Abstract
Deoxynivalenol-3-glucoside (D3G) is a modified mycotoxin formed by the metabolism of plants through the conjugation of deoxynivalenol (DON) with glucose. Toxicology studies of D3G for human and animal health are still under investigation, and the development of practical and reliable methods for its direct determination, especially in cereal matrices, is of great importance. In the present study, a methodology for simultaneous determination of D3G, DON, and nivalenol (NIV) in wheat grains, using immunoaffinity column (IAC) cleanup, separation by C18 column and detection by ultraviolet (UV) absorption, was optimized and in-house validated. The results demonstrated adequate values of D3G recovery from IAC and spiked samples. Intraday precision, linearity, limit of detection and limit of quantification (LOQ) were also adequate for the determination of these mycotoxins. Range of applicability varied from 47.1 to 1000 μg/kg for D3G and from 31.3 to 1000 μg/kg for DON and NIV, with recovery ranging from 84.7 ± 7.2 % to 112.3 ± 8.1 %. A high incidence of D3G (41.2 %, all samples <LOQ) was verified in commercial samples of wheat grains and whole wheat-flour (n = 17). Also, the presence of D3G occurred simultaneously with DON in 100 % of the D3G-positive samples. DON levels varied from <LOQ to 325.8 μg/kg, and NIV was detected in only 29.5 % (from <LOQ to 140.6 μg/kg). To the best of our knowledge, this is the first method of simultaneous determination of NIV, D3G, and DON by high-performance liquid chromatography with photodiode array detector (HPLC-PDA) reported until now.
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Introduction
Wheat is the most widely cultivated cereal in the world and a fundamental source of nutrients for humans, contributing to about 20 % of the total dietary calories consumed worldwide (Shiferaw et al. 2013). The consumption of whole-wheat grain and its whole derivatives is a source of dietary fiber, vitamins, minerals, and other bioactive components that are associated with the prevention of some chronic disease, such as, cardiovascular disease, obesity, and cancer (Gil et al. 2011; Borneo and León 2012; Walter et al. 2013). On the other hand, wheat grains can also be a source of mycotoxins, which are toxic metabolites produced by fungi, representing a hazard due to the diverse toxic effects on humans and animals (Pitt 1989; EFSA 2012).
The main mycotoxin producers related to wheat are Ascomycete fungus (Fusarium and Microdochium species) that infects wheat crops causing Fusarium head blight, a global disease responsible for significant crop losses of this cereal (Kazan et al. 2012; McMullen et al. 2012). Fusarium head blight is also related to the contamination of wheat grains by some trichothecene mycotoxins, especially deoxynivalenol (DON) (Stępień and Chełkowski 2010; Del Ponte et al. 2012; Ji et al. 2015). DON is an immunosuppressive toxin that induces intestinal pathologies, increases the susceptibility to enteric infectious diseases, and it can also affect the central nervous system (Bonnet et al. 2012; Pinton and Oswald 2014). DON can be found in plant materials in its free form, but also conjugated with organic compounds, such as a glucose molecule. This conjugated compound is named deoxynivalenol-3-glucoside (D3G) and it is formed by the metabolism of some plants as a mechanism of resistance against DON, which is subsequently stored in the plant matrix (Berthiller et al. 2005; Berthiller et al. 2009a).
D3G has a much higher polarity than DON and consequently, it escapes routine detection methods, but it contributes to the total mycotoxin content, and it was classified as a “masked mycotoxin”, according to a terminology proposed by Gareis (1994) or “modified mycotoxin”, as recently proposed by Rychlik et al. (2014). Current concern regarding the presence of D3G in the food plant matrix is due to the possibility that this conjugated mycotoxin can be hydrolyzed by food processes, such as fermentation, or by human metabolism, releasing its precursor, DON (De Angelis et al. 2014; Dall’Erta et al. 2013; Gratz et al. 2013).
New methodologies to determinate D3G in different food matrices have been optimized in recent years. The main methodologies have been based on HPLC coupled to mass spectrometer (HPLC-MS/MS), which has the advantages of minimal sample treatment, with low detection limits, the possibility to generate structural information of the compounds, and good reliability of the results (Berthiller et al. 2007; Köppen et al. 2010). On the other hand, MS equipment is very expensive and it requires specialized analysts. An alternative to the MS method is the indirect determination of DON conjugates using acid hydrolysis, with quantification by the enzyme-linked immunosorbent assay (ELISA). In the last 5 years, three indirect determination methods have been published based on the principle that DON-conjugated mycotoxin can be measured by subtracting the free DON from the total DON obtained after hydrolysis (Liu et al. 2005; Zhou et al. 2007; Tran and Smith 2011). The hydrolysis procedure was considered by these authors as a cheaper and simpler alternative to determine total DON-conjugated mycotoxins in cereals, especially because it uses quantification by ELISA kits. However, Malachová et al. (2015) recently published a critical evaluation of these indirect methods for total DON-conjugated determination, raising doubts on their efficacy as, according to these authors, none of them were able to release DON from its conjugated form, and for this reason, they were not recommended for such evaluations.
Analysis of D3G in cereals by HPLC with ultraviolet (UV) detection was published by Geng et al. (2014), who used an hydrophilic interaction liquid chromatography (HILIC) column to separate D3G after its purification by immunoaffinity columns (IAC). The method was compared to another that uses LC-MS/MS and showed similar results, which according to the authors could be used for direct determination of D3G as an alternative to LC-MS/MS but with the disadvantage of quantifying only D3G and no other trichothecene mycotoxins, such as DON. Moretti et al. (2014) used a method for DON analysis in cereal products, which uses IAC purification and UV detection, to determine both DON and D3G in wheat plant and demonstrated that, due to the cross reactivity of the IAC, it was possible to obtain good values of recovery for both mycotoxins.
In the present study, a method for simultaneous determination of DON, D3G, and also nivalenol (NIV), using immunoaffinity column cleanup and detection by HPLC with a photodiode array (PDA), was optimized and in-house validated. In a second phase, the method was applied to a limited survey on the presence of these mycotoxins in whole-wheat grain products.
Material and Methods
Reagents and Standards
NIV (1 mg), D3G (50 μg/mL in acetonitrile), and DON (1 mg) standards were purchased from Sigma-Aldrich (St. Louis, USA). Standard working solutions (3 μg/mL) were prepared by dilution in HPLC-grade acetonitrile (Chem-Lab Nv Zedelgem, Belgium). Methanol was purchased from Fisher Scientific (Loughborough, UK). Ultrapure water used was obtained by a Milli-Q® purification system (Billerica, USA). Qualitative filter papers were purchased from Filtros Anoia (Barcelona, Spain), and 0.45-μm polypropylene membranes were acquired from Whatman (Puradisc 25PP, 25 mm, Buckinghamshire, UK). DON-NIV™ WB immunoaffinity columns were purchased from Vicam (Watertown, USA).
Sample Extraction and Purification
The extraction of mycotoxins for validation analysis was performed according to the recommendations of the IAC manufacturer, with minor adaptations, as follows. Whole-wheat grains were ground in a domestic grinder (KRUPS 9000, Solingen, Germany), and 5 g was transferred to a 50-mL Falcon™ tube. Then, 20 mL of water was added and homogenized for 60 min with a magnetic stirring bar. After this, the tubes were centrifuged for 10 min at 1000 g (Sigma 4 K 15 centrifuge, St. Louis, USA). The whole supernatant extract was filtered through a filter paper using vacuum, and 10 mL of this was vortexed with 40 mL of phosphate-buffered saline solution (PBS). This solution was then filtered through a 0.45-μm membrane and exactly 12 mL of the filtrate was passed by gravity into the IAC. The column was washed with 10 mL of PBS followed by 10 mL of water. The mycotoxins were eluted by passing 0.5 mL of methanol and 1.5 mL of acetonitrile into the IAC, both by gravity. The extracts were collected in a 4-mL amber vial and dried using a heat block at 45 °C, under a stream of N2. Two-hundred microliter of the mobile phase (10 % acetonitrile in water) was added to the tube, vortexed for 1 min, and then transferred to an HPLC vial insert (0.25-mL capacity) for the chromatography analysis.
HPLC-PDA analysis
The HPLC analyses were carried out by a Shimadzu Liquid Chromatography system (Kyoto, Japan) consisting of a SPD-M20A PDA detector (scanning from 190 to 400 nm), a SIL-30 AC autosampler (volume of injection equal to 50 μL), a DGU-20A5R degassing unit, a LC-30 AD pump, with mobile phase composed of 10 % acetonitrile in water, in the isocratic mode at 1 mL/min (pump pressure equal to 9.6 Mpa), and a CTO-20 AC column oven (at 40 °C). The chromatographic separation was performed with a C18 250 × 4.6 mm Teknokroma LC2 column (Barcelona, Spain), particle size of 5 μm. Run time corresponded to 13 min for both the samples and standards.
Validation Method
Recovery of Mycotoxins from IAC
The first step of the validation method was the evaluation of the capacity of IAC to retain D3G, as the manufacturer only mentioned the values for DON and NIV (described as higher than 99 % for both mycotoxins when 0.125 μg of each mycotoxin diluted in PBS was passed into the IAC). Therefore, an aliquot of each mycotoxin (NIV, D3G, and DON) was put together in a glass flask, dried at 45 °C using a stream of N2, diluted in 12 mL of PBS by vortexing, and then passed into the IAC. The column was washed with PBS and water; the mycotoxins were eluted using methanol and acetonitrile, dried, and then resuspended in 200 μL of the mobile phase, as previously described. Two different mycotoxin levels were investigated, 0.06 and 0.6 μg, which corresponded to a contamination in a wheat grain sample equivalent to 100 and 1000 μg/kg, respectively. For instance, if a sample contained 1000 μg/kg of each of the evaluated mycotoxins, a total amount passed into the IAC would correspond to 1.8 μg, and in this way, 90 % of the total column capacity (2 μg) was used. We chose not to use 100 % of the IAC capacity due to the possibility that it could retain other mycotoxins of minor occurrence, such as 3-acetyldeoxynivalenol (3ADON) and 15-acetyldeoxynivalenol (15ADON) (neither of which were evaluated in this study).
Spiking Experiments
The recovery studies were conducted by spiking a wheat grain sample, in which the presence of the mycotoxins had not been detected. Five-gram samples were spiked with NIV, D3G, and DON together, in triplicates, at concentrations equivalent to 100, 500, and 1000 μg/kg. The spiked samples were than kept at room temperature for 12 h until performing the extraction procedures, in order to evaporate the solvent.
Analytical Curves and Limits of Detection and Quantification
Analytical curves of NIV, D3G, and DON were built up using seven points of concentration of the three mycotoxins together diluted in the mobile phase (10 % acetonitrile in water), varying from 0.0625 to 3.0 μg/mL. Limits of detection and quantification (LOD and LOQ) were determined at a signal-to-noise ratio (S/N) of 3 and 10, respectively, of the chromatograms from the analyses of spiked samples.
Chromatography Optimization
In order to find the best selectivity to determine the three mycotoxins in the same chromatography run, especially to obtain the separation of D3G from DON, different conditions of the mobile phase, column, and oven temperature were evaluated. To carry this out, an extract of a spiked sample was injected into three different columns and conditions: a Kinetex UHPLC HILIC 100 × 4.6 mm (particle size 2.6 μm) column (Phenomenex, Torrance, USA), with mobile phase composed of ACN:water or MeOH:water from 85:15 (v/v) until 95:5 (v/v), with a flow from 0.2 to 0.6 mL/min; a Kinetex UHPLC C18 100 × 3.0 mm (particle size 2.6 μm) column (Phenomenex, Torrance, USA), with mobile phase composed of ACN:water or MeOH:water from 5:95 (v/v) until 15:85 (v/v), with a flow from 0.2 to 0.6 mL/min; and a Teknokroma LC2 HPLC C18 250 × 4.6 mm (particle size 5 μm) column (Barcelona, Spain), with mobile phase composed of ACN:water or MeOH:water from 5:95 (v/v) until 15:85 (v/v), with a flow from 0.6 to 1.5 mL/min. The influence of the oven temperature was evaluated for the three columns, from 20 until 45 °C. Due to the different values described in the literature, wavelengths from 218 to 222 nm were evaluated in order to obtain the greatest peak area of each mycotoxin evaluated.
Survey on Mycotoxins in Whole-Wheat Products
The optimized and in-house validated method was used to carry out a limited survey for the presence of NIV, D3G, and DON in naturally contaminated samples of whole-wheat grains (n = 13) and whole-wheat flour (100 % ground wheat grains, n = 4). Samples were acquired in 2015 from different food stores in the city of Braga, Portugal. Packets containing 500 to 1000 g were collected, transported to the laboratory, and kept at room temperature until analysis. For both wheat grains and wheat flour samples, 50 g were transferred to a 500-mL Erlenmeyer flask and 200 mL of water was added and homogenized for 60 min with a magnetic stirring bar. From this extract, 25 mL was transferred to a 50-mL Falcon™ tube and then the purification was carried out as described previously, in the “Sample Extraction and Purification” item. Mycotoxin determinations were carried out with the limitation of only one replicate.
Results and Discussion
Method Optimization and Validation
In order to obtain the best separation of NIV, D3G, and DON, three LC columns were evaluated: a UHPLC HILIC column, a UHPLC C18 column, and an HPLC C18 column. In the HILIC column, no proportion of MeOH:water was able to obtain a separation of D3G from DON. The best condition was the use of ACN:water (93:7, v/v), at 0.6 mL/min, volume of injection equal to 20 μL, oven temperature at 25 °C, and run time equal to 7 min. However, under these conditions, DON and NIV have poor interactions with the column and could not be detected with reliability. In the UHPLC C18 column, the three mycotoxins were separated using ACN:water (10:90, v/v) at 0.6 mL/min, volume of injection of 20 μL and oven temperature at 25 °C. However, the interference of the matrix did not allow clear identification of the mycotoxins. The best condition of separation of the mycotoxins was achieved by using the traditional C18 column with mobile phase composed of ACN:water (10:90, v/v), at 1 mL/min, volume of injection equal to 50 μL, and column oven at 40 °C. Under these conditions, retention time corresponded to 5.7, 8.7, and 10.1 min for NIV, D3G, and DON, respectively (Fig. 1).
The use of IAC for the cleanup of extracts containing mycotoxins has the advantaged of improving the selectivity of the method by removing interfering compounds and concentrating the mycotoxin, which consequently lowers the LOD and LOQ. Its cross-reactivity with the modified forms of mycotoxins depends on the immobilized antibody. To determine the conjugated mycotoxins without a hydrolysis step, such as D3G, an antibody with high cross-reactivity is preferred in order to obtain good recovery rates (Goryacheva and De Saeger 2012). To the best of our knowledge, the DON-NIV™ IAC used in this study has never been used to evaluate the percentage recovery of D3G until now. The results obtained are presented in Table 1 and demonstrated that it was possible to obtain good values of recovery of the three mycotoxins evaluated, which varied from 90.8 to 115.5 %. Therefore, this IAC can be considered adequate for purification and concentration of NIV, D3G, and DON, with further quantification by HPLC-PDA or even MS/MS.
In order to evaluate the percentage recovery and the intraday precision (in terms of % RSD) of the optimized method, NIV, D3G, and DON were spiked in wheat grain samples and then submitted to the extraction procedures. The results presented in Table 2 demonstrated adequate values, varying from 84.7 ± 7.2 to 112.3 ± 8.1 %. The LOD corresponded to 9.4 μg/kg for NIV and DON and 14.1 μg/kg for D3G, while the LOQ corresponded to 31.3 μg/kg for NIV and DON and 47.1 μg/kg for D3G.
DON is the only one of these mycotoxins that is regulated by regulatory agencies. The U.S. Food and Drug Administration sets maximum limits for cereal products intended for human consumption equal to 1000 μg/kg (FDA 2011), while in the European Union, its levels vary from 200 μg/kg for foods for infants to 1750 μg/kg for unprocessed cereal (EC 2006). Based on this, the LOQ found in this work could be considered adequate for the evaluation of this mycotoxin in wheat grain samples. Different values of LOQ to determine D3G in cereal samples, using LC-MS/MS, have been reported in the literature, for example, 5 μg/kg in the method used by Škrbić et al. (2011) and 100 μg/kg, as described by Vendl et al. (2010). Geng et al. (2014) who used an HPLC-UV method reported a lower LOQ than that found in the present study, corresponding to 25 μg/kg.
All the analytical curves showed R 2 higher than 0.999 in the range 0.0625–3.0 μg/mL and the greatest peak area for NIV, D3G, and DON was obtained using absorbance at 218 nm, as demonstrated in Fig. 2.
Occurrence of Mycotoxins in Whole-Wheat Products
Based on the 17 samples evaluated for the presence of NIV, D3G, and DON, 58.8 % were positive for at least one mycotoxin. DON had the highest prevalence (58.8 %), followed by D3G (41.2 %) and NIV (29.5 %). Simultaneous occurrence of D3G and DON was observed, because 100 % of the D3G-positive samples also had detectable levels of DON. No samples of DON exceed the European Commission regulation limits (EC 2006), which are 1250 μg/kg for wheat grains and 750 μg/kg for wheat flour. For NIV, there are no legal limits for its presence in food; however, due to its immunotoxicity and hematotoxicity, the European Food Safety Authority established a tolerable daily intake (TDI) of 1.2 μg/kg b.w. per day (EFSA 2013). Also, no legal maximum levels have been set for the presence of D3G until now. However, even supposing a total conversion of D3G into DON, not one sample would have reach the maximum allowed levels for DON. These results are presented in Table 3.
Other studies have also demonstrated that D3G can be found in other cereal matrixes at different levels. Vendl et al. (2010) investigated its presence by LC-MS/MS in 25 samples of cereal-based food and found 8 % of positivity (LOQ = 100 μg/kg). Škrbić et al. (2011) reported a higher percentage of contamination (13 %), possible due to the lower LOQ of the LC-MS/MS method used (5 μg/kg). These authors evaluated 54 wheat grain samples and reported concentrations from 17 to 83 μg/kg. De Boevre et al. (2012) also used a LC-MS/MS method and reported higher levels of D3G in fiber-enriched bread products, varying from 10 to 425 μg/kg, and 48 % of the samples were positive.
The highest levels of D3G occurring in a cereal product, reported until now, corresponded to 1070 μg/kg in wheat grains (Berthiller et al. 2009b) and to 1100 μg/kg in maize grain samples (De Boevre et al. 2014). The levels of D3G can be even higher than DON, as reported in a breakfast cereal by Malachova et al. (2011) and in beer samples by Varga et al. (2013). The presence of this modified form of DON in commodities contributes to the exposure of consumers to DON, making it of great importance to the screening of D3G in cereal products, as well as the evaluation of its contribution to DON intake in risk assessment studies.
Conclusions
The method optimized and in-house validated in this work, by using IAC purification and HPLC-PDA determination, is adequate to determine the conjugated mycotoxin D3G together with DON and NIV in wheat grain samples. Adequate values of recovery, intraday precision, linearity, LOD, and LOQ were reached. To the best of our knowledge, this is the first method of simultaneous determination of these mycotoxins by HPLC-PDA reported until now. By using this method, a high incidence of D3G (41.2 %) was verified in commercial samples of wheat grains and whole wheat flour (n = 17) at trace levels (<LOQ). Also, the presence of D3G occurred simultaneously with DON in 100 % of the D3G-positive samples. Suggestions for future research include the validation of these methodologies for other cereal matrixes and the realization of surveys on the simultaneous occurrence of DON and D3G to be used in exposure studies. Possible retention of 3ADON and 15ADON by the IAC used in this study should also be investigated, in order to include the determination of these mycotoxins in the same methodology.
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Acknowledgments
Felipe Trombete is grateful for a doctoral fellowship provided by the Brazilian Federal Agency for Support and Evaluation of Graduate Education (CAPES).
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This study was financially supported by The Brazilian National Council for Scientific and Technological Development (CNPq, grant number 201198/2014-2–SWE).
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Felipe Trombete has no conflict of interest. Aline Barros has no conflict of interest. Madalena Vieira has no conflict of interest. Tatiana Saldanha has no conflict of interest. Armando Venâncio has no conflict of interest. Marcelo Fraga has no conflict of interest.
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Trombete, F., Barros, A., Vieira, M. et al. Simultaneous Determination of Deoxynivalenol, Deoxynivalenol-3-Glucoside and Nivalenol in Wheat Grains by HPLC-PDA with Immunoaffinity Column Cleanup. Food Anal. Methods 9, 2579–2586 (2016). https://doi.org/10.1007/s12161-016-0450-5
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DOI: https://doi.org/10.1007/s12161-016-0450-5