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Applied and Environmental Microbiology, July 2007, p. 4211-4217, Vol. 73, No. 13
0099-2240/07/$08.00+0 doi:10.1128/AEM.00343-07
Copyright © 2007, American Society for Microbiology. All Rights Reserved.

Lund University, Department of Laboratory Medicine, Division of Medical Microbiology, Lund, Sweden,1 Institute of Agricultural and Food Biotechnology, Department of Food Analysis, 36 Rakowiecka St., 02-532 Warsaw, Poland,2 TEKOMO Byggnadskvalitet AB, Hammargatan 11 A, 235 32 Vellinge, Sweden,3 AIMEX AB, Erik Sandbergs Gata 24, 16934 Solna, Sweden4
Received 12 February 2007/ Accepted 1 May 2007
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S. chartarum and A. versicolor are two commonly encountered molds in buildings with moisture problems (9, 12, 15, 28) and are prominent mycotoxin producers. Thin-layer chromatography, high-performance liquid chromatography (HPLC), and enzyme-linked immunosorbent assay are techniques that have been applied for detecting some of these mycotoxins, e.g., in ceiling materials (8, 10, 15), in paper materials (19, 26, 29), in a gypsum board liner (2), in airborne dust (4, 6), and in airborne particles in a home where an infant developed pulmonary hemorrhage (35). However, many have preferred to use mass spectrometry (MS)-based methods, especially tandem MS (MSMS), because of the high analytical specificity offered. Thus, HPLC-MSMS was used to demonstrate SATs and STRG in mold-affected interior materials and carpet dust from buildings with a history of water damage (9, 33, 34). Gas chromatography (GC)-MS and GC-MSMS were used to detect verrucarol (VER) and trichodermol (TRID), hydrolysis products of, respectively, macrocyclic trichothecenes and trichodermin of S. chartarum, in mold-affected building materials (3, 14, 27) and settled house dust (3).
In the present study, we used GC-MSMS for determining the amounts of VER and TRID and HPLC-MSMS for determining the amounts of SATG, SATH, and STRG in samples from water-damaged indoor environments. The goal was to apply state-of-the-art MS technology to direct analysis of building materials, settled dust, and cultivated airborne fungal particles for some mycotoxins mainly produced by S. chartarum and A. versicolor. We demonstrate that, by applying these complementary MS methods, mycotoxins may be detected not only in building materials, but also in cultivable airborne fungal particles and settled house dust in damp buildings.
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Building material and dust samples.
Pieces (4 to 6 cm2) of paper (n = 39) collected from gypsum boards at 31 different locations were analyzed (Table 1). Stachybotrys was identified in all gypsum paper samples by conventional microscopic examination (31). Other materials with visible mold growth that were sampled were wood (n = 8), concrete (n = 3), paper (n = 6), masonite, linoleum, carpet, and tile (n = 7 altogether). These samples were found to be positive for Stachybotrys spp. and/or Aspergillus spp. by using a combination of microscopy and culture (on malt extract agar) identification.
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TABLE 1. Mycotoxins detected in the building material and dust samples studieda
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TABLE 2. Mycotoxin contents in the settled dust samples studied
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TABLE 3. Mycotoxin contents in cultures of the airborne dust samples studied
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0.4 g), and building material samples (0.3 to 3 g) were prepared for chemical analysis as described elsewhere (3). In brief, the samples were covered with methanol (3 to 5 ml) in 10-ml glass test tubes with Teflon-lined screw caps and stored in the dark for 72 h at room temperature. After the extraction, the samples were centrifuged (3,200 rpm, 5 min) and the supernatants were decanted into new tubes. One-hundred-microliter amounts of sterile water were added, and the mixtures were extracted twice with 2 ml heptane. The methanolic phases were evaporated under a gentle stream of nitrogen, dissolved in dichloromethane, and applied to polyethyleneimine (1 ml)-bonded silica gel columns (JT Baker, Phillipsburg, NJ) that had been preconditioned with 4 ml each of methanol and dichloromethane. The samples were eluted with 5 ml dichloromethane, evaporated under nitrogen, redissolved in 1 ml methanol, filtered through 0.45-µm Millex syringe filters (polytetrafluoroethylene; Millipore, Bedford, MA) into new Teflon-capped analysis vials, and kept at 20°C until HPLC analysis or further preparation.
HPLC-MS.
A ProStar HPLC/1200L triple-quadrupole MSMS system (Varian Inc., Walnut Creek, CA) was used. Twenty microliters of each sample was injected, using an autosampler (model 410; Varian), into a Polaris 5-µM C18-A 150- by 2.0-mm RP-18 column equipped with a MetaGuard 2.0-mm Polaris 5-µM C18-A precolumn (Varian). Reserpine was used as the internal standard. The column was maintained at 25°C, and the flow rate was 0.2 ml/min. A supplement of 10 mM ammonium acetate and 20 µM sodium acetate was added to the methanol-aqueous buffer to increase the cationization in the electrospray ionization mode. An initial methanol concentration of 20% methanol was held for 1 min, after which it was raised linearly (9 min) to 70% and held for 8 min before it was again raised linearly (1 min) to 95% and held for 5 min. At the end of the run, the concentration of methanol was linearly lowered again (1 min) to 20% and kept there for 12 min for stabilization. Ten microliters of methanol was injected in between samples to minimize cross-contamination. Nitrogen from a nitrogen generator (Domnick Hunter, Ltd., Tyne and Wear, United Kingdom) was used as both the nebulizing gas (50 lb/in2) and the drying gas (20 lb/in2), and argonium (1.75 mTorr) was used for collision-induced dissociation. The capillary temperature was 310°C, the capillary voltage 40 V, the needle voltage 5,000 V, and the electron multiplier voltage 2,000 V. The MS spectra were collected as centroid data from m/z 100 to 800, with a scan time of 0.5 s and a scan width of 0.7 s.
The MS was tuned through direct injection of polypropylene glycol tuning solution with a syringe, according to the manufacturer's protocol. Standards and reserpine were included in each batch of samples analyzed in order to assure instrument performance. Two calibration curves were constructed by injecting STRG (n = 3) (0, 25, 50, 100, 250, 500, and 1,000 pg and 0.5, 1, 2.5, 5, 10, and 25 ng) together with reserpine (1 and 10 ng). The coefficient of variation was calculated by dividing the standard deviation by the mean peak area ratio of the STRG standard (1-ng injections) to the internal standard (n = 9), and the recovery value was calculated by dividing the mean peak area from 1-ng injections of the STRG standards (n = 9) that had passed the sample preparation procedure by the corresponding STRG standards that did not pass this procedure.
GC-MS.
The sample preparation was performed essentially as described previously (3). In brief, 200 µl of the methanolic sample extracts were mixed with 500 pg of internal standard (1,12-dodecanediol), evaporated, hydrolyzed in 0.2 M methanolic NaOH, and extracted with water and dichloromethane. The organic phases were transferred to new tubes, evaporated to dryness, and placed in a desiccator overnight. The dried extracts were then subjected to derivatization by adding 80 µl of acetonitrile-toluene (1:6, vol/vol) and 20 µl of HFBI followed by heating at 70°C for 60 min. Then, samples were left standing in an excess of derivatizing agent at room temperature for a minimum of 4 h before analysis. The derivatives were analyzed by using MSMS in negative-ion chemical ionization mode, at an energy of 70 eV and an ion source temperature of 150°C, and with ammonia as the ionization gas (0.4 kPa). Sample volumes of 1 to 2 µl were injected in the splitless mode. The injector syringe was washed five times with acetone and toluene, before and after, respectively, each sample injection. A mix of HFBI and acetone (1:3, vol/vol) was injected in between samples to eliminate any trace of un- or semiderivatized VER/TRID. The performance of the instrument was assured by including TRID/VER standards and 1,12-dodecanediol (internal standard) in each batch of samples analyzed. Two calibration curves were constructed by injecting VER/TRID (n = 3) (0, 25, 50, 100, 250, 500, and 1,000 pg and 0.5, 1, 2.5, 5, 10, and 25 ng) together with the internal standard (250 pg and 2.5 ng). The coefficient of variation was calculated by dividing the standard deviation by the mean peak area ratio of the VER/TRID standard to the internal standard (n = 9), and the recovery value was calculated by dividing the mean peak area from 1-ng injections of VER/TRID standards (n = 9) that had passed the sample preparation procedure by corresponding VER/TRID standards that did not pass this procedure.
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4). The peak area ratio of the STRG standard/internal standard (reserpine) versus the amounts of STRG standard followed the equations y = 0.0675x + 0.714 (R2 = 0.992) for the 0- to 1,000-pg amounts injected and y = 0.0035x + 1.742 (R2 = 0.992) for the 0.5 to 25 ng injected; the recovery value was 53% ± 6%, and the coefficient of variation was 11.2%. The SATG mass spectrum showed dominant ions of m/z 1,111 [2M + Na]+, 567 [M + Na]+, and 545 [M + H]+. Ion m/z 567 was chosen for fragmentation in MSMS, and its product ions m/z 263 and m/z 231 were monitored. The dominant ions in the SATH mass spectrum were m/z = 1,079 [2M + Na]+, 551 [M + Na]+, and 529 [M + H]+. Ion m/z 551 was used for fragmentation in MSMS, and its product ions of m/z 321 and 303 were monitored. SATH and SATG could not be quantified, since the purity of these crude mycotoxin preparations was unknown. For reserpine, m/z 609 [M]+ was used as the parent ion in MSMS and its product ion m/z 195 was monitored. |
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TABLE 4. Optimized electrospray ionization MS parameters for the studied mycotoxins and the internal standard
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FIG. 1. Positive electrospray MS (left) and MSMS (right) spectra of the STRG, SATG, and SATH standards.
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Building material and dust samples.
The mycotoxin analysis results (with amounts adjusted according to recovery values) are summarized in Tables 1 to 3. In the building material samples, the amounts of STRG were 1.9 to 1,100 pg/mg (mean, 110; median, 14); of TRID, 3.4 to 18,000 pg/mg (mean, 660; median, 5.9); and of VER, 7.7 to 600 pg/mg (mean, 16; median, 25). The amounts of STRG (17 pg/mg; 130 pg/cm2), TRID (2.4 to 3.4 pg/mg; 330 to 1,900 pg/cm2), and VER (19 to 43 pg/mg; 250 to 2,900 pg/cm2) in settled dust samples and cultured agar strips, respectively, from RCS samplings are given in Tables 2 and 3.
STRG was detected in 25 of the 62 building material samples studied. It was usually found together with two or more other mycotoxins; in fact, it was the sole mycotoxin found in only seven samples. In particular, STRG was frequently found together with TRID and never with VER, SATG, or SATH in the absence of TRID. A representative chromatogram demonstrating STRG in a paper sample is shown in Fig. 2a. One settled dust sample collected from the top of a doorframe (Fig. 2b) and one dust sample collected with an RCS were positive for STRG.
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FIG. 2. HPLC-positive electrospray MSMS chromatograms demonstrating the presence of STRG (m/z 325 > m/z 310 and m/z 325 > m/z 281) in a paper sample culture positive (>30,000 CFU/m2) for Aspergillus spp., including A. versicolor (a), and in a settled dust sample from the top of a doorframe (b).
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FIG. 3. HPLC-positive electrospray MSMS chromatograms demonstrating the presence of SATG (m/z 567 > m/z 231 and m/z 567 > m/z 263) and SATH (m/z 551 > m/z 303 and m/z 551 > m/z 321) in a gypsum board paper sample.
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TRID also was rarely the sole mycotoxin found in the building material samples. In total, TRID was found in 35 of the 62 building materials studied, in two of the eight settled dust samples (one of the latter samples, collected from the top of a doorframe, has been described previously [3]), and in four of the eight cultured dust samples. Representative chromatograms demonstrating the presence of VER and TRID in building material samples and settled and cultured dust samples are shown in Fig. 4.
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FIG. 4. GC-MSMS (negative-ion chemical ionization) chromatograms of TRID-HFB and VER-HFB2 (indicated by arrows in panel b) in a gypsum board paper sample (a), a settled dust sample collected on a cotton swab (b, left), and a cultured RCS-obtained air sample (b, right).
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Our results demonstrate that molds in these sampled indoor environments regularly produce mycotoxins, since 45 of the total of 62 building material samples (73%) were positive for at least one of the studied mycotoxins. By comparison, Toumi et al. (34) found STRG in 19 of 79 (24%) crude building material samples, plus VER, SATG, and SATH in 5 samples, by using HPLC-ion trap MSMS analysis; the recovery of STRG was in accordance with our results. One reason for the high prevalence of mycotoxins found in our study may be the high detection sensitivity offered by triple-quadrupole mass spectrometers in MSMS mode. This type of instrument offers ready detection of subpicogram amounts of STRG, VER, and TRID (3). While the analysis of underivatized STRG by using HPLC-MSMS is straightforward, we initially experienced several problems with the GC-MSMS analyses. These problems (carryover and ghost peak formation), particularly noticeable for VER, were occurring despite frequent syringe washings, changes of solvents and columns, and cleaning of the MS, and were found to depend largely upon adsorption of non- or semiderivatized VER in the GC injector. The problems were overcome by regular injections of an HFBI-acetone (1:3, vol/vol) mixture, by avoiding washing the preparations with water after HFBI derivatization (to prevent degradation of the derivative), and by injecting a maximum 1-µl sample in order to minimize the risk of injector contamination (unpublished results). The GC-MS hydrolysis product method (where VER and TRID are detected) has previously been successfully applied to screen authentic water-damaged building material samples for S. chartarum mycotoxins (3, 12, 27).
In most, but not all, cases, the natural producer of a certain mycotoxin was identified in the sample by cultivation and/or microscopy; this was also found in other studies (34). However, Stachybotrys was not identified in a small number of building material samples that were positive for VER and/or TRID, viz., in 1 of 28 gypsum papers, in one of two wood-based materials, and in one linoleum sample. Likewise, Aspergillus spp. were not identified in all STRG-positive samples, viz., in 4 of 18 gypsum board papers, and in two of five wood-based materials (Table 1).
The CFU counts and mycotoxin contents from the RCS samplings did not correlate, probably because only a small fraction of the molds may have been cultivable. The composition of colonizers and secondary metabolite production may vary over time, even within a single isolate (16), probably due to fluctuations in water activity, nutrition, and coexisting microbial flora. The amounts of mycotoxins present may also have been below the detection limits in certain instances, due to low recovery amounts or instrument limitations.
The five gypsum paper materials that were positive for SATG and SATH were also positive for VER. In addition, VER was identified in an additional 24 building material samples plus two dust samples. It is likely that the detection sensitivity for VER is higher than for SATG or SATH. Also, although VER is thought to derive mainly from SATG and SATH (8, 19), VER is a hydrolysis product also of other macrocyclic trichothecenes and could therefore theoretically represent other SATs or verrucarins, etc.
The STRG/TRID mycotoxin combination was found in six of the building material samples; notably, STRG was never found together with VER only. It can be speculated whether A. versicolor has a capability of, or benefits from, growing together with or succeeding S. chartarum strains of chemotype A, rather than of chemotype S, due to the strongly cytotoxic mycotoxins produced by the latter. As recent reports have shown synergistic effects in cytotoxicity and apoptosis mechanisms in mouse macrophages challenged by spore extracts from cocultures of A. versicolor and S. chartarum (25), it is also interesting to speculate whether the two chemotypes play different roles in these mechanisms.
In this study, HPLC-MSMS and GC-MSMS have proven to be complementary analytical tools for detecting some of the most potent mycotoxins produced by molds frequently encountered in damp indoor environments. These methods are so sensitive that STRG, VER, and TRID can be detected not only in mold-affected building materials, but also in house dust. In fact, to the best of our knowledge, this is the first report on the use of MSMS for demonstrating mycotoxins in dust settled on surfaces above floor level in damp buildings. The methods used are important tools for further research aiming to shed some light on the role of molds in building-associated illnesses. In the future, we plan to expand our battery of mycotoxin analytes and to evaluate the health relevance of mycotoxins in indoor environments. Such work is in progress in our laboratory.
The Development Fund of the Swedish Construction Industry (SBUF), the Swedish Research Council for Environment, Agricultural Sciences, and Spatial Planning (FORMAS), the Swedish Asthma and Allergy Association's Research Foundation, and Queen Silvia's Jubilee Fund for Research on Children and Children's Disabilities are gratefully acknowledged for financial support.
Published ahead of print on 4 May 2007. ![]()
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