| Literature DB >> 32794137 |
Georg Aichinger1, Natálie Živná1, Elisabeth Varga1, Francesco Crudo1,2, Benedikt Warth1, Doris Marko3,4.
Abstract
Alternaria molds produce a variety of chemically diverse secondary metabolites with potentially adverse effects on human health. However, data on occurrence in food and human exposure is inconsistent for some of these mycotoxins. Membrane filtration is a frequent step in many sample preparation procedures for LC-MS-based methods analyzing food contaminants. Yet, little is known about the possibility of adsorptive phenomena that might result in analyte losses. Thus, we treated a complex extract of Alternaria toxins with several types of syringe filters and unraveled the impact on its chemical composition by LC-MS/MS. We observed significant, and in some cases complete, losses of compounds due to filtration. Particularly, two key Alternaria toxins, alternariol (AOH) and its monomethyl ether (AME), were heavily affected. As a comparison with published food surveys indicating a correlation of the type of filtration used with lower incidence reports in food, our results point at a possible underestimation of AME in past exposure assessment. Also, perylene quinones were greatly affected by filtration, underlining the importance to take this into consideration during analytical method development. Furthermore, we applied the comet assay in HT-29 cells to elucidate the impact of filtration on the genotoxicity of the extract. We observed strong coincidences with the loss of epoxide-carrying metabolites and also an intriguing induction of oxidative DNA damage by yet toxicologically uncharacterized Alternaria toxins. In conclusion, we highlight potential issues with sample filtration and call for a critical re-evaluation of previous food occurrence data in the light of the results at hand.Entities:
Keywords: DNA damage; Emerging mycotoxins; Mass spectrometry; Public health; Risk assessment; Sample preparation
Mesh:
Substances:
Year: 2020 PMID: 32794137 PMCID: PMC7536153 DOI: 10.1007/s12550-020-00405-9
Source DB: PubMed Journal: Mycotoxin Res ISSN: 0178-7888 Impact factor: 3.833
Fig. 1Chemical structures of selected Alternaria toxins
Influence of microfiltration on the chemical composition of a complex mixture of Alternaria toxins, as obtained by LC-MS/MS analysis. Concentrations are provided in micrograms per liter or milligrams per liter except for STTX-III, where absolute quantification was not possible due to a lack of a reference standard; thus, the respective peak area units (AU) are presented
| AOH (μg/L) | AME (μg/L) | ALT (μg/L) | TeA (mg/L) | TEN (μg/L) | ATX-I (mg/L) | ATX-II (mg/L) | ALP (mg/L) | STTX-III (106 AU) | ALS (μg/L) | AST (mg/L) | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Unfiltered | 90.3 | 88.3 | 89.2 | 62.5 | 1.5 | 1.04 | 1.38 | 1.38 | 680 | 25.6 | 2.23 |
| PTFE | 84.4 | 72.7 | 83.3 | 60.1 | 0.9 | 1.05 | 1.35 | 1.30 | 700 | 23.3 | 1.37 |
| PVDF | 68.9 | < 0.06 | 75.8 | 58.0 | 0.8 | 0.79 | 0.69 | 1.03 | 254 | 25.8 | < 0.0002 |
| Nylon | < 0.3 | < 0.06 | 26.0 | 56.3 | 0.8 | < 0.00024 | < 0.001 | < 0.001 | 5 | 8.9 | < 0.0002 |
| PES | < 0.3 | < 0.06 | 15.7 | 59.3 | 0.9 | < 0.00024 | < 0.001 | < 0.001 | 3 | 7.4 | < 0.0002 |
| GF/CA | < 0.3 | < 0.06 | 52.7 | 57.9 | 0.6 | 0.0035 | < 0.001 | 0.006 | 9 | 23.6 | 1.10 |
| RC | 42.9 | 38.8 | 91.7 | 59.1 | 0.7 | 0.98 | 1.34 | 1.32 | 688 | 23.3 | 0.71 |
Fig. 2Recovery of (a) dibenzo-α-pyrones, (b) perylene quinones, (c) the miscellaneous toxins TEN, AST, and ALS after aqueous filtration and an additional washing step with methanol/acetonitrile (1:1). Bars show peak areas, corrected for dilution factors and sample volumes, and related to the unfiltered sample, which is indicated by a dashed line
Fig. 3Impact of filtration on the genotoxicity of the Alternaria extract in HT-29 cells, as measured by comet assay. Bars are depicting mean values + SD of the measured tail intensities of at least 4 independent biological replicates. Normal distribution was confirmed with the Shapiro-Wilk test. Significant differences were calculated by one-way ANOVA, followed by Fisher LSD post hoc testing (p < 0.05), with “a” indicating a significant difference to the respective solvent control (SC) and “b” to the unfiltered extract. A separate one-way ANOVA was carried out for the samples revealing very low tail intensities to again test for significant differences to the respective solvent control, which are indicated by “c.” The positive control was tested against the SC with Student’s t test, observed significant differences therewith are indicated by “d.” The same was used for testing the impact of FPG treatment for each sample, which significantly enhanced tail intensities of all samples, including SC, except for the PES filtrate (not indicated). The underlying table shows LC-MS data for the corresponding aqueous filtrates, in relation to the respective toxin concentration in the unfiltered sample
Overview of recently (< 10 years) reported Alternaria toxin occurrence data in food as determined by LC-MS multi-analyte methods, grouped by conducted type of microfiltration. “n.d.” (not detected) indicates the respective toxin was included in the survey, but not found in any of the analyzed samples at levels above the LOD
| Filtration | Published by | Food matrices | Specification | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| AOH | AME | TeA | TEN | ALT | ATX-I | ALP | ||||
| PTFE | Janić Hajnal et al. ( | Wheat | - | 12 | 6 | 69 | - | - | - | - |
| López et al. ( | Wine, cereals, apple/tomato-based products, dried fruit, sunflower seeds, and seed oil | Overall | 7 | 5 | 22 | 15 | n.d. | - | - | |
| Tomato sauces | 50 | 50 | 100 | n.d. | n.d. | - | - | |||
| Puntscher et al. ( | Wheat flour | 13 | 40 | 31 | 18 | - | 20 | 36 | ||
| PVDF | De Berardis et al. ( | Tomatoes and fruit-based products | - | n.d. | n.d. | 18 | n.d. | - | - | - |
| Prelle et al. ( | Apple juices, beers, tomato sauces, olives, dried basil | Overall | 24 | n.d. | 3 | 3 | 9 | - | - | |
| Tomato sauces | 50 | n.d. | n.d. | 10 | 80 | - | - | |||
| Nylon | Rodriguez-Carrasco et al. ( | Tomatoes/tomato-based products | - | 13 | 7 (< LOQ) | - | n.d. | - | - | - |
| Rubert et al. ( | Barley | - | n.d. | - | - | - | n.d. | - | - | |
| Juan et al. ( | Strawberries | - | 25 | 19 | - | n.d. | - | - | - | |
| RC | Hickert et al. ( | Tomato products, bakery products, sunflower seeds, fruit juices, vegetable oils | Tomato products | 71 | 79 | 91 | 26 | n.d. | n.d. | - |
| Unspecified | Gotthardt et al. ( | Infant foods | - | 32 | 92 | 89 | 84 | n.d. | 16 | 8 |
| Diana Di Mavungu et al. ( | Food supplements | - | n.d. | n.d. | - | - | n.d. | - | - | |
| Ssepuuya et al. ( | Sorghum | - | 2.5 | 1.6 | - | - | 0.07 | - | - | |
| Walravens et al. ( | Tomato products, fruit/vegetable juices | Tomato products | 71 | 54 | 100 | 64 | 50 | n.d. | - | |
| None | Noser et al. ( | Tomatoes/tomato-based products | - | 27 | 26 | 81 | 10 | 2 | n.d. | - |
| Qiao et al. ( | Cherries/cherry-based products | - | 35 | 42 | 76 | 49 | 31 | - | - | |
| Zhao et al. ( | Tomato- and citrus-based products | Citrus-based food or fresh tomatoes | n.d. | n.d. | n.d. | n.d. | - | - | - | |
| Tomato products | 35 | 88 | 100 | 73 | - | - | - | |||
| Puntscher et al. ( | Tomato sauces, sunflower seed oil | Tomato products | 30 | 55 | 71 | 11 | - | 23 | 21 | |