Abstract
Although in-home air cleaners are known to reduce particulate matter (PM) concentrations, their effects on PM chemical constituents and particle-bound radioactivity (PR) under real-world residential conditions remain poorly characterized. We evaluated the effects of a portable high-efficiency particulate air (HEPA) cleaner on particle mass, chemical composition, and particle-bound radioactivity in occupied homes. We collected 86 indoor samples from 19 homes in the Boston metropolitan area between June 2017 and March 2018. Measurements included size-resolved PM fractions (PM2.5, PM10–2.5, and > PM10), short-lived α activity (SLA) and long-lived α activity (LLA) associated with PM2.5, elemental composition, black carbon (BC), and a biomass-burning/cooking surrogate (DC).
HEPA operation substantially reduced indoor particle concentrations, with mean decreases of 3.7, 1.0, and 0.5 μg/m3 for PM2.5, PM10–2.5, and >PM10, corresponding to removal efficiencies of approximately 60, 37, and 32%, respectively. LLA decreased by 0.68 mBq/m3, corresponding to a 63% removal efficiency (p < 0.001). SLA also decreased substantially, by 31.4 Bq/m3, or approximately 70%; however, this reduction was not statistically significant, likely because of the limited number of valid SLA measurements. Major and trace PM2.5 constituents – including sulfur, crustal elements, BC, and DC-also decreased significantly during HEPA operation.
By jointly assessing PM mass, chemical composition, and particle-bound radioactivity across seasons (summer versus winter) and residential locations (family rooms versus basements), this study extends previous chamber-based and limited field investigations of air-cleaner performance. Overall, the findings indicate that portable HEPA cleaners can reduce indoor PM, chemically diverse PM2.5 constituents, and particle-bound radon decay products in occupied homes. HEPA filtration may therefore provide a practical supplemental strategy for reducing combined exposures to PM and particle-bound radioactivity. However, it does not remove gaseous radon and should not replace radon source-control or remediation measures.
Keywords: HEPA intervention, Indoor particulate matter, Particle radioactivity, Reduced health risks
1. Introduction
Indoor environments contain many particle sources, including cooking, space heating, and cleaning, along with infiltration of outdoor particles through the building envelope and ventilation systems (Tang et al., 2018; Vardoulakis et al., 2020; U.S. EPA, 2025). Recent residential construction and weatherization have emphasized airtight envelopes to improve energy efficiency. While reduced leakage can lower energy use, it may also increase indoor particulate matter (PM) concentrations and related health risks if not accompanied by adequate ventilation and air cleaning.
Indoor PM spans a broad size range and is commonly categorized as fine (PM2.5, <2.5 μm), coarse (PM10–2.5, 2.5–10 μm), and >PM10 (>10 μm). Fine particles are of particular concern because they penetrate deeply into the respiratory tract and reach the gas-exchange regions of the lungs. Beyond their intrinsic toxicity, indoor particles can carry other hazardous agents, including radioactive species, thereby amplifying health impacts. Numerous epidemiological and toxicological studies link PM2.5 exposure to respiratory and cardiovascular disease, reduced lung function, increased hospital and emergency visits, and mortality (Chen et al., 2021; Nuwongcharoen et al., 2023; Li et al., 2024).
Radon, a radioactive noble gas with a 3.8-day half-life, is generated by uranium decay in rocks and soils and can accumulate indoors, especially in basements and ground-contact rooms. Although radon itself is chemically inert and largely exhaled, its decay products are metal ions that readily attach to airborne particles, forming particle-bound radioactivity (PR). This progeny, including the short-lived α emitters 218Po and 214Po and the long-lived α emitter 210Po, emit α radiation that can damage airway epithelium and increase lung cancer risk (U.S. EPA, 2003; WHO, 2009; NCI, 2025). Immediately after formation, decay products exist as unattached ultrafine clusters (0.5–5 nm) for less than about 1 s, then rapidly attach to larger particles within 1–100 s (Offermann et al., 1984; Porstendörfer, 1994). Once attached, the host particles are radioactive; upon inhalation, emitted α particles can interact with lung tissue and other organs, causing DNA damage and raising lung cancer risk (NRC, 1988; WHO, 2021). In many countries, indoor exposure to radon and its decay products accounts for roughly half of all nonmedical radiation exposure (UNSCEAR, 2000; WHO, 2021). Emerging evidence also links radon and its progeny to adverse fetal, perinatal, and maternal outcomes, reduced pulmonary function and COPD-related morbidity and mortality in adults, and asthma morbidity in children (Wang et al., 2023; Banzon et al., 2025; Nyhan et al., 2019; Papatheodorou et al., 2021).
Air filtration is one of the most accessible strategies for controlling residential particulate pollution. Portable HEPA cleaners are relatively inexpensive, easy to deploy, and have been shown to substantially reduce indoor PM2.5 and related particle metrics in occupied homes (Allen et al., 2017; Waring et al., 2022). However, most studies focus on changes in particle mass, number, or short-term health indicators, and few have examined how HEPA filtration affects indoor particle radioactivity or the behavior of radon decay products. In particular, the extent to which HEPA cleaners alter the distribution of particle-bound radioactivity across size fractions and chemical components in real homes remains poorly understood.
In this study, one of the few real-world evaluations in occupied residence, we assessed the effectiveness of a portable HEPA cleaner, with emphasis on its impact on (i) size-resolved indoor particle concentrations, (ii) particle chemical composition, and (iii) PR associated with radon decay products. By simultaneously characterizing changes in particulate pollution and PR, we aim to clarify the potential of residential HEPA filtration to reduce indoor exposures associated health risks from PM and radon decay products.
2. Methods
2.1. Sampling scheme
We collected 86 indoor samples in a convenience sample of 19 homes in the metropolitan Boston area between June 2017 and March 2018. Each home was sampled for 10 days per season in the family room, with 5 days without and 5 days with a HEPA cleaner operating, in either the warm or cold season. Five single–family homes were randomly selected for more intensive sampling, with concurrent measurements in the family room and the basement.
Accordingly, we implemented two sampling configurations (Fig. 1): (i) a regular measurement and (ii) an intensive measurement. For the regular measurements, a cascade indoor sampler, radon charcoal canisters (Radon testing corporation of America, NY), and a CO2 sensor were placed in the family room, where residents spent most of their time. For the intensive measurements, we obtained additional measurements of short–lived α–activity (SLA) in both the family room and the basement, where higher levels of radiation exposure were expected. All basements were similarly unfurnished. The CO2 sensor (Model AZ0003, Global Sensors, Ormond Beach, FL) with a non–dispersive infrared diffusion sensor was placed next to the indoor samplers to provide real–time indoor measurements of CO2, temperature, and relative humidity.
Fig. 1.

Study Design.
In total, samples were collected in 19 homes (including 5 with intensive measurements) in summer and 14 homes (including 4 with intensive measurements) in winter. Some residents did not participate in follow–up winter sampling. Field staff visited homes three times per campaign: (i) to set up sampling equipment on day 1, (ii) to change samples and install the air cleaner on day 5, and (iii) to remove samplers on day 10. Because of logistical constraints and occasional instrument malfunction, fewer valid SLA samples were collected than other measurements.
2.2. Short– and long–lived α–activities
Short–lived particle α–activity (SLA) from radon decay products (218Po and 214Po) was measured using an electret radon decay products integrating sampling unit (E–RPISU; Rad Elec Inc., Frederick, MD). The unit collects radon decay products on a 25–mm filter at a low flow rate of 0.8 L/min and registers α–radiation from the deposited decay products during sample collection (Kotrappa et al., 2003). This method has been widely used to monitor SLA from α–radiation emitted by radon decay products captured on filters (US DOE, 1994; Dua et al., 1999).
Long–lived particle α–activity (LLA) from radon decay products (210Po) was measured on the PM2.5 filters. Filters were stored for more than one year to allow ingrowth of 210Po from 210Pb and then analyzed using a low–background proportional counter (Model LB4200, Canberra Industries, Inc., Meriden, CT) with a P10 carrier gas (10% methane in argon). Because of the low radioactivity of the filter samples, we used a 600–minute counting time to ensure sufficient counts for reliable quantification. Using a 0.0518 μCi NIST–traceable 210Po source on a 5.7–cm planchet, the gross 4π α-counting efficiency was 40 ± 1%. The detection limit was 0.015 mBq/m3 for a sample volume of 36 m3. Detailed descriptions of this analysis are provided elsewhere (Kang et al., 2020).
2.3. PM mass and PM2.5 components
Indoor PM samples were collected using two–stage cascade impactors that capture particles in three size ranges at a flow rate of 5 L/min. The two upstream impactor stages are equipped with slit–shaped acceleration nozzles and are followed by a backup Teflon filter at the third stage. Polyurethane foam (PUF) substrates were used as impaction surfaces on the first two stages to collect particles > 10 μm (>PM10) and 2.5–10 μm (PM10–2.5) (Case et al., 2008; Lee et al., 2006). The third stage used a 37–mm Teflon filter supported by a drain disk and a stainless–steel screen to collect PM2.5.
Teflon filters were weighed before and after sampling using an electronic microbalance (Model MT–5, Mettler Toledo, Columbus, OH) under controlled temperature and relative humidity to obtain gravimetric mass concentrations. Filters were subsequently analyzed for sulfur and other elements using an energy–dispersive X–ray fluorescence (EDXRF) spectrometer (Model Epsilon 5, PANalytical, The Netherlands) (Kang et al., 2014). The same filters were also used for LLA analysis as described above.
To characterize carbonaceous fractions, we used an optical transmissometer (OT21, Magee Scientific), which allows retrospective filter–based estimation of black carbon (BC) and brown carbon (BrC). This approach is analogous to multichannel wavelength aethalometers used for real–time monitoring. Enhanced absorption at ultraviolet wavelengths (e.g., 370 nm) reflects aromatic organic compounds from sources such as wood smoke, biomass burning, and tobacco smoke (BrC), whereas absorption at near–infrared wavelengths (e.g., 880 nm) is dominated by BC from traffic emissions. Because BC and BrC are typically correlated, we used the difference (Delta Carbon, DC = BrC – BC) as a surrogate for biomass burning.
2.4. HEPA cleaner and effectiveness
We used portable HEPA cleaners. Each unit includes four filtration stages: a pre–screen to remove hair and dust fibers, a pre–filter to capture large particles, a metal–embedded activated carbon bed to remove odors and volatile organic compounds, and a HEPA filter to remove fine particles. After the summer campaign and before new home setting, activated carbon and HEPA filters were replaced, and the pre–screen mesh and pre–filter were cleaned using a vacuum cleaner.
The air cleaner was placed opposite the indoor samplers in the family room, as far apart as practical. According to the manufacturer, a single unit covers up to 145 m2 of living space, with a clean air delivery rate (CADR) of 9.9 m3/min. For a typical room volume, this corresponds to several clean–air changes per hour. Because the same model was operated at the same (or similar) airflow rate in all homes, we considered the particle removal efficiency of the units to be comparable across houses. The removal efficiency (, %) for a specific home (i) during a given season (j) was calculated as:
where is the concentration before the intervention (HEPA off) and is the concentration during the intervention (HEPA on) for a specific home (i) during a given season (j).
3. Results
Nineteen homes (9 single-families, 10 multifamily residences) participated in the Boston air cleaner intervention study. The homes were constructed between 1900 and 2016, and their mean living area was approximately 139 m2, making them broadly representative of housing in the northeastern United States. Indoor measurements collected before HEPA deployment served as the control for each home and season. Table 1 summarizes the mean control concentrations and changes observed during the intervention. Because HEPA filtration is not expected to remove gas-phase radon and our analysis focused on particulate-phase constituents, gas-phase radon was not included in subsequent analyses; however, these data are provided in the tables.
Table 1.
Overall measurements of control and intervention.
| Species | Control (AC=OFF) | Intervention (AC=ON) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
|
|||||||||
| Mean | SD1 | Min | Max | N2 | Mean | SD | Min | Max | N | ||
|
| |||||||||||
| PM2.5 (μg/m3) | 5.9 | 3.5 | 1.0 | 15.1 | 44 | 2.2 | 1.4 | 0.2 | 5.5 | 42 | |
| PM10–2.5 (μg/m3) | 2.9 | 1.7 | 0.3 | 6.4 | 44 | 1.9 | 1.0 | 0.4 | 4.8 | 42 | |
| >PM10 (μg/m3) | 2.4 | 1.3 | 0.5 | 5.2 | 44 | 1.9 | 0.9 | 0.5 | 4.0 | 42 | |
| Rn (Bq/m3) | 50.4 | 91.7 | 3.7 | 537 | 43 | 44.3 | 85.2 | 3.7 | 488 | 41 | |
| SLA (Bq/m3) | 43.2 | 39.1 | 5.3 | 131 | 12 | 11.8 | 5.8 | 4.4 | 17.3 | 4 | |
| LLA (mBq/m3) | 1.07 | 0.52 | 0.09 | 2.72 | 43 | 0.39 | 0.31 | 0.0 | 1.33 | 41 | |
| BC (μg/m3) | 0.32 | 0.17 | 0.06 | 0.93 | 44 | 0.14 | 0.08 | 0.00 | 0.35 | 42 | |
| DC (μg/m3) | 0.12 | 0.08 | 0.04 | 0.50 | 44 | 0.08 | 0.04 | 0.01 | 0.21 | 42 | |
| Na (ng/m3) | 67.6 | 63.6 | 0.0 | 274 | 44 | 23.0 | 22.5 | 0.0 | 105 | 42 | |
| Mg (ng/m3) | 14.1 | 13.4 | 0.0 | 82.4 | 44 | 6.7 | 4.1 | 0.0 | 16.1 | 42 | |
| Al (ng/m3) | 18.3 | 12.1 | 0.7 | 64.7 | 44 | 8.8 | 5.1 | 0.0 | 21.4 | 42 | |
| Si (ng/m3) | 31.8 | 28.3 | 3.4 | 166 | 44 | 14.0 | 11.6 | 0.4 | 44.5 | 42 | |
| S (ng/m3) | 194 | 110 | 17.6 | 436 | 44 | 69.7 | 58.9 | 0.0 | 236 | 42 | |
| Cl (ng/m3) | 29.5 | 42.2 | 0.2 | 157 | 44 | 12.2 | 21.1 | 0.1 | 119 | 42 | |
| K (ng/m3) | 49.1 | 97.6 | 4.4 | 662 | 44 | 12.4 | 8.5 | 0.1 | 31.6 | 42 | |
| Ca (ng/m3) | 23.7 | 20.4 | 2.8 | 95.5 | 44 | 9.8 | 7.5 | 0.0 | 32.8 | 42 | |
| Ti (ng/m3) | 2.4 | 2.0 | 0.1 | 15.2 | 44 | 1.0 | 0.7 | 0.1 | 3.2 | 42 | |
| Fe (ng/m3) | 20.9 | 17.1 | 0.7 | 82.2 | 44 | 7.7 | 7.7 | 0.0 | 30.9 | 42 | |
| Cu (ng/m3) | 3.7 | 3.9 | 0.5 | 25.6 | 44 | 2.0 | 2.2 | 0.2 | 14.4 | 42 | |
| Zn (ng/m3) | 4.2 | 3.1 | 0.0 | 19.0 | 44 | 1.4 | 1.2 | 0.0 | 4.7 | 42 | |
| Br (ng/m3) | 0.9 | 0.7 | 0.0 | 2.3 | 44 | 0.5 | 0.5 | 0.0 | 2.3 | 42 | |
| Pb (ng/m3) | 2.8 | 3.1 | 0.0 | 20.0 | 44 | 2.1 | 1.2 | 0.0 | 4.4 | 42 | |
| CO2 (ppm) | 569 | 135 | 399 | 1135 | 43 | 571 | 141 | 423 | 1177 | 38 | |
| Temp (°C) | 22.1 | 3.3 | 12.7 | 27.1 | 44 | 22.3 | 3.5 | 13.1 | 28.1 | 39 | |
| RH (%) | 48 | 16 | 14 | 87 | 44 | 47 | 15 | 19 | 83 | 39 | |
Standard deviation
Number of measurements
3.1. Particle size distribution
Baseline indoor averages of PM2.5, PM10–2.5, and >PM10 were 5.9, 2.9, and 2.4 μg/m3, respectively (Table 1). During HEPA operation, the corresponding averages decreased to 2.2, 1.9, and 1.9 μg/m3. The reductions of 3.7 and 1.0 μg/m3 for PM2.5 and PM10–2.5 were statistically significant (p < 0.01), whereas the reduction of 0.5 μg/m3 for >PM10 was not statistically significant (Fig. 2). All particle size fractions decreased during HEPA operation, with the largest absolute and relative reductions observed for PM2.5, followed by PM10–2.5 and >PM10. This pattern indicates that apparent removal efficiency decreases with increasing particle size, presumably because coarse particles, which are mainly generated indoors, are not well mixed.
Fig. 2. Intervention reduction by species —

In this plot, bars indicate mean removal efficiency for each paired species, defined as (control – intervention)/control × 100%; whiskers indicate ± 2 standard error; p-value from paired ON vs. OFF t-tests.
3.2. Particle radioactivity and elemental composition
Average SLA and LLA during non-intervention periods were 43.2 Bq/m3 and 1.07 mBq/m3, respectively. As expected, SLA exceeded LLA because short-lived progeny decay faster, yielding higher specific activity. With HEPA operation, SLA and LLA averages fell to 11.8 Bq/m3 and 0.39 mBq/m3, corresponding to reductions of 31.4 Bq/m3 and 0.68 mBq/m3 (Table 1). The LLA reduction was statistically significant (p < 0.001), whereas the large SLA reduction was not, due to the limited number of SLA samples. Although SLA and LLA represent different particle size domains (non–size-selective PM vs. PM2.5), radioactivity is expected to be dominated by fine particles because of their larger surface area (Liu et al., 2018). The estimated removal efficiency for LLA (63%) and the point estimate for SLA (70%) indicate that particle-bound decay products are removed at least as efficiently as nonradioactive aerosol, though the SLA estimate is more uncertain.
BC (traffic surrogate) and DC (biomass-burning surrogate) averaged 0.32 and 0.12 μg/m3 during control periods and decreased to 0.14 and 0.08 μg/m3 with HEPA use, yielding statistically significant reductions of 0.18 μg/m3 (BC, p < 0.001) and 0.05 μg/m3 (DC, p < 0.01). Among PM2.5 elements, sulfur was most abundant, averaging 194 ng/m3 during control periods and decreasing to 69.7 ng/m3 with HEPA, a reduction of 124 ng/m3. Na, K, and Si (sea salts and crustal elements) averaged 67.6, 49.1, and 31.8 ng/m3, with reductions of 44.6, 36.7, and 17.8 ng/m3. Trace elements ranged from 0.9 ng/m3 (Br, infiltrated marine aerosol, traffic- or combustion-related emissions, and indoor brominated materials) to 29.5 ng/m3 (Cl, infiltrated outdoor salt aerosols and indoor activities such as cooking and chlorine-based cleaning) before the intervention and showed significant decreases (e.g., 17.3 ng/m3 for Cl, 0.4 ng/m3 for Br); most elemental reductions were significant at p < 0.001 or p < 0.01, except Pb.
Radon concentrations varied somewhat, possibly because of the cleaner’s charcoal filter and/or day-to-day variation. Because portable HEPA cleaners are not expected to remove gas-phase radon from indoor air, we excluded these results from further discussion to avoid misinterpretation. CO2 concentrations, temperature, and relative humidity were similar before and after HEPA deployment (Tables S1 and S2), indicating that the intervention primarily affected particles rather than ventilation or indoor thermal conditions.
3.3. Effects of seasons and house locations
Indoor measurements were conducted in summer (June–September 2017) and winter (December 2017–March 2018). Tables S1 and S2 also summarize seasonal concentrations and those by location (family rooms vs. basements). In summer, average PM2.5, PM10–2.5, >PM10, and most other species were higher, likely due to increased air exchange from more frequent window and door opening. In contrast, DC, Cl, Zn, and Pb were higher in winter; elevated Cl is consistent with road salt, and higher DC suggests increased biomass burning (e.g., wood stoves).
Most species showed larger absolute HEPA effects in summer. For PM2.5, PM10–2.5, and >PM10, HEPA operation reduced concentrations by 4.5, 1.2, and 0.8 μg/m3 in summer versus 2.6, 0.5, and 0.1 μg/m3 in winter. For SLA and LLA, reductions were 36.3 Bq/m3 and 0.80 mBq/m3 in summer and 20.6 Bq/m3 and 0.51 mBq/m3 in winter. LLA reductions in both seasons were statistically significant (p < 0.001), whereas SLA reductions were not, given the small sample size. BC and most elements showed similar seasonal patterns, while DC and Al had greater absolute reductions in winter, reflecting higher winter baselines. Paired t-tests, however, did not identify statistically significant seasonal differences in reductions.
Concentrations also varied by location. Except for SLA (substantially higher in basements: 60.5 Bq/m3) and LLA, most measurements were roughly twice as high in family rooms as in basements, consistent with greater activity and air exchange in primary living spaces. Because all elements were analyzed on PM2.5 filters, component-to-PM2.5 ratios generally followed PM2.5, except for a few low-concentration species (DC, Br, Pb). Reduction patterns by location broadly resembled those by size fraction. In basements, HEPA airflow may have resuspended coarse particles, contributing to relatively small reductions (or slight increases) in >PM10 compared with PM10–2.5. LLA reductions were larger in basements than in family rooms, reflecting higher baseline radioactivity; limited valid SLA data in family rooms precluded location-specific SLA estimates, though larger absolute SLA reductions are expected in basements.
For PM2.5, the HEPA intervention reduced concentrations by 4.2 μg/m3 in family rooms and 2.0 μg/m3 in basements, with many elements showing larger reductions in family rooms, consistent with PM2.5. Although point estimates varied by season and location for several species, overlapping confidence intervals suggest these differences should be interpreted as indicative rather than definitive evidence of differential HEPA effects.
4. Discussion
We evaluated a portable HEPA cleaner’s impact on indoor particle mass, size fractions, chemical components, and associated PR in occupied homes in the Boston area, quantifying reductions from the difference between control and intervention measurements (Fig. 2).
The HEPA cleaner substantially reduced indoor particulate matter, with the largest effect on fine particles (PM2.5). Average PM2.5 fell from 5.9 to 2.2 μg/m3 (~ 60% removal), while reductions for PM10–2.5 and > PM10 were more modest (37.1% and 31.9%). Our findings agree with prior residential, chamber, and crossover studies reporting size-dependent removal efficiencies of 30–70% and PM2.5 reductions of 30–40% from portable HEPA units in homes and classrooms (Brugge et al., 2025; Jhun et al., 2017; Simon et al., 2025). Smaller coarse-particle reductions may also reflect poorer mixing and diverse sources (e.g., skin flakes, fibers, resuspended dust, and outdoor dust/soil).
The intervention also strongly reduced PR. LLA from long-lived decay products (210Po) on PM2.5 decreased with an estimated 62.7% removal efficiency and high statistical significance. SLA from short-lived decay products (218Po, 214Po) showed a large average reduction (~70% removal) but with imprecise, non-significant estimates due to the small sample size. Overall, the pattern suggests that particle-bound radon decay products are at least as efficiently removed as nonradioactive aerosols. Fresh decay products form mobile, charged nanoclusters that rapidly attach to aerosol and plate out on surfaces (Porstendörfer, 1994; Kotrappa et al., 2003; NRC, 1988); by lowering airborne particle number and surface area, HEPA filtration removes attached decay products and facilitates deposition of unattached ions and clusters. Previous work (Kang et al., 2020) showed SLA is closely linked to indoor radon, while LLA tracks sulfur (a marker of infiltrated outdoor particles), reinforcing that efficient filtration can substantially reduce the component of indoor radiation dose mediated by particle-bound decay products. These reductions are relevant for lung cancer risk (National Research Council (NRC), 1988; UNSCEAR, 2000; WHO, 2009; U.S. EPA, 2003) and emerging non-cancer outcomes in vulnerable groups. However, HEPA filtration does not reduce radon gas itself, only the particle-bound portion of the dose.
Chemical composition measurements further support the effectiveness of HEPA filtration. Sulfur decreased by 124.3 ng/m3, corresponding to a removal efficiency of 66.9%, similar to that of PM2.5. Because sulfur in indoor fine particles is often associated with infiltrated outdoor aerosol, this reduction is consistent with effective removal of outdoor-derived sulfur-containing particles. Significant decreases in Na, K, Si, Ca, Fe, and several trace elements further indicate that the cleaner removed particles with diverse chemical characteristics. BC and DC, which serve as indicators of traffic-related combustion and biomass-burning/cooking influences, decreased by approximately 56.1% and 48.8%, respectively. The observed reductions are broadly consistent with the major indoor PM2.5 source categories previously identified in Boston – indoor mixed dust, sea/road salts, biomass burning, and outdoor air pollution (Matthaios et al., 2021). Although source apportionment was beyond the scope of this study, these results suggest that HEPA filtration can reduce PM2.5 associated with multiple indoor and outdoor sources. Together, the findings align with prior work showing that indoor fine particle composition in residences and schools often reflects substantial outdoor contributions, even in relatively airtight buildings (Derbez et al., 2018; Jhun et al., 2017; Langer et al., 2016; Simon et al., 2025; Tang et al., 2018).
Seasonal analyses (Fig. 3) highlight the role of infiltration and sources. Most particle and elemental concentrations, as well as LLA, were higher in summer than in winter, consistent with greater window opening and higher air exchange rates (ASHRAE, 1981; Derbez et al., 2018). Accordingly, absolute HEPA-related reductions in PM2.5, SLA, LLA, BC, and many elements were generally larger in summer, indicating that the cleaner removes more mass when outdoor-derived pollutant loads and indoor–outdoor exchange are higher. These patterns agree with prior radon and radon decay studies and HEPA intervention work across different outdoor pollution regimes (Dudney et al., 1990; Kang et al., 2020; Simon et al., 2025).
Fig. 3. Intervention reduction by seasons —

In this plot, bars indicate mean removal efficiency for each paired species, defined as (control – intervention)/control × 100%; whiskers indicate ± 2 standard error; p-value from paired ON vs. OFF t-tests.
Location contrasts (Fig. 4) underscore microenvironmental differences. Family rooms had roughly twice the concentrations of most PM2.5 components as basements, reflecting more activity, higher air exchange, and greater outdoor influence (Wallace et al., 1991; Robinson and Thomas, 1991; Langer et al., 2016). In contrast, radon and its decay products (SLA) were much higher in basements, consistent with proximity to soil gas entry. Nevertheless, the HEPA cleaner significantly reduced LLA in both locations, with larger estimated PM2.5 and elemental reductions in family rooms, likely due to higher baselines and more resuspension.
Fig. 4. Intervention reduction by house locations —

In this plot, bars indicate mean removal efficiency for each paired species, defined as (control – intervention)/control × 100%; whiskers indicate ± 2 standard error; p-value from paired ON vs. OFF t-tests.
Our results are consistent with a growing intervention literature showing that HEPA filtration not only reduces indoor PM2.5 but can also yield short-term health benefits. Recent randomized trials in homes and schools have reported improved blood pressure in adults and better lung function and reduced airway inflammation in children following HEPA interventions (Brugge et al., 2025; Li and Kan, 2024). Although we did not measure health outcomes, this evidence, combined with our findings on PM2.5, composition, and particle radioactivity, suggests that portable HEPA cleaners are a practical near-term strategy to reduce inhalation exposures in existing buildings, particularly where radon potential, traffic or biomass-related pollution, and airtight, energy-efficient housing are concerns.
The primary novelty of this study is its integrated assessment of the effects of portable HEPA filtration on indoor particulate matter, particle chemical composition, and particle-bound radioactivity across seasons (summer versus winter) and residential locations (family rooms versus basements) in occupied homes. Unlike most residential air-cleaner studies, which focus primarily on PM2.5 mass or short-term health indicators, we measured both long-lived and short-lived α-activity associated with radon decay products, together with size-fractionated PM and elemental and carbonaceous constituents. Our results demonstrate that portable filtration substantially reduces long-lived particle-bound α-activity, with removal efficiencies comparable to those observed for PM2.5, while leaving gaseous radon largely unaffected. These findings extend previously controlled or limited investigations by providing field-based evidence that particle filtration can reduce a potentially important component of combined indoor PM and radon-progeny exposure.
5. Conclusions
Indoor radon and its decay products (SLA, LLA) are important health concerns because they increase lung cancer risk, and coexisting fine particles can amplify this risk by carrying radon progeny. In our study, indoor particle radioactivity varied by home and season but was consistent with prior work, supporting our methods.
Portable HEPA cleaners substantially reduced indoor PM2.5, key components (sulfur and traffic/biomass markers), and both short- and long-lived α activity from radon decay products. Removal efficiencies for particle radioactivity were comparable to or greater than those for PM2.5, indicating strong control of particle-bound radiation. Reductions in long-lived α activity were precise and statistically robust, while decreases in short-lived α activity, though often large, were more uncertain.
Overall, portable HEPA cleaners are a practical and effective way to lower exposures to fine particles and PR in homes, potentially mitigating related health risks, especially where radon or outdoor PM infiltration is high. However, because HEPA filtration does not remove radon gas, comprehensive mitigation still requires source control and building-level remediation in homes with elevated radon.
Supplementary Material
Acknowledgments
This publication was made possible by NIH grant R01HL179094. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the funders. The funders do not endorse the purchase of any commercial products or services mentioned in this publication.
Appendix A. Supplementary data
Supplementary data to this article can be found online at https://doi.org/10.1016/j.envint.2026.110528.
Footnotes
Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Data availability
Data will be made available on request.
References
- Allen RW, et al. , 2017. Effect of Portable air cleaners on indoor PM2.5 and cardiovascular health among older adults: a randomized clinical trial. JAMA Intern. Med. 177 (7), 1–9. [Google Scholar]
- ASHRAE. Standard 62–81: Ventilation for Acceptable Indoor Air Quality; American Society of Heating, Refrigerating and Air–Conditioning Engineers: Atlanta, GA, 1981. [Google Scholar]
- Banzon TM, Jung YS, Greco KF, Li L, Nadeau K, Permaul P, Koutrakis P, Gaffin JM, Phipatanakul W, 2025. Biomarkers of inflammation associated with radon exposure in the school inner-city asthma study (SICAS). J. Allergy Clin. Immunol. 155 (6), 1866–1872. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brugge D, Eliasziw M, Thanikachalam M, et al. , 2025. Effect of HEPA filtration air purifiers on blood pressure: a pragmatic randomized crossover trial. J. Am. Coll. Cardiol. 86 (8), 577–589. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Case MW, Williams R, Yeatts K, Chen F, Scott J, Svendsen E, Devlin RB, 2008. Evaluation of a direct personal coarse particulate matter monitor. Atmos. Environ. 42, 4446–4452. [Google Scholar]
- Chen H, et al. , 2021. Long–term PM. exposure and risks of ischemic heart disease and stroke events: a review and meta–analysis. J. Am. Heart Assoc. 10 (1), e018990. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Derbez M, Wyart G, Ponne EL, Ramalho O, Riberon J, Mandin C, 2018. Indoor air quality in energy–efficient dwellings: levels and sources of pollutants. Indoor Air 28, 318–338. [DOI] [PubMed] [Google Scholar]
- Dua SK, Biswas SK, Szerszen P, Boudreaux J, Ebadian MA, 1999. Measurement of surface alpha contamination using electret ion chambers. Health Phys. 76, 664–674. [DOI] [PubMed] [Google Scholar]
- Dudney CS, Hawthorne AR, Wallace RG, Reed RP, 1990. Radon–222, 222Rn progeny, and 220Rn progeny levels in 70 houses. Health Phys. 58 (3), 297–311. [DOI] [PubMed] [Google Scholar]
- Jhun I, Gaffin JM, Coull BA, Huffaker MF, Petty CR, Sheehan WJ, Baxi SN, Lai PS, Kang CM, Wolfson JM, Gold DR, Koutrakis P, Phipatanakul W, 2017. School environmental intervention to reduce particulate pollutant exposures for children with asthma. J. Allergy Clin. Immunol. Pract. 5 (1), 154–163.e3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kang CM, Achilleos S, Lawrence J, Wolfson JM, Koutrakis P, 2014. Inter–lab comparison of elemental analysis for low ambient urban PM2.5 levels. Environ. Sci. Technol. 48, 12150–12156. [DOI] [PubMed] [Google Scholar]
- Kang CM, Liu M, Garshick E, Koutrakis P, 2020. Indoor particle alpha radioactivity origins in occupied homes. Aerosol Air Qual. Res. 20, 1374–1383. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kotrappa P; Stieff RL An Advanced E–Perm System for Simultaneous Measurement of Concentrations of Radon Gas, Radon Progeny, Equilibrium Ratio and Unattached Radon Progeny. In Proceedings of the 2003 International Radon Symposium; American Association of Radon Scientists and Technologists: 2003; Vol. II. [Google Scholar]
- Langer S, Ramalho O, Derbez M, Ribéron J, Kirchner S, Mandin C, 2016. Indoor environment quality in french dwellings and building characteristics. Atmos. Environ. 128, 82–91. [Google Scholar]
- Lee SJ, Demokritou P, Koutrakis P, Delgado-Saborit JM, 2006. Development and evaluation of a personal respirable particulate sampler (PRPS). Atmos. Environ. 40, 212–224. [Google Scholar]
- Li T, Kan H, et al. , 2024. Respiratory benefits of multisetting air purification in children: a cluster randomized crossover trial. JAMA Pediatr. 178, e245049. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu S, Chen J, Zhao Q, Song X, Shao D, Meliefste K, Du Y, Wang J, Wang M, Wang T, Feng B, Wu R, Xu H, He B, Brunekreef B, Huang W, 2018. Cardiovascular benefits of short–term indoor air filtration intervention in elderly living in beijing: an extended analysis of BIAPSY study. Environ. Res. 167, 632–638. [DOI] [PubMed] [Google Scholar]
- Matthaios VN, Liu M, Li L, Kang CM, Vieira CLZ, Gold DR, Koutrakis P, 2021. Sources of indoor PM2.5 gross α and β activities measured in 340 homes. Environ. Res. 197, 111114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- National Research Council (NRC). Health Risks of Radon and Other Internally Deposited Alpha–Emitters; National Academy Press: Washington, DC, 1988. [PubMed] [Google Scholar]
- NCI. Radon and Cancer. National Cancer Institute, 2025. https://www.cancer.gov (accessed 2023-07-21). [Google Scholar]
- Nuwongcharoen N, et al. , 2023. Long–term exposure to particulate matter and cardiovascular and respiratory diseases in low– and middle–income countries: a systematic review and meta–analysis. Environ. Res. 232, 116411. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nyhan MM, Rice M, Blomberg A, Coull BA, Garshick E, Vokonas P, Schwartz J, Gold DR, Koutrakis P, 2019. Associations between Ambient Particle Radioactivity and Lung Function. Environ. Int. 130, 104795. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Offermann FJ, Sextro RG, Fisk WJ, Nazaroff WW, Nero AV, Revzan KL, Yater J, 1984. Control of Respirable Particles and Radon Progeny with Portable Air Cleaners (LBL–16659). Berkeley, CA, Lawrence Berkeley Laboratory. [Google Scholar]
- Papatheodorou S, Yao W, Vieira CLZ, Li L, Wylie BJ, Schwartz J, Koutrakis P, 2021. Residential radon exposure and hypertensive disorders of pregnancy in massachusetts, USA: a cohort study. Environ. Int. 146, 106285. [DOI] [PubMed] [Google Scholar]
- Porstendörfer J, 1994. Properties and behaviour of radon and thoron and their decay products in air. J. Aerosol Sci 25, 219–263. [Google Scholar]
- Robinson JP; Thomas J Time Spent in Activities, Locations, and Microenvironments: A California–National Comparison Project Report; U.S. Environmental Protection Agency, Environmental Monitoring Systems Laboratory: Washington, DC, 1991. [Google Scholar]
- Simon SC, Bartell SM, Vieira VM, et al. , 2025. Classroom air quality in a randomized crossover trial with portable HEPA air cleaners. J. Expo. Sci. Environ Epidemiol. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tang CH, Garshick E, Grady S, Coull B, Schwartz J, Koutrakis P, 2018. Development of a modeling approach to estimate indoor–to–outdoor sulfur ratios and predict indoor PM. and black carbon concentrations for eastern massachusetts households. J. Eposure Sci. Environ. Epidemiol. 28, 125–130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- U.S. Department of Energy. DOE Methods for Evaluating Environmental and Waste Management Samples (Method No. RA010); National Technical Information Service: Springfield, VA, 1994. [Google Scholar]
- U.S. EPA. EPA Assessment of Risks from Radon in Homes (EPA 402–R–03–003); U.S. Environmental Protection Agency, Office of Radiation and Indoor Air: Washington, DC, 2003. [Google Scholar]
- U.S. EPA. Indoor Particulate Matter. U.S. Environmental Protection Agency, 2025. https://www.epa.gov (accessed 2026-03-20). [Google Scholar]
- UNSCEAR. Sources and Effects of Ionizing Radiation: UNSCEAR 2000 Report to the General Assembly, with Scientific Annexes. Volume I: Sources; United Nations Scientific Committee on the Effects of Atomic Radiation: New York, 2000. [Google Scholar]
- Vardoulakis S, Giagloglou E, Steinle S, Davis A, Sleeuwenhoek A, Galea KS, Dixon K, Crawford JO, 2020. Indoor exposure to selected air pollutants in the home environment: a systematic review. Int. J. Environ. Res. Public Health 17 (23), 8972. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wallace L, Pellizzari E, Wendel C, 1991. Total volatile organic concentrations in 2700 personal, indoor and outdoor air samples collected in the U.S. EPA TEAM studies. Indoor Air 1 (4), 465–477. [Google Scholar]
- Wang VA, Koutrakis P, Li L, Liu M, Vieira CLZ, Coull BA, Maher EF, Kang CM, Garshick E, 2023. Particle radioactivity from radon decay products and reduced pulmonary function among chronic obstructive pulmonary disease patients. Environ. Res. 216, 114492. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Waring MS, et al. , 2022. A review on reducing indoor particulate matter concentrations from personal–level air filtration intervention under real–world exposure situations. Environ. Int. 158, 106905. [DOI] [PubMed] [Google Scholar]
- WHO. WHO Handbook on Indoor Radon: A Public Health Perspective; World Health Organization: Geneva, 2009. [PubMed] [Google Scholar]
- WHO. More Countries Act against Exposure to Radon and Associated Cancer Risks. World Health Organization, February 4, 2021. https://www.who.int (accessed 2025-04-20). [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Data will be made available on request.
