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Sarles SE, Hensel EC, Nuss C, Terry J, Robinson R. Characterization of mass distribution in a biomimetic aerosol exposure system. Inhal Toxicol 2024:1-10. [PMID: 38669189 DOI: 10.1080/08958378.2024.2341995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 04/06/2024] [Indexed: 04/28/2024]
Abstract
OBJECTIVE Lack of biomimicry in geometry and flow conditions of emissions systems for analytical testing and biological exposure has led to fundamental limitations, including a poor understanding of dose delivered to specific airway locations. This work characterizes mass distribution of a JUUL® brand e-cigarette in a Biomimetic Aerosol Exposure System (BAES). MATERIALS AND METHODS A combination of mass balance, direct measurements, and inferences based on direct measurements were used to characterize regional and local dose as a function of system flow path configuration and emissions topography profile. RESULTS Doses produced by the emissions topography profile with only puffing were significantly different from profiles with clean air inhalation following puffs. Mass characterization results support that dose can be manipulated using flow path geometry. Local and regional deposition was mapped throughout the system. DISCUSSION AND CONCLUSIONS We estimate the fraction of yield to the mouth deposited at several locations throughout the system for a variety of puffing and respiration topographies and show that emissions topography profile and system flow path geometry affect dose. This work provides proof-of-concept for assessing mass distribution as a function of aerosol generator (e-cigarette product), user airway geometry, and inhalation and puffing topography.
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Affiliation(s)
- S Emma Sarles
- Biomedical and Chemical Engineering PhD Program, Rochester Institute of Technology, Rochester, NY, USA
- Department of Mechanical Engineering, Rochester Institute of Technology, Rochester, NY, USA
| | - Edward C Hensel
- Department of Mechanical Engineering, Rochester Institute of Technology, Rochester, NY, USA
| | - Caleb Nuss
- Department of Biomedical Engineering, Rochester Institute of Technology, Rochester, NY, USA
| | - Janessa Terry
- Department of Biomedical Engineering, Rochester Institute of Technology, Rochester, NY, USA
| | - Risa Robinson
- Department of Mechanical Engineering, Rochester Institute of Technology, Rochester, NY, USA
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Ghumra D, Shetty N, McBrearty KR, Puthussery JV, Sumlin BJ, Gardiner WD, Doherty BM, Magrecki JP, Brody DL, Esparza TJ, O’Halloran JA, Presti RM, Bricker TL, Boon ACM, Yuede CM, Cirrito JR, Chakrabarty RK. Rapid Direct Detection of SARS-CoV-2 Aerosols in Exhaled Breath at the Point of Care. ACS Sens 2023; 8:3023-3031. [PMID: 37498298 PMCID: PMC10463275 DOI: 10.1021/acssensors.3c00512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 07/12/2023] [Indexed: 07/28/2023]
Abstract
Airborne transmission via virus-laden aerosols is a dominant route for the transmission of respiratory diseases, including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Direct, non-invasive screening of respiratory virus aerosols in patients has been a long-standing technical challenge. Here, we introduce a point-of-care testing platform that directly detects SARS-CoV-2 aerosols in as little as two exhaled breaths of patients and provides results in under 60 s. It integrates a hand-held breath aerosol collector and a llama-derived, SARS-CoV-2 spike-protein specific nanobody bound to an ultrasensitive micro-immunoelectrode biosensor, which detects the oxidation of tyrosine amino acids present in SARS-CoV-2 viral particles. Laboratory and clinical trial results were within 20% of those obtained using standard testing methods. Importantly, the electrochemical biosensor directly detects the virus itself, as opposed to a surrogate or signature of the virus, and is sensitive to as little as 10 viral particles in a sample. Our platform holds the potential to be adapted for multiplexed detection of different respiratory viruses. It provides a rapid and non-invasive alternative to conventional viral diagnostics.
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Affiliation(s)
- Dishit
P. Ghumra
- Center
for Aerosol Science and Engineering, Department of Energy, Environmental
and Chemical Engineering, Washington University
in St. Louis, St. Louis, Missouri 63130, United States
| | - Nishit Shetty
- Center
for Aerosol Science and Engineering, Department of Energy, Environmental
and Chemical Engineering, Washington University
in St. Louis, St. Louis, Missouri 63130, United States
| | - Kevin R. McBrearty
- Department
of Neurology, Hope Center for Neurological Disease, Knight Alzheimer’s
Disease Research Center, Washington University, St. Louis, Missouri 63110, United States
| | - Joseph V. Puthussery
- Center
for Aerosol Science and Engineering, Department of Energy, Environmental
and Chemical Engineering, Washington University
in St. Louis, St. Louis, Missouri 63130, United States
| | - Benjamin J. Sumlin
- Center
for Aerosol Science and Engineering, Department of Energy, Environmental
and Chemical Engineering, Washington University
in St. Louis, St. Louis, Missouri 63130, United States
| | - Woodrow D. Gardiner
- Department
of Neurology, Hope Center for Neurological Disease, Knight Alzheimer’s
Disease Research Center, Washington University, St. Louis, Missouri 63110, United States
| | - Brookelyn M. Doherty
- Department
of Neurology, Hope Center for Neurological Disease, Knight Alzheimer’s
Disease Research Center, Washington University, St. Louis, Missouri 63110, United States
| | - Jordan P. Magrecki
- Department
of Neurology, Hope Center for Neurological Disease, Knight Alzheimer’s
Disease Research Center, Washington University, St. Louis, Missouri 63110, United States
| | - David L. Brody
- National
Institute of Neurological Disorders and Stroke, Bethesda, Maryland 20892, United States
- Department
of Neurology, Uniformed Services University
of the Health Sciences, Bethesda, Maryland 20814, United States
| | - Thomas J. Esparza
- National
Institute of Neurological Disorders and Stroke, Bethesda, Maryland 20892, United States
| | - Jane A. O’Halloran
- Department
of Medicine, Washington University, St. Louis, Missouri 63110, United States
| | - Rachel M. Presti
- Department
of Medicine, Washington University, St. Louis, Missouri 63110, United States
| | - Traci L. Bricker
- Department
of Medicine, Washington University, St. Louis, Missouri 63110, United States
- Departments
Molecular Microbiology, and Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri 63110, United States
| | - Adrianus C. M. Boon
- Department
of Medicine, Washington University, St. Louis, Missouri 63110, United States
- Departments
Molecular Microbiology, and Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri 63110, United States
| | - Carla M. Yuede
- Department
of Psychiatry, Washington University School
of Medicine, Campus Box
8134, 660 South Euclid Avenue, St. Louis, Missouri 63110, United States
| | - John R. Cirrito
- Department
of Neurology, Hope Center for Neurological Disease, Knight Alzheimer’s
Disease Research Center, Washington University, St. Louis, Missouri 63110, United States
| | - Rajan K. Chakrabarty
- Center
for Aerosol Science and Engineering, Department of Energy, Environmental
and Chemical Engineering, Washington University
in St. Louis, St. Louis, Missouri 63130, United States
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Buesser B, Gröhn A, Pratsinis S. Sintering Rate and Mechanism of TiO 2 Nanoparticles by Molecular Dynamics. J Phys Chem C Nanomater Interfaces 2011; 115:11030-11035. [PMID: 23730400 PMCID: PMC3667479 DOI: 10.1021/jp2032302] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Titania is the dominant white pigment and photocatalytic material, a key component of sunscreens and has promising applications in photovoltaics and sensors of organic vapors. The growth of TiO2 nanoparticles by sintering, the critical step during their large scale manufacture and processing, is elucidated and quantified by molecular dynamics. Highly mobile ions from the particle surface fill in the initially concave space between nanoparticles (surface diffusion) forming the final, fully-coalesced, spherical-like particle with minimal displacement of inner Ti and O ions (grain boundary diffusion) revealing also the significance and sequence of these two sintering mechanisms of TiO2. A sintering rate for TiO2 nanoparticles is extracted that is much faster than that in the literature but nicely converges to it for increasing particle size.
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