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Article

Characterization of Indoor Molds after Ajka Red Mud Spill, Hungary

by
Donát Magyar
1,*,
Zsófia Tischner
2,
Bence Szabó
3,
Ágnes Freiler-Nagy
4,
Tamás Papp
5,
Henrietta Allaga
6 and
László Kredics
6
1
National Center for Public Health and Pharmacy, H-1097 Budapest, Hungary
2
Department of Environmental Safety, Institute of Aquaculture and Environmental Safety, Hungarian University of Agriculture and Life Sciences, H-2100 Gödöllő, Hungary
3
Centre for Translational Medicine, Semmelweis University, H-1085 Budapest, Hungary
4
Department of Animal Hygiene, Herd Health and Mobile Clinic, University of Veterinary Medicine, H-1078 Budapest, Hungary
5
HUN-REN-SZTE Pathomechanisms of Fungal Infections Research Group, University of Szeged, H-6726 Szeged, Hungary
6
Department of Microbiology, Faculty of Science and Informatics, University of Szeged, H-6726 Szeged, Hungary
*
Author to whom correspondence should be addressed.
Pathogens 2024, 13(1), 22; https://doi.org/10.3390/pathogens13010022
Submission received: 10 November 2023 / Revised: 20 December 2023 / Accepted: 22 December 2023 / Published: 26 December 2023
(This article belongs to the Special Issue Detection of Indoor Fungi: Part II)
Browse Figures
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Abstract

:
A red mud suspension of ~700,000 m3 was accidentally released from the alumina plant in Ajka, Hungary, on the 4th of October 2010, flooding several buildings in the nearby towns. As there is no information in the literature on the effects of red mud on indoor mold growth, we conducted studies to answer the following question: does the heavy metal content of red mud inhibit fungal colonization in flooded houses? In order to gain knowledge on fungal spectra colonizing surfaces soaked with red mud and on the ability of fungi to grow on them, swabs, tape lifts, and air samples were collected from three case study buildings. A total of 43 fungal taxa were detected. The dominant species were Penicillium spp. on plaster/brick walls, but Aspergillus series Versicolores, Cladosporium, Acremonium, and Scopulariopsis spp. were also present. The level of airborne penicillia was high in all indoor samples. Selected fungal strains were subcultured on 2% MEA with 10−1 and 10−4 dilutions of red mud. The growth rate of most of the strains was not significantly reduced by red mud on the artificial media. The consequences of similar industrial flooding on indoor molds are also discussed in this paper.

Graphical Abstract

1. Introduction

The red mud is a solid waste product of bauxite processing via the Bayer process, which refines bauxite (aluminium ore) into a form of aluminum oxide called alumina with sodium hydroxide [1]. Red mud is a caustic (pH > 12.8–13.0) material consisting of Fe2O3 (40–45%), Al2O3 (10–15%), SiO2 (10–15%), CaO (6–10%), TiO2 (4–5%), and Na2O (5–6%) in hydrated forms [2]. Minor or trace elements in this material can be K, Cr, As, Hg, V, Ni, Ba, Cu, Mn, Pb, Zn, Zr, Y, Sc, Ga, etc., and even 232Th and 238U, which have radioactivity about 10-fold above the soil background [3,4,5,6,7,8]. On the 4th of October 2010 the dam of red mud reservoir number X (ten) of the Ajkai Timföldgyár Zrt. alumina plant collapsed, freeing approximately 700,000 m3 of liquid waste from red mud lakes. Red mud suspension was released as a 1–2 m wave, affecting about 40 km2 of land, the Torna-Marcal river system, and flooding several buildings in the nearby localities, including the village of Kolontár and the town of Devecser, leading to 10 human deaths and extensive property damage. On the 22 November 2010, indoor mold growth was reported by the local agencies.
A review of large literature databases concluded that higher respiratory morbidity and allergic complaints have been observed in occupants of mold-colonized structures [9]. The most important factors influencing fungal growth are moisture, type of substrate, temperature, and exposure time [10]. In relation to moisture, water activity (aw, the amount of available/unbound water in the substrate) is one of the most important factors for indoor mold growth. Indoor fungi vary in their aw requirements, and this ranges from 0.69 to >0.94 [11]. High (>0.90) water activity can be found in building materials if they have been affected by flooding [12]. Mold problems caused by extensive floodings were studied by different authors [9,13,14,15,16,17,18], especially after the hurricanes Katrina, Rita, and Maria [19,20,21,22,23]. These floodings, however, did not contain chemical pollutants at such high concentrations [24] as industrial sludges like red mud. The disaster had fatal consequences for living organisms in soils and rivers [25]. However, the effect of red mud on the indoor fungal spectra seems to be completely unknown. Reviewing the literature on indoor mycology, no similar catastrophes were documented. As about 90 million tons of this waste material are produced globally [26], the risk of further red mud outflows cannot be excluded. One may hypothesize that red mud has a negative impact on indoor fungi, considering its pH and heavy metal content; however, the complexity of the environmental factors—such as substrates and exposure time—makes the outcomes hardly predictable. As the fungal isolates from the Hungarian red mud catastrophe were available in a microbial collection, we aimed to study the effects of red mud on the composition and growth of indoor molds.

2. Materials and Methods

2.1. Microbiological Sampling and Identification

Swab, tape-lift, and air samples were collected on the 21 March 2011 in three case study buildings in Devecser affected by the red mud catastrophe. The first building represented the most common type of family house in Devecser, with plaster/brick walls and tile flooring. The second building was a wooden shed, often used as an annex in Hungary. The third building was a root cellar with brick walls and cob flooring—this type is often used as a wine cellar; the basement of the family house, or as an outbuilding (Figure 1).
Air sampling was carried out with the SAS IAQTM device. A total of 100 L of air were collected from indoor and outdoor places onto 2% Malt Extract Agar (MEA) and Czapek-Yeast Extract Agar media supplemented with 0.1 g L−1 chloramphenicol. The samples were incubated at 25 °C for 5 days. After incubation, the colony-forming units (CFUs) were counted, and the concentrations (CFU m−3) were calculated using the ‘positive hole correction’ method [27,28]. The isolated fungi were subcultured on MEA and identified morphologically [11] by a light microscope (Zeiss Jenaval, Germany) at 600× magnification, then deposited and maintained in the Szeged Microbiology Collection (SZMC) at the University of Szeged, Hungary.
For the purposes of molecular identification, the mycelia of the fungal isolates grown in liquid YEG medium (5 g L−1 glucose, 1 g L−1 yeast extract, and 5 g L−1 KH2PO4 in distilled water) were ground into dust with a mortar and pestle in liquid nitrogen. The extraction of total genomic DNA was carried out with the GenEluteTM Plant Genomic DNA Miniprep Kit (Sigma-Aldrich) according to the protocol provided by the manufacturer. The internal transcribed spacer (ITS) region of the rRNA gene complex, incorporating ITS 1, the 5.8S rRNA gene, and ITS 2, was amplified using primers ITS1 (5′-TCCGTAGGTGAACCTGCGG-3′) and ITS4 (5′-TCCTCCGCTTATTGATATGC-3′) [29]. All amplifications were performed in a MJ MiniTM Personal Thermal Cycler (Bio-Rad Laboratories) with the following temperature profile: 5 min initial denaturation at 94 °C, followed by 35 cycles of 30 s denaturation at 94 °C, 40 s primer annealing at 48 °C, 1 min extension at 72 °C, and a final extension step of 3 min at 72 °C. PCR products were subjected to purification and automatic sequencing with primer ITS4 at Beckman Coulter Genomics, Essex, England. The resulting sequences were deposited in the GenBank database of the National Center for Biotechnology Information (NCBI) under accession numbers OR676943-OR676961. Sequence analysis was carried out by a BLASTN similarity search [30] on the website of NCBI http://www.ncbi.nlm.nih.gov/blast/ (accessed on 31 October 2023).

2.2. Colony Growth Tests

As a complex effect of the red mud on fungi can be assumed due to its heavy metal content, pH, and water activity, we studied these 3 factors separately. The effects of red mud, pH, and water activity on the growth of fungal isolates (N = 15) were tested on different agar media.

2.2.1. Red Mud Tests

To test the effect of red mud on the fungal isolates, a total of 500 g of red mud was collected near the case study buildings in Devecser in March 2011 in order to create special agar media. The chemical content of the red mud sample was analyzed. Trace analysis quality reagents were used for sample preparations: hydrochloric acid (37 m/m%, Aristar) and nitric acid (69 m/m%, Aristar). Mono- and multielement standards purchased from Perkin Elmer Inc. (Shelton, CT, USA) and VWR International Ltd. (Leicestershire, UK) were used for the calibration of the inductively coupled plasma optical emission spectrometer (ICP-OES). To clean the laboratory equipment, 0.15 M hydrochloric acid solution (37 m/m%, Aristar) was used. All the chemicals were obtained from VWR International Ltd. (Leicestershire, UK). Solutions were appropriately diluted by deionized water, which was produced by a Purite Select Fusion 160 BP water purification system (Suez Water Ltd., Thame, UK). The elements were determined by the ICP-OES Avio 550 Max system (Perkin Elmer, Shelton, USA), which works with the following parameters: RF generator at 40 MHz solid state, flat plate plasma technology, free running; RF power at 1300 W; plasma gas flow rate at 12 dm3min−1; auxiliary gas flow rate at 0.2 dm3min−1; nebulizer gas flow rate at 0.7 dm3min−1; nebulizer type Burgener Peek Mira Mist; observation height at 15 mm. Argon gas of 4.8 purity was used for ICP measurements (Messer Hungarogáz Ltd., Budapest, Hungary). The so-called total elemental concentration can be determined by the method of leaching with aqua regia [5,31]. For sample preparation, 0.25 g of sample was weighted into a glass baker, and 3.8 mL of hydrochloric acid and 1.2 mL of nitric acid were added. The solution was evaporated up to almost dry on a steam bath, then the residue was dissolved in 3 mL of 1:1 hydrochloric acid. The solution was filled up to 50 mL in a volumetric flask. The red mud sample was prepared in three parallels. After leaching, the samples were diluted by deionized water and measured by ICP-OES with the addition of 1 mg L−1 yttrium (Y) solution as the initial standard and 0.25 mg L−1 gold (Au) solution for the stabilization of mercury content. The detection limits were calculated as three times the standard deviation of “blank” concentrations.
Red mud was added to MEA in different concentrations at 10−1, 10−2, 10−3, and 10−4 m/m%, having pHs of 7.0, 6.8, 5.2, and 5.2, respectively. Based on the previous growth tests, MEA media with 10−1 and 10−4 red mud concentrations were selected for further studies. To determine the water activity value of the red mud media, a LabTouch-aw instrument (Novasina AG, Lachen, Switzerland) was used.

2.2.2. pH Tests

The effect of pH was tested on salty agar media. Seven pH values (2.2, 3.0, 4.0, 5.0, 6.0, 7.0, and 8.0) were selected to cover the above-mentioned range using McIlvain buffer solutions (mixtures of 0.3 M Na2HPO4 × H2O and 0.1 M citric acid in different proportions) in double-concentrated MEA.

2.2.3. Water Activity Tests

The effect of water activity (aw) was tested by using NaCl in media containing yeast extract agar (YEA, 10 g L−1 glucose, 5 g L−1 KH2PO4, 1 g L−1 NaNO3, 2 g L−1 yeast extract, 1 g L−1 MgSO4 × 7H2O, 15 g L−1 agar in distilled water), according to the data published earlier [32]. Aw was calculated from the osmolality values as described earlier [33]. Eight concentrations of NaCl were tested: 0% NaCl (aw 0.997), 1% NaCl (aw 0.991), 3% NaCl (aw 0.980), 5% NaCl (aw 0.968), 6% NaCl (aw 0.962), 8% NaCl (aw 0.951), 9% NaCl (aw 0.945), and 12% NaCl (aw 0.922).

2.2.4. Measurements and Statistics

For the determination of colony growth rates, 15 fungal strains isolated from water-damaged buildings were selected: eight strains—TD4-TD6; TD8; TD12; TD16; TD22; and TD25—were isolated from buildings flooded by red mud; strain TD9 was collected from the outdoor air in the town after the red mud disaster, while six strains were collected from water-damaged buildings in Hungary; and the curtain of a Hungarian hostel room was used as a control (Table 1). Fungal strains were inoculated centrally into 90 mm Petri plates with 4 mm-diameter plugs cut from the margin of actively growing colonies, then incubated at 25 °C for 5 days. Colony diameters (mm) were measured as a response variable. As fungal metabolism may alter the acidity of the substrate, the pH of the medium was also measured daily. The tests were performed in three replicates. The growth of each replicate of each strain was characterized by their cumulative colony diameter (the sum of the colony diameters on each of the 5 days). The impact of treatment on the colony diameter of fungi was analyzed using the Analysis of Variance (ANOVA) method, with a preset alpha value of 0.05. This robust statistical tool allowed for the assessment of differences among multiple treatment groups, providing valuable insights into the overall treatment effect. To further elucidate the specific variations between individual treatments, a Dunnett’s post-hoc test was subsequently conducted with the measurement data of control treatments (aw control = 0.0% NaCl, pH control = MEA, red mud 10−1 control = red mud 10−4), to which all comparisons were made. This post-hoc analysis enabled a detailed comparison of each treatment group against a control group, pinpointing any treatments exhibiting statistically significant differences in colony diameter. In the case of the red mud agar treatment, where only two levels of treatment were compared, the results of the ANOVA and Dunnett’s test are equivalent, as only one pairwise comparison of two groups was necessary.

3. Results

A total of 43 fungal taxa were detected in the buildings inundated by red mud; 26 taxa were isolated from indoor air, while 21 taxa were collected from surfaces covered by industrial waste residue (Table 2). Intensive mold growth was observed on the wet plaster wall of the living room on the first floor, flooded at a height of 1.5 m, where the dominant taxa were Penicillium section Chrysogena, but Cladosporium, Acremonium, and Scopulariopsis spp. were also detected. Different compositions of fungi were observed in the shed, where wet wood (walls, cupboards, and firewood) was colonized by a more variable mycota (Acremonium, Alternaria, Aspergillus, Cephalotrichum, Chaetomium, Cladosporium, Penicillium, Scopulariopsis, Sepedonium, and Ulocladium spp.). A high number of spores and red mud particles were observed in Psocoptera spp. fecal pellets in surface samples.
The airborne concentration of fungi is given in Table 3. The level of airborne penicillia was high in all samples, especially in the brick building, where the concentration was 1700-fold higher than outdoors. Penicillium sp., section Chrysogena, Penicillium sp., section Penicillium, and Penicillium sp., section Fasciculata, and series Camemberti were the dominant species in the air of the brick building, wooden shed, and cellar, respectively. Cladosporium spp. and Parengyodontium album also had remarkable concentrations in the cellar.
The radial growth test showed statistically significant differences in colony diameters under the different treatment regimes (Table 4, Figure 2, Supplement Figures S1–S43). Salt concentrations (water activity) and pH had a significant effect on all strains based on the results of the ANOVA-s (Table 4). Based on the pairwise comparisons to the control treatments conducted with Dunnett’s tests, two strains (TD8, T401B) tolerated low water activity (aw 0.922), but most of the tested fungi showed poor development on it. Some strains (TD4, TD6, TD9, TD12, TD22, TD25) did not tolerate even moderate aw values (0.954–0.962). High aw was preferred by TD4, TD5, TD6, TD9, TD12, TD22, TD25, and T399 (Figure 2, see Supplementary Material for detailed results of the Dunnett’s test).
Most strains preferred the pH range of 5.0–7.0. Low pH was not tolerated by TD6 (pH ≤ 4.0), as well as T398B, TD8, and TD25 (pH = 2.2), while the other stains tolerated it poorly, showing delayed and reduced growth. Growth of TD4 was inhibited by pH 8 and 7, while this fungus preferred pH 3. TD5 grew well on all pH values (Figure 2, see Supplementary Material for detailed results of the Dunnett’s test).
The resulting chemical composition of the red mud sample is given in Table 5. The main chemical elements of the red mud sample were Fe, Ca, Al, and Na. Converted to oxide, we obtained the following concentrations for the main elements: 37% Fe2O3, 12% Al2O3, 7.6% CaO, and 3.8% Na2O. Elements such as K, Mn, S, P, Cr, Sr, Ni, Pb, Zn, Cu, Co, and Cd were found in minor or trace amounts. The concentrations of Mo, Se, and Hg were under their respective detection limits.
When supplemented with MEA in 10−1 concentration, red mud did not lower the water activity (aw 0.97 ± 0.02, i.e., no drought stress during in vitro conditions). The pH of the red mud media did not change markedly during the incubation period (pH 6.50 ± 0.30 on the 1st day and pH 6.65 ± 0.15 on the 5th day in the 10−1 dilution of red mud).
All tested strains were able to grow on red mud agar, including controls. High red mud concentrations (10−1 dilution of the original sample) significantly affected the growth of 8 strains (Table 4). The combined effect of different culture media to test red mud, its pH, and aw on fungal growth is shown in Figure 2. A weak positive effect of red mud was observed in one case (TD25). A negative effect of red mud was found in seven strains. Delayed initial growth was detected in 3 control strains (T399, SZMC 2725, and T398A). A smaller colony diameter was measured at the end of the incubation period in TD8, TD9, and TD16 and in the control strain T398B. However, in two of them, the negative effect was possibly due to the pH of the red mud media but not its heavy metal content (see Figure 2, TD9, and TD16). High red mud concentrations were tolerated by the remaining strains without any reduction in growth. Based on the growth profile of the individual strains, the 10−4 dilution of red mud had no effect on any strains (Figure 2, see Supplementary Material for detailed results).

4. Discussion

As a result of the tragic industrial accident, aluminum industrial waste residue sludge inundated settlements. The damage first arose from the highly alkaline pH of the red mud, causing severe chemical burns on humans and animals and extirpating the fauna in the contaminated soils and Torna-Marcal river systems [25]. Fungi were probably no exception, and the high pH could also have had a negative effect on them. Most fungal species are considered to germinate and grow well in the weakly acidic to neutral pH range [34]. When spilled, caustic red mud wiped out all detectable forms of life in the Torna river, including aquatic fungi, mainly due to its high pH level (12.8) [35]. However, results suggest that fungi have high colonization capacity or show high resistance to environmental disasters that are as destructive as the red-sludge catastrophe [35]. Although we do not have any information on indoor fungi in the buildings before the disaster, it can be assumed that the indoor hyphomycetes (if any) were killed by the highly alkaline red mud. The saturated building materials left behind by the flood offered a suitable habitat for fungal growth after the dissipation of the acute effects of high pH, possibly by dilution and a progressive carbonation of the sodium hydroxide by atmospheric CO2. Laboratory tests showed rapid carbonation and decreasing pH in an aerated and stirred red mud suspension, reaching pH 7.0 in 3 days (Dr. Zoltán Szabó, personal communication). The time required for neutralization possibly depends on the accessibility of CO2 as well as the porosity and thickness of the red mud. Reports on the delayed mold growth support the hypothesis of a progressive decrease in the initial pH. It cannot be excluded that the pH of the red mud was lowered by fungal activity. Generally, the CO2 produced by the respiration of fungi during metabolism forms carbonic acid when it reacts with water molecules. Laboratory experiments show that Aspergillus niger can decrease the pH of the substrate by excreting acidic metabolites (citric, gluconic, and oxalic acid, the first being the dominant) [36]. By monitoring the changes in the pH values of red mud-based media, Penicillium tricolor RM−10 was found to drastically reduce the pH value of the medium from over 10.0 to 3.0 in 200 h [37].
The chemical composition of the red mud from Ajka was measured by several studies. The results of the sample in the present study are in good agreement with previous findings [5,6]. The toxicity of red mud was related to the release of oxyanion-forming metals and metalloids. The trace metal content of red mud depends on the original source of the bauxitic ore from which the alumina was refined [38]. Governmental agencies stated that the heavy metal concentrations were not considered dangerous for the environment [39]. In red mud samples collected after the catastrophe in Hungary, a relatively low concentration of heavy metals was measured, although still about seven times the levels in normal soil [39]. According to our growth tests, most (10 of 15) fungal strains isolated from building materials covered with red mud tolerated its heavy metal content and grew well in the typical range of pH and water activity characterizing the red mud substrate. Isolates tolerating red mud poorly belonged to Aspergillus sp., series Versicolores (T398B), Penicillium expansum (SZMC 2725), Penicillium section Chrysogena (T08), and Penicillium spp. (T398A, T399). Interestingly, isolates well tolerating red mud were their close relatives, e.g., TD12 (Aspergillus sp., series Versicolores) and TD401A (P. chrysogenum). This suggests that red mud tolerance may be determined by infraspecific genetic factors.
At the time of the spillout, the original pH of the red mud was highly alkaline (pH > 12.8–13.0) [2]. Once the near-neutral pH was reached, the red mud did not inhibit fungal colonization (in some strains, delayed colonization was observed). The growth rate of most of the strains (10/15) was not significantly reduced by red mud on the artificial media, indicating no difference in mold growth in the buildings flooded with or without red mud. The positive effect of red mud was not observed either. Fungi formerly known from the red mud ponds of alumina factories (e.g., Penicillium tricolor, Trichoderma asperellum) [37,40] were not detected in the flooded buildings in Devecser. Control strains (isolated from water-damaged buildings without red mud) also tolerated red mud in our colony growth tests. This suggests that the chemical composition of red mud had a nil or low selective effect on fungi. Predominantly Penicillium section Chrysogena and Aspergillus series Versicolores were detected in the buildings flooded by red mud, which are frequent fungi in water-damaged buildings in Hungary (Donát Magyar, unpublished). Based on the analysis of 28 mold-infested buildings, a trend of higher prevalence of indoor Aspergillus and Penicillium spp. was observed in buildings with previous flooding histories. In the indoor environment, flooding history was found to be the strongest determinant of the prevalence of the above-mentioned genera [16]. In line with our results, Baldrian [41] reports that higher rates of spore germination of Penicillium chrysogenum (P. section Chrysogena) were associated with a high level of water activity, but pH did not have a significant effect [42]. Urík et al. [43] reported fungal growth on red mud, where fungi formed well-distinguished aerial mycelia, except P. chrysogenum, which grew in the form of submerged mycelium. In this experiment, the presence of red mud in the culture medium resulted in lesser sexual and asexual Aspergillus biomass production compared to Penicillium species. Extremely high resistance of Penicillium species has been recognized on highly heavy metal-contaminated substrates [44]. Qu et al. [36] carried out growth tests at a high (5%) pulp density of red mud. The experiment demonstrated reduced fungal growth, possibly because red mud particles covered almost the whole mycelial surface, which possibly formed a thick barrier and concentrated toxic metal ions around it. Such large deposits of red mud were found sparsely in our buildings (behind door casings and the decorative panel of the bathtub), but more frequently, they were present as a thin layer on the surfaces. Apparently, the main environmental factor affecting fungal colonization was the high water content of the building materials. Homes with more than ~1 m of indoor flooding demonstrated higher levels of mold growth compared with homes with little or no flooding [22]. According to other studies, it is important how long flooding water stays in the building [45]. In the current case, however, the red mud tsunami was shortly drained by the rivers. On the other hand, attempts to remove red mud from some houses using high-pressure clean water probably caused more water to enter the buildings’ envelope. The timing of the survey also has an important effect. Sampling a few days after the flooding showed the presence of Aspergillus, Cladosporium, and Penicillium spp. in the dwellings [19,46], whereas a survey performed 4 months after the flooding resulted in Alternaria and Stachybotrys spp. [45]. In our case, both groups of fungi were present, and their occurrence depended on the type of substrate. Brick/plaster walls were dominated by Penicillium, while wooden materials showed a higher diversity of fungi. The higher fungal diversity on indoor wooden materials than on plaster is a common phenomenon [47]. Fungal species present on the walls flooded by red mud belonged to common molds frequently found on water-damaged buildings in Hungary [48]. Apparently, after the red mud disaster, mold colonization of houses was similar to any natural flood.
Post-flood fungal colonization of indoor environments represents a health threat to inhabitants, predominantly due to the inhalation of allergens. Several studies have explored the levels of airborne fungi in water-damaged indoor environments and their role in chronic respiratory diseases like rhinosinusitis and asthma. Measurement of airborne viable fungal concentration is informative to assess indoor air quality in flooded buildings [49], although the observation of visible mold is sufficient to inform the public about the health risk and to take preventive measures [50]. Effective health communication in floods is very important [51,52,53]. Post-flood surveys could help to develop evidence-based public health messages to advise homeowners and flood-affected communities on recovery after such disasters. Hoppe et al. [53] showed that proper post-flood remediation led to improved air quality and lower exposures among residents living in flooded homes. Drying water-damaged material thoroughly and fast enough to prevent mold growth is difficult after large-scale water excursions associated with floods [9], therefore the application of high-performance dehumidifiers is recommended. The use of protective personnel equipment and exposure mitigation techniques among residents in order to prevent respiratory morbidity should be encouraged.
It is worth mentioning that floodings represent multiple health risks (statical damage, waterborne diseases, etc.), of which the above-mentioned negative respiratory effect of molds is only one [54]. As the flooded buildings were considered dangerous after the red mud catastrophe, they were evacuated. Subsequently, it was decided to demolish 225 out of 272 and 35 out of 53 damaged houses in Devecser and Kolontár, respectively [55]. This action hindered further research, but a review of the literature allowed us to hypothesize an additional potential health risk. A toxicological hazard may be posed by acidic (pH 3–4) metabolites of fungi, which can metabolize toxic ions from indoor red mud, including arsenic. An example is the well-known public health scandal of the 1900′s, when arsenic was volatilized as trimethylarsine from pigmented wallpapers due to the metabolic activity of Scopulariopsis brevicaulis [56,57]. The combination of arsenic and Scopulariopsis sp. was also found after the red mud catastrophe; thus, a toxicological risk was theoretically possible and may be considered in a similar disaster with heavy metal exposure.

5. Conclusions

Indoor fungi detected after the red mud catastrophe belonged to species frequently reported from naturally flooded buildings. Our results indicated that only a small number of fungal strains were significantly affected by the red mud on the artificial media, indicating only a slight difference in mold colonization in the buildings flooded with or without red mud. The heavy metal content of red mud had a negligible role in the inhibition of fungal growth or composition, but other aspects, e.g., modification of metabolite production, are still largely unknown. Among the many negative outcomes of flooding combined with chemical pollution, the effects of fungal colonization may be complex and hardly predictable; therefore, extra caution should be used.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/pathogens13010022/s1, Figures S1–S43: Colony growth tests to study the effect of red mud (MEA with 10−1 red mud concentration) and its pH (MEA + McIlvain buffer solutions) and water activity (aw) (YEA + NaCl) on fungal strains.

Author Contributions

Conceptualization, supervision, sample collection, microscopic analyses, writing—original draft preparation: D.M.; chemical analysis of red mud: Á.F.-N.; growth tests: H.A. and Z.T., statistical tests and visualization: B.S., molecular analysis, review, and editing: T.P. and L.K. 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.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Acknowledgments

The authors are grateful to Károly Józsa and János Bobvos for their kind help in sample collection and analysis and to Balázs Beringer, Lívia Darnay, and Flóra Téglás, University of Veterinary Medicine, for the analysis of red mud agar. The authors thank Attila Szűcs (Department of Microbiology, University of Szeged) for curating the sequences and archiving them in the NCBI Nucleotide database, and Csilla Vincze for her help in editing.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. (a) A natural-color image of the area surrounding the red mud spill in Hungary. The alumina plant appears along the right edge of the image, with blue and red reservoirs. The red mud forms a red streak running west from the alumina plant. Photo: NASA Earth Observatory. (b) Streets of Devecser after the red mud disaster (aquarelle painting of the author (D. Magyar) based on the aerial photo of Sándor H. Szabó. The artwork was painted with red mud collected in the town after the catastrophe. (c) Flooded buildings (Photo: D. Magyar). (d) Cross-section and (e) floorplan of the investigated buildings. (f) Firewood covered by red mud. (g) Plaster walls covered by red mud in the investigated buildings. (h) Wardomyces inflatus colony in a surface sample. (i) Spores and red mud particles in Psocoptera pellets. Bar = 10 µm.
Figure 1. (a) A natural-color image of the area surrounding the red mud spill in Hungary. The alumina plant appears along the right edge of the image, with blue and red reservoirs. The red mud forms a red streak running west from the alumina plant. Photo: NASA Earth Observatory. (b) Streets of Devecser after the red mud disaster (aquarelle painting of the author (D. Magyar) based on the aerial photo of Sándor H. Szabó. The artwork was painted with red mud collected in the town after the catastrophe. (c) Flooded buildings (Photo: D. Magyar). (d) Cross-section and (e) floorplan of the investigated buildings. (f) Firewood covered by red mud. (g) Plaster walls covered by red mud in the investigated buildings. (h) Wardomyces inflatus colony in a surface sample. (i) Spores and red mud particles in Psocoptera pellets. Bar = 10 µm.
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Pathogens 13 00022 g002
Figure 2. The effect of red mud, pH, and water activity (aw) on the colony diameters of fungal strains on special media (MEA + 10− 1 red mud concentration, MEA + McIlvain buffer solutions, and YEA + NaCl, respectively) when compared to their growth on the control media (red mud 10−1 control = MEA + red mud 10−4, pH control = MEA, aw control = YEA). Ranges of aw (0.97 ± 0.02) and pH (6.50 ± 0.30) corresponding to MEA with 10−1 red mud concentration are selected. Strains where red mud media had no significant effect are excluded. Significant positive effects are marked with red, orange, and yellow; negative effects are marked with blue. ns = non-significant; nd = no data (not studied). Significant results are marked with ***: p < 0.001, **: p < 0.01, and *: p < 0.05.
Figure 2. The effect of red mud, pH, and water activity (aw) on the colony diameters of fungal strains on special media (MEA + 10− 1 red mud concentration, MEA + McIlvain buffer solutions, and YEA + NaCl, respectively) when compared to their growth on the control media (red mud 10−1 control = MEA + red mud 10−4, pH control = MEA, aw control = YEA). Ranges of aw (0.97 ± 0.02) and pH (6.50 ± 0.30) corresponding to MEA with 10−1 red mud concentration are selected. Strains where red mud media had no significant effect are excluded. Significant positive effects are marked with red, orange, and yellow; negative effects are marked with blue. ns = non-significant; nd = no data (not studied). Significant results are marked with ***: p < 0.001, **: p < 0.01, and *: p < 0.05.
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Table 1. Fungal isolates used as controls in growth tests.
Table 1. Fungal isolates used as controls in growth tests.
TaxaLocationBuilding TypeRoomSample CodeSZMC Number
Penicillium sp.Budapestfamily housebathroommold on wall (swab)T398ASZMC 22652
Aspergillus series VersicoloresBudapestfamily housechildrens’ roomairT398BSZMC 22653
Penicillium sp.Budapestfamily housebedroomsaltpeter under wallpaper (swab)T399SZMC 22654
Penicillium chrysogenumSzentendrefamily housecellarairT401ASZMC 22656
Penicillium sp.Szentendrefamily housecellarairT401BSZMC 22657
Penicillium expansumSzegedcollegebedroomcurtain -SZMC 2725
SZMC: Szeged Microbiology Collection.
Table 2. Fungal taxa detected in buildings inundated by red mud and outdoors.
Table 2. Fungal taxa detected in buildings inundated by red mud and outdoors.
Fungal TaxonSample TypeSampling PointStrain NumberSZMC NumberGenBank Accession
Number (ITS)
T = tapelift
S = swab
A = air		b = brick building
w = wooden shed
c = cellar
o = outdoor
Ascomycota
Acremonium sp. 1–2TAwo
Alternaria sp.Tw
Apiospora arundinisSbTD19SZMC 12680OR676943
Aspergillus sp., section NidulantesAcTD4SZMC 12665OR676944
Aspergillus sp., series VersicoloresAcTD2bSZMC 12663OR676945
Aspergillus sp., series VersicoloresAcTD12SZMC 12673OR676947
Aspergillus sp., series VersicoloresAw
Aspergillus sp., series VersicoloresAoTD9SZMC 12670OR676946
Beauveria sp.AcTD5SZMC 12666OR676948
Beauveria sp.Ao
Botrytis sp.Aw
Cephalotrichum sp.ATcwTD6, -SZMC 12667
Chaetomium sp.Tw
Cladosporium cladosporioides-typeAAAcwo
Cladosporium herbarum-typeAAco
Cladosporium spp.TAbw
Geomyces sp.Tw
Parengyodontium albumAcTD2aSZMC 12662OR676953
Penicillium brevicompactumSbTD14SZMC 12675OR676954
Penicillium buchwaldiiSwTD21SZMC 12682OR676955
Penicillium buchwaldiiSwTD22SZMC 12683OR676956
Penicillium sp., section ChrysogenaAbTD8SZMC 12669OR676958
Penicillium sp., section ChrysogenaSbTD13SZMC 12674OR676959
Penicillium sp., section ChrysogenaSwTD15SZMC 12676OR676960
Penicillium sp., section ChrysogenaAo
Penicillium sp., section Fasciculata, series CamembertiAcTD1SZMC 12661OR676957
Penicillium sp., section PenicilliumAwTD16SZMC 12677OR676961
Penicillium sp. 1Ao
Scopulariopsis sp. ATcTD7
Sepedonium sp.Tw
Ulocladium sp.Tw
Wardomyces inflatusTw
yeast sp. 1Ac
yeast sp. 2Ao
unknown sp. 1Tw
unknown sp. 2AcTD3aSZMC 12664
unknown sp. 3/Penicillium freii?AoTD11SZMC 12672
unknown sp. 4Tw
Alternaria sp./unknown sp. 5SwTD17
unknown sp. 6SbTD20 SZMC 12681
Basidiomycota
Bjerkandera adustaAoTD10SZMC 12671OR676949
Mucoromycota
Mucor circinelloidesSwTD23SZMC 12684OR676950
Mucor circinelloidesSwTD25SZMC 12686OR676951
Mucor hiemalisSwTD18SZMC 12679OR676952
Mucor plumbeusAc
Mucor sp.ScTD24SZMC 12685
Rhizopus stoloniferAw
SZMC: Szeged Microbiology Collection. ITS: internal transcribed spacer.
Table 3. Airborne concentration of the fungal taxa (avg. CFU m−3).
Table 3. Airborne concentration of the fungal taxa (avg. CFU m−3).
Airborne Fungal TaxaOutdoorBrick BuildingCellarWooden Shed
Acremonium spp.5000
Alternaria sp./unknown sp. 515000
Aspergillus sp. section Nidulantes0050
Aspergillus sp., series Versicolores501020
Beauveria sp.5050
Bjerkandera adusta5000
Botrytis spp.0055
Cephalotrichum sp.00100
Cladosporium spp.1354515555
Parengyodontium album00550
Mucor plumbeus0050
Penicillium sp., section Chrysogena15>26,280040
Penicillium sp., section Fasciculata, series Camemberti003750
Penicillium sp., section Penicillium000395
Penicillium sp. 15000
Penicillium spp.400200
Rhizopus stolonifer0005
Scopulariopsis sp.0050
yeast sp. 10050
yeast sp. 25000
yeast spp.25000
unknown sp. 2001000
unknown sp. 3/Penicillium freii?5000
non sporulating spp.1003515
sum275>26,280790535
Table 4. The resulting p-values of the ANOVA-s used on the radial growth of strains. Significant results are marked with ***: p< 0.001, **: p< 0.01, and *: p< 0.05.
Table 4. The resulting p-values of the ANOVA-s used on the radial growth of strains. Significant results are marked with ***: p< 0.001, **: p< 0.01, and *: p< 0.05.
Fungal TaxonFungal StrainWater ActivitypHRed Mud
Penicillium sp.T398A6.91 × 10−19***1.74 × 10−12***1.02 × 10−2*
Aspergillus sp., series VersicoloresT398B1.55 × 10−14***1.47 × 10−13***1.32 × 10−3**
Penicillium sp.T3995.06 × 10−18***5.49 × 10−14***3.88 × 10−4***
Penicillium chrysogenumT401A2.00 × 10−15***4.74 × 10−9***3.74 × 10−1
Penicillium sp.T401B1.70 × 10−15***3.13 × 10−13***1.35 × 10−1
Aspergillus sp., series VersicoloresTD123.73 × 10−26***1.58 × 10−14***1.16 × 10−1
Penicillium sp., section PenicilliumTD164.85 × 10−18***2.68 × 10−13***2.97 × 10−57***
Penicillium buchwaldiiTD226.15 × 10−15***1.27 × 10−11***3.74 × 10−1
Mucor circinelloidesTD252.00 × 10−24***1.18 × 10−13***1.69 × 10−2*
Aspergillus sp. section NidulantesTD42.69 × 10−26***1.62 × 10−20***1.00 × 100
Beauveria sp.TD52.16 × 10−22***3.56 × 10−16***4.42 × 10−1
Cephalotrichum sp.TD63.74 × 10−30***4.35 × 10−23***1.16 × 10−1
Penicillium sp., section ChrysogenaTD81.17 × 10−15***4.74 × 10−16***9.64 × 10−4***
Aspergillus sp., series VersicoloresTD93.83 × 10−22***8.71 × 10−14***1.32 × 10−2*
Penicillium expansumSZMC2725----1.52 × 10−5***
Table 5. Chemical composition of the red mud sample used in growth tests.
Table 5. Chemical composition of the red mud sample used in growth tests.
ElementsConcentrationWavelength of Detection (nm)Limit of Detection (mg/kg)
AlAluminiumg kg−131.8394.4010.5
CaCalciumg kg−154.1317.9332.5
FeIrong kg−1129259.9390.5
MgMagnesiumg kg−17.9279.0775
KPotassiumg kg−10.79766.4910
NaSodiumg kg−113.7330.2375
AsArsenicmg kg−153.3188.9791.25
BaBariummg kg−148.5233.5270.5
CdCadmiummg kg−11.23228.8020.05
CoCobaltmg kg−145.8228.6160.05
CrChromiummg kg−1273267.7160.05
CuCoppermg kg−135.0327.3930.05
HgMercurymg kg−1<0.5194.1680.5
MnManganesemg kg−12376257.610.1
MoMolybdenummg kg−1< 0.5202.0310.5
NiNickelmg kg−1114231.6040.2
PPhosphorusmg kg−1772214.9145
PbLeadmg kg−168.4220.3530.2
SSulfurmg kg−11605181.97510
SeSeleniummg kg−1<5.0196.0265
SrStrontiummg kg−1183407.7710.05
ZnZincmg kg−179.2213.8570.05
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Magyar, D.; Tischner, Z.; Szabó, B.; Freiler-Nagy, Á.; Papp, T.; Allaga, H.; Kredics, L. Characterization of Indoor Molds after Ajka Red Mud Spill, Hungary. Pathogens 2024, 13, 22. https://doi.org/10.3390/pathogens13010022

AMA Style

Magyar D, Tischner Z, Szabó B, Freiler-Nagy Á, Papp T, Allaga H, Kredics L. Characterization of Indoor Molds after Ajka Red Mud Spill, Hungary. Pathogens. 2024; 13(1):22. https://doi.org/10.3390/pathogens13010022

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Magyar, Donát, Zsófia Tischner, Bence Szabó, Ágnes Freiler-Nagy, Tamás Papp, Henrietta Allaga, and László Kredics. 2024. "Characterization of Indoor Molds after Ajka Red Mud Spill, Hungary" Pathogens 13, no. 1: 22. https://doi.org/10.3390/pathogens13010022

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