Elsevier

Water Research

Volume 172, 1 April 2020, 115496
Water Research

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

https://doi.org/10.1016/j.watres.2020.115496Get rights and content

Highlights

  • The experimental setup mimics human exposure to Legionella aerosols.

  • The experimental setup can be adapted to different shower-like systems.

  • After a 1-min shower with 3.4 × 104 Legionella cells/L, 22 Legionella cells may reach the pulmonary region.

Abstract

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 non-cultivable 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.

Introduction

Members of the genus Legionella (Gram negative bacilli) are ubiquitous in natural and anthropogenic aquatic ecosystems. These bacteria are responsible for severe pneumonia, which may be fatal in 30% of cases when considering nosocomial infections. L. pneumophila is, by far, the most frequent species associated with Legionnaires’ disease (LD). Legionella is now the number one cause of reported waterborne disease in the United States. The latest epidemiological data showed an increase in LD worldwide (Centers for Disease Control and Prevention, 2018; InVS, 2018) with the identification of new sources of contamination by Legionella aerosol dispersion (i.e., car washing stations (Baldovin et al., 2018), street cleaning trucks (Valero et al., 2017), aerosols from biologic wastewater treatment plants (Loenenbach et al., 2018), reclaimed water used for spray irrigation (Pepper and Gerba, 2018), etc.). To assess the risk of infection of LD, researchers have used the quantitative microbial risk assessment (QMRA) method to provide models for aerosol dispersion (Thomas W. Armstrong and Haas, 2007; T. W. Armstrong and Haas, 2007; Buse et al., 2012; Hamilton and Haas, 2016; Schoen and Ashbolt, 2011). However, these risk models are only based (i) on the fluidic characteristics of water systems that could generate bioaerosols and (ii) on the infectious doses extrapolated to humans from animal experiments using inhalation, intraperitoneal injections or tracheal instillation for infection of the animal model.

In previous works, we used a medical nebulization device to generate Legionella aerosols. Thus, we extensively characterized the bioaerosols produced by a vibrating-mesh nebulizer in terms of aerodynamic features and airborne Legionella emitted dose (Allegra et al., 2016). We also experimentally assessed the deposition of these bacteria in the pulmonary region using a 3D replica of the upper airways (Pourchez et al., 2017) and using an ex vivo ventilated porcine lung as an innovative human-like respiratory model (Perinel et al., 2018). We showed that the developed experimental setup can be used to mimic bacterial inhalation by an anatomical model of the respiratory tract to assess the Legionella dose reaching the thoracic region for a given bioaerosol source. Therefore, an interesting further step would consist of demonstrating that nebulizers can be used to satisfactorily mimic bioaerosol exposure during showering events. Indeed, if cooling towers are the most significant sources of Legionella outbreaks at a community level, spa pools and showers from public facilities are the most significant sources of Legionella nosocomial outbreaks (K. A. Hamilton et al., 2018).

For this purpose, we compared (in terms of aerodynamic size distribution and bacteria concentration) two different technologies of bioaerosol generation: a vibrating-mesh nebulization system and a jet nebulizer. The jet nebulizer has been in continuous development since medicinal aerosol delivery started in the 19th century. Today, the majority of jet nebulizers are inexpensive devices operated via compressed gas. The gas passes through a small aperture in the nebulizer to collect and atomize the liquid. The aerosol generated by atomization contains large and small droplets and is driven to a baffle. Large droplets are impacted by the baffle, while small droplets are transported out of the nebulizer. In contrast, the vibrating-mesh nebulization system is a recent technology for aerosol generation using an annular piezo element to produce mesh vibration to push the liquid through the mesh. Holes in the mesh have a conical structure, with the largest cross-section of the cone in contact with the liquid. The mesh deforms into the liquid side, thus pumping and loading the holes with liquid. This deformation on the other side of the liquid-drug reservoir ejects droplets through the holes. We hypothesize that with these two technologies, our experimental setup will be able to reproduce many different shower-like systems on the market place.

For adaptation of our previous model to showering facilities, the original replica of the human upper airways (El Merhie et al., 2015; Leclerc et al., 2014) was placed in an experimental sealed enclosure mimicking a shower cubicle and connected to a filter mimicking the thoracic region (Perinel et al., 2018; Pourchez et al., 2017). A respiratory pump was used to fit the breathing parameters corresponding to adult male physiology at rest: breathing rate of 15 breaths per minute and tidal volume of 500 mL (Gradon and Marijnissen, 2003; NF EN 13544-1, 2002). The results obtained using this experimental setup were compared with the MMAD and the emitted dose of bioaerosols collected by the Coriolis® Delta air sampler in the lab’s shower that is routinely used by the staff. The lab shower will be our reference in this work and hereafter referred to the “real” shower.

Section snippets

Description of the “real” shower experiments used as a reference

The shower analysed in this study is located on the ground floor of the building of the Center for Health Engineering of Mines Saint-Etienne (CIS, Saint-Etienne, France). This shower is regularly used by the academic staff and postgraduate students at lunchtime after sporting activities.

Three independent experiments were carried out. The concentration of bacteria in the water network was determined by sampling 1 L of water from the first flow and 1 L during a 30-min showering event respectively

Quantification of the exposure to airborne bacteria during 1 min in the shower as a reference

The technical features of the “real” shower are presented in Fig. 2. As determined by qPCR, the total bacteria concentration in the water network was 3.3 ± 1.0 × 104 bacteria.L−1. Assuming that the aerosols are evenly distributed in the shower space, when extrapolating the numbers, we found that the mean number of bacteria collected per minute by the Coriolis® Delta air sampler was 8.6 ± 3.2 × 102. As the shower cubicle has a volume of 1.125 m3, the Coriolis® system (300 L min−1) can collect

Discussion

QMRA provides a very useful methodology to manage the risk of infections by foodborne or some waterborne pathogens with simple cases of contamination. Legionella is currently a well-documented human waterborne pathogen, but as shown by Bentham and Whiley (Bentham and Whiley, 2018; Whiley et al., 2014), persistent and indeterminable uncertainties remain regarding Legionella epidemiology, frequency of exposure, aerosol characterization (quantity, size, content of Legionella), strain infectivity,

Conclusion

  • Viable and cultivable aerosolized Legionella bacilli were detected as early as the 262 nm cut-off diameter of DLPI, confirming that Legionella bacilli are approximately 1–2 μm long and 0.3–0.9 μm wide and can reach the deep lung.

  • The Legionella physiological states were not modified by the nebulization process or by its transportation through the 12-stage DLPI or the anatomical model.

  • After a 1-min shower (used as a reference in this study), contaminated by 3 × 104 Legionella cells/L, 22 viable

Funding information

This study was supported by a grant from Jean Monnet University, France.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments

We would like to thank: (i) Dr. C. Ginevra from the French Reference Center for Legionella for providing us with the GFP-modified strain. (ii) M. Landraud, P. Bourrassaud, A. Moravia, Z. Reynes, M. Pareux and M. Escot for the validation of the model during their internships and (iii) the teaching laboratory of Technical University Institute of Saint-Etienne for providing the environmental bacteria strains. Finally, we would like to dedicate this paper to the memory of Serge Riffard.

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