Aspergillus Section Fumigati in Firefighter Headquarters: History
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Aspergillus species are filamentous fungi commonly observed in different environmental compartments such as soil, water and air, with an emphasis on decaying vegetation, seeds and grains, where they prosper as saprophytes. Aspergillus species are also found in different indoor environments, and some species are considered opportunistic pathogens for humans. Aspergillus conidia can be abundant in outdoor and indoor environments and are easily dispersed in the air depending on the developed activities. Since the conidia are very small, they are easily inhaled and may colonize the upper and lower respiratory tract of exposed individuals. Aspergillus section Fumigati is one of the Aspergillus sections more frequently related to respiratory symptoms due to the small size of the conidia, thermotolerance, its nutritional versatility, and several other virulence factors . Additionally, the development of resistance to antifungal drugs, mainly in this Aspergillus section, is a phenomenon with growing prevalence in Europe, being associated with therapeutic failure and high mortality rates.

  • sampling approach
  • culture-based methods
  • molecular tools
  • azole resistance profile

1. Aspergillus Section Fumigati Distribution

Among all the  firefighter headquarters (FFHs), and concerning Aspergillus genera, the highest value obtained by the Andersen six-stage air samples was observed on FFH5 (3.81%), and the same trend was obtained from the cleaning cloths and filters from the same FFH (0.51% and 7.33%). Concerning Millipore air samples, the FFH10 presented the highest counts (1.87%). Fumigati was the predominant section in Andersen six-stage FFH7 (88.37%), while for Millipore air samples, the highest counts were observed in FFH9 (100%).
In FFH4, the Aspergillus genera was predominant in EDCs (0.55%) and in settled dust (0.65%) samples, while in FFH2, the section Fumigati was the most frequent in EDCs (100%). Aspergillus sp. was identified in mops from FFH1 (0.44%), Fumigati being the predominant section (100%). Similar results were obtained in swabs samples from FFH3, Aspergillus being the most frequent genera (0.08%) and Fumigati being the prevalent section (100%).
Regarding samples collected from all FFHs, the genus Aspergillus was present in almost all matrices, with a prevalence of 1.52% in MEA (Millipore; six-stage Andersen; EDCs; cleaning cloths; mops; settled dust filters; swabs) and 2.20% in DG18 (Millipore; six-stage Andersen; EDCs; cleaning cloths; settled dust filters; swabs), being absent in mops, identification badges and settled dust samples in MEA and identification badges in DG18 (Table 1).
Table 1. Aspergillus sp. distribution in all matrices in MEA and DG18 from all FFHs.

Sample
MEA DG18
Fungi CFU. m−3/m−2/g % Fungi CFU. m3 3/m2/g %

Andersen
Other species
Aspergillus sp.
405,281.8
486
99.9
0.1
Other species
Aspergillus sp.
67,915.2
1040
98.5
1.5

Millipore
Other species
Aspergillus sp.
147,399.8
158.2
99.9
0.1
Other species
Aspergillus sp
50,624.64
393
99.2
0.8
EDC * Other species
Aspergillus sp.
391,345
743.1
99.8
0.2
Other species
Aspergillus sp.
210,245.9
4640.126
97.8
2.2

Cleaning cloths
Other species
Aspergillus sp.
29,500
500
98.3
1.7
Other species
Aspergillus sp.
19,700
1500
92.9
7.1

Mops
Other species
Aspergillus sp.
2600
-
100
-
Other species
Aspergillus sp.
13,500
2500
84.4
15.6

Identification badges
Other species
Aspergillus sp.
45,500
-
100
-
Other species
Aspergillus sp.
32,500
-
100
-

Filters
Other species
Aspergillus sp.
3,679,700
128,500
96.6
3.4
Other species
Aspergillus sp.
2,699,000
52,505
98.1
1.9

Settled dust
Other species
Aspergillus sp.
6496.5
-
100
-
Other species
Aspergillus sp.
2983.9
27
99.1
0.9

Swabs
Other species
Aspergillus sp.
4,562,500
10,000
99.8
0.2
Other species
Aspergillus sp.
4,131,556
100,000
97.6
2.4
* EDC (Electrostatic dust collector) results were presented in CFU.m−2.day−1; MEA—Malt Extract Agar; DG18—Dichloran–Glycerol Agar.
Of all the matrices, the highest counts of Aspergillus sp. were obtained on filters (3.37% MEA, 19.09% DG18) followed by cleaning cloths (1.67% MEA; 7.07% DG18). The matrices where the lowest prevalence was reported were air samples from Millipore (0.10% MEA, 0.77% DG18), six-stage Andersen (0.11% MEA) and settled dust (0.89% DG18) (Figure 1).
Figure 1. Aspergillus sp. distribution in samples on DG18. DG18: Dichloran–Glycerol Agar; EDC: Electrostatic dust collector.
Among the Aspergillus genus, the Fumigati section was predominant in Millipore and EDC samples in MEA (79.77% and 28.57%, respectively), and in swabs and settled dust filters in DG18 (44.76% and 30%, respectively). This section was also observed in six-stage Andersen samples (25.04% MEA; 16.99% DG18) (Figure 2). Among Aspergillus sp., section Fumigati was identified in the Andersen air sampler through all six stages. In FFH8, the section was the only one identified (100% on DG18) in stage 1 (7 µm). In FFH2, despite the lower frequency (4% MEA), the section was reported on the 2nd stage (4.7 µm). The section was the only one found on DG18 in stage 3 (3.1 µm) in FFH7. The same trend was obtained in FFH2 (100% MEA) in stage 4 (2.1 µm) and in FFH6 (100% MEA) in stage 5 (1.1 µm). In addition, FFH5, FFH6 and FFH10 had similar results (100% MEA) in stage 6 (0.65 µm). In stage 6, section Fumigati was the only found in the two culture media from FFH8 (100% MEA and DG18). Concerning the Fumigati section, positive samples (n = 23), the section was more frequently detected in samples performed by the Andersen sampling device (Table S3) and was more frequently detected in DG18 (33.01%) compared to MEA (0.33%) (Table S4).
Figure 2. Distribution of Aspergillus sections per matrice in MEA (Malt Extract Agar) and DG18 (Dichloran–Glycerol Agar).

2. Screening of Azole Resistance

Passive matrices (82 EDC, 102 swabs, 89 filters, 11 settled dust, 67 uniform name tags, 25 cleaning cloths and 14 mops) were extracted as described and screened for antifungal resistance to three commonly used medical azoles. Growth of Aspergillus sp. was observed in Sabouraud (SDA: 1.11%) and in two azole-supplemented SDA media (ITR: 0.11%; VOR: 0.11%), with no growth observed in the POS media. The Fumigati section was the only among Aspergillus sp. observed in three culture media (SDA: 8.9%; ITR: 100%; VOR: 85.3%) (Table 2).
Table 2. Prevalence of Aspergillus section Fumigati among Aspergillus sp. in azole-supplemented SDA media.

Matrices
SDA ITR VOR POS
CFU.m² % CFU.m² % CFU.m² % CFU.m² %
Mops 2500 100% - - - - - -
EDC * 106 4.4% 1062 100% 3503 97.1% - -
Settled dust filters
1500

3.7%

1062

100%

-

-

-

-
Total 4106 8.9% 1562 100% 3503 85.3% - -
* EDC (Electrostatic dust collector) results were presented in CFU.m−2.day−1.; SDA (Sabouraud Dextrose Agar); ITR (Itraconazole); VOR (Voriconazole); POS (Posaconazole).
The relative frequency of azole-resistant Aspergillus section Fumigati isolates among all Aspergillus sp. isolates in the azole resistance screening was 17.8%. Isolates able to grow in 4 mg/L itraconazole and/or 2 mg/L voriconazole (all of them from Aspergillus genus) were identified in three different headquarters, from the following samples: 2 filters in FFH1; 1 EDC in FFH3; and 4 EDCs in FFH6.
Of all screened matrices, Aspergillus sp. was identified only in mops, EDCs, settled dust filters and settled dust. Concerning the Aspergillus sections, the Fumigati section was prevalent in the SDA of 100% in mops, 4.4% in EDCs and 3.7% in filters. Fumigati was the only section found in ITR (filters and EDCs: 100%) and the most predominant in VOR (EDCs: 97.1%) (Table 2).
The results of Aspergillus sp. relative distribution per sample type and culture media are depicted in Figure 3. The Fumigati section was predominant among Aspergillus sp. in mop samples in SDA media, abundant in EDCs and settled dust filter samples, including in ITR and VOR, and absent in settled dust.
Figure 3. Relative distribution of Aspergillus sections per matrix type in SDA and azole-supplemented SDA media (ITR, VOR, POS) regarding total fungal contamination. SDA (Sabouraud Dextrose Agar); ITR (Itraconazole); VOR (Voriconazole); POS (Posaconazole); EDC (Electrostatic dust collector).

4. Discussion

The presence of fungi in an indoor environment is influenced by a wide range of variables, such as human occupancy and their activities, humidity levels, ventilation, environmental characteristics, water infiltrations, building and decoration materials and outdoor air [1][2]. Furthermore, there is strong scientific evidence corroborating the relationship between the building dampness, visible mould, and moisture damage with adverse respiratory health effects [3][4][5][6][7][8][9]. Moisture, nutrients and temperature are proved to be the most important variables that influence the growth and dissemination of fungi on building materials [10]. Thus, the results regarding Aspergillus sp. and Fumigati section contamination in the assessed FFHs were the expected considering the observed FFH conditions (in 8 from the 11 FFHs): leakages, visible mould growth and cracks on the walls/floor.
The identification of the Aspergillus section Fumigati through passive and active sampling has already been reported [3][11][12][13][14][15]. However, other studies developed in Portuguese occupational environments presented a lower prevalence of Aspergillus sp. and, more specifically, section Fumigati [16][17][18][19][12]. Indeed, in primary health care centres the Fumigati section presence was 33.3% on surface swabs and 1.3% in EDCs [16][17]. In one central hospital, Aspergillus sp. presented an overall prevalence of 17.25%, with the Fumigati section only being observed in the vacuum bag [18]; in Portuguese bakeries, the Fumigati section was found on air samples (3.2% on DG18) and in EDCs (8.3% on MEA and 50% on DG18) [19]; in three fitness centres, only four isolates of this section were found in one air sample [12].
In this study, a multiple approach protocol was performed comprising the two sampling methods for a better characterization of contamination in FFHs. Aspergillus counts were revealed to be higher in settled dust filters and cleaning cloths. Previous studies also identified passive sampling as suitable to determine Aspergillus section Fumigati by culture-based methods through sampling of filtering respiratory protective devices and other environmental matrices in settings such as waste-sorting plants, veterinary clinics, dairies, ambulances, and many other indoor and occupational environments [3][17][20][21][9]. In fact, passive sampling is able to characterize contamination levels over a wider period of time, compared to air sampling [22][13]. Thus, higher fungal counts and greater fungal diversity are expected by passive sampling.
The Aspergillus section Fumigati was predominant in swabs and settled dust filters in DG18, and in EDCs in MEA, suggesting that reliable matrices for Aspergillus section Fumigati exposure assessment were chosen [3]. The significant differences in fungal counts between passive and active sampling highlight the advantages associated with a multi-approach protocol that comprises active and passive sampling simultaneously, overcoming the limitations associated with each sampling method [3][23][16][17][24][18][19][25][26][20][27].
Regardless of the lower prevalence of Aspergillus sp. in air samples performed by Millipore and six-stage Andersen, the Fumigati section was predominant in Millipore air samples in MEA. Furthermore, the underestimation of microbial contamination collected by impaction devices (Andersen six-stage and Millipore sampling devices), due to cell damage during sampling process, has already been stated [21][28][29]. However, the six-stage Andersen sampler allows the hazardous range where the Fumigati section has lung penetrability to be identified [30][21][29]. Indeed, in four of the assessed FFHs, section Fumigati at stage 6 (0.65 µm) of reaching alveoli was observed. This has the potential to cause respiratory diseases (inflammation activation) by activating macrophages, B cells and T cells [31]. The same concern was raised in a study held in Portuguese ambulances used in emergency clinical services [21].
Aspergillus section Fumigati was more frequent in DG18 compared to MEA counts. Despite the recommendation of using MEA for aerobiological studies in a Portuguese regulatory framework dedicated to the assessment of indoor air quality (IAQ) (25APA 2010), DG18 is an efficient option due to its restrictive character, inhibiting the development of fastidious fungal species [22]. The results of some fungal overgrowth on the MEA plates may have influenced the development of Aspergillus sp. and, more specifically, of the Fumigati section, due to chemical competition [32], highlighting the use of both culture media for a wider fungal characterization [3][23][16][17][24][18][19][25][26][20][27]. Sample dilution prior to inoculation (to avoid the excessive development of fast-growing fungi on media plates) was not performed due to the limitations of this option. Indeed, the removal of rare types of organisms leads to differences in species richness and diversity, decreasing competition among microorganisms, causing a probable overgrowth in some species that were not as prevalent in the original community [33].
The higher mean rank values obtained for total fungal contamination, Aspergillus sp. counts, and Aspergillus section Fumigati with SDA and ITR+VOR media, compared to MEA or DG18, suggest Sabouraud is a more suitable media for the recovery of fungi and Aspergillus sp. The use of Sabouraud as a standard medium to assess outdoor airborne fungi by air sampling was generally supported in a recent study on media comparison [34], and has also been supported in clinical applications [35]. However, Saboraud enhanced Chrysonilia sitophila in other performed assessments [16][21].
The ability to use protection against respiratory devices or filters as a sampling approach depends on the features of the assessed setting, activities developed and duration of use, e.g., mop sampling depends on cleaning procedures. The EDC device, on the other hand, allows for the recovery of fungal contamination in a consistent and standardized manner (regarding retention material and collection period), and it is a low-cost, low-maintenance sampling strategy that has been increasingly used in the assessment of occupational exposure to fungal burden [36] and in indoor air quality studies [22][9].
The fact that, among Aspergillus sections, only the Fumigati section was found in azole-supplemented media, confirms the presence of fungi potentially resistant to azoles in FFHs. If this azole-resistance phenotype is further confirmed by molecular analysis or antifungal susceptibility testing, it might represent a health risk for workers in this setting, especially in the FFHs where contamination by Aspergillus section Fumigati was higher. This health risk arises from the fact that azole-resistant fungi might cause invasive infections, especially in immunocompromised individuals, which are of difficult control due to the limited treatment options [37][3][38][36]. In addition to being the etiological agent of invasive aspergillosis, the Fumigati section is also responsible for more common respiratory symptoms such as asthma, allergic sinusitis, cough and bronchial hyperresponsiveness [39].
Culture-based methods allowed the Aspergillus section Fumigati to be identified in various matrices (settled dust filters, swabs, EDCs and air samples from Millipore and Andersen), confirming the results of molecular detection in EDCs and filters. The use of qPCR further enabled the Fumigati section to be detected in additional matrices (identification badges, mops and cleaning cloths) where it was undetectable by culture. This may be associated with the absence of fungal viability due to an impediment to grow in culture (e.g., due to competition for nutrients), while the molecular tools enable even non-viable microorganisms to be identified [40]. Failure to detect the Aspergillus section Fumigati by qPCR in swabs and air samples (in contrast to the results obtained by culture) may be associated with ineffective DNA extraction in sample processing, or the presence of inhibitors (such as particles from air samples), misleading the results [3][41][42]. Without diminishing the advantages of molecular analysis, classical culture-based methods are still necessary to assess the viability of pathogenic microorganisms related to their infectivity potential. Indeed, a microorganism’s viability is associated to the potential of inflammatory and cytotoxic responses and, consequently, the infection potential. Therefore, molecular tools must be used in parallel with classic methods [3][43].
Correlation was found in this study between total fungal counts, Aspergillus sp. counts and Fumigati section counts not following the trend previously found in health care environments [16]. This means that the measures used to avoid fungal contamination in this setting are also effective concerning Aspergillus contamination. Nevertheless, Aspergillus genera assessment should always be performed, as specific Aspergillus sections (Flavi, Fumigati, Circumdati and Nidulantes) are indicators of harmful fungal contamination when found on air samples and require intervention, as referred to by the American Industrial Hygiene Association and Portuguese regulatory framework concerning IAQ [1][44].
Thus, considering the lack of scientific information in this specific environment, further studies are needed to characterize the overall exposure to fungal contamination and other microbiological agents, as well as regarding the most suitable corrective and preventive measures used to avoid exposure. Additionally, further research on azole-resistance profile must be conducted to better estimate the risk of exposure to resistant Aspergillus section Fumigati in this setting, namely, screening azole resistance at selective conditions for Aspergillus section Fumigati, molecular analysis of resistance mutations, and antifungal susceptibility testing.

This entry is adapted from the peer-reviewed paper 10.3390/microorganisms9102112

References

  1. WHO. World Health Organisation Guidelines for Indoor Air Quality: Dampness and Mould. Available online: https://www.who.int/publications/i/item/9789289041683 (accessed on 1 September 2021).
  2. APA. Qualidade do Ar em Espaços Interiores Um Guia Técnico Agência Portuguesa do Ambiente. Available online: https://www.voltimum.pt/artigos/biblioteca-de-flipbooks/qualidade-do-ar-em (accessed on 1 September 2021).
  3. Viegas, C.; Aranha Caetano, L.; Viegas, S. Occupational exposure to Aspergillus section Fumigati: Tackling the knowledge gap in Portugal. Environ. Res. 2021, 194.
  4. Strachan, D.P. Damp housing and childhood asthma: Validation of reporting of symptoms. BMJ 1988, 297, 1223–1226.
  5. Platt, S.D.; Martin, C.J.; Hunt, S.M.; Lewis, C.W. Damp housing, mould growth, and symptomatic health state. BMJ 1989, 298, 1673–1678.
  6. Dales, R.E.; Burnett, R.; Zwanenburg, H. Adverse health effects among adults exposed to home dampness and molds. Am. Rev. Respir. Dis. 1991, 143, 505–509.
  7. Mendell, M.J.; Mirer, A.G.; Cheung, K.; Tong, M.; Douwes, J. Respiratory and Allergic Health Effects of Dampness, Mold, and Dampness-Related Agents: A Review of the Epidemiologic Evidence. Environ. Health. Perspect. 2011, 119, 748–756.
  8. Kanchongkittiphon, W.; Mendell, M.J.; Gaffin, J.M.; Wang, G.; Phipatanakul, W. Indoor environmental exposures and exacerbation of asthma: An update to the 2000 review by the Institute of Medicine. Environ. Health Perspect. 2015, 123, 6–20.
  9. Adams, R.; Leppänen, H.; Karvonen, A.; Jacobs, J.; Borràs-Santos, A.; Valkonen, M.; Krop, E.; Haverinen-Shaughnessy, U.; Huttunen, K.; Zock, J.-P.; et al. Microbial exposures in moisture-damaged schools and associations with respiratory symptoms in students: A multi-country environmental exposure study. Indoor Air 2021.
  10. Rajasekar, A.; Balasubramanian, R. Assessment of airborne bacteria and fungi in food courts. Build. Environ. 2011, 46, 2081–2087.
  11. Alberti, C.; Bouakline, A.; Ribaud, P.; Lacroix, C.; Rousselot, P.; Leblanc, T.; Derouin, F.; Aspergillus group. Relationship between environmental fungal contamination and the incidence of invasive aspergillosis in haematology patients. J. Hosp. Infect. 2001, 48, 198–206.
  12. Ramos, C.A.; Viegas, C.; Verde, S.C.; Wolterbeek, H.T.; Almeida, S.M. Characterizing the fungal and bacterial microflora and concentrations in fitness centres. Indoor Built Environ. 2016, 25, 872–882.
  13. Reponen, T. Sampling for Microbial Determinations. In Exposure to Microbiological Agents in Indoor and Occupational Environments, 1st ed.; Viegas, C., Viegas, S., Gomes, A.Q., Täubel, M., Sabino, R., Eds.; Springer: Dordrecht, The Netherlands, 2017; pp. 85–96.
  14. Cox, J.; Mbareche, H.; Lindsley, W.G.; Duchaine, C. Field sampling of indoor bioaerosols. Aerosol Sci. Technol. 2020, 54, 572–584.
  15. Gonçalves, P.; Melo, A.; Dias, M.; Almeida, B.; Caetano, L.A.; Veríssimo, C.; Viegas, C.; Sabino, R. Azole-resistant Aspergillus fumigatus harboring the tr34/l98h mutation: First report in Portugal in environmental samples. Microorganisms 2021, 9, 57.
  16. Viegas, C.; Almeida, B.; Gomes, A.Q.; Carolino, E.; Caetano, L.A. Aspergillus spp. prevalence in Primary Health Care Centres: Assessment by a novel multi-approach sampling protocol. Environ Res. 2019, 175, 133–141.
  17. Viegas, C.; Almeida, B.; Monteiro, A.; Aranha Caetano, L.; Carolino, E.; Quintal-Gomes, A.; Twarużek, M.; Kosicki, R.; Marchand, G.; Viegas, S. Bioburden in healthcare centers: Is the compliance with Portuguese legislation enough to prevent and control infection? Build. Environ. 2019, 160.
  18. Viegas, C.; Almeida, B.; Monteiro, A.; Paciência, I.; Rufo, J.; Aguiar, L.; Lage, B.; Gonçalves, L.M.D.; Aranha Caetano, L.; Carolino, E.; et al. Exposure assessment in one central Hospital: A multi-approach protocol to achieve an accurate risk characterization. Environ. Res. 2019, 181, 108947.
  19. Viegas, C.; Faria, T.; Caetano, L.A.; Carolino, E.; Quintal-Gomes, A.; Twaruzek, M.; Kosicki, R.; Viegas, S. Characterization of Occupational Exposure to Fungal Burden in Portuguese Bakeries. Microorganisms 2019, 7, 234.
  20. Viegas, C.; Dias, M.; Almeida, B.; Carolino, E.; Quintal Gomes, A.; Viegas, S. Aspergillus spp. burden on filtering respiratory protective devices. Is there an occupational health concern? Air Qual. Atmos. Health 2020, 13.
  21. Viegas, C.; Sousa, P.; Dias, M.; Caetano, L.A.; Ribeiro, E.; Carolino, E.; Twarużek, M.; Kosicki, R.; Viegas, S. Bioburden contamination and Staphylococcus aureus colonization associated with firefighter’s ambulances. Environ. Res. 2021, 197.
  22. Viegas, C.; Dias, M.; Almeida, B.; Vicente, E.; Candeias, C.; Aranha Caetano, L.; Carolino, E.; Alves, C. Loading Rates of Dust and Bioburden in Dwellings in an Inland City of Southern Europe. Atmosphere 2021, 12, 378.
  23. Viegas, C.; Faria, T.; Aranha Caetano, L.; Carolino, E.; Quintal Gomes, A.; Viegas, S. Aspergillus spp. prevalence in different occupational settings. J. Occup. Environ. Hyg. 2017, 14, 771–785.
  24. Viegas, C.; Almeida, B.; Monteiro, A.; Paciência, I.; Cavaleiro, J.R.; Carolino, E.; Quintal-Gomes, A.; Twarużek, M.; Kosicki, R.; Marchand, G.; et al. Settled dust assessment in clinical environment: Useful for the evaluation of a wider bioburden spectrum. Int. J. Environ. Health Res. 2019, 26, 1–19.
  25. Viegas, C.; Almeida, B.; Caetano, L.A.; Afanou, A.; Straumfors, A.; Veríssimo, C.; Gonçalves, P.; Sabino, R. Algorithm to assess the presence of Aspergillus fumigatus resistant strains: The case of Norwegian sawmills. Int. J. Environ. Health Res. 2020, 19, 1–9.
  26. Viegas, C.; Caetano, L.A.; Cox, J.; Korkalainen, M.; Haines, S.R.; Dannemiller, K.C.; Viegas, S.; Reponen, T. The effects of waste sorting in environmental microbiome, THP-1 cell viability and inflammatory responses. Environ. Res. 2020, 185.
  27. Viegas, C.; Faria, T.; Cebola de Oliveira, A.; Aranha Caetano, L.; Carolino, E.; Quintal-Gomes, A.; Twarużek, M.; Kosicki, R.; Soszczyńska, E.; Viegas, S. A new approach to assess fungal contamination and mycotoxins occupational exposure in forklifts drivers from waste sorting. Mycotoxin Res. 2017, 33, 285–295.
  28. Chowdhary, A.; Kathuria, S.; Xu, J.; Meis, J.F. Emergence of Azole-Resistant Aspergillus fumigatus Strains due to Agricultural Azole Use Creates an Increasing Threat to Human Health. PLoS Pathog. 2013, 9.
  29. Mao, Y.; Ding, P.; Wang, Y.; Ding, C.; Wu, L.; Zheng, P.; Zhang, X.; Lia, X.; Wang, L.; Suna, Z. Comparison of culturable antibiotic-resistant bacteria in polluted and non-polluted air in Beijing, China. Environ. Int. 2019, 131, 104936.
  30. Andersen, A. New sampler for the collection, sizing and enumeration of viable airborne particles. J. Bacteriol. 1958, 76, 471–484.
  31. Richardson, M.; Bowyer, P.; Sabino, R. The human lung and Aspergillus: You are what you breathe in? Med. Mycol. 2019, 57, S145–S154.
  32. Viegas, C.; Faria, T.; dos Santos, M.; Carolino, E.; Gomes, A.Q.; Sabino, R.; Viegas, S. Fungal burden in waste industry: An occupational risk to be solved. Environ. Monit. Assess. 2015, 187.
  33. Franklin, R.B.; Garland, J.L.; Bolster, C.H.; Mills, A.L. Impact of dilution on microbial community structure and functional potential: Comparison of numerical simulations and batch culture experiments. Appl. Environ. Microbiol. 2001, 67, 702–712.
  34. Black, W.D. A comparison of several media types and basic techniques used to assess outdoor airborne fungi in Melbourne. Australia. PLoS ONE 2020, 15.
  35. Nagano, Y.; Millar, B.C.; Goldsmith, C.E.; Walker, J.M.; Elborn, J.S.; Rendall, J.; Moore, J.E. Development of selective media for the isolation of yeasts and filamentous fungi from the sputum of adult patients with cystic fibrosis (CF). J. Cyst Fibros. 2008, 7, 566–572.
  36. Viegas, C.; Dias, M.; Carolino, E.; Sabino, R. Culture Media and Sampling Collection Method for Aspergillus spp. Assessment: Tackling the Gap between Recommendations and the Scientific Evidence. Atmosphere 2021, 12, 23.
  37. Sabino, R. Exposure to Fungi in Health Care Facilities. Ref. Modul. Life Sci. 2020, 1–10.
  38. Stop neglecting fungi. Nat. Microbiol. 2017, 2.
  39. Bush, R.K.; Portnoy, J.M.; Saxon, A.; Terr, A.I.; Wood, R.A. The medical effects of mold exposure. J. Allergy Clin. Immunol. 2006, 117, 326–333.
  40. Franchitti, E.; Pascale, E.; Fea, E.; Anedda, E.; Traversi, D. Methods for bioaerosol characterization: Limits and perspectives for human health risk assessment in organicwaste treatment. Atmosphere 2020, 11, 452.
  41. McDevitt, J.J.; Lees, P.S.J.; Merz, W.G.; Schwab, K.J. Inhibition of quantitative PCR analysis of fungal conidia associated with indoor air particulate matter. Aerobiologia 2007, 23, 35–45.
  42. Mensah-Attipoe, J.; Taubel, M. Analysis Approaches for Fungi in Indoor Environmental Assessments. In Exposure to Microbiological Agents in Indoor and Occupational Environments, 1st ed.; Viegas, C., Viegas, S., Gomes, A.Q., Täubel, M., Sabino, R., Eds.; Springer: Dordrecht, The Netherlands, 2017; pp. 109–126.
  43. Yoo, K.; Lee, T.K.; Choi, E.J.; Yang, J.; Shukla, S.K.; Hwang, S.; Park, J. Molecular approaches for the detection and monitoring of microbial communities in bioaerosols: A review. J. Environ. Sci. 2016, 51, 234–247.
  44. Hung, L.L.; Miller, J.D.; Dillon, K.H. Field Guide for the Determination of Biological Contaminants in Environmental Samples, 2nd ed.; AIHA: Fairfax, VA, USA, 2005.
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