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Background:
Communication

The Influence of Carpeting, Human Activity and Number of Beds on Airborne Fungi Concentration in Hotel Bedrooms

by
Patricio Zapata-Morín
1,
Raúl Reyna-Martinez
2,
Nydia Orue
1,
Rogelio de J. Treviño-Rangel
3,
Mariana Elizondo-Zertuche
3,
Juan Adame-Rodríguez
1,
Yair Becerra-Siller
1,
Verónica Sánchez-Ovalle
1 and
Efrén Robledo-Leal
1,*
1
Department of Microbiology and Immunology, School of Biological Sciences, Universidad Autónoma de Nuevo León, San Nicolás de los Garza 66455, Nuevo León, Mexico
2
Applied Microbiology Department, School of Chemical Sciences, Universidad Autónoma de Nuevo León, San Nicolás de los Garza 66455, Nuevo León, Mexico
3
Department of Microbiology, School of Medicine, Universidad Autónoma de Nuevo León, Monterrey 64460, Nuevo León, Mexico
*
Author to whom correspondence should be addressed.
Appl. Sci. 2021, 11(15), 6773; https://doi.org/10.3390/app11156773
Submission received: 30 June 2021 / Revised: 19 July 2021 / Accepted: 20 July 2021 / Published: 23 July 2021
(This article belongs to the Special Issue Environmental Health and Microbiology)
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Abstract

:

Featured Application

The results of the present work can be applied in the design of more effective (regarding both health and financial costs) sanitation protocols for indoor areas.

Abstract

In urban environments, people spend about 90% of their time indoors, where strong indicators of air-borne contaminants have been found. Currently, there are no reports on the fungal presence and distribution in the air of hotel bedrooms. In this study, we assessed the presence of airborne fungi in bedrooms from three hotels and correlated with room characteristics. We sampled 100 L (L) of air from hotels in Nuevo León, Mexico, then fungi colony forming units (CFU) were measured and identification was made based on morphological features. Variables considered were the presence of carpet, number of beds, cleaning status for the room and floor number. Penicillium, Cladosporium and Aspergillus exhibited the highest CFU concentration and frequency. A slight tendency was observed towards lower fungi concentrations when rooms had been cleaned before sampling. Statistical differences were found between rooms with carpet vs. no carpet, and one vs. two beds. Furthermore, a correlation between floor number and fungi concentration was observed with correspondence to the hotels’ room assignment protocol. These findings offer new variables to take into consideration when designing and implementing preventive or corrective sanitization procedures to improve their efficiency and could be relevant for hotel bedrooms as well as any other type of room.

1. Introduction

Indoor air quality is especially important for human health since people spend about 90% of their time indoors in modern urban environments. Public health scientists have found that closed spaces may be heavily charged with air-borne contaminants [1,2].
Bioaerosols are a main component of indoor airborne contaminants, which comprise microorganisms and can be generated from various natural and anthropogenic sources. Microbes can grow on a variety of items and due to their small size and mass, they get easily transported, persisting in the air for a long time. Sources of indoor bioaerosols include outdoor air, building materials, furnishings, human occupants, animals, plants and organic waste [3,4,5,6].
Indoor fungi are common and important allergens, which also represent a potential risk of infection, both superficial and invasive, especially in immunocompromised individuals, and mycotoxin production is another contributory factor to the health risks posed by the fungal species belonging to this family [7]. A great amount of information has been published about indoor fungi, however, there are currently no official standards to regulate the presence of fungi on indoor air, mostly due to the lack of correlation between precise levels of fungal concentrations and health effects. In addition, there is no gold standard method to identify and quantify airborne fungus [3,8,9].
Few studies have been conducted in Mexico concerning the quantification of indoor fungi. In 2011 Ponce-Caballero et al., collected air samples from thirty domestic homes houses in Merida, Yucatan, Mexico, found the presence of the genera Cladosporium, Fusarium, Acremonium and Alternaria in nearly 50% of the samples [10]. Another study was conducted in a hospital from Xalapa City in Mexico, in which different surfaces were sampled, showing the predominant presence of genera from Cladosporium, Microsporum, Aspergillus and Penicillium; they concluded that all areas of the hospital have pathogenic fungi and these were collected from surfaces, not air, highlighting the lack of information regarding air fungi in our country [11]. In the present study, we evaluated for the first time, three hotels in Nuevo León, Mexico, aiming for a better understanding of the indoor fungal presence in this type of building and generating advice for each hotel’s staff afterwards, both related to the customers safety and the health of the workers.

2. Materials and Methods

2.1. Area of Study

Three hotels located at Monterrey, Mexico were evaluated for their indoor air fungal concentrations in guest rooms only. For confidentiality purposes, they are referred to as hotel 1, 2 and 3; their characteristics are shown in Table 1.
For hotels 1, 2 and 3, 80, 84, and 35 rooms were samples, respectively. Variables included in this study were the presence of carpet, number of beds (1 vs. 2), housekeeping status of the room at the time of sampling (cleaned vs. not cleaned) and floor number of the room. Air conditioning was present in all of the rooms without any other ventilation mechanism (e.g., ceiling fans, opening windows) so this was not considered as a variable. The aim was to find possible correlations between these variables and the concentration of fungal propagules in air, to discuss causality.

2.2. Sampling

Air samples were taken using an AirTest® device (LCB food safety, Boz, France). Following a previous report [8] a total of 100 L of air was impacted on Petri dishes containing Rose bengal-malt extract-agar (RBME; BD, USA). The sampling device was located at 1.5 m above the ground and all samples were replicated 2 times. All samples were taken during the same season and between 14:00 and 18:00 h.

2.3. Microbiological Analysis

From day 5 of incubation, CFU were quantified, and microscopic structures were identified based on morphological features including colony features (color, size, shape and hyphae), and microscopic characteristics (hyphal diameter, presence of septa, conidial size, shape and disposition, etc.) [12,13,14]. Non sporulating fungi after 30 days were reported as sterile mycelium.

2.4. Statistical Analysis

Wilcoxon signed-rank test was applied because fungi CFU values were not normally distributed. Linear regression was performed to evaluate the positive or negative relationship among variables, prior to such analysis a log10 transformation was performed on the fungi count to normalize the values. Shapiro–Wilk normality was performed for validating the normal distribution property of the variable. As a final step, a Pearson correlation matrix test was performed on the variables to validate the results of the linear regression. A p-value less than 0.05 was considered statistically significant.

3. Results

Table 2 shows the global results regarding fungal concentration; the highest fungal CFU counts were observed in hotel 1, while hotel 3 showed the lowest. Penicillium exhibited both the highest CFU concentration and frequency (i.e., presence in air independently of concentration) in hotels 1 and 2, while for hotel 3 Cladosporium notoriously exhibited the highest concentration but Aspergillus was the most frequently isolated genus (Table 3).
Statistical differences were found when data were grouped according to the presence of carpet and the number of beds, with higher fungi concentration when carpet was present and when the room had two beds (Figure 1A,C). Regarding the housekeeping status of the room, there was a slight tendency towards lower concentrations of fungi in air when rooms had been already cleaned at the time of sampling, but no statistical difference was found (Figure 1B). According to Wilcoxon signed-rank test, linear regression considering both conditions explains 29% of the variability. Rooms with one vs. two beds seemed to increase 0.2 log10 units of fungi count and the presence of carpet vs. no carpet in the room present an increase of 0.6 log10 units of fungi count. Pearson correlation matrix showed a medium strength of association (r = 0.31) among the number of beds and fungi count, and a large strength of association (r = 0.51) among carpet and no-carpet rooms and fungi count. In both cases there is a positive correlation, which provides a validation with what was shown in the linear regression analysis.
Is it noteworthy that the fungal proportion of fungal genera changed noticeably when data was grouped according to the analyzed variables (Figure 2). It is even more interesting that, for variables where a significant difference was found (i.e., presence of carpet and number of beds), Penicillium is the most abundant genus in the higher spore concentration condition. The explanation for this could be that rooms with factors allowing the endogenic growth of Penicillium will have a significant increase of spores in the air due to the abundant sporulation exhibited by this genus.
Finally, when we asked the hotel staff about guest distribution guidelines, two scenarios were found: hotels 1 and 2 assigned rooms starting from the bottom of the building, and hotel 3 assigned rooms starting from the top of the building. When we analyzed the fungal concentration considering these two alternatives, a positive correlation was found for each case, where higher fungal concentrations were found in the lower floors for hotels 1 and 2, and in the upper floors for hotel 3 (Figure 1D,E), corresponding to a higher spore concentration on floors with increased human activity.

4. Discussion and Conclusions

Fungal propagules are present in outdoor air throughout the year and thus, it is the main reason why it is impossible not to have spores inside houses and buildings. To our knowledge, no formal reports have been published in Mexico regarding fungal concentration in the air of hotel rooms. However, most Mexican studies on airborne fungi show Penicillium, Cladosporium and Aspergillus as the dominant genera in the air inside various types of buildings, with which our results agree [15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32].
Once spores from the outside are introduced to an indoor environment, regardless of vehicle, there are many factors that will influence their survival and multiplication, including temperature, moisture and substrate availability. Aside from these, there are many building-related factors that may influence the fungal presence in indoor air and it is important to understand them in order to reduce human exposure and the related health risks [33,34].
For scenarios where water related damages or visible mold are not an issue, the presence of carpets in floors and/or walls is a factor well known for its positive correlation with higher fungal concentration [35,36], thus it is not surprising to find a significantly higher concentration of fungi in rooms where carpet is present in this study.
Human activity inside a closed space is a factor of variation in fungal concentration, even with a difference of hours [37]. Because of this, a difference between the concentration in cleaned and not cleaned rooms was expected, considering the activity generated by the housekeeping procedures. The difference found was not statistically significant and showed that despite recent human activity in them, cleaned rooms showed an overall trend towards a lower fungal concentration. On the other hand, a clear correlation can be made for the trends found between the method for room assignment and fungal concentration. This could be simply caused by the increased activity in those rooms, comprising more people coming and going with the consequent increase in dust [38].
The most surprising finding was the difference found between rooms with one and two beds; previous reports have not addressed something as specific and have even concluded that fungi in air cannot be reliably predicted by home characteristics [39,40]. It has been shown that mattresses along with carpets in non-problem dwellings and without moisture damage can provide a habitat with enough moisture to support fungal growth despite the lack of an obvious moisture source [41]. Based on this, having two beds vs. one bed allows for an increased surface for particle deposition/multiplication, which would explain a higher fungal concentration in air, especially if the room has the same dimensions. Two beds would suppose a higher human activity, which would result in more particles resuspended. If our results are supported by further studies, the number of beds become highly relevant not only for hotels but for homes and hospitals as well, in the prediction of fungal presence in air. These findings could be useful in updating protocols for cleaning or sanitization, or designing new protocols aiming for more efficient strategies that consider room characteristics. The detailed data we collected can be found in supplements material.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/app11156773/s1. The detailed data we collected can be found in supplementary.xlsx.

Author Contributions

Conceptualization, E.R.-L. and P.Z.-M.; methodology, R.R.-M., Y.B.-S. and V.S.-O.; formal analysis, P.Z.-M.; investigation, R.d.J.T.-R. and M.E.-Z.; resources, N.O. and J.A.-R.; data curation, E.R.-L. and P.Z.-M.; writing—original draft preparation, R.R.-M.; writing—review and editing, E.R.-L., R.d.J.T.-R. and M.E.-Z.; supervision, E.R.-L. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Acknowledgments

We want to acknowledge the support of the hotels’ management and their disposition in collaborating by opening their installations to our research. Also, we appreciate the moral support given by Mariano and Santino in completing this study.

Conflicts of Interest

The authors declare no conflict of interest.

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Applsci 11 06773 g001 550
Figure 1. Statistical comparison of fungal CFU per M3 among selected variables: rooms with carpet vs. rooms without carpet (A); rooms already cleaned vs. rooms not yet cleaned (B); rooms with one vs. two beds (C); floor number (D,E).
Figure 1. Statistical comparison of fungal CFU per M3 among selected variables: rooms with carpet vs. rooms without carpet (A); rooms already cleaned vs. rooms not yet cleaned (B); rooms with one vs. two beds (C); floor number (D,E).
Applsci 11 06773 g001
Applsci 11 06773 g002 550
Figure 2. Fungi distribution (%) according to variable grouping (due to legibility reasons, the seven most abundant genera are shown).
Figure 2. Fungi distribution (%) according to variable grouping (due to legibility reasons, the seven most abundant genera are shown).
Applsci 11 06773 g002
Table
Table 1. General characteristics of hotels included in this study.
Table 1. General characteristics of hotels included in this study.
HotelNo. of FloorsNo. of BedroomsRating (stars)Location
191993Downtown Monterrey
2171914Downtown Monterrey
34160415km south of downtown, Monterrey
Table
Table 2. Total CFU count (per m3 of air) by genus and their proportional concentration.
Table 2. Total CFU count (per m3 of air) by genus and their proportional concentration.
FungiCFU Count (%)
Hotel 1Hotel 2Hotel 3
Penicillium sp.1,817 (40.3)718 (31.1)464 (3.0)
Cladosporium sp.773 (17.1)626 (27.1)11,017 (70.8)
Neoscytalidium sp.645 (14.3)333 (14.4)
Aspergillus sp.560 (12.4)118 (5.1)3065 (19.7)
Fusarium sp.275 (6.1)241 (10.4)
Sterile mycelium169 (3.7)108 (4.7)221 (1.4)
Yeasts113 (2.5)125 (5.4)556 (3.6)
Colletotrichum sp.55 (1.2)16 (0.7)
Rhizopus sp.42 (0.9)2 (0.1)
Alternaria sp.32 (0.7)11 (0.5)210 (1.4)
Paecilomyces sp.21 (0.5)1 (<0.1)10 (0.1)
Syncephalastrum sp.5 (0.1)
Geotrichum sp.1 (<0.1)2 (0.1)
Curvularia sp. 2 (0.1)
Trichoderma sp.1 (<0.1)4 (0.2)
Bipolaris sp.2 (<0.1) 10 (0.1)
Ulocladium sp.1 (<0.1)1 (<0.1)
Scopulariopsis sp.2 (<0.1)
Nodulisporium sp. 1 (<0.1)
Table
Table 3. Frequencies of fungi regardless of their concentration (Number of rooms where fungi appeared/total of rooms).
Table 3. Frequencies of fungi regardless of their concentration (Number of rooms where fungi appeared/total of rooms).
FungiHotel 1Hotel 2Hotel 3
Penicillium sp.0.950.9120.429
Aspergillus sp.0.9380.7130.829
Cladosporium sp.0.7250.8120.771
Neoscytalidium sp.0.6130.525
Sterile mycelium0.750.6630.286
Fusarium sp.0.50.525
Yeasts0.2880.2750.543
Alternaria sp.0.1880.1250.343
Colletotrichum sp.0.150.175
Paecilomyces sp.0.1380.0250.029
Syncephalastrum sp.0.062
Rhizopus sp.0.0380.025
Trichoderma sp.0.0380.05
Bipolaris sp.0.025 0.029
Geotrichum sp.0.0130.013
Ulocladium sp.0.0130.013
Scopulariopsis sp.0.013
Curvularia sp. 0.025
Nodulisporium sp. 0.013
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Zapata-Morín, P.; Reyna-Martinez, R.; Orue, N.; de J. Treviño-Rangel, R.; Elizondo-Zertuche, M.; Adame-Rodríguez, J.; Becerra-Siller, Y.; Sánchez-Ovalle, V.; Robledo-Leal, E. The Influence of Carpeting, Human Activity and Number of Beds on Airborne Fungi Concentration in Hotel Bedrooms. Appl. Sci. 2021, 11, 6773. https://doi.org/10.3390/app11156773

AMA Style

Zapata-Morín P, Reyna-Martinez R, Orue N, de J. Treviño-Rangel R, Elizondo-Zertuche M, Adame-Rodríguez J, Becerra-Siller Y, Sánchez-Ovalle V, Robledo-Leal E. The Influence of Carpeting, Human Activity and Number of Beds on Airborne Fungi Concentration in Hotel Bedrooms. Applied Sciences. 2021; 11(15):6773. https://doi.org/10.3390/app11156773

Chicago/Turabian Style

Zapata-Morín, Patricio, Raúl Reyna-Martinez, Nydia Orue, Rogelio de J. Treviño-Rangel, Mariana Elizondo-Zertuche, Juan Adame-Rodríguez, Yair Becerra-Siller, Verónica Sánchez-Ovalle, and Efrén Robledo-Leal. 2021. "The Influence of Carpeting, Human Activity and Number of Beds on Airborne Fungi Concentration in Hotel Bedrooms" Applied Sciences 11, no. 15: 6773. https://doi.org/10.3390/app11156773

APA Style

Zapata-Morín, P., Reyna-Martinez, R., Orue, N., de J. Treviño-Rangel, R., Elizondo-Zertuche, M., Adame-Rodríguez, J., Becerra-Siller, Y., Sánchez-Ovalle, V., & Robledo-Leal, E. (2021). The Influence of Carpeting, Human Activity and Number of Beds on Airborne Fungi Concentration in Hotel Bedrooms. Applied Sciences, 11(15), 6773. https://doi.org/10.3390/app11156773

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