated antimicrobial technologies for respiratory devices against pandemic/epidemic diseases and developed two universal antimicrobial coating technologies: (1) nonwashable, reusable salt-coated fabrics and (2) washable, photopolymerizable polymer-coated fabrics which efficiently inactivate infectious viruses by contact with the filter. This is an opportune time to assess research efforts toward antimicrobial face mask technology for its expected impact on society and the economy.In this Account, we introduce the importance of respiratory devices for protection against respiratory diseases, decontamination methods, technical challenges for reuse and extended use, antimicrobial substances used in masks, antimicrobial functionalization strategies for mask fibers, and the characterization of antimicrobial performance and the limitations of the current procedure. Then, the major focus will be directed to discussing the continued efforts of our group to develop antimicrobial fabrics for face mask covers and face masks/respirators based on salt-coated polypropylene (PP) fibers. In the following sections of this Account, we will first discuss salt coating methods and pathogen inactivation mechanisms in salt-coated filters. Then, an overview of our recent progress in evaluating the antimicrobial performance of salt-coated PP fabrics against five different bacterial species, influenza viruses, and human coronaviruses will be presented. The technical challenges in the implementation of the technology will be highlighted in the last section. We believe that easy-to-implement antimicrobial respiratory devices would guarantee improved protection without decontamination processes and enable rapid responses to future pandemic/epidemic outbreaks.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".