Correlation of fungi and endotoxin with PM2.5 and meteorological parameters in atmosphere of Sao Paulo, Brazil

Degobbi, Cristiane; Lopes, Fernanda D.T.Q.S.; Carvalho-Oliveira, Regiani; Muñoz, Julián E.; Saldiva, Paulo Hilário Nascimento

doi:10.1016/j.atmosenv.2010.12.005

Cited by 57 publications

(33 citation statements)

References 49 publications

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“…Different types of bacteria require different optimal temperature ranges to grow; thus, the relationships are nonlinear as explained by the growth-permissible temperature ranges (Heitzer et al, 1991;Macher, 1999;Pommerville, 2011). However, temperature still revealed a strong positive association with endotoxin concentrations, and this result is consistent with that reported in a study in Brazil that also indicated a positive association of temperature with endotoxin concentrations (Degobbi et al, 2011).…”

Section: Discussionsupporting

confidence: 82%

“…The varying results reported in various studies could be due to the varying sampling methods, meteorological factors, seasons, and potential spatiotemporal variations (Morgenstern et al, 2005;Nilsson et al, 2011;Cheng et al, 2012;Haas et al, 2013;Bari et al, 2014). However, certain studies have not reported significant associations between the concentrations of endotoxins and PM by using multiple regression analyses (Menetrez et al, 2007;Degobbi et al, 2011;Strak et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

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Spatiotemporal Distributions and Land-Use Regression Models of Ambient Bacteria and Endotoxins in the Greater Taipei Area

Kallawicha

Lung

Chuang

et al. 2015

Aerosol Air Qual. Res.

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Ambient bacteria and endotoxins are components of bioaerosols, which are abundant in ambient air. Exposure to ambient bacteria and endotoxins has been associated with respiratory symptoms. We monitored the spatiotemporal distributions of ambient bioaerosols in the Greater Taipei area by using multisite sampling and developed regression models for ambient bacterial and endotoxin concentrations. Forty-four representative sampling sites were selected from the Greater Taipei area. Samples were collected in 4 seasons throughout a 1-y study period. Ambient bacteria were quantified using acridine orange staining, and endotoxins were analyzed using Limulus amebocyte lysate assays. Land-use types and major determinants of the bioaerosols were used to develop regression models. Ambient bacteria ranged from < limit of detection (LOD) to 1.68 × 10 5 cells/m 3 , whereas endotoxins ranged from < LOD to 20.62 EU/m 3 . Significant seasonal variations were observed for both bioaerosols, with the highest concentrations observed in spring. Regression analyses revealed temperature, relative humidity, and particulate matter as the major predictors of ambient bacteria and endotoxins. No land-use type was correlated with any of the bioaerosols. The number of schools and gas stations was positively associated with both bioaerosols. The leave-one-out cross-validation R 2 of the final models for ambient bacteria and endotoxins were 0.11 and 0.31, respectively. The results of this study revealed high spatiotemporal variations in the distributions of ambient bacteria and endotoxins in the Greater Taipei area. Additional potential predictors should be included in future studies to develop better predictive models for ambient bacteria and endotoxins.

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Section: Discussionsupporting

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Distributions and Land-Use Regression Models of Ambient Bacteria and Endotoxins in the Greater Taipei Area

Kallawicha

Lung

Chuang

et al. 2015

Aerosol Air Qual. Res.

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“…and Penicillium spp. which are relatively similar to the fungi collected from different indoor environment [9] such as campus [22], schools [22], house [2] and hospitals [25]. A study done in Singapore found that the most common fungi present in day care centers were Penicillium, Aspergillus, Geotrichum, and Cladosporium [35].…”

Section: Airborne Fungi Generamentioning

confidence: 99%

Indoor Airborne Bacteria And Fungi Atdifferent Background Area In Nurseries And Day Care Centres Environments

Shahidah¹,

S.²,

S.³

et al. 2017

J. CleanWAS

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Indoor air quality (IAQ), nursery, day care centre, pathogenic, airborne bacteria and fungi.Respiratory symptoms among children cases increased dramatically was believe due to poor indoor air quality. Nursery and day care centre (DCC) appear to be the site of exposure and transmission of airborne microorganism between children. This study aims to assess the relation between the colony forming unit level of biological contaminant (bacteria and fungi) between urban and suburban location correlate with indoor air quality (IAQ) parameters. Besides, the other aims for this study were to identify the types of an airborne pathogenic microbial contaminant in the nursery and DCC. The airborne microbial sampling was done by using Surface Air System Indoor air Quality (SAS IAQ), which taken at the end of June until early August 2015. This study presents the diversity of indoor airborne bacteria and fungi in the nursery and DCC demonstrated in relation to occupancy, location, and ventilation system. Correlation between bacteria and fungi counts and the other IAQ parameters (temperature, RH, CO2, and CO) was unable to be studied due to instruments limitation. Counts of airborne bacteria and fungi were measured as colony forming units (CFU) grown on agar plates. CFU counts were compared by sampling sessions and sampling locations (babies room, a kindergarten room, and control room). Fluctuations in bacteria and fungi counts in such conditions were observed. Three groups of culturable bacteria were identified: Grampositive cocci, Gram-positive bacilli, and Gram-negative bacteria while five genera of fungi successfully identified were Aspergillus, Penicillium, Rhizopus, MucorandChrysonilia. Certain bacteria isolated from this study were identified at a species level by 16s rRNA amplification including S. haemolyticus, A. baumannii, P. stutzeri, M. osloensis, M. luteus, B. subtilis, Rothia spp., and Roseomonasspp. Overall findings suggest that IAQ level in investigated sites was at poor level due to high bacteria and fungi concentrations with isolation of some opportunistic pathogenic microorganism. This pathogenic microorganism will cause adverse health reaction especially to young children. This study will provide a baseline of hygienic indoor air quality in nursery and day care centre.

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“…Particulate matters of biological origin may contribute 15% to 30% of the total aerosol particles in the atmosphere (Matthias-Maser et al, 1995;Ruprecht, 2005). Fungal spores, pollens, endotoxins, and viruses represent a major part of the biological particles and may elicit diseases such as allergies, asthma, airway obstruction, and inflammatory reaction (Bush and Portnoy, 2001;Degobbi et al, 2011;Arteaga et al, 2015). Due to limited understanding of the variation in composition and dynamics of microorganisms in PM 2.5 at different air quality levels, a critical knowledge gap on the effect of PM 2.5 on human health exists.…”

Section: Introductionmentioning

confidence: 99%

Variation of Bacterial and Fungal Community Structures in PM2.5 Collected during the 2014 APEC Summit Periods

Lù

et al. 2018

Aerosol Air Qual. Res.

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The biological fraction of PM 2.5 is considered to be a major cause of various allergies and respiratory diseases. Nonetheless, differences in bacterial and fungal communities in PM 2.5 under different air quality conditions are not well known. In the present study, we collected PM 2.5 samples from October 15, 2014 to November 12, 2014 when several successive "AsiaPacific Economic Cooperation (APEC) blue" days were recorded, following the implementation of strict emission control measures to ensure the APEC summit held during November 5-11, 2014 in Beijing. This study analyzed bacteria and fungi in PM 2.5 samples through rRNA gene high-throughput sequencing. In total, 690 genera of bacteria and 229 genera of fungi were detected. The variations of species richness and community diversity of bacteria and fungi in PM 2.5 were not affected significantly by the emission control measures adopted during the summit and different air quality levels. The bacterial and fungal community structures in PM 2.5 collected during the summit exhibited over 83.7% and 79.6% similarities respectively, with PM 2.5 collected from air graded as "good" quality (AQI ≤ 100) before the APEC summit. Bacteria and fungi in PM 2.5 samples collected at AQI levels between 101-200 and 201-300 before the APEC summit had more than 73.4% and 76.3% community structure similarity, respectively, with PM 2.5 samples collected at AQI ≤ 100. The difference between day and night PM 2.5 samples was very small for bacterial and fungal community structures. Furthermore, most of the inhalable bacteria and fungi were nonpathogenic and no a clear relationship between air quality levels and pathogens was observed. Our results showed that bacteria and fungi in PM 2.5 were less affected by emission control measures and different air quality levels. However, due to the limited number of samples, the relationship between air pollution levels and airborne bacteria and fungi still needs further study.

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Correlation of fungi and endotoxin with PM2.5 and meteorological parameters in atmosphere of Sao Paulo, Brazil

Cited by 57 publications

References 49 publications

Spatiotemporal Distributions and Land-Use Regression Models of Ambient Bacteria and Endotoxins in the Greater Taipei Area

Spatiotemporal Distributions and Land-Use Regression Models of Ambient Bacteria and Endotoxins in the Greater Taipei Area

Indoor Airborne Bacteria And Fungi Atdifferent Background Area In Nurseries And Day Care Centres Environments

Variation of Bacterial and Fungal Community Structures in PM2.5 Collected during the 2014 APEC Summit Periods

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