Abstract
Bioaerosols consist of airborne particles of biological origin. They play an important role in our environment and may cause negative health effects. The presence of biological aerosol is typically determined using active samplers. While passive bioaerosol samplers are used much less frequently in bioaerosol investigations, they offer certain advantages, such as simple design, low cost, and long sampling duration. This review discusses different types of passive bioaerosol samplers, including their collection mechanisms, advantages and disadvantages, applicability in different sampling environments, and available sample elution and analysis methods. Most passive samplers are based on gravitational settling and electrostatic capture mechanism or their combination. We discuss the agar settle plate, dustfall collector, Personal Aeroallergen Sampler (PAAS), and settling filters among the gravity-based samplers. The described electrostatics-based samplers include electrostatic dust cloths (EDC) and Rutgers Electrostatic Passive Sampler (REPS). In addition, the review also discusses passive opportunity samplers using preexisting airflow, such as filters in HVAC systems. Overall, passive bioaerosol sampling technologies are inexpensive, easy to operate, and can continuously sample for days and even weeks which is not easily accomplished by active sampling devices. Although passive sampling devices are usually treated as qualitative tools, they still provide information about bioaerosol presence and diversity, especially over longer time scales. Overall, this review suggests that the use of passive bioaerosol samplers alongside active collection devices can aid researchers in developing a more comprehensive understanding of biological presence and dynamics, especially over extended time scales and multiple locations.
Keywords: Bioaerosol sampler, passive sampling, gravitational settling, electrostatic forces, opportunity sampling
1. Introduction
Bioaerosols, or biological aerosols, consist of airborne particulate matter of biological origin and include bacteria, fungi, archaea, viruses, pollen, and their fragments and byproducts such as endotoxins, mycotoxins, DNA, and others (Baron et al., 2011; Cox & Wathes, 1995; Ghosh et al., 2015; Lindsley et al., 2017). There is an increasing awareness of the importance of airborne microbiota, including its role in causing negative health effects, importance in cloud formation and atmospheric processes, and its existence and function in the airborne environment as an ecological niche (Smets et al., 2016). Furthermore, human exposure to bioaerosols is of concern because of their ability to cause or exacerbate asthma, allergies, toxicity, cardiovascular problems, and other negative health effects (Cox & Wathes, 1995). The SARS-CoV-2 virus is arguably the best-known current example of an infectious bioaerosol due to the transmission of COVID-19 via airborne exposure route (Baboli et al., 2021; Delikhoon et al., 2021; Liu et al., 2020; Morawska & Cao, 2020; Passos et al., 2021; Samet et al., 2021). Therefore, there is a need to sample and analyze bioaerosols in order to understand their presence in various environments and their impact on human health.
There are numerous methods and devices to sample bioaerosols, and they can be classified into two primary categories: passive and active methods and samplers (Ghosh et al., 2015; Hinds, 1999; Mainelis, 2019; Wight, 1994). Active samplers utilize a pump or other air mover to draw air at a certain flow rate and deposit particles onto the chosen collection medium. In addition, pre-conditioning steps in the air streams of active samplers can also be utilized to select particles of a certain size or grow particles hygroscopically (Hinds, 1999; Wight, 1994). Since the collected air volume is known, active samplers allow quantitative bioaerosol determination (Hinds, 1999; Yates et al., 2016). On the other hand, passive samplers do not utilize pumps or air movers to collect samples but rely on gravity, electrostatic forces, their combination, or other natural phenomena to deposit particles on a collection medium. Some commonly referenced active bioaerosol samplers include the Andersen Cascade Impactor (Thermo Fisher Scientific, Franklin, MA), the National Institute of Occupational Safety and Health (NIOSH) cyclone sampler (Tisch Environmental, Cleves, OH), the SKC Biosampler (SKC, Inc., Eighty Four, PA), the Coriolis μ air sampler (Bertin Technologies, Montigny-le-Bretonneux, France), and the Institute of Medicine (IOM) sampler (SKC, Inc.). A brief comparison of general differences between passive and active bioaerosol samplers is provided in Table 1.
Table 1.
Feature | Passive Samplers | Active Samplers |
---|---|---|
Known flow rate | No (work is ongoing to establish an equivalent flowrate) | Yes |
Known sample volume | No | Yes |
Airborne concentration determination | Estimate only | Yes |
Sampling duration | Hours to weeks | Minutes to weeks |
Primary collection mechanisms | Gravitational settling, electrostatic forces, diffusion, turbulent dispersion, opportunity-based sampling | Filtration, impaction, impingement, cyclonic forces, electrostatic forces |
Power requirements | None | Pump and electrostatic components, if ESP is used |
Weight | Lightweight and portable | Heavier due to addition of sampling media (e.g., agar) and a pump |
Operator attention requirements | Deployment and retrieval | Deployment and retrieval, flowrate determination and maintenance, media replenishment for liquidbased samplers, possible replacement of collection media |
Cost | Sampler | Sampler, pump, power supply |
Passive sampling has long been a staple in gas sampling, including for personal and environmental monitoring (Namieśnik et al., 2005). Since gasses have known diffusion rates, passive gas samplers yield quantitative data. On the other hand, passive airborne particle samplers, including passive bioaerosol samplers, are typically considered qualitative measurement tools because the collected air volume is unknown, and particle flux by diffusion is relatively weak and varies depending on particles size. That prevents determining the bioaerosol concentration as only the captured bioaerosol quantity is determined but not air volume. At the same time, since bioaerosol behavior and transport are affected by electrostatic forces, thermal gradients, and turbulent dispersion (Baron et al., 2011; Cox & Wathes, 1995), these phenomena can be utilized as opportunities to enhance particle capture. Turbulent dispersion is the random motion of unstable or turbulent air flow, which may impact particle behavior and is a major factor in dry deposition (Cox & Wathes, 1995; Farmer et al., 2021). Despite the mentioned differences, both active and passive devices can be used in bioaerosol projects and investigations, either separately or together, depending on a project’s specific needs.
Long-term sampling using active devices can be more expensive and labor-intensive than passive sampling (Therkorn, Thomas, Scheinbeim, et al., 2017). Active samplers require attention by trained operators, e.g., to measure the sampling flow rate before and after sampling or to ensure adherence to the set sampling flow rate. Also, compared with passive devices, active samplers generally require a more frequent replacement of collection media to prevent losses through evaporation and desiccation of media, reduction in sample viability, and sampler overloading (Haig et al., 2016; Hinds, 1999). Active samplers also require access to a power source such as an electrical outlet or battery, creating constraints for long-term sampling activities, especially in remote areas. Active samplers can also be noisy and heavy due to the operation of the air mover. Furthermore, the high impaction and impingement velocities in many active samplers can cause stress to sampled microorganisms, which could reduce their viability and culturability, especially for sensitive species (Dungan, 2010; Haig et al., 2016). This can produce a sample bias favoring hardier microorganisms and under detection of sensitive species when analyzing samples for viability and culturability.
By contrast, passive samplers provide a less stressful means of particle capture because bioaerosols are collected by natural phenomena, such as gravity, naturally-present electrostatic forces, or turbulent dispersion. The electrostatic collection mechanism in passive samplers does not involve particle charging via corona or similar means, thereby avoiding the potentially negative effects of ozone production. Since there are minimal power and personnel requirement, passive bioaerosol samplers can be used for long-term sampling and help elucidate temporal bioaerosol community trends, which may not be as easily described by short-term active sampling procedures. Passive bioaerosol samplers can also provide an affordable way to achieve massively distributed simultaneous sampling to identify spatial variability within an environment. When applied alongside active samplers, passive bioaerosol tools can complement and provide additional data that would not be feasible by active means alone.
Given the increased interest in bioaerosol sampling and the potential of passive samplers as a complementary tool in bioaerosol investigations, this paper aims to provide an overview of the available passive bioaerosol sampling techniques, including their advantages, limitations, and methods of sample analysis. A description of the methodology of this review is included in the Supplemental Material.
2. Passive Bioaerosol Sampling Methods
Passive sampler concepts described in the literature are listed in Table 2. Such samplers could be primarily categorized by their collection mechanism, namely gravitational settling, electrostatic attraction, or their combination. Although dust accumulation is not a passive sampler in a strict sense, researchers have also used it as a quick and inexpensive surrogate for estimating previously suspended particles (Cox et al., 2017; Emerson et al., 2015; Würtz et al., 2005). In addition, we will discuss a few sampling methods that do not contain a power source or an air mover but instead utilize existing air streams to collect an airborne sample. As such, they could also be considered passive samplers.
Table 2.
Sampler | Description and References | Advantages | Limitations |
---|---|---|---|
Gravity-based Samplers | |||
Agar Settle Plates | 100mm agar media plates are left in the sampling environment for up to 4 hours to capture settling organisms (Markel et al., 2018; Sandle, 2015). | Settle plates offer a low-cost and quick method of analysis of culturable organisms. This method has been frequently cited in the literature. | Limited sampling duration due to desiccation of the media. Determines only the culturable bioaerosol fraction. |
Settling Filters | It can include any type of filter used for bioaerosol or general particulate matter sampling (Johnston et al., 1978; Näsman et al., 1999). | Affordable, long-term sampling. Filters are commonly available in aerosol sampling labs or are easily obtained. | No consistent sampling protocols or list of materials. Sampler needs to be secured to prevent filter warping or disturbance from the wind. |
Einstein-Lioy Sampler | The Einstein-Lioy Sampler allows sampling on up to four filters simultaneously in a filter holder while minimizing filter disturbance by wind or other elements (Einstein et al., 2012). | Secures 37mm filter samplers (with an exposed 25mm diameter) for convenient long term-sampling using the preferred filter material of choice. | Although it has been reported for passive sampling for particulate matter studies, this device has not been reported for bioaerosol measurement. |
Dustfall collector or Petri dish | The dustfall collector allows sample collection in a box or sterile Petri dish (Adams, Tian, et al., 2015; Noss et al., 2010; Würtz et al., 2005). | Sterile container and timeline for dust samples. A more versatile alternative to agar plates. | It may require multiple swabs to gather all dust from the sampler. |
Durham-type Passive Spore Trap | The Durham trap protects prepared slides for long-term outdoor sampling in different field conditions (Durham, 1946; Serrano-Silva & Calderón-Ezquerro, 2018). | Secures prepared slide samplers for convenient long-term sampling for microscopic analysis. | The sampler was designed specifically for slide analysis by microscopy, limiting analysis methods. |
Gravity-based Samplers | |||
Remote Airborne Microbial Passive (RAMP) Sampler | The RAMP system is designed for sampling onto gel-coated square Petri dishes for bioaerosol at altitudes with a balloon (Spring et al., 2018). | Lightweight design allows for high-altitude sample collection. | Due to design considerations, no reference sampler was included in testing as a comparison. |
Personal Aeroallergen Sampler (PAAS) | The PAAS is designed as a personal sampler to be worn around the neck near a person’s breathing zone to capture an individual’s personal exposure (Yamamoto et al., 2006; Yamamoto et al., 2011). | A passive personal sampler to directly measure personal exposures. | Low sensitivity at low bioaerosol concentrations. Similar to all gravity-based samplers, particle sizes under 5 pm are undersampled. |
Electrostatic Collection | |||
Electrostatic Dustfall Collectors (EDCs) | Utilizes electrostatic materials to aid in the collection. Commercially available as Swiffer® or Pledge® Grab-It™ (Böhlandt et al., 2016; Cox et al., 2017; Cozen et al., 2008; Brita Kilburg-Basnyat et al., 2016; Kristono et al., 2018; Madsen et al., 2012; Noss et al., 2008; Viegas et al., 2018). | Sampled bioaerosol can be determined using a large suite of analysis methods. In addition, electrostatic properties may aid in attracting smaller particles than gravity alone. | Difficult to elute particles from the collection material. May lose charge over time. |
Rutgers Electrostatic Passive Sampler (REPS) | Permanently polarized PVDF film is wound into a 3D printed film holder to create an electrostatic field between layers to capture bioaerosol particles (Metaxatos et al., 2022; Therkorn, Thomas, Calderón, et al., 2017; Therkorn, Thomas, Scheinbeim, et al., 2017). | The electrostatic attraction may aid in capturing more particles than gravity alone. Convenient transport and elution in standard sterile conical centrifuge tubes. | Currently requires sample into a large volume of liquid (35 mL), which increases the detection limit. |
Special Cases: Passive Opportunity Samplers Using Existing Air Streams | |||
Nasal Air Sampler (NAS) | The sampler is clipped into the nasal passage and uses nasal breathing to capture particles onto an adhesive surface (Graham et al., 2000). | Allows direct measurement of inhalation exposures. | Does not measure exposures due to mouth breathing. |
HVAC or Other Existing Air Filters | Use of existing filtration systems to collect bioaerosol samples (Ackelsberg et al., 2011; Bonetta et al., 2010; Goyal et al., 2011; Noris et al., 2011; Stanley et al., 2008). | Airflow and air volume are known or can be determined. | Information on sample age depends on the accuracy of maintenance records. Unmaintained HVAC systems can be a source of microorganisms, which can impose sample bias. |
Infectious Aerosol Capture Mask (IACM) | Modified oxygen delivery mask with an attached filter cartridge that can be attached to a hospital vacuum outlet. The IACM is used to minimize aerosol spread by COVID-19 patients and measure exhaled SARS-CoV-2 aerosols from infected persons (Santarpia et al., 2021). | The mask has been demonstrated as a tool for both minimizing the spread of infectious bioaerosol and measurement of aerosols generated by infected individuals. | Information is limited to source strength post-exposure and disease development. |
ISS Passive Aerosol Sampler | Developed for sampling particulate matter present on the International Space Station (ISS) by placing device over the ventilation system intake. The sampler included five aluminum blocks with double-sided carbon tape as the collection medium. (Haines et al., 2019; Meyer, 2017, 2018). | This sampler was designed to be compact and allow secure transport to and from the ISS. This device utilized the forced air movement through the air intake of the ventilation system to capture particles by impaction onto the collection substrate. | Specifically designed for passive sampling applications in microgravity environments. |
Related Dust Collection Methods | |||
Vacuum, surface swabs, or wipes | A vacuum, cloth, or swab can be used to collect settled dust from surfaces, often using a template defined surface area (Adams & Dancer, 2020; Aktas et al., 2018; Cox et al., 2017; Magyar et al., 2018; Viegas et al., 2020). | Affordable, quick sampling method for historical settled particles which does not require extensive collection time. | Does not provide the age of the collected dust sample. Collection efficiency may vary between surface materials and applied wiping/swabbing pressure during collection. |
Diffusion-based nonpolar compound sampler | |||
Fresh Air Clip | Uses a polydimethylsiloxane (PDMS) pad to capture nonpolar compounds such as lipid enveloped virus particles (Angel et al., 2022; Lin et al., 2020). | Demonstrated ability to capture measurable quantities of viral particles in chamber and field tests. | Currently, there is limited knowledge about its applications to different bioaerosol types. |
2.1. Passive samplers based on gravitational settling
Gravitational settling is the most commonly used method to passively collect airborne particulate matter, including bioaerosols, onto a collection medium for analysis. Passive sampling tools that utilize gravitational settling, such as settle plates or filters, collect predominantly larger particles (>5 μm) due to their high settling velocities (Cox & Wathes, 1995; Therkorn, Thomas, Calderón, et al., 2017; Yates et al., 2016). Such particles may include microorganisms attached to airborne particles or microorganism agglomerates (Lighthart, 1997; Mainelis, 2019; Stetzenbach et al., 2004). Therefore, the settling method might under-sample smaller particles (<5 μm) that have lower settling velocities, such as free bacteria and viruses. However, Brownian motion is also strong for <100 nm biological particles (e.g., free viruses), which could contribute to the capture of nano-sized bioaerosols, such as free viruses or microorganism fragments and byproducts (Cox & Wathes, 1995; Verreault et al., 2008).
Perhaps the earliest report on the existence of bioaerosols (e.g., microorganisms in the air) and demonstration of passive bioaerosol sampling was Louis Pasteur’s famous swan-neck flask experiments (Lee, 2011; Pasteur, 1862) even though it was not the original intent of the experiment. Dr. Pasteur intended to disprove spontaneous generation as the cause of putrefaction. He used curved or swan-necked flasks with heat-sterilized nutrient broth that acted as passive samplers to collect and detect airborne bacteria. Dr. Pasteur used two sets of flasks: one as designed, i.e., with the “swan-neck” intact and allowing the air, but not particles, to enter the flask; and the second flask, where the curved neck was removed, and airborne material was allowed to settle into the flask. Since the intact “swan-neck” flask did not allow airborne particles to settle onto the nutrient broth, the liquid was protected from the bacteria and their subsequent growth; on the other hand, bacterial growth was observed in the second group, where airborne particles were allowed to settle into the growth medium (Lee, 2011). With this experiment, Dr. Pasteur not only disproved spontaneous generation as the cause of putrefaction but also demonstrated the presence of bacteria in the air and the use of gravitational settling to capture them.
Agar settle plates are commonly used to measure culturable bioaerosols in different environments (Haig et al., 2016; Mainelis, 2019; Rautemaa et al., 2006; Rocha-Melongo et al., 2019; Sandle, 2015). This method collects bioaerosols directly onto an agar medium via settling and, once the plates are incubated, enables the growth of culturable microorganisms directly on the collection medium. Direct sampling onto culture media eliminates the need for post-sampling processing. The plates are then incubated for several days to allow the formation of colonies (e.g., Colony Forming Units [CFU]) for detection and counting of captured microorganisms. However, only the cells that grow on the used medium and specific incubation conditions will form colonies and be counted. Therefore, applying culture-only sampling techniques does not represent viable but not culturable (VNBC) or total bioaerosol particles in the sample (Lindsley et al., 2017). The needed incubation time and selective growth also apply to active sampling methods that use culture-based methods for sample analysis. Furthermore, the agar medium desiccates over time, limiting sampling time with agar settle plates to four hours or less (Sandle, 2015). This maximum time is recommended by both the United States Food and Drug Association and the European Union (Center for Drug Evaluation Research et al., 2004; European Union, 2008). Despite these limitations, the agar settle plates are often used in operating rooms, clean rooms, meat processing facilities, drug manufacturing, spacecraft assembly, and other sensitive environments, where there is a need for a simple marker of biological air contamination (Adams & Dancer, 2020; Asefa et al., 2009; Haig et al., 2016; Pasquarella et al., 2019; Pasquarella et al., 2012).
Filters also are a relatively simple and readily available medium for passive collection of bioaerosols (Haig et al., 2016; Näsman et al., 1999; Therkorn, Thomas, Scheinbeim, et al., 2017). Filters can be placed on a surface and exposed to open air in a selected environment. However, one limitation of filters is that their light weight can allow the filters to bow, thus reducing the collection surface. Therefore, the filters used for passive sampling should also be secured to prevent their disturbance or even loss due to air currents. The Einstein-Lioy Sampler allowing for passive collection of airborne particles onto up to four secured filters is one such design (Einstein et al., 2012). Although this sampler has not been reported to be used for bioaerosol sampling, the device has been demonstrated to work for other particulate matter, and it can be easily adapted for bioaerosol applications.
Filters used in passive sampling are of the same type and materials as used in active sampling, namely polytetrafluoroethylene (PTFE), mixed cellulose ester (MCE), or gelatin filters. The main difference is the collection mechanism: passive sampling does not use a pump to draw air through the filter medium. Instead, it relies on gravitational settling to capture biological and other particles onto the exposed filter surface. Samples from settle filters can be eluted or otherwise analyzed by similar methods as filters used in active sampling applications. Filters used in passive sampling usually collect less particle mass during sampling than filters in active sampling; however, biological particles captured on filters during active sampling are also exposed to stress from impaction and desiccation, which can reduce microorganism viability and culturability (Cox & Wathes, 1995).
The dustfall collector described by Wurtz and colleagues (2005) is a passive dust sampler utilizing an aluminum-lined box with a mesh cover. Adams and colleagues later modified this design and collected dust into an empty Petri dish (2015). Other studies have also used open Petri dish samplers for collecting bioaerosol such as pet allergen (Karlsson, Hedrén, et al., 2002; Karlsson, Renstrom, et al., 2002; Noss et al., 2010). Petri dish and dustfall collectors, similar to agar settle plates and filters, use existing supplies for convenient long-term sampling. After sampling, the accumulated dust is gathered by vacuum (Würtz et al., 2005) or swab (Adams, Tian, et al., 2015; Docherty et al., 2018; Emerson et al., 2015; Mhuireach et al., 2016; Sylvain et al., 2019) before elution into a liquid for analysis. A recent study incorporated 5 mL of liquid in the open Petri dish so that the bioaerosol settles directly into the liquid media for convenient sample analysis (Baboli et al., 2021).
The Durham Spore Trap is another gravity-based method used to collect bioaerosols outdoors, including pollen and spores [50] and bacteria (Serrano-Silva & Calderón-Ezquerro, 2018). The Durham Spore Trap collects bioaerosol samples onto adhesive or oil-coated slides suspended on support columns between two round stainless-steel plates.
The lightweight Remote Airborne Microbial Passive (RAMP) sampling system utilizes an air balloon to rise to target altitudes to sample bioaerosol for DNA sequencing (Spring et al., 2018). The sampler consists of 16 gel-coated square Petri dishes and covers housed in a sealed box that can be opened and closed remotely once the system has reached the desired sampling altitude. This sampling system has been demonstrated to sample at specific altitudes with proof of concept demonstration at 150 m (Spring et al., 2018). Here, samples were eluted from the Petri dishes using flocked swabs, and the DNA was extracted into a buffered solution for analysis by a bead-beating procedure. However, the sampler has not yet been compared to other sampler technologies.
The Personal Aeroallergen Sampler (PAAS) is a personal, passive sampler that was developed by Yamamoto and colleagues to measure individual exposures to airborne allergens, such as dust mite fecal pellets, pollen, and fungi that are part of particles >10 μm in diameter (2006). The device works similarly to other gravity-based passive samplers by collecting samples primarily through settling. PAAS is designed to be worn around the neck with the sample substrate in a person’s breathing zone (Yamamoto et al., 2012; Yamamoto et al., 2006; Yamamoto et al., 2011). However, the device reportedly works less effectively in areas of low particle concentration (<103 particles/m3), especially when the particle aerodynamic diameter is less than 5 μm (Yamamoto et al., 2011). This finding is similar to the common limitations when gravitational settling is used as a primary collection mechanism.
Each of the gravity-based passive samplers discussed above collects bioaerosol particles by allowing them to settle onto the collection substrate. However, this method usually requires long sampling times to accumulate enough biological material for analysis and preferentially samples larger particles.
2.2. Passive samplers based on electrostatic forces
Some passive bioaerosol samplers also utilize electrostatic attraction to collect electrostatically charged airborne particulate matter in addition to their capture by gravitational settling. This mechanism has been incorporated into passive samplers relatively recently. Because freshly aerosolized particles, including bioaerosols, carry an electrostatic charge (Cox & Wathes, 1995; Delort & Amato, 2017; Therkorn, Thomas, Calderón, et al., 2017; Yao & Mainelis, 2006), passive devices that utilize electrostatic collection in addition to gravitational settling may have an advantage over passive samplers that utilize gravitational settling only in terms of captured biological material amount. Examples of this approach are the Electrostatic Dustfall collector (EDC) (Adams, Tian, et al., 2015; Cozen et al., 2008; Madsen et al., 2019; Madsen et al., 2012; Noss et al., 2008; Viegas et al., 2018) and the Rutgers Electrostatic Passive Sampler (REPS) (Therkorn, Thomas, Calderón, et al., 2017; Therkorn, Thomas, Scheinbeim, et al., 2017). These devices use charged or polarized materials to create electrostatic fields that attract bioaerosols carrying a static charge. They also collect particles by gravitational settling, just like traditional gravity-based passive samplers.
Electrostatic dust cloths used in EDCs are made from electret fibers (Brita Kilburg-Basnyat et al., 2016). These materials are commonly available as household products for brands, such as Swiffer®, Lysol®, and Pledge® (Adams, Tian, et al., 2015; Kristono et al., 2018). The EDC was first described by Noss et al. as a “low-cost electrostatic dustfall collector,” which utilized four EDC cloth pieces mounted onto a polypropylene folder for indoor sampling (Brita Kilburg-Basnyat et al., 2016; 2008).
REPS uses a permanently polarized poly(vinylidene) fluoride (PVDF) film (Therkorn, Thomas, Calderón, et al., 2017) as its collection substrate. The PVDF material is uniaxially oriented during manufacturing, achieving permanent orientation of internal electrical dipoles. This orientation is maintained until the material’s Curie temperature (167 ˚C) is exceeded (Therkorn, Thomas, Calderón, et al., 2017). (The Curie temperature is the temperature at which a material loses its ferroelectric properties and becomes paraelectric (Schneider & Kirschner, 2000).) REPS is constructed by winding the PVDF film into a film holder in a spiral configuration causing the film sides with opposite polarization to face each other, thus creating an electrostatic field between them. The overlapping PVDF film layers are positioned 2.25 mm apart, which was an optimal distance to capture particles by electrostatic attraction (Therkorn, Thomas, Calderón, et al., 2017). The sampler was demonstrated to have an equivalent sampling flow rate (defined below) of 2.6 L/min for culturable bacteria in an outdoor field study, which is similar to several active personal samplers (Therkorn, Thomas, Scheinbeim, et al., 2017). Since REPS is designed for typical indoor and outdoor sampling, with temperatures much lower than 167 °C, it will maintain its electrostatic collection mechanism. Even the hottest air temperature ever recorded, 58.0 °C in 1922 in El Azizia, Libya (Mildrexler et al., 2006), is substantially below the film’s Curie temperature.
2.3. Dust: proxy measures of bioaerosol
The dust accumulated in indoor environments is often used as a convenient proxy to examine the bioaerosol presence in the past. For example, dust samples could be collected using surface wipes, swabs, vacuum sampling, and other means (Adams, Tian, et al., 2015; Ghosh et al., 2015; Noris et al., 2011; Würtz et al., 2005). These devices often utilize a template to sample a predetermined surface area.
Surface wipes or swabs and vacuum samples offer a convenient means of collecting household dust for analysis (Brooks et al., 2018; Cozen et al., 2008; Noss et al., 2008; Park et al., 2011). The use of dust samples enables rapid, one-time collection of samples. This can reduce the length and number of visits to collect enough material and space required to deploy active samplers. However, the efficiency of collecting particles onto wipes or swabs is operator-dependent because of the difference in applied pressure and wiping patterns. Thus, adherence to the sampling protocol and wiping the entire predetermined surface area is also important. The use of vacuum cleaners offers the ability to collect dust samples not only from the hard surfaces but also from the carpeted areas. (Cozen et al., 2008; Noss et al., 2008).
These dust collection approaches are an indirect method of sampling bioaerosols indoors. They provide a much quicker means of collecting a sample than conventional passive techniques; however, the age of dust is generally unknown, and it can vary across samples (even within the same room) because dust accumulation depends on human and pet activities (including cleaning) as well as surface type and building or environmental conditions (Adams et al., 2013; Bi et al., 2018). In addition, surface samples may collect not only bioaerosols from the settled dust but also the microorganisms inhabiting the surface from which the sample was taken, i.e., microorganisms from a local biofilm, thus biasing bioaerosol analysis.
2.4. Diffusion-based nonpolar compound sampler
The Fresh Air Clip is a passive personal sampler originally designed to sample volatile organic compounds (VOCs) (Lin et al., 2020), but it was recently adapted for sampling the SARS-CoV-2 aerosols (Angel et al., 2022). The Fresh Air Clip uses a polydimethylsiloxane (PDMS) sorbent material to trap airborne nonpolar compounds, such as lipid enveloped viruses that pass through the collection substrate due to diffusion (Angel et al., 2022). This sampler’s ability to capture lipid-enveloped viruses was demonstrated in a rotating drum chamber and a small field demonstration in different community settings (Angel et al., 2022). The community study detected SARS-CoV-2 RNA in a restaurant and homeless shelter but not in healthcare facilities or other community locations. However, given the recent adaptation of Fresh Air Clip technology, there is still limited knowledge about its applications or comparability to other bioaerosol samplers.
2.5. Special cases: passive opportunity samplers using existing air flows
We classified devices and approaches that utilize existing sources of air movement, such as ventilation systems, as passive opportunity samplers. Since no additional air mover is needed, such devices could be considered passive samplers. For example, filters inside Heating Ventilation and Air Conditioning (HVAC) systems have been used as bioaerosol samplers (Emerson et al., 2015; Forthomme et al., 2014; Noris et al., 2011). This method has an advantage because airflow and air volume are known or could be determined (Ackelsberg et al., 2011). In this aspect, this bioaerosol collection mechanism is closer to active bioaerosol sampling. Similarly, vehicle air cabin filters have been used for bioaerosol sampling to determine the regional presence of antibiotic resistance genes in bacteria (George et al., 2021). Furthermore, maintenance records of filters (when available) allow estimating the age of collected dust (Emerson et al., 2015). However, the HVAC ducts can also be a reservoir for microorganism growth, impacting sample results and accuracy (Hassan Al-Abdalall et al., 2020).
The Nasal Air Sampler (NAS) is a personal sampler that clips into the nasal passage and uses the nasal breathing airflow to capture particles onto an adhesive surface (Graham et al., 2000). The Nasal Air Sampler allows direct measurement of inhalation exposures but could be biased if the user breathes through the mouth. Inhalation rates can be estimated using different pulmonary function tests, respiratory sensors, and references, such as the Environmental Protection Agency’s (EPA) Exposure Factors Handbook (Fan et al., 2018; U.S. EPA, 2008, 2011). The sampler is able to capture particles of ~5 μm in size and greater with 50% efficiency (Graham et al., 2000).
The NAS has been used in inhaled allergen and fungal exposure studies alongside active personal samplers or dust samples collected by floor vacuum (Gore et al., 2015; Gore et al., 2006; Graham et al., 2000; Mitakakis et al., 2000; Poulos et al., 2002). However, the intranasal design has shown limits to its potential applications. One study reported that some child subjects could not wear the NAS device (Mitakakis et al., 2000) due to difficulty breathing. The NAS was also limited to less than two hours of sampling times for adult subjects to minimize sampler overload and subject discomfort (Gore et al., 2006; Graham et al., 2000; Mitakakis et al., 2000). While this sampler uses the active air flow due to inhalation, the inhaled volume can only be estimated based on sample duration and a person’s exertion level.
The Infectious Aerosol Capture Mask (IACM) was introduced to minimize the spread of infectious aerosol by hospitalized COVID-19 patients and applied to measure exhaled SARS-CoV-2 aerosols from infected persons (Santarpia et al., 2021). The IACM is a modified oxygen delivery mask with an attached filter cartridge that can be attached to a hospital vacuum outlet or other vacuum pump operated at 1 SCFM (standard cubic feet per minute, or 28.3 L/min). The mask has been demonstrated to minimize the spread of infectious bioaerosol and used to measure aerosols generated by infected individuals (Santarpia et al., 2021).
Another unique passive sampler was used by the National Aeronautics and Space Administration (NASA) for sampling particulate matter present on the International Space Station (ISS). Here, this passive aerosol sampler was placed over the air intake of the ventilation system (Haines et al., 2019; Meyer, 2017, 2018). The sampler consisted of five drawers, each containing an individual aluminum block with double-sided carbon tape as the collection medium. Each drawer could be independently opened or closed (Haines et al., 2019). This sampler was designed to be compact and allow secure transport to and from the ISS (Meyer, 2017). This device utilized the forced air movement through the air intake of the ventilation system to capture particles by impaction onto the collection substrate. From the ISS air, this device was able to collect particulate matter, including bacterial and fungal particles, that were later analyzed by qPCR (Haines et al., 2019)
3. Discussion
3.1. Metrics used to describe passive sampling results
The metrics used to quantify airborne bioaerosol concentrations when using active sampling methods, such as #/m3 or CFU/m3, are not directly applicable for passive samples. One alternative for passive samplers is to quantify the amount of bioaerosol that has settled per surface area per time, such as #/cm2/min (Rocha-Melogno et al., 2020) or, if using settle plates, then CFU/plate/h or CFU/m2/h could be used.
Given the numerous ways that passive settle plates are used, the Index of Microbial Air contamination (IMA) was suggested to standardize settle plate protocols. The Index recommends a common standard to measure bioaerosol presence using Petri dishes in a 1/1/1 scheme (Pasquarella et al., 2000). This scheme recommends that open Petri dishes be placed 1 meter off the ground, 1 meter away from walls or other large obstructions, and samples collected for 1 hour (Montagna et al., 2019; Napoli et al., 2012; Pasquarella et al., 2000; Pasquarella et al., 2012; Scaltriti et al., 2007; Setlhare et al., 2014). Sample concentrations are reported as CFU/plate or CFU/ (m2 or dm2 or cm2)/h. The IMA has been used to determine bioaerosol presence in operating rooms or other hospital environments, food processing, industrial plants, libraries, museums, and residences (Pasquarella et al., 2000; Pasquarella et al., 2012). Pasquarella and colleagues describe the IMA recommendations for different risk environments based on settle plates using the 1/1/1 scheme (Pasquarella et al., 2000). These recommendations included five class and index ranges, including “0–5 very good, 6–25 good, 26–50 fair, 51–75 poor, and ≥76 very poor (Pasquarella et al., 2000).” For example, the very good category (0–5) ranged from 0–9 CFU/dm2/h and was suggested for applications with very high risk, such as ultra-clean rooms or operating rooms. At the other extreme of the index, concentrations of ≥125 CFU/dm2/h were labeled very poor (IMA ≥76) and unacceptable for any areas requiring infection control or contamination.
Some researchers have used Omelianskii’s formula to estimate airborne culturable bioaerosol concentration based on observed CFU in settle plates (Awad & Mawla, 2012; Bogomolova & Kirtsideli, 2009; Borrego et al., 2010; Cernei et al., 2013; Hayleeyesus et al., 2015; IIies et al., 2018; Li et al., 2020; Viani et al., 2020):
(1) |
where N is culturable bioaerosol concentration (CFU/m3), a is number of colonies per Petri dish, b is dish area (cm2), and t is collection time (min).
The Omelianskii formula assumes that a 100 cm2 Petri dish exposed to air for 5 minutes will capture microorganisms present in 10 m3 of air via settling onto the plate’s surface (Omeli︠a︡nskiĭ, 1922, 1940). The described process is highly unlikely as it would require particles present in a 1 km tall column to settle onto the 100 cm2 Petri dish in just 5 minutes; or, in other terms, particles from 10 m3 of air must settle onto the dish in 5 minutes (2000 L /min). Even a pollen particle of 30 μm would need ~10 hours in calm conditions to settle 1 km distance. Other research has also acknowledged that the Omelianskii formula will tend to overestimate bioaerosol concentrations (Awad & Mawla, 2012; Viani et al., 2020). While the origin of this formula is uncertain, Omelianskii himself also acknowledged that active air sampling was needed for a more accurate determination of microorganisms in the air (Omeli︠a︡nskiĭ, 1922, 1940). This formula provides an interesting historical context into the timeline of bioaerosol research; however, it is obvious that it does not accurately convert the bioaerosol amount captured by a settling-based passive sampler into a corresponding airborne concentration. Therefore, the amount of bioaerosol captured by a settling-based passive sampler should be converted to airborne microorganism concentration using only the Omelianskii formula as it leads to a major overestimate of airborne concentration.
On the other hand, when an active sample is collocated with a passive sampling device, an equivalent sampling flow rate (Qeq, L/min) of the passive device could be estimated (Manibusan & Mainelis, 2021; Therkorn, Thomas, Scheinbeim, et al., 2017; Yamamoto et al., 2011):
(2) |
where Qeq = equivalent sampling flow rate (L/min), Np = bioaerosol metric determined by the passive sampler (number of particles or CFU), Ca = concentration determined by the collocated active reference sampler (number of particles/L or CFU/L), and tp = sampling time for the passive sampler (min). A passive sampler’s equivalent sampling flow rate could then be used to convert the observed bioaerosol quantity into airborne concentration. Yamamoto et al. (2011) also related Qeq to particle deposition velocities:
(3) |
where Qeq is the equivalent sampling flow rate (mL/min), A is the effective particle deposition area of a passive sampler (cm2), and Vd is the deposition velocity of a particle (cm/min). Based on Equation 3, Qeq is directly related to particle gravitational settling velocity, is a function of particle mass and size (squared) (Cox & Wathes, 1995; Yamamoto et al., 2011),
(4) |
where ρ is the particle density (g/cm3), d is particle diameter (cm), g is the gravitational acceleration (cm/s2), C is the Cunningham slip correction factor, and η is the air viscosity (g/(cm·s)). Therefore, the equivalent sampling flow rate and the efficiency of a passive sampler will be impacted by the size of the bioaerosol of concern. However, the determination of equivalent flow rate based on gravitational deposition alone does not account for additional factors such as electrostatic attraction, which aid in collecting bioaerosol in electrostatics-based passive samplers.
The use of equivalent sampling flow rates for bioaerosol samplers is a relatively new approach, and more research is needed to confirm the utility of Qeq for different passive devices. The available data also suggested that the Qeq might depend on the sampling environment and conditions (Manibusan & Mainelis, 2018, 2021; Yamamoto et al., 2011).
One study reported quantifying bioaerosol concentration using gravitational settling plates (Mainelis & Rivera, 2006). However, this study used a closed settling chamber design, which provided a known air volume from which microorganisms had settled (Mainelis & Rivera, 2006).
3.1.1. Collocated passive and active sampler studies
Collocated active and passive sampler comparisons have been conducted in previous studies. These studies have demonstrated the performance of passive samplers and identified the limitations of the devices.
Napoli and colleagues compared settle plates and a Surface Air System Sampler (SAS, International PBI, Milan, Italy) operating at 180 L/min in operating rooms. Settle plates used the IMA scheme while SAS collected 500 L air samples in 100L intervals 12 minutes apart over one hour. The analysis included culturable bacteria and fungi. The test found a strong correlation between the passive and active sampling methods. The authors indicated the benefit of passive sampling to determine likely contamination on surfaces during surgery, whereas active sampling provided information on inhalable viable particle concentrations.
The PAAS was compared alongside an IOM sampler, an active, filter-based, personal sampler (Yamamoto et al., 2006). The study collected samples ranging from 5 hours to 6 days and found a strong correlation (r = 0.69 to 0.95) between the bioaerosol collected by PAAS and IOM based on microscopy.
Another PAAS study compared the device to the NIOSH Bioaerosol Sampler (Yamamoto et al., 2011). Samples were analyzed for fungi by quantitative polymerase chain reaction (qPCR). The study also found relatively strong correlations (r= 0.48 to 0.76) between sampler concentrations, which varied by qPCR primer groups. Using a collocated active sampler allowed for direct comparison of fungal cells collected by both methods and allowed for the determination of equivalent (or effective) sampling flow rates for the PAAS. For example, PAAS sampling of Alternaria alternata resulted in an equivalent flow rate of 0.032 L/min, but Epicoccum nigrum resulted in 0.066 L/min.
EDCs have also been used in collocated studies with active samplers. One study compared endotoxin concentrations from EDCs and the active Button Aerosol Sampler (SKC, Inc.) with glass fiber filters in farm homes (B. Kilburg-Basnyat et al., 2016). EDCs were deployed over a 7-day sampling period, while collocated Button samplers were replaced every 24-hours. The study found strong correlations (r = 0.7) between the concentrations determined by the two samplers.
REPS was investigated in a 10-day outdoor field sampling campaign which also included collocated Button Aerosol Samplers, settling filters, and agar settle plates (Therkorn, Thomas, Scheinbeim, et al., 2017). The study found that REPS had equivalent sampling flow rates of 2.6 L/min for culturable bacteria when compared against the collocated Button sampler operating at 4 L/min.
These studies illustrate the versatility of passive samplers in effectively collecting different types of bioaerosol, and their equivalent sampling rate can be comparable to those of active samplers.
3.2. Considerations when using passive samplers
3.2.1. Sampling environment
Bioaerosol samples are collected in different environments, both indoors and outdoors, including homes, schools, offices, hospitals, wastewater treatment sites, agricultural areas, landfills, and other locations (Anderson et al., 2016; Brooks et al., 2018; Faridi et al., 2015; Mbareche et al., 2018; Mui et al., 2017; Pearson et al., 2015; Rendon et al., 2017). In addition, many indoor air sampling projects also include simultaneous outdoor measurements to determine the contribution of the outdoor environment to the presence of indoor airborne particles, including bioaerosols (Adams, Bhangar, et al., 2015; Adams et al., 2013; Chen & Zhao, 2011; Faridi et al., 2015). Therefore, passive bioaerosol samplers should also be useable and functional in various environments.
Agar settle plates, settling filters, and the dustfall collector have been used in indoor and outdoor environments (Adams, Tian, et al., 2015; Docherty et al., 2018; Einstein et al., 2012; Ghosh et al., 2015; Haig et al., 2016; Mhuireach et al., 2016; Näsman et al., 1999; Rendon et al., 2017; Therkorn, Thomas, Scheinbeim, et al., 2017; Würtz et al., 2005). The electrostatic dust cloths are designed for indoor sampling, and none of the referenced studies described their application in outdoor environments (Adams, Tian, et al., 2015; Kilburg-Basnyat et al., 2015; Brita Kilburg-Basnyat et al., 2016; Madsen et al., 2012; Noss et al., 2008; Viegas et al., 2018). PAAS is designed as a personal sampler to be worn in an individual’s breathing zone in various environments, including indoors and outdoors (Yamamoto et al., 2006; Yamamoto et al., 2015; Yamamoto et al., 2010; Yamamoto et al., 2011). REPS has been operated in outdoor and indoor environments and in a controlled experimental chamber (Manibusan & Mainelis, 2021; Metaxatos et al., 2022; Therkorn, Thomas, Calderón, et al., 2017; Therkorn, Thomas, Scheinbeim, et al., 2017). The RAMP system has been specifically designed for outdoor, high-altitude sampling using a balloon as a carrying system and, therefore, is not applicable for indoor sampling (Spring et al., 2018).
Overall, most passive samplers can be used in both indoor and outdoor environments. However, when sampling outdoors, similarly to active samplers, passive samplers should be adequately shielded from the elements and/or secured to minimize disturbance from wind and precipitation.
3.2.2. Sampling duration
Sampling duration is an especially important consideration for passive samplers because they usually require longer sampling times than active samplers to collect enough material needed to determine bioaerosols. At the same time, the longer sampling times also offer a potential opportunity to gain information about long-term bioaerosol presence and trends. In many cases, the needed sampling time is a “guestimate” as the air volume from which the microorganisms are captured cannot be determined with certainty (Adams, Tian, et al., 2015; Haig et al., 2016; Würtz et al., 2005). At the same time, agar settle plates cannot be deployed for extended periods due to the desiccation of the medium (Therkorn, Thomas, Scheinbeim, et al., 2017). NAS has been reported to collect a sufficient sample quantity for analysis during 10 to 20 minutes of sampling (Graham et al., 2000). EDCs are recommended to sample no longer than 14 days as the EDC materials have been demonstrated to lose their charge and thereby collect with less efficiency over extended sampling durations (Brita Kilburg-Basnyat et al., 2016). REPS has been demonstrated to collect culturable samples for up to 21 days in indoor and outdoor settings (Manibusan & Mainelis, 2021). It was used for 6–10 days to capture airborne biological material outdoors for microorganism diversity study (Metaxatos et al., 2022). Surface dust samples can be readily and rapidly collected; however, the sample age is often unknown (Würtz et al., 2005). Similar challenges occur when using HVAC or cabin filters of unknown filter age. On the other hand, the dustfall collector provides an option to collect settled dust with known sample age and has been used to collect for several weeks and even up to 140 days (Adams, Tian, et al., 2015; Würtz et al., 2005).
3.2.3. Physical collection efficiency
As previously discussed, when gravitational settling is used as the primary collection mechanism, it preferentially samples particles larger than 5 μm in diameter (Ghosh et al., 2015; Therkorn, Thomas, Scheinbeim, et al., 2017). As such, gravity-based samplers may undersample smaller particle fractions. Electrostatic attraction aids in collecting smaller particles, such as free bacteria and viruses, which would be underrepresented by gravity-based collection means alone (Miksch et al., 2009). Thus, the use of electrostatic attraction in passive samplers might therefore improve physical collection efficiency overall and especially for smaller particles.
The relationship between settling velocity and collection efficiency of passive samplers has been well established and modeled when sampling overall aerosol (K. Lai & Nazaroff, 2000; Wagner & Leith, 2001a, 2001b, 2001c; Wagner & Macher, 2003), but the relationship has been less thoroughly examined for bioaerosols (Yamamoto et al., 2006; Yamamoto et al., 2011). As described in section 3.1, the settling of particles onto a collection surface is largely determined by their deposition velocity, thus contributing to a sampling bias toward larger particles and agglomerates.
The EDC has also been demonstrated to collect less efficiently when exposed to higher temperatures which may be due to loss of charge in the electrostatic cloth (Brita Kilburg-Basnyat et al., 2016). This can reduce the benefit of electrostatic collection for EDCs when sampling outdoors during warmer months or other similar conditions. However, we have not seen any reports on how humidity can impact the collection efficiency of EDCs.
REPS has been successfully tested in an extended 10-day outdoor campaign with reported collection efficiencies higher (~29%) than that of a collocated passive PTFE filter (~4%) when compared against an active filter-based sampler (Therkorn, Thomas, Scheinbeim, et al., 2017). During this study, the mean temperature ranged from 2°C ± 4°C to 9°C ± 5°C between tests, and relative humidity ranged from 20% to 99%, illustrating a range of conditions when REPS could effectively perform (Therkorn, Thomas, Scheinbeim, et al., 2017). The REPS sampler was also demonstrated to successfully sample culturable airborne bacteria and fungi for different durations, up to 21 days, indoors and outdoors in Fall and Spring (Manibusan & Mainelis, 2021).
3.2.4. Bioefficiency
In general, a bioaerosol sampler’s physical collection efficiency, i.e., its ability to capture particles, is determined by its design and operating conditions but could also be affected by environmental parameters and conditions, such as humidity and wind speed (Cox & Wathes, 1995). However, bioaerosol sampling also requires the consideration of bioefficiency. Bioefficiency, or biological sampling efficiency, pertains to a sampler’s ability to maintain the collected sample’s culturability, viability, biological integrity, or other properties allowing its determination, quantification, and identification (Haig et al., 2016; Yates et al., 2016). Active sampling methods are known to impose stress on microorganisms through impaction, impingement, or desiccation during sampling(Haig et al., 2016). These stressors are not present in passive sampling devices, thus improving the preservation of viability and culturability of samples (Haig et al., 2016; Mainelis et al., 2002; Mbareche et al., 2018; Näsman et al., 1999). Therefore, one can argue that bioaerosol samples obtained by passive collection methods better represent the culturable or viable bioaerosol state due to lower sampling stress. Based on results from REPS, comparison of different sample durations for as long as 21 days, CFU recovery was not dependent on sample length (Manibusan & Mainelis, 2021).
3.2.5. Sample elution or other pre-processing
Sample recovery can be affected in several ways during sample collection and processing. Aside from the stress during sampling, the elution of a sample into a liquid medium and any additional sample processing should minimize the stress on microorganisms, potential contamination, and sample losses. Similarly, the elution from collection media should ideally have maximum recovery. Agar settle plates do not require additional processing before analysis for culturable bioaerosols. As with other culture-based approaches to bioaerosol analysis, agar settle plates provide a relatively simple and affordable method of determining the culturable fraction of the microorganisms in an air sample. However, as mentioned, only a fraction of viable microorganisms are also culturable, and a specific organism’s culturability will vary depending on the growth medium type, environmental conditions, and interactions with other organisms (Cox & Wathes, 1995). Many passive and active bioaerosol samplers generally require some elution procedure to prepare the sample for analysis, except liquid or agar-based samplers. Therefore, the ease and efficiency of sample elution, the ability to analyze a sample in addition to bioefficiency should be important considerations in selecting a bioaerosol sampler.
EDCs require processing using Tween detergents and multiple extractions in a stomacher or orbital shaker to efficiently remove particles for quantitative PCR (qPCR) analysis (Adams, Tian, et al., 2015; Madsen et al., 2012; Viegas et al., 2018). Despite these multiple steps, EDCs have a modest elution efficiency (51% for bacteria and 58% for fungi) (Adams, Tian, et al., 2015; Madsen et al., 2012; Therkorn, Thomas, Calderón, et al., 2017), limiting the research conclusions drawn from the analysis of EDC samples. In addition, the use of Tween detergents may reduce the cell membrane integrity of microorganisms, thus limiting the EDC sampler’s applicability for culture or other viability analysis methods (Therkorn, Thomas, Calderón, et al., 2017; Zhen et al., 2013).
REPS analysis involves the elution of particles captured on the film into the water using a combination of vortexing and sonication (Therkorn, Thomas, Calderón, et al., 2017; Therkorn, Thomas, Scheinbeim, et al., 2017). When challenged with airborne bacteria in chamber studies and by use of spiked samples, REPS was reported to have an efficient sample recovery and elution efficiency (~100% recovery of microorganisms) compared to both filters (~80%) and EDCs (~63%) (Therkorn, Thomas, Calderón, et al., 2017). However, the REPS elution protocol requires 35 mL of liquid to cover the entire assembled sampler, resulting in a dilute sample and reducing bioaerosol detection, especially in clean environments or after shorter sampling durations (Therkorn, Thomas, Scheinbeim, et al., 2017). Sample concentrators offer ways to concentrate dilute samples and could improve the detection limit of REPS samples; however, they have certain drawbacks, including sample loss and reduction in culturability (Oh et al., 2020).
Dustfall collectors can require multiple swabs to collect the settled particles from the Petri dishes for analysis; collection swabs can then be eluted into a buffer solution (Adams, Tian, et al., 2015). RAMP samples have also been processed by swabbing for DNA-based analysis similar to dustfall collectors (Spring et al., 2018).
3.2.6. The versatility of passive samplers for use with different analysis methods
Bioaerosol samples can be analyzed using multiple methodologies, including culture, adenosine triphosphate (ATP) analysis, microscopy, polymerase chain reaction (PCR), sequencing, and others. The adoption of molecular techniques for bioaerosol analysis is becoming more common because of its declining cost, speed, and expanded available techniques for next-generation sequencing technology (Ghosh et al., 2015; Mbareche et al., 2017; Mbareche et al., 2018). At the same time, the few available bioaerosol guidelines are designed based on culture-based methods (Kim et al., 2018; Lindsley et al., 2017; Mbareche et al., 2019). Therefore, there should be some consideration for both culture-based as well as non-culture analysis of bioaerosols.
Passive filter sampling can be combined with multiple analysis methods, including by their direct press onto a culture medium to grow colony forming units or by their elution into liquid, which is amenable to various analysis methods (Näsman et al., 1999; Therkorn, Thomas, Scheinbeim, et al., 2017; Xu et al., 2013). The REPS design allows its efficient transport and sample elution into liquid media (Therkorn, Thomas, Scheinbeim, et al., 2017), and its samples have been analyzed by microscopy, ATP activity, culture, and sequencing techniques (Manibusan & Mainelis, 2019, 2021; Metaxatos et al., 2022; Therkorn, Thomas, Calderón, et al., 2017; Therkorn, Thomas, Scheinbeim, et al., 2017). EDCs, Dustfall collectors, and swabs can also be eluted into liquid media for analysis by microscopy, culture, or next-generation sequencing techniques (Adams, Tian, et al., 2015; Madsen et al., 2012; Therkorn, Thomas, Calderón, et al., 2017; Therkorn, Thomas, Scheinbeim, et al., 2017; Viegas et al., 2018). Overall, most passive samplers can be eluted into a liquid media for multiple analyses; however, there is currently no uniform method for elution or analysis of bioaerosol samples. The same could be said about the elution and analysis methods for active sampling approaches.
3.2.7. Other considerations: cost, time, and sample distribution
The selection of a bioaerosol sampler and analysis methods depends on a research question. Passive bioaerosol samplers are useful for long-term sampling campaigns and provide an affordable means to measure bioaerosol concentration and potential exposures over periods as long as several weeks. There are few, if any, active samplers that could be deployed for such durations without any involvement of technical personnel during sampling. However, as already discussed, the use of passive bioaerosol samplers might be challenging during short sampling times, e.g., minutes and hours, as they usually capture less biological material than active samplers in the same environment. That should be considered when selecting a sampler and its integration into a project.
Passive samplers generally have a lower cost compared to active devices. In fact, many of them are disposable, as they utilize materials already commonly available for other bioaerosol and aerosol sampling applications (e.g., Petri dishes, filters). In addition, the absence of power supply requirements and minimal technician time during sampling further reduce overall sampling cost. These features allow for the affordable deployment of multiple passive samplers that could be spatially distributed throughout a large area to achieve a massively distributed bioaerosol sampling.
The passively collected sample, especially over an extended time, might provide a more comprehensive picture of bioaerosols in a particular environment than the short-term samples collected by active samplers. In fact, a long-term integrated sample is less affected by short-term variability in bioaerosol concentration and composition and offers a better representation of average bioaerosol concentration. Furthermore, passive samplers may better preserve microorganism culturability and viability by avoiding the stress imposed by active devices, especially for sensitive bioaerosol species, which offers another advantage of passive sampling.
3.3. Passive sampling applications for SARS-CoV-2
Passive sampling has been applied for SARS-CoV-2 sampling in different studies. As previously discussed, the IACM (Santarpia et al., 2021) and Fresh Air Clip (Angel et al., 2022) were developed or adapted in response to the COVID-19 pandemic. Other existing passive samplers have also been applied for SARS-CoV-2 sampling, such as filters (Liu et al., 2020; Passos et al., 2021), empty Petri dish (dustfall collector) (Hermesch et al., 2020), Petri dish filled with liquid media (Baboli et al., 2021), surfaces with accumulated particles (Horve et al., 2021; Nannu Shankar et al., 2022; Pan et al.; Pena et al., 2021), and HVAC filters (Pan et al.). Baboli and colleagues found lower rates of positive SARS-CoV-2 samples when using passive sampling compared to the detection rate of a collocated active glass impinger operated for 30 minutes (Baboli et al., 2021). However, Pan and others effectively used both swabs and HVAC filters to detect SARS-CoV-2 in isolation dormitories (Pan et al., 2022). In addition, Pena and colleagues argue that both active and passive samplers should be used in SARS-CoV-2 detection (Pena et al., 2021). These studies demonstrate the applicability of passive devices for SARS-CoV-2 sampling and eventual detection.
4. Conclusions
When choosing a bioaerosol sampler, one should consider multiple factors, including physical and biological efficiency, sample recovery, the bioaerosol of concern, planned analysis methods, sampling environment(s), as well as sampling duration, convenience, and cost. These decisions should tie into the overall research question, including the best and most efficient use of resources. While most projects use active bioaerosol samplers, passive sampling methodology could serve as a valuable complementary tool, especially if a long sampling duration is needed or when the project could benefit from multiple samples distributed over wide areas. Although passive samplers based on gravitational settling methods have limitations regarding the collected amount of material per time and bias toward larger particles, they have useful applications that can inform researchers of the overall bioaerosol community over extended sampling periods. In addition, passive samplers that incorporate electrostatic attraction may help overcome size fraction limitations observed in samplers that rely on gravity only. In addition, the natural phenomena used for bioaerosol collection by passive devices can minimize cell damage during the sampling process.
Although the actual volume of air sampled by passive devices is unknown, passive samplers can still indicate bioaerosol presence and microorganism types. The amount of collected material can still be reported in quantifiable terms based on the sampler’s collection area and time (e.g., #/cm2/h) or, once calibrated against active devices, as an equivalent sampling flow rate (e.g., L/min). The affordability of passive samplers also allows for the deployment of units across a study area over extended periods to determine spatial distributions of bioaerosol, which can be cost-prohibitive using a similar number of samplers and time periods with active methods alone. In summary, passive bioaerosol samplers can provide complementary information to expand our understanding of bioaerosol presence and composition in different environments. This may be particularly beneficial in determining the presence and viability of stress-sensitive species over time.
Supplementary Material
Highlights.
This review discusses different types of passive bioaerosol samplers.
Advantages, limitations, and analysis methods of passive samplers are discussed.
Quantification of passive samples is considered.
Latest developments in passive sampling, including for SARS-CoV-2 is described.
Acknowledgments:
The authors gratefully acknowledge Dr. N.T. Myers and Mr. M.M. Grogan for their reviews and suggestions.
Funding:
S. Manibusan was funded by the National Institute of Environmental Health Sciences (NIEHS) training grant number T32 ES019854 (PI: C. Weisel).
Footnotes
Declaration of interests
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.
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
References
- Ackelsberg J, Leykam FM, Hazi Y, Madsen LC, West TH, Faltesek A, Henderson GD, Henderson CL, & Leighton T. (2011). The NYC Native Air Sampling Pilot Project: Using HVAC Filter Data for Urban Biological Incident Characterization. Biosecurity and Bioterrorism: Biodefense Strategy, Practice, and Science, 9(3), 213–224. 10.1089/bsp.2010.0064 [DOI] [PubMed] [Google Scholar]
- Adams CE, & Dancer SJ (2020). Dynamic Transmission of Staphylococcus Aureus in the Intensive Care Unit. Int J Environ Res Public Health, 17(6). 10.3390/ijerph17062109 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Adams RI., Bhangar S., Pasut W., Arens EA., Taylor JW., Lindow SE., Nazaroff WW., & Bruns TD. (2015). Chamber bioaerosol study: outdoor air and human occupants as sources of indoor airborne microbes. PloS one, 10(5), e0128022. 10.1371/journal.pone.0128022 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Adams RI, Miletto M, Taylor JW, & Bruns TD (2013). Dispersal in microbes: fungi in indoor air are dominated by outdoor air and show dispersal limitation at short distances. ISME J, 7(7), 1262–1273. 10.1038/ismej.2013.28 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Adams RI, Tian Y, Taylor JW, Bruns TD, Hyvarinen A, & Taubel M. (2015). Passive dust collectors for assessing airborne microbial material. Microbiome, 3, 46. 10.1186/s40168-015-0112-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Aktas YD, Ioannou I, Altamirano H, Reeslev M, D’Ayala D, May N, & Canales M. (2018, Dec 1). Surface and passive/active air mould sampling: A testing exercise in a North London housing estate. Sci Total Environ, 643, 1631–1643. 10.1016/j.scitotenv.2018.06.311 [DOI] [PubMed] [Google Scholar]
- Anderson BD, Ma M, Xia Y, Wang T, Shu B, Lednicky JA, Ma M-J, Lu J, & Gray GC (2016). Bioaerosol Sampling in Modern Agriculture: A Novel Approach for Emerging Pathogen Surveillance? The Journal of Infectious Diseases, 214(4), 537–545. 10.1093/infdis/jiw180 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Angel DM, Gao D, DeLay K, Lin EZ, Eldred J, Arnold W, Santiago R, Redlich C, Martinello RA, Sherman JD, Peccia J, & Godri Pollitt KJ (2022). Development and Application of a Polydimethylsiloxane-Based Passive Air Sampler to Assess Personal Exposure to SARS-CoV-2. Environmental Science & Technology Letters. 10.1021/acs.estlett.1c00877 [DOI] [PubMed] [Google Scholar]
- Asefa DT, Langsrud S, Gjerde RO, Kure CF, Sidhu MS, Nesbakken T, & Skaar I. (2009). The performance of SAS-super-180 air sampler and settle plates for assessing viable fungal particles in the air of dry-cured meat production facility. Food Control, 20(11), 997–1001. 10.1016/j.foodcont.2008.11.011 [DOI] [Google Scholar]
- Awad AH, & Mawla HA (2012). Sedimentation with the Omeliansky formula as an accepted technique for quantifying airborne fungi. Polish Journal of Environmental Sciences, 21(6), 1539–1541. [Google Scholar]
- Baboli Z, Neisi N, Babaei AA, Ahmadi M, Sorooshian A, Birgani YT, & Goudarzi G. (2021). On the airborne transmission of SARS-CoV-2 and relationship with indoor conditions at a hospital. Atmospheric Environment, 261, 118563. 10.1016/j.atmosenv.2021.118563 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Baron PA, Kulkarni P, & Willeke K. (2011). Aerosol measurement principles, techniques, and applications (3rd ed.). Wiley. [Google Scholar]
- Bi C, Maestre JP, Li H, Zhang G, Givehchi R, Mahdavi A, Kinney KA, Siegel J, Horner SD, & Xu Y. (2018, Dec). Phthalates and organophosphates in settled dust and HVAC filter dust of U.S. low-income homes: Association with season, building characteristics, and childhood asthma. Environ Int, 121(Pt 1), 916–930. 10.1016/j.envint.2018.09.013 [DOI] [PubMed] [Google Scholar]
- Bogomolova E, & Kirtsideli I. (2009). Airborne fungi in four stations of the St. Petersburg Underground railway system. International Biodeterioration & Biodegradation, 63(2), 156–160. 10.1016/j.ibiod.2008.05.008 [DOI] [Google Scholar]
- Böhlandt A, Schierl R, Heizinger J, Dietrich-Gümperlein G, Zahradnik E, Bruckmaier L, Sültz J, Raulf M, & Nowak D. (2016). Cow hair allergen concentrations in dairy farms with automatic and conventional milking systems: From stable to bedroom. International Journal of Hygiene and Environmental Health, 219(1), 79–87. 10.1016/j.ijheh.2015.09.004 [DOI] [PubMed] [Google Scholar]
- Bonetta S., Bonetta S., Mosso S., Sampò S., & Carraro E. (2010). Assessment of microbiological indoor air quality in an Italian office building equipped with an HVAC system. Environmental Monitoring and Assessment, 161(1–4), 473–483. 10.1007/s10661-009-0761-8 [DOI] [PubMed] [Google Scholar]
- Borrego S, Guiamet P, Gómez De Saravia S, Batistini P, Garcia M, Lavin P, & Perdomo I. (2010). The quality of air at archives and the biodeterioration of photographs. International Biodeterioration & Biodegradation, 64(2), 139–145. 10.1016/j.ibiod.2009.12.005 [DOI] [Google Scholar]
- Brooks B, Olm MR, Firek BA, Baker R, Geller-McGrath D, Reimer SR, Soenjoyo KR, Yip JS, Dahan D, Thomas BC, Morowitz MJ, & Banfield JF (2018). The developing premature infant gut microbiome is a major factor shaping the microbiome of neonatal intensive care unit rooms. Microbiome, 6(1), 112. 10.1186/s40168-018-0493-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Center for Drug Evaluation Research, Center for Biologics Evaluation Research, & Affairs, U. S. F. D. A. O. o. R. (2004). Guidance for industry: sterile drug products produced by aseptic processing, current good manufacturing practice. U.S. Department of Health and Human Services, Food and Drug Administration, Center for Drug Evaluation and Research. https://books.google.com/books?id=XGG6AQAACAAJ [Google Scholar]
- Cernei E, Maxim DC, Mavru R, & Indrei L. (2013). Bacteriological analysis of air (aeromicroflora) from the level of dental offices in IAŞI County. Romanian Journal of Oral Rehabilitation, 5(4), 53. [Google Scholar]
- Chen C, & Zhao B. (2011). Review of relationship between indoor and outdoor particles: I/O ratio, infiltration factor and penetration factor. Atmospheric Environment, 45. 10.1016/j.atmosenv.2010.09.048 [DOI] [Google Scholar]
- Cox CS, & Wathes CM (1995). Bioaerosols handbook. CRC Press. [Google Scholar]
- Cox J, Indugula R, Vesper S, Zhu Z, Jandarov R, & Reponen T. (2017). Comparison of indoor air sampling and dust collection methods for fungal exposure assessment using quantitative PCR. Journal of Environmental Monitoring, 19(10), 1312–1319. 10.1039/c7em00257b [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cozen W, Avol E, Diaz-Sanchez D, McConnell R, Gauderman WJ, Cockburn MG, Zadnick J, Jyrala M, & Mack TM (2008). Use of an Electrostatic Dust Cloth for Self-Administered Home Allergen Collection. Twin Research and Human Genetics, 11(2), 150–155. 10.1375/twin.11.2.150 [DOI] [PubMed] [Google Scholar]
- Delikhoon M., Guzman MI., Nabizadeh R., & Norouzian Baghani A. (2021, Jan 6). Modes of Transmission of Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2) and Factors Influencing on the Airborne Transmission: A Review . Int J Environ Res Public Health, 18(2), 395. 10.3390/ijerph18020395 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Delort AM, & Amato P. (2017). Microbiology of Aerosols. Wiley. https://books.google.com/books?id=dEkzDwAAQBAJ [Google Scholar]
- Docherty KM, Pearce DS, Lemmer KM, & Hale RL (2018). Distributing regionally, distinguishing locally: examining the underlying effects of local land use on airborne bacterial biodiversity. Environmental microbiology. 10.1111/1462-2920.14307 [DOI] [PubMed] [Google Scholar]
- Dungan RS (2010). BOARD-INVITED REVIEW: Fate and transport of bioaerosols associated with livestock operations and manures. Journal of Animal Science, 88(11), 3693–3706. 10.2527/jas.2010-3094 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Durham OC (1946). The volumetric incidence of atmospheric allergens. 17(2), 79–86. 10.1016/0021-8707(46)90025-1 [DOI] [PubMed] [Google Scholar]
- Einstein SA, Yu CH, Mainelis G, Chen LC, Weisel CP, & Lioy PJ (2012, Sep). Design and validation of a passive deposition sampler [ 10.1039/C2EM30174A]. J Environ Monit, 14(9), 2411–2420. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Emerson JB, Keady PB, Brewer TE, Clements N, Morgan EE, Awerbuch J, Miller SL, & Fierer N. (2015, Mar 3). Impacts of flood damage on airborne bacteria and fungi in homes after the 2013 Colorado Front Range flood. Environ Sci Technol, 49(5), 2675–2684. 10.1021/es503845j [DOI] [PubMed] [Google Scholar]
- European Union. (2008). EudraLex: The Rules Governing Medicinal Products in the European Union Volume 4: EU Guidelines to Good Manufacturing Practice Medicinal Products for Human and Veterinary Use: Annex 1 Manufacture of Sterile Medicinal Products. https://ec.europa.eu/health/sites/health/files/files/eudralex/vol-4/2017_11_22_guidelines_gmp_for_atmps.pdf [Google Scholar]
- Fan D, Yang J, Zhang J, Lv Z, Huang H, Qi J, & Yang P. (2018). Effectively Measuring Respiratory Flow With Portable Pressure Data Using Back Propagation Neural Network. IEEE journal of translational engineering in health and medicine, 6, 1600112. 10.1109/JTEHM.2017.2688458 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Faridi S, Hassanvand MS, Naddafi K, Yunesian M, Nabizadeh R, Sowlat MH, Kashani H, Gholampour A, Niazi S, Zare A, Nazmara S, & Alimohammadi M. (2015). Indoor/outdoor relationships of bioaerosol concentrations in a retirement home and a school dormitory [journal article]. Environ Sci Pollut Res Int, 22(11), 8190–8200. 10.1007/s11356-014-3944-y [DOI] [PubMed] [Google Scholar]
- Farmer DK, Boedicker EK, & Debolt HM (2021, 2021–04-20). Dry Deposition of Atmospheric Aerosols: Approaches, Observations, and Mechanisms. Annual Review of Physical Chemistry, 72(1), 375–397. 10.1146/annurev-physchem-090519-034936 [DOI] [PubMed] [Google Scholar]
- Forthomme A, Joubert A, Andrès Y, Simon X, Duquenne P, Bemer D, & Le Coq L. (2014). Microbial aerosol filtration: Growth and release of a bacteria–fungi consortium collected by fibrous filters in different operating conditions. Journal of Aerosol Science, 72, 32–46. 10.1016/j.jaerosci.2014.02.004 [DOI] [Google Scholar]
- George P, Veillette M, Cayouette AB, Baghdadi M, Yao M, Turgeon N, Corbeil J, & Duchaine C. (2021). Tracking Antimicrobial Resistance Genes across Canada: Coast-to-Coast-to-Coast. 2021 American Association for Aerosol Research 39th Annual Conference, Virtual. [Google Scholar]
- Ghosh B, Lal H, & Srivastava A. (2015). Review of bioaerosols in indoor environment with special reference to sampling, analysis and control mechanisms. Environment International, 85, 254–272. 10.1016/j.envint.2015.09.018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gore RB, Boyle RJ, Gore C, Custovic A, Hanna H, Svensson P, & Warner JO (2015). Effect of a novel temperature-controlled laminar airflow device on personal breathing zone aeroallergen exposure. Indoor air, 25(1), 36–44. 10.1111/ina.12122 [DOI] [PubMed] [Google Scholar]
- Gore RB., Curbishley L., Truman N., Hadley E., Woodcock A., Langley SJ., & Custovic A. (2006). Intranasal air sampling in homes: Relationships among reservoir allergen concentrations and asthma severity. Journal of Allergy and Clinical Immunology, 117(3), 649–655. 10.1016/j.jaci.2005.12.1351 [DOI] [PubMed] [Google Scholar]
- Goyal SM, Anantharaman S, Ramakrishnan MA, Sajja S, Kim SW, Stanley NJ, Farnsworth JE, Kuehn TH, & Raynor PC (2011). Detection of viruses in used ventilation filters from two large public buildings. AJIC: American Journal of Infection Control, 39(7), e30–e38. 10.1016/j.ajic.2010.10.036 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Graham J, Pavlicek P, Sercombe J, Xavier M, & Tovey E. (2000). The nasal air sampler: a device for sampling inhaled aeroallergens. Annals of Allergy, Asthma & Immunology, 84(6), 599–604. 10.1016/s1081-1206(10)62410-6 [DOI] [PubMed] [Google Scholar]
- Haig CW, Mackay WG, Walker JT, & Williams C. (2016). Bioaerosol sampling: sampling mechanisms, bioefficiency and field studies. Journal of Hospital Infection, 93(3), 242–255. 10.1016/j.jhin.2016.03.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Haines S, Bope A, Horack J, Meyer M, & Dannemiller K. (2019). Quantitative evaluation of bioaerosols in different particle size fractions in dust collected on the International Space Station (ISS). Applied Microbiology Biotechnology, 103(18), 7767–7782. 10.1007/s00253-019-10053-4 [DOI] [PubMed] [Google Scholar]
- Hassan Al-Abdalall A, Abdullah Al-Dakheel S, & Abdulhadi Al-Abkari H. (2020). Impact of Air-Conditioning Filters on Microbial Growth and Indoor Air Pollution. In. IntechOpen. 10.5772/intechopen.88548 [DOI] [Google Scholar]
- Hayleeyesus SF, Ejeso A, & Derseh FA (2015). Quantitative assessment of bioaerosols contamination in indoor air of University dormitory rooms. International journal of health sciences, 9(3), 249–256. https://pubmed.ncbi.nlm.nih.gov/26609289 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4633188/ [PMC free article] [PubMed] [Google Scholar]
- Hermesch AC, Horve PF, Edelman A, Dietz L, Constant D, Fretz M, Messer WB, Martindale R, & Van Den Wymelenberg K. (2020). Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Environmental Contamination and Childbirth. Obstetrics and gynecology, 136(4), 827–829. 10.1097/AOG.0000000000004112 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hinds WC (1999). Aerosol technology: properties, behavior, and measurement of airborne particles. John Wiley & Sons. [Google Scholar]
- Horve PF., Dietz LG., Fretz M., Constant DA., Wilkes A., Townes JM., Martindale RG., Messer WB., & Van Den Wymelenberg KG. (2021). Identification of SARS‐CoV‐2 RNA in healthcare heating, ventilation, and air conditioning units. Indoor air, 31(6), 1826–1832. 10.1111/ina.12898 [DOI] [PMC free article] [PubMed] [Google Scholar]
- IIies D, Onet A, Wendt JA, Ilieş M, Timar A, Ilies A, Baias Ş, & Herman G. (2018). Study on microbial and fungal contamination of air and wooden surfaces inside of a historical Church from Romania. Journal of Environmental Biology, 39(6), 980–984. [Google Scholar]
- Johnston JR, Butchart AM, & Kgamphe SJ (1978). A comparison of sampling methods for airborne bacteria. Environmental research, 16(1), 279–284. 10.1016/0013-9351(78)90162-7 [DOI] [PubMed] [Google Scholar]
- Lai K, A. C, & Nazaroff WW (2000, 2000–04-01). Modeling Indoor Particle Deposition from Turbulent Flow onto Smooth Surfaces. Journal of Aerosol Science, 31(4), 463–476. 10.1016/s0021-8502(99)00536-4 [DOI] [Google Scholar]
- Karlsson AS, Hedrén M, Almqvist C, Larsson K, & Renström A. (2002). Evaluation of Petri dish sampling for assessment of cat allergen in airborne dust. Allergy, 57(2), 164–168. 10.1034/j.1398-9995.2002.1s3297.x [DOI] [PubMed] [Google Scholar]
- Karlsson AS, Renstrom A, Hedren M, & Larsson K. (2002). Comparison of four allergen-sampling methods in conventional and allergy prevention classrooms. Clinical & Experimental Allergy, 32(12), 1776–1781. 10.1046/j.1365-2222.2002.01553.x [DOI] [PubMed] [Google Scholar]
- Kilburg-Basnyat B, Metwali N, & Thorne PS (2015). Effect of Deployment Time on Endotoxin and Allergen Exposure Assessment Using Electrostatic Dust Collectors. The Annals of Occupational Hygiene, 59, 104. 10.1093/annhyg/meu063 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kilburg-Basnyat B, Metwali N, & Thorne PS (2016). Performance of electrostatic dust collectors (EDCs) for endotoxin assessment in homes: Effect of mailing, placement, heating, and electrostatic charge. Journal of occupational and environmental hygiene, 13(2), 85–93. 10.1080/15459624.2015.1078468 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kilburg-Basnyat B, Peters TM, Perry SS, & Thorne PS (2016). Electrostatic dust collectors compared to inhalable samplers for measuring endotoxin concentrations in farm homes. Indoor air, 26(5), 724–733. 10.1111/ina.12243 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kim KH, Kabir E, & Jahan SA (2018). Airborne bioaerosols and their impact on human health. J Environ Sci (China), 67, 23–35. 10.1016/j.jes.2017.08.027 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kristono GA, Shorter C, Pierse N, Crane J, & Siebers R. (2018). Endotoxin, cat and house dust mite allergens in electrostatic cloths and bedroom dust. Journal of occupational and environmental hygiene, 1–22. 10.1080/15459624.2018.1536827 [DOI] [PubMed] [Google Scholar]
- Lee BU (2011). Life Comes from the Air: A Short Review on Bioaerosol Control. Aerosol and Air Quality Research, 11(7), 921–927. 10.4209/aaqr.2011.06.0081 [DOI] [Google Scholar]
- Li Y, Ge Y, Wu C, Guan D, Liu J, & Wang F. (2020). Assessment of culturable airborne bacteria of indoor environments in classrooms, dormitories and dining hall at university: a case study in China. Aerobiologia. 10.1007/s10453-020-09633-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lighthart B. (1997). The ecology of bacteria in the alfresco atmosphere. FEMS microbiology ecology, 23(4), 263–274. 10.1111/j.1574-6941.1997.tb00408.x [DOI] [Google Scholar]
- Lin EZ, Esenther S, Mascelloni M, Irfan F, & Godri Pollitt KJ (2020). The Fresh Air Wristband: A Wearable Air Pollutant Sampler. Environmental Science & Technology Letters, 7(5), 308–314. 10.1021/acs.estlett.9b00800 [DOI] [Google Scholar]
- Lindsley WG., Green BJ., Blachere FM., Martin SB., Law B., Jensen P., & Schafer M. (2017). Sampling and characterization of bioaerosols. In NIOSH manual of analytical methods. 5th ed. National Institute for Occupational Safety and Health. https://www.cdc.gov/niosh/nmam/chapters.html [Google Scholar]
- Liu Y, Ning Z, Chen Y, Guo M, Liu Y, Gali NK, Sun L, Duan Y, Cai J, Westerdahl D, Liu X, Xu K, Ho KF, Kan H, Fu Q, & Lan K. (2020, Jun). Aerodynamic analysis of SARS-CoV-2 in two Wuhan hospitals. Nature, 582(7813), 557–560. 10.1038/s41586-020-2271-3 [DOI] [PubMed] [Google Scholar]
- Madsen AM, Markouch A, Frederiksen MW, & Tendal K. (2019). Measurement of dust‐borne MRSA in pig farms using different approaches. Journal of applied microbiology, 126(5), 1580–1593. 10.1111/jam.14198 [DOI] [PubMed] [Google Scholar]
- Madsen AM, Matthiesen CB, Frederiksen MW, Frederiksen M, Frankel M, Spilak M, Gunnarsen L, & Timm M. (2012). Sampling, extraction and measurement of bacteria, endotoxin, fungi and inflammatory potential of settling indoor dust [ 10.1039/C2EM30699A]. Journal of Environmental Monitoring, 14(12), 3230–3239. 10.1039/C2EM30699A [DOI] [PubMed] [Google Scholar]
- Magyar D, Kállai Z, Sipiczki M, Dobolyi C, Sebők F, Beregszászi T, Bihari Z, Kredics L, & Oros G. (2018). Survey of viable airborne fungi in wine cellars of Tokaj, Hungary. Aerobiologia, 34(2), 171–185. 10.1007/s10453-017-9505-3 [DOI] [Google Scholar]
- Mainelis G. (2019). Bioaerosol sampling: Classical approaches, advances, and perspectives. Aerosol Science and Technology, 1–24. 10.1080/02786826.2019.1671950 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mainelis G, & Rivera J. (2006). Use of Gravitational Settling for Quantitative Bioaerosol Measurement. 7th International Aerosol Conference, St. Paul, Minnesota. [Google Scholar]
- Mainelis G, Willeke K, Adhikari A, Reponen T, & Grinshpun SA (2002). Effect of electrical charges and fields on injury and viability of airborne bacteria. Aerosol Science and Technology, 36(null), 1073. 10.1002/bit.10290 [DOI] [PubMed] [Google Scholar]
- Manibusan S, & Mainelis G. (2018). Investigation of Bioaerosol Charge Levels Indoors Using the Rutgers Electrostatic Passive Sampler (REPS). 2018 International Aerosol Conference, St. Louis, MO. [Google Scholar]
- Manibusan S., & Mainelis G. (2019). Further investigation and application of passive and low-energy bioaerosol samplers. 2019 AAAR 37th Annual Conference, Portland, OR. [Google Scholar]
- Manibusan S, & Mainelis G. (2021). Effect of Sampling Duration on Bioaerosol Culturability When Using Passive Sampling Devices. AAAR Annual Conference, [Google Scholar]
- Markel TA, Gormley T, Greeley D, Ostojic J, & Wagner J. (2018). Wearing long sleeves while prepping a patient in the operating room decreases airborne contaminants. American Journal of Infection Control, 46(4), 369–374. [DOI] [PubMed] [Google Scholar]
- Mbareche H, Brisebois E, Veillette M, & Duchaine C. (2017). Bioaerosol sampling and detection methods based on molecular approaches: No pain no gain. Sci Total Environ, 599-600, 2095–2104. [DOI] [PubMed] [Google Scholar]
- Mbareche H, Morawska L, & Duchaine C. (2019). On the interpretation of bioaerosol exposure measurements and impacts on health. Journal of the Air & Waste Management Association, 69(7), 789–804. [DOI] [PubMed] [Google Scholar]
- Mbareche H, Veillette M, Bilodeau GJ, & Duchaine C. (2018). Bioaerosol Sampler Choice Should Consider Efficiency and Ability of Samplers to Cover Microbial Diversity. Appl Environ Microbiol. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Metaxatos A, Manibusan S, & Mainelis G. (2022). Investigation of Sources, Diversity, and Variability of Bacterial Aerosols in Athens, Greece: A Pilot Study. Atmosphere, 13(1), 45. https://www.mdpi.com/2073-4433/13/1/45 [Google Scholar]
- Meyer M. (2017). Aerosol Sampling Experiment on the International Space Station. [Google Scholar]
- Meyer M. (2018). Results of the Aerosol Sampling Experiment on the International Space Station. [Google Scholar]
- Mhuireach G, Johnson BR, Altrichter AE, Ladau J, Meadow JF, Pollard KS, & Green JL (2016). Urban greenness influences airborne bacterial community composition. Science of The Total Environment, 571, 680–687. [DOI] [PubMed] [Google Scholar]
- Miksch RR, Gefter P, Gehlke S, Halpin HA, Meschke JS, Smith B, & Yost M. (2009). Relationship Between Surface Electrostatic Potential and Deposition of Airborne Bacteria. IEE 10.1109/TIA.2009.2018977 [DOI] [PubMed] [Google Scholar]
- Mildrexler DJ, Zhao M, & Running SW (2006). Where are the hottest spots on Earth? Eos, Transactions American Geophysical Union, 87(43), 461–467. 10.1029/2006eo430002 [DOI] [Google Scholar]
- Mitakakis TZ, Tovey ER, Xuan W, & Marks GB (2000). Personal exposure to allergenic pollen and mould spores in inland New South Wales, Australia. Clinical & Experimental Allergy, 30(12), 1733–1739. 10.1046/j.1365-2222.2000.00966.x [DOI] [PubMed] [Google Scholar]
- Montagna M, Rutigliano S, Trerotoli P, Napoli C, Apollonio F, De Giglio O, Diella G, Lopuzzo M, Marzella A, Mascipinto S, Pousis C, Albertini R, Pasquarella C, Serio G, & Caggiano G. (2019). Evaluation of Air Contamination in Orthopaedic Operating Theatres in Hospitals in Southern Italy: The IMPACT Project. International Journal of Environmental Research and Public Health, 16(19). 10.3390/ijerph16193581 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Morawska L, & Cao J. (2020). Airborne transmission of SARS-CoV-2: The world should face the reality. Environment international, 139, 105730. 10.1016/j.envint.2020.105730 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mui K, Wong L, Yu HC, Cheung CT, & Li N. (2017). Exhaust ventilation performance in residential washrooms for bioaerosol particle removal after water closet flushing. Building Services Engineering Research & Technology, 38(1), 32–46. 10.1177/0143624416660597 [DOI] [Google Scholar]
- Namieśnik J, Zabiegała B, Kot-Wasik A, Partyka M, & Wasik A. (2005). Passive sampling and/or extraction techniques in environmental analysis: a review. Analytical and Bioanalytical Chemistry, 381(2), 279–301. 10.1007/s00216-004-2830-8 [DOI] [PubMed] [Google Scholar]
- Nannu Shankar S., Witanachchi CT., Morea AF., Lednicky JA., Loeb JC., Alam MM., Fan ZH., Eiguren-Fernandez A., & Wu C-Y. (2022). SARS-CoV-2 in residential rooms of two self-isolating persons with COVID-19. Journal of Aerosol Science, 159, 105870. 10.1016/j.jaerosci.2021.105870 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Napoli C, Tafuri S, Montenegro L, Cassano M, Notarnicola A, Lattarulo S, Montagna MT, & Moretti B. (2012). Air sampling methods to evaluate microbial contamination in operating theatres: results of a comparative study in an orthopaedics department. Journal of Hospital Infection, 80(2), 128–132. 10.1016/j.jhin.2011.10.011 [DOI] [PubMed] [Google Scholar]
- Näsman Å, Blomquist G, & Levin J-O (1999). Air sampling of fungal spores on filters. An investigation on passive sampling and viability. Journal of Environmental Monitoring, 1(4), 361–365. [DOI] [PubMed] [Google Scholar]
- Noris F, Siegel JA, & Kinney KA (2011). Evaluation of HVAC filters as a sampling mechanism for indoor microbial communities. Atmospheric Environment, 45(2), 338–346. 10.1016/j.atmosenv.2010.10.017 [DOI] [Google Scholar]
- Noss I, Doekes G, Sander I, Heederik DJJ, Thorne PS, & Wouters IM (2010). Passive Airborne Dust Sampling with the Electrostatic Dustfall Collector: Optimization of Storage and Extraction Procedures for Endotoxin and Glucan Measurement. The Annals of Occupational Hygiene, 54(6), 651–658. 10.1093/annhyg/meq026 [DOI] [PubMed] [Google Scholar]
- Noss I, Wouters IM, Visser M, Heederik DJJ, Thorne PS, Brunekreef B, & Doekes G. (2008). Evaluation of a Low-Cost Electrostatic Dust Fall Collector for Indoor Air Endotoxin Exposure Assessment. Journal of Applied and Environmental Microbiology, 74(18), 5621–5627. 10.1128/AEM.00619-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Oh H-J, Han TT, & Mainelis G. (2020). Performance of Two Different Techniques to Concentrate Samples for Bioaerosol Quantification. Atmosphere, 11(5), 504. 10.3390/atmos11050504 [DOI] [Google Scholar]
- Omeli︠a︡nskiĭ VL (1922). Prakticheskoe rukovodstvo po mikrobiologii. [Google Scholar]
- Omeli︠a︡nskiĭ VL (1940). Prakticheskoe rukovodstvo po mikrobiologii (2nd ed.). [Google Scholar]
- Pan J, Hawks SA, Prussin AJ, Duggal NK, & Marr LC (2022). SARS-CoV-2 on Surfaces and HVAC Filters in Dormitory Rooms. Environmental Science & Technology Letters. [Google Scholar]
- Park D-U, Ryu S-H, Kim S-B, & Yoon C-S (2011). An Assessment of Dust, Endotoxin, and Microorganism Exposure during Waste Collection and Sorting. Journal of the Air & Waste Management Association, 61(4), 461–468. 10.3155/1047-3289.61.4.461 [DOI] [PubMed] [Google Scholar]
- Pasquarella C, Agodi A, Auxilia F, Lytsy B, Mura I, Parneix P, Popp W, & Brusaferro S. (2019). Air quality in the operating theatre: a perspective. Aerobiologia. 10.1007/s10453-019-09584-0 [DOI] [Google Scholar]
- Pasquarella C, Pitzurra O, & Savino A. (2000). The index of microbial air contamination. Journal of Hospital Infection, 46(4), 241–256. 10.1053/jhin.2000.0820 [DOI] [PubMed] [Google Scholar]
- Pasquarella C., Vitali P., Saccani E., Manotti P., Boccuni C., Ugolotti M., Signorelli C., Mariotti F., Sansebastiano GE., & Albertini R. (2012). Microbial air monitoring in operating theatres: experience at the University Hospital of Parma. Journal of Hospital Infection, 81(1), 50–57. 10.1016/j.jhin.2012.01.007 [DOI] [PubMed] [Google Scholar]
- Passos RG, Silveira MB, & Abrahão JS (2021, Apr). Exploratory assessment of the occurrence of SARS-CoV-2 in aerosols in hospital facilities and public spaces of a metropolitan center in Brazil. Environ Res, 195, 110808. 10.1016/j.envres.2021.110808 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pasteur L. (1862). Sur les corpuscules organisés qui existent dans l’atmosphère, examen de la doctrine des générations spontanées, leçon professée à la Société clinique de Paris, le 19 mai 1861, par ML Pasteur. C. Lahure. [Google Scholar]
- Pearson C, Littlewood E, Douglas P, Robertson S, Gant TW, & Hansell AL (2015). Exposures and health outcomes in relation to bioaerosol emissions from composting facilities: a systematic review of occupational and community studies. J Toxicol Environ Health B Crit Rev, 18(1), 43–69. 10.1080/10937404.2015.1009961 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pena P, Morais J, Quintal Gomes A, & Viegas C. (2021, Jun). Sampling methods and assays applied in SARS-CoV-2 exposure assessment. Science of The Total Environment, 775, 145903. 10.1016/j.scitotenv.2021.145903 [DOI] [Google Scholar]
- Poulos LM, O’Meara TJ, Hamilton RG, & Tovey ER (2002). Inhaled latex allergen (Hev b 1). Journal of Allergy and Clinical Immunology, 109(4), 701–706. 10.1067/mai.2002.122463 [DOI] [PubMed] [Google Scholar]
- Rautemaa R, Nordberg A, Wuolijoki-Saaristo K, & Meurman JH (2006). Bacterial aerosols in dental practice – a potential hospital infection problem? Journal of Hospital Infection, 64(1), 76–81. 10.1016/j.jhin.2006.04.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rendon RVC, Garcia BCB, & Vital PG (2017). Assessment of airborne bacteria in selected occupational environments in Quezon City, Philippines. Archives of Environmental & Occupational Health, 72(3), 178–183. 10.1080/19338244.2016.1192981 [DOI] [PubMed] [Google Scholar]
- Rocha-Melogno L, Ginn O, Bailey ES, Soria F, Andrade M, Bergin MH, Brown J, Gray GC, & Deshusses MA (2020). Bioaerosol sampling optimization for community exposure assessment in cities with poor sanitation: A one health cross-sectional study. The Science of the total environment, 738, 139495–139495. 10.1016/j.scitotenv.2020.139495 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rocha-Melongo L, Ginn O, Bailey E, Gray G, Bergin M, Soria F, Andrade M, Brown J, & Deshusses M. (2019). Quantitative Microbial Exposure Assessment of Aerosolized Enteric and Opportunistic Pathogens in La Paz, Bolivia: A One Health Approach to Study Bioaerosols in Cities with Poor Sanitation. 37th American Association for Aerosol Research (AAAR) Annual Conference, Portland, OR. [Google Scholar]
- Samet JM, Prather K, Benjamin G, Lakdawala S, Lowe JM, Reingold A, Volckens J, & Marr LC (2021, Nov 16). Airborne Transmission of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2): What We Know. Clin Infect Dis, 73(10), 1924–1926. 10.1093/cid/ciab039 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sandle T. (2015). Settle plate exposure under unidirectional airflow and the effect of weight loss upon microbial growth [Article ]. European Journal of Parenteral & Pharmaceutical Sciences, 20(2), 45–50. https://login.proxy.libraries.rutgers.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=aph&AN=113756581&site=eds-live [Google Scholar]
- Santarpia J, A NM, Lisco S, Lucero G, Rivera D, Herrera V, & Stein S. (2021). Measurements of Exhaled SARS-CoV-2 and Human Respiratory Droplets Using an Infectious Aerosol Capture Mask. 2021 American Association for Aerosol Research 39th Annual Conference, Virtual. [Google Scholar]
- Scaltriti S, Cencetti S, Rovesti S, Marchesi I, Bargellini A, & Borella P. (2007). Risk factors for particulate and microbial contamination of air in operating theatres. Journal of Hospital Infection, 66(4), 320–326. 10.1016/j.jhin.2007.05.019 [DOI] [PubMed] [Google Scholar]
- Schneider CM, & Kirschner J. (2000). Chapter 9 - Magnetism at Surfaces and in Ultrathin Films. In Horn K. & Scheffler M. (Eds.), Handbook of Surface Science (Vol. 2, pp. 511–668). North-Holland. 10.1016/S1573-4331(00)80013-X [DOI] [Google Scholar]
- Serrano-Silva N, & Calderón-Ezquerro MC (2018). Metagenomic survey of bacterial diversity in the atmosphere of Mexico City using different sampling methods. Environmental Pollution, 235, 20–29. 10.1016/j.envpol.2017.12.035 [DOI] [PubMed] [Google Scholar]
- Setlhare G, Malebo N, Shale K, & Lues R. (2014). Identification of airborne microbiota in selected areas in a health-care setting in South Africa. BMC Microbiology, 14(1). 10.1186/1471-2180-14-100 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Smets W, Moretti S, Denys S, & Lebeer S. (2016). Airborne bacteria in the atmosphere: presence, purpose, and potential. Atmospheric Environment, 139, 214–221. [Google Scholar]
- Spring AM, Docherty KM, Domingue KD, Kerber TV, Mooney MM, & Lemmer KM (2018). A Method for Collecting Atmospheric Microbial Samples From Set Altitudes for Use With Next-Generation Sequencing Techniques to Characterize Communities. Air, Soil and Water Research, 11, 117862211878887. 10.1177/1178622118788871 [DOI] [Google Scholar]
- Stanley NJ., Kuehn TH., Kim SW., Raynor PC., Anantharaman S., Ramakrishnan MA., & Goyal SM. (2008). Background culturable bacteria aerosol in two large public buildings using HVAC filters as long term, passive, high-volume air samplers [Article]. Journal of Environmental Monitoring, 10(4), 474–481. 10.1039/b719316e [DOI] [PubMed] [Google Scholar]
- Stetzenbach LD, Buttner MP, & Cruz P. (2004). Detection and enumeration of airborne biocontaminants. Current opinion in biotechnology, 15(3), 170–174. 10.1016/j.copbio.2004.04.009 [DOI] [PubMed] [Google Scholar]
- Sylvain IA, Adams RI, & Taylor JW (2019). A different suite: The assemblage of distinct fungal communities in water-damaged units of a poorly-maintained public housing building. PloS one, 14(3), e0213355. 10.1371/journal.pone.0213355 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Therkorn J, Thomas N, Calderón L, Scheinbeim J, & Mainelis G. (2017). Design and development of a passive bioaerosol sampler using polarized ferroelectric polymer film [Article]. Journal of Aerosol Science, 105, 128–144. 10.1016/j.jaerosci.2016.12.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Therkorn J, Thomas N, Scheinbeim J, & Mainelis G. (2017). Field performance of a novel passive bioaerosol sampler using polarized ferroelectric polymer films. Aerosol Science and Technology, 51(7), 1–14. 10.1080/02786826.2017.1316830 [DOI] [PMC free article] [PubMed] [Google Scholar]
- U.S. EPA. (2008). Child-Specific Exposure Factors Handbook (Final Report) 2008. U.S. Environmental Protection Agency. [Google Scholar]
- U.S. EPA. (2011). Exposure Factors Handbook 2011 Edition (Final). U.S. Environmental Protection Agency. http://cfpub.epa.gov/ncea/risk/recordisplay.cfm?deid=236252 [Google Scholar]
- Verreault D, Moineau S, & Duchaine C. (2008). Methods for Sampling of Airborne Viruses. Microbiology and Molecular Biology Reviews, 72(3), 413–444. 10.1128/mmbr.00002-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Viani I, Colucci ME, Pergreffi M, Rossi D, Veronesi L, Bizzarro A, Capobianco E, Affanni P, Zoni R, Saccani E, Albertini R, & Pasquarella C. (2020). Passive air sampling: the use of the index of microbial air contamination. Acta bio-medica : Atenei Parmensis, 91(3-S), 92–105. 10.23750/abm.v91i3-S.9434 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Viegas C, Almeida B, Dias M, Caetano LA, Carolino E, Gomes AQ, Faria T, Martins V, & Almeida SM (2020). Assessment of children’s potential exposure to bioburden in indoor environments. Atmosphere, 11(9), 993. 10.3390/atmos11090993 [DOI] [Google Scholar]
- Viegas C, Monteiro A, Liliana Aranha C, Faria T, Carolino E, & Viegas S. (2018). Electrostatic Dust Cloth: A Passive Screening Method to Assess Occupational Exposure to Organic Dust in Bakeries. Atmosphere, 9(2), 64. 10.3390/atmos9020064 [DOI] [Google Scholar]
- Wagner J, & Leith D. (2001a). Field tests of a passive aerosol sampler. Journal of Aerosol Science, 32(1), 33–48. 10.1016/S0021-8502(00)00055-0 [DOI] [Google Scholar]
- Wagner J, & Leith D. (2001b). Passive Aerosol Sampler. Part I: Principle of Operation. Aerosol Science and Technology, 34(2), 186–192. 10.1080/027868201300034808 [DOI] [Google Scholar]
- Wagner J, & Leith D. (2001c). Passive Aerosol Sampler. Part II: Wind Tunnel Experiments. Aerosol Science and Technology, 34(2), 193–201. 10.1080/027868201300034826 [DOI] [Google Scholar]
- Wagner J, & Macher JM (2003). Comparison of a Passive Aerosol Sampler to Size-Selective Pump Samplers in Indoor Environments. AIHA Journal, 64(5), 630–639. 10.1080/15428110308984856 [DOI] [PubMed] [Google Scholar]
- Wight GD (1994). Fundamentals of Air Sampling. Taylor & Francis. https://books.google.com/books?id=96AsWhMuKKEC [Google Scholar]
- Würtz H, Sigsgaard T, Valbjørn O, Doekes G, & Meyer HJIA (2005). The dustfall collector–a simple passive tool for long-term collection of airborne dust: a project under the Danish Mould in Buildings program (DAMIB). Indoor air, 15(1), 33–40. [DOI] [PubMed] [Google Scholar]
- Xu Z., Xu H., & Yao M. (2013). Applicability of a modified MCE filter method with Button Inhalable Sampler for monitoring personal bioaerosol inhalation exposure. Environ Sci Pollut Res Int, 20(5), 2963–2972. 10.1007/s11356-012-1204-6 [DOI] [PubMed] [Google Scholar]
- Yamamoto N, Bibby K, Qian J, Hospodsky D, Rismani-Yazdi H, Nazaroff WW, & Peccia J. (2012). Particle-size distributions and seasonal diversity of allergenic and pathogenic fungi in outdoor air. ISME J, 6(10), 1801–1811. 10.1038/ismej.2012.30 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yamamoto N, Hikono M, Koyama H, Kumagai K, Fujii M, & Yanagisawa Y. (2006). A passive sampler for airborne coarse particles. Journal of Aerosol Science, 37(11), 1442–1454. [Google Scholar]
- Yamamoto N, Matsuki Y, Yokoyama H, & Matsuki H. (2015). Relationships among Indoor, Outdoor, and Personal Airborne Japanese Cedar Pollen Counts. PloS one, 10(6), e0131710. 10.1371/journal.pone.0131710 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yamamoto N, Nishikawa J, Sakamoto M, Shimizu T, & Matsuki H. (2010). Indoor and outdoor concentrations of Japanese cedar pollens and total suspended particulates: A case study at a kindergarten in Japan. Building and Environment, 45(3), 792–797. 10.1016/j.buildenv.2009.08.002 [DOI] [Google Scholar]
- Yamamoto N, Schmechel D, Chen BT, Lindsley WG, & Peccia J. (2011, Aug). Comparison of quantitative airborne fungi measurements by active and passive sampling methods. Journal of Aerosol Science, 42(8), 499–507. 10.1016/j.jaerosci.2011.05.004 [DOI] [Google Scholar]
- Yao M, & Mainelis G. (2006). Utilization of natural electrical charges on airborne microorganisms for their collection by electrostatic means. Journal of Aerosol Science, 37(4), 513–527. 10.1016/j.jaerosci.2005.05.006 [DOI] [Google Scholar]
- Yates MV, Nakatsu CH, Miller RV, & Pillai SD (2016). Manual of Environmental Microbiology, Fourth Edition. American Society of Microbiology. 10.1128/9781555818821 [DOI] [Google Scholar]
- Zhen H, Han T, Fennell DE, & Mainelis G. (2013). Release of free DNA by membrane-impaired bacterial aerosols due to aerosolization and air sampling. Appl Environ Microbiol, 79(24), 7780–7789. 10.1128/AEM.02859-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.