Evaluation of exposure to Brevundimonas diminuta and Pseudomonas aeruginosa during showering

Chattopadhyay, Sandip; Perkins, Sarah D.; Shaw, Matthew; Nichols, Tonya

doi:10.1016/j.jaerosci.2017.08.008

Cited by 13 publications

(8 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our study shows similarities and complementarities with 2 other recent studies from Chattopadhyay et al (Chattopadhyay et al, 2017) and Estrada-Perez et al (Estrada-Perez et al, 2018) in term of aerosol samplers, Gram-negative bacillus targets, and detection methods. Table 4 shows that the concentrations of Legionella aerosols generated by the vibrating-mesh nebulizer (8.9 x 10 3 CFU.m 3 ) or by the jet nebulizer (1.4 x 10 3 CFU.m 3 .min -1 ) in our experimental setup effectively mimic an emitted dose of shower bacteria.…”

Section: Discussionsupporting

confidence: 79%

“…Regarding aerosol dispersion (quantity, size), the discrepancy between the results from the different studies is due to the different methods and apparatuses used to measure the air bacteria concentration and to numerous other factors, such as ambient humidity, type of shower stall, design of the showerhead, water temperature, piping materials, human occupants or bacterial communities and biofilm development. Several publications (Chattopadhyay et al, 2017;Cowen and Ollison, 2006;Estrada-Perez et al, 2018;O'Toole et al, 2009;Perkins et al, 2009;Zhou et al, 2007) have shown that (i) a shower with the low-flow showerhead generates a significantly higher number of aerosols than a high-flow shower. (ii) A hot shower (approximately 40°C) increases the rate of evaporation; therefore, the number of small particles within the breathable range is increased, and the culturability of cells is decreased with the turn off to the VBNC state, as shown for Pseudomonas and Legionella.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

A valuable experimental setup to model exposure to Legionella’s aerosols generated by shower-like systems

et al. 2020

View full text Add to dashboard Cite

The mechanism underlying Legionella aerosolization and entry into the respiratory tract remains poorly documented. In previous studies, we characterized the aerodynamic behaviour of Legionella aerosols and assessed their regional deposition within the respiratory tract using a human-like anatomical model. The aim of this study was to assess whether this experimental setup could mimic the exposure to bioaerosols generated by showers. To achieve this objective we performed experiments to measure the mass median aerodynamic diameter (MMAD) as well as the emitted dose and the physiological state of the airborne bacteria generated by a shower and two nebulizers (vibrating-mesh and jet nebulizers). The MMADs of the dispersed bioaerosols were characterized using a 12-stage cascade low-pressure impactor. The amount of dispersed airborne bacteria from a shower was quantified using a Coriolis® Delta air sampler and compared to the airborne bacteria reaching the thoracic region in the experimental setup. The physiological state and concentration of airborne Legionella were assessed by qPCR for total cells, culture for viable and cultivable Legionella (VC), and flow cytometry for viable but noncultivable Legionella (VBNC). In summary, the experimental setup developed appears to mimic the bioaerosol emission of a shower in terms of aerodynamic size distribution. Compared to the specific case of a shower used as a reference in this study, the experimental setup developed underestimates by 2 times (when the jet nebulizer is used) or overestimates by 43 times (when the vibrating-mesh nebulizer is used) the total emitted dose of airborne bacteria. To our knowledge, this report is the first showing that an experimental model mimics so closely an exposure to Legionella aerosols produced by showers to assess human lung deposition and infection in well-controlled and safe conditions.

show abstract

Section: Discussionsupporting

confidence: 79%

Section: Discussionmentioning

confidence: 99%

A valuable experimental setup to model exposure to Legionella’s aerosols generated by shower-like systems

et al. 2020

View full text Add to dashboard Cite

show abstract

“…We assumed a PC wa of 10 −4 - 10 −5 L m −3 based on the analyzed concentrations of SARS-CoV-2 RNA in air samples of WWTP to the predicted concentration in wastewater. Estimated PC wa was one order of magnitude greater than values recommended for estimating bacterial transfer, in particular legionella , from air-to-water ( Bauer et al., 2002 ; Chattopadhyay et al., 2017 ). However, the estimation of bioaerosol concentrations generated in WWTPs exhibits very high uncertainty for microbial pathogens ( USEPA, 2011 ).…”

Section: Resultsmentioning

confidence: 65%

“…However, the estimation of bioaerosol concentrations generated in WWTPs exhibits very high uncertainty for microbial pathogens ( USEPA, 2011 ). Type and surface properties of pathogenic microorganisms and wastewater quality could affect the water-to-air partitioning coefficient of pathogens ( Chattopadhyay et al., 2017 ). On the other hand, bioaerosolized viral particles may considerably dilute by air currents or inactivated by environmental factors.…”

Section: Resultsmentioning

confidence: 99%

COVID-19 infection risk from exposure to aerosols of wastewater treatment plants

et al. 2021

View full text Add to dashboard Cite

“…Red dashed line: Spheres follow true0S=62/3π1/3V2/3. ( E ) S vs V for 49 different bacterial species (Sato, 2000; Trachtenberg, 2004; Pelling et al, 2005; Wright et al, 2015; Deforet et al, 2015; Desmarais et al, 2015; Harris and Theriot, 2016; Ojkic et al, 2016; Quach et al, 2016; Carabetta et al, 2016; Chattopadhyay et al, 2017; Lopez-Garrido et al, 2018; Gray et al, 2019), and one rod-shaped Archaea ( H. volcanii ) (Supplementary file 2). Rod-shaped cells lie on S=2⁢π⁢V2/3 line, above the line are Spirochete and below the line are coccoid.…”

Section: Resultsmentioning

confidence: 99%

Surface-to-volume scaling and aspect ratio preservation in rod-shaped bacteria

Ojkic

Serbanescu

Banerjee

2019

eLife

130

View full text Add to dashboard Cite

Rod-shaped bacterial cells can readily adapt their lengths and widths in response to environmental changes. While many recent studies have focused on the mechanisms underlying bacterial cell size control, it remains largely unknown how the coupling between cell length and width results in robust control of rod-like bacterial shapes. In this study we uncover a conserved surface-to-volume scaling relation in Escherichia coli and other rod-shaped bacteria, resulting from the preservation of cell aspect ratio. To explain the mechanistic origin of aspect-ratio control, we propose a quantitative model for the coupling between bacterial cell elongation and the accumulation of an essential division protein, FtsZ. This model reveals a mechanism for why bacterial aspect ratio is independent of cell size and growth conditions, and predicts cell morphological changes in response to nutrient perturbations, antibiotics, MreB or FtsZ depletion, in quantitative agreement with experimental data.

show abstract

Evaluation of exposure to Brevundimonas diminuta and Pseudomonas aeruginosa during showering

Cited by 13 publications

References 44 publications

A valuable experimental setup to model exposure to Legionella’s aerosols generated by shower-like systems

A valuable experimental setup to model exposure to Legionella’s aerosols generated by shower-like systems

COVID-19 infection risk from exposure to aerosols of wastewater treatment plants

Surface-to-volume scaling and aspect ratio preservation in rod-shaped bacteria

Contact Info

Product

Resources

About