Search arXivSearch

arXiv · 2007.09280

Efficient Facemask Sterilization via Forced Ozone Convection

Abstract

During the beginning of 2020, the Covid-19 pandemic took the world by surprise, rapidly spreading undetected between and within many countries and wreaking havoc on the global economy both through death tolls and lockdowns. Healthcare professionals treating the coronavirus patients grapple with a massive and unprecedented shortage of Facepiece Respirators (FPRs) and other personal protective equipment (PPE), which act as fundamental tools to protect the health of the medical staff treating the patients affected by the coronavirus. While many FPRs are designed to be disposable single-use devices, the development of sterilization strategies is necessary to circumvent future shortages. Here, we describe the development of a plasma-based method to sterilize PPE such as FPRs with ozone. The novel design uses a flow-through configuration where ozone directly flows through the fibers of the PPE through the maintenance of a pressure gradient. Canonical ozone-based methods place the mask into a sealed ozone-containing enclosure but lack pressurization to permeate the mask fibers. In this device, ozone is created through an atmospheric pressure Dielectric Barrier Discharge (DBD) fed with compressed air. Due to limited supply and clinical need of FPRs, we demonstrated sterilization with surgical masks. We demonstrate rapid sterilization using E. coli as a model pathogen. A flow-through configuration enables a >400% improvement of the sterilization efficiency with respect to the canonical approach. This method has potential for a broad and cost-effective utilization. Using the power supply from a readily available plasma ball toy, a plastic box, a glass tube, steel mesh, and 3D printed components, we designed and tested an extremely affordable portable prototype system for rapid single mask sterilization which produced comparable results to its large high-cost equivalent.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Joseph Schwan, Troy R. Alva, Giorgio Nava, Carla Berrospe Rodriguez, Justin W. Chartron, Joshua Morgan, Lorenzo Mangolini. 2020-07-17. Efficient Facemask Sterilization via Forced Ozone Convection. https://arxiv.org/abs/2007.09280

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Fail-closed conformal multiresolution error control for conservative three-dimensional dose remapping in synthetic phantoms

Conservative dose remapping can be formulated by transporting mass and deposited energy across nonmatching grids, but fixed high-sampling calculations use the same work for easy and difficult cases. We developed conformal multiresolution error control (CoMERC), a fail-closed multilevel quasi-Monte Carlo (QMC) controller for reference-relative target-cell allocation error in a fixed piecewise-constant source model with known deformation. Two randomized nested replicates were evaluated at a probe level of 4 and candidate levels of 8 and 16. Four endpoints were controlled jointly: reference-mass-weighted global, high-gradient, and density-gradient-threshold root-mean-square error, plus eligible-cell maximum absolute error. A split-conformal multiplier was calibrated from 240 synthetic cases, frozen, and evaluated on 400 independent cases from the same generator and 120 cases from a prespecified shifted generator. In the primary set, joint coverage was 394/400 (98.50%; one-sided 95% lower limit, 97.06%), 388/400 cases (97.00%; lower limit, 95.18%) received an output, and 0/388 released outputs exceeded any tolerance (one-sided 95% upper limit, 0.769%). Final actions were level 8 for 190 cases, level 16 for 198, and ABSTAIN for 12. The frozen policy implied mean relative production-sample work of 0.5844 compared with always running both randomized replicates through level 16; the prespecified 95th-percentile bootstrap upper limit was 0.6194. All seven primary gates passed. In the shifted-generator set, 113/120 cases were released and one released output exceeded a tolerance. CoMERC provided marginal finite-sample error control and lower modeled production-sample work in the locked synthetic population, but not patient-level, registration-level, conditional-on-release, or clinical safety validation.

physics.med-ph

Dosimetric equivalence of deep learning prostate contours after LDR brachytherapy: pre-declared margins, patient-level acceptance thresholds and the incremental predictive value of DVH indices

Background and purpose: Dose Volume Histogram (DVH) indices remain the main dose-effect metrics for toxicity prediction, but they depend on how contours were made. Inter-observer variability (IOV) is unavoidable and clinically accepted, so the question for automatic segmentation addresses equivalence: do automatic contours produce DVH errors comparable to human IOV, and can these indices predict patient-reported toxicity? Materials and methods: In 429 patients treated with iodine-125 LDR-BT monotherapy, indices from expert manual delineation were compared with a deterministic and a Bayesian nnUNet on a fixed dose distribution, by two-one-sided tests against margins set from CT contouring IOV. Logistic regression gave patient-level thresholds at 90\,\% probability of equivalence. In 380 patients, eleven DHV indices were added to a clinical baseline predicting change in International Prostate Symptom Score (IPSS) at six horizons over 5 years, with nested cross-validation, bootstrap intervals and corrected $t$-tests. Results: All cohort-level comparisons of DVH indices were declared equivalent, with no interval consuming more than 44\,\% of its equivalence margin. Individual agreement was weaker with equivalence rates from 55.9\,\% to 89.7\,\%, depending on the DVH index and automatic segmentation model. Thresholds ranged from 0.864 to 0.958 Dice. No DVH block improved IPSS prediction at any horizon. The largest improvement declared by bootstrap intervals was 0.12 IPSS points, well below the minimal clinically important difference, across all learners. Conclusion: Automatic contours matched expert dosimetry within human IOV on average, but individual equivalence requires a volume dependent quality metric threshold definition. Our DVH indices panel provides no significant predictive power for IPSS, irrespective of segmentation source and horizon.

physics.med-ph

The Electrodynamic Basis of Dichroism-Mediated Polarization Perception

Humans see the polarization of light through entoptic percepts arising from the macula's Henle fiber layer, where xanthophyll pigments absorb preferentially across the radiating fibers. From the layer's complex dielectric tensor alone, Maxwell's equations in Berreman $4\times4$ form yield its Mueller matrix, set by four scalars $\{A,B,C,D\}$. Its intensity channel depends only on the dichroic pair $A$ and $B$, which fix the percepts at a maximum contrast $|B|/A\approx0.05$. One relation generates the whole dichroism-mediated family: Haidinger's brushes under a uniform field, their dark arms perpendicular to the $\mathbf{E}$-vector; fractured brushes under spatially varying fields; and $N$-fold brushes under vector-vortex illumination.

physics.med-ph