Particle counting and microbiological air sampling: Results of the simultaneous use of both procedures in different types of hospital rooms

Armadans-Gil, Lluı́s; Garrido, Virginia Rodríguez; Campins-Martí, Magda; Cuesta, Julita Gil; Vaqué‐Rafart, Josep

doi:10.1016/j.eimc.2012.01.005

Cited by 13 publications

(12 citation statements)

References 9 publications

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“…Similarly, a study by Hargreaves et al (2003) showed no statistically significant association between concentrations of fungal spores and particle concentrations in indoor environments of 14 residential suburban houses in Brisbane, Australia, but fungal colony counts correlated well with total number of particles < 2.5 µm. Armadans-Gil et al (2013) showed a relationship between the concentrations of particles ≥ 0.5 µm and particles ≥ 1 µm and airborne fungi in hospital rooms.…”

Section: Discussionmentioning

confidence: 99%

“…A comparison of multiple samplers by Jensen et al (1992) showed that the AGI, along with the Andersen microbial sampler, were the best samplers for collecting airborne bacteria. However, the sampling technique used may influence the results obtained and therefore, the choice of biosampler is critical to generating reproducible and accurate results (Mandal and Brandl, 2011).Very few studies have been performed to assess the comparability of these two methods for bioaerosol monitoring across a variety of indoor environments (Thorne et al, 1992;Armadans-Gil et al, 2013). On the other hand, microbiological air quality monitoring by biosampler techniques is time consuming and labor intensive.…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, several studies investigated the concentration of bioaerosols in various indoor environments (Kalogerakis et al, 2005;Aydogdu et al, 2010;Pegas et al, 2010;Armadans-Gil et al, 2013). However, bioaerosol levels in indoor environments depend on numerous physical and biological factors.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of Airborne Particles in Indoor Environments: Applicability of Particle Counting for Prediction of Bioaerosol Concentrations

Mirhoseini

Nikaeen

Satoh

et al. 2016

Aerosol Air Qual. Res.

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Indoor bioaerosols have recently received considerable interest because of their impact on health. In this study, concentrations of bioaerosols in relation to airborne particulate matter in various indoor environments were investigated. The comparative performance of two common biosamplers, including the single-stage Andersen impactor and the all-glass impinger (AGI) for bioaerosol sampling, was also evaluated. The average levels of airborne bacteria and fungi sampled by Andersen were 516 and 176 colony forming units (CFU) m -3 and by AGI were 163 and 151 CFU m -3 , respectively. The highest bacterial levels were measured in residence apartments. The most predominant bacteria were belonged to Staphylococcus sp. and Arthrobacter sp. The Andersen impactor appeared to yield fungal concentrations that were comparable to the results obtained using the AGI biosampler. Meanwhile, Andersen impactor counts for bacteria were significantly higher than those obtained by AGI. Particle count data generated by the optical particle counter indicated that 95% of airborne particles were < 1 µm in diameter. Statistical analysis revealed a significant correlation between particle counts of PM 1 and concentrations of culturable airborne bacteria measured with the both bioaerosol samplers.Based on these results, the Andersen impactor performed much better than the AGI for sampling airborne bioaerosols in low-contaminated indoor environments. Accurate measurement of microbial concentrations in indoor environments should be performed by bioaerosol monitoring; however, combining particle counting with bioaerosol sampling could provide prompt information about rapid variations of air quality.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Assessment of Airborne Particles in Indoor Environments: Applicability of Particle Counting for Prediction of Bioaerosol Concentrations

Mirhoseini

Nikaeen

Satoh

et al. 2016

Aerosol Air Qual. Res.

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“…In the same way, Armadans-Gil et al founda strong correlation between the number of fungi and the airborne particle counting of 0.5 µm and 1 µm inoperating rooms, burn rooms or hematology rooms, as well as harmacy clean rooms 19 . They took 42 simultaneous samples: 24 in operating rooms, 13 in hematology wards, 3 in Pharmacy Service rooms, and 2 in other procedure rooms.…”

Section: Discussionmentioning

confidence: 75%

Developing a faster way to identify biocontamination in the air of controlled environment rooms with HEPA filters: airborne particle counting

Figuerola‐Tejerina

Hernández-Aceituno

Alemán-Vega

et al. 2020

Sci Rep

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Our aim was to assess whether airborne particle counting is an immediate indicator of biocontamination in controlled environment rooms with HEPA filters in a hospital. A prospective study was carried out in a tertiary care hospital between 2016 and 2018. The study was divided in two periods and the measurements were performed in different controlled environment rooms with HEPA filters. The Environmental Biosafety Criterion (EBC) was defined as the absence of fungal and bacterial contamination. In the training period, the area under the ROC curve (aROC) of airborne particle counting and EBC was calculated for each particle size as well as the cut-off points that optimize the combination of sensitivity and specificity in the association between them. aROC is created by plotting sensitivity against 1-specificity. In the testing period, the cut-off points previously selected were validated. 328 measurements were carried out in the training period and 301 in the testing period. In the training period, an association was found between airborne particle counting and EBC. An aROC = 0.760, 95% Confidence Interval (95% CI) 0.695–0.825 was observed for 0.3 µm particles; an aROC = 0.797 (95% CI 0.734–0.860) for 0.5 µm particles; and an aROC = 0.751 (95% CI 0.673–0.829) for 5 µm particles. The cut-off points that optimized the combination of sensitivity and specificity were 9.0 × 103 for 0.3 µm particles, 3.6 × 103 particles for 0.5 µm, and 3.2 × 102 particles for 5 µm. In the testing period, the previous cut-off points were validated. We conclude that airborne particle counting is a useful, immediate, and preliminary measure to identify the presence of biocontamination in controlled environment rooms with HEPA filters.

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“…Previous researchers have detected a strong correlation between fungal counts and particle counting in the same size range of our work, <1 μm and a weak correlation in the larger size range of most fungi (ie, 5, 10, and 25 μm). 7,8 Some sampling locations had low particle counts but high numbers of fungal colonies and vice versa. Because of the inconsistent correlations, the use of a particle counter for a single point-prevalence sampling as a substitute for fungal activity is inappropriate.…”

Section: Discussionmentioning

confidence: 99%

Does a mobile dust-containment cart reduce the risk of healthcare-associated fungal infections during above-ceiling work?

Buchanan

Thompson

DiBiase

et al. 2020

Infect. Control Hosp. Epidemiol.

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Particle counting and microbiological air sampling: Results of the simultaneous use of both procedures in different types of hospital rooms

Cited by 13 publications

References 9 publications

Assessment of Airborne Particles in Indoor Environments: Applicability of Particle Counting for Prediction of Bioaerosol Concentrations

Assessment of Airborne Particles in Indoor Environments: Applicability of Particle Counting for Prediction of Bioaerosol Concentrations

Developing a faster way to identify biocontamination in the air of controlled environment rooms with HEPA filters: airborne particle counting

Does a mobile dust-containment cart reduce the risk of healthcare-associated fungal infections during above-ceiling work?

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