Detection of Mycotoxins in Corn Meal Extract Using Automated Online Sample Preparation with Liquid Chromatography-Tandem Mass Spectrometry

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Detection of Mycotoxins in Corn Meal Extract Using Automated Online Sample Preparation with Liquid Chromatography-Tandem Mass Spectrometry Yang Shi, Catherine Lafontaine, Timothy B. Haney, and François A. Espourteille Thermo Fisher Scientific, Franklin, MA, USA

Overview Purpose: To develop a rapid and sensitive automated online sample preparation LC-MS/MS method to detect and quantify multiple mycotoxins in corn meal extract and also to shorten assay time and increase throughput. Methods: Automated online sample preparation using Thermo Scientific TurboFlow technology coupled with the Thermo Scientific TSQ Vantage triple stage quadrupole mass spectrometer. Results: Two quick, automated online sample preparation LC-MS/MS methods have been developed that are sensitive enough to detect mycotoxins in corn meal extract. Introduction Since the discovery of aflatoxin in 1960, mycotoxins research has received considerable attention. Mycotoxins are a group of naturally occurring toxic substances produced by certain molds, which can contaminate food and feed. The inhalation or absorption of mycotoxins into the body may cause sickness, such as kidney, liver damage, and cancers, or even death in man or animals. 1 From a food safety perspective, the aflatoxins, ochratoxin A, patulin, fumonisins, trichothecenes and zearalenone are the mycotoxins of major concern. Many countries now monitor mycotoxin levels in food products. Liquid chromatography-mass spectrometry (LC/MS) is currently a common analytical approach for the quantification of mycotoxin contamination. 2 Sample preparation for LC-MS/MS analysis can be time- and laborintensive, often involving ph modification, solid phase extraction, multi-step extract clean-up, and pre-concentration. 3 The strict regulation published by the European Union (EU) in 1999 asking for lower detection limits and higher method reliability presented a new analytical challenge. 4 In this study we describe an easy, comprehensive, LC-MS/MS method using a Thermo Scientific Transcend TLX-1 system powered by TurboFlow technology to analyze multiple mycotoxin residues in corn meal extract. Figure 1 illustrates a typical Transcend TLX-1 system with the TSQ Vantage triple stage quadrupole mass spectrometer. FIGURE 1. Typical Layout of a Transcend TLX-1 system with a TSQ Vantage triple stage quadrupole mass spectrometer Methods The matrix standard curve Five grams of corn meal purchased from a local grocery store was extracted using 25 ml of 70 % methanol in water followed by 60 minutes of ultra-sonication. The extract sat overnight at room temperature. The resulting solution was then centrifuged at 6000 RPM for 20 minutes. The supernatant was used to prepare the matrix calibrators and QC samples. Each milliliter of supernatant corresponds to 0.2 g solid corn meal powder as the unit of conversion. The analyte stock mix solutions were prepared in methanol. Table 1 lists selected reaction monitoring (SRM) transitions and stock concentrations for individual analytes. The remaining three compounds, deoxynivalenol (DON), nivalenol (NIV) and 3-acetyl- DON (3-AcDON) were analyzed under negative electrospray ionization (ESI) mode. 2 Detection of Mycotoxins in Corn Meal Extract Using Automated Online Sample Preparation with Liquid Chromatography-Tandem Mass Spectrometry

LC/MS Methods using positive ESI mode (Method A): TurboFlow Method Parameters Column: TurboFlow Cyclone-P column 0.5 x 50 mm Injection Volume: 10 μl Solvent A: 10 mm ammonium acetate in water Solvent B: 0.1% formic acid in acetonitrile (ACN) Solvent C: 1:1:1 ACN: isopropanol: acetone (v:v:v) with 0.3% formic acid HPLC Method Parameters Analytical Column: Thermo Scientific Hypersil GOLD column 2.1 x 100 mm, 1.9μm Solvent A: 0.1% formic acid in water Solvent B: 0.1% formic acid in ACN Mass Spectrometer Parameters MS: TSQ Vantage triple stage quadrupole mass spectrometer Ionization Source: heated electrospray ionization (H-ESI) Spray Voltage: 5KV Sheath Gas (N2): 50 arbitrary units Auxiliary Gas (N2): 20 arbitrary units Vaporizer Temp: 209 C Capillary Temp: 270 C Collision Gas: 1.5mTorr LC/MS Methods using negative ESI mode (Method B): TurboFlow Method Parameter Column: research column A 0.5 x 50 mm Injection Volume: 10 μl Solvent A: water Solvent B: methanol Solvent C: 0.1 % ammonium hydroxide Solvent C: 45:45:10 ACN: isopropanol: acetone (v:v:v) HPLC Method Parameters Analytical Column: Hypersil GOLD column 2.1 x 50 mm, 1.9μm Solvent A: 0.1% formic acid in water Solvent B: 0.1% formic acid in ACN Mass Spectrometer Parameters MS: TSQ Vantage triple stage quadrupole mass spectrometer Ionization Source: H-ESI Spray Voltage: 4.5KV Sheath Gas (N2): 50 arbitrary units Auxiliary Gas (N2): 20 arbitrary units Vaporizer Temp: 250 C Capillary Temp: 270 C Collision Gas: 1.5mTorr TABLE 1. The list of analytes and their MS transitions Compounds Parent ion (m/z) Primary product ion (m/z) Secondary product ion (m/z) Aflatoxins B1 313 241 285 Aflatoxins B2 315 259 287 Aflatoxins G1 329 243 283 Aflatoxins G2 331 245 275 Zearalenone (ZEA) 319 187 185 Ochratoxin A (OTA) 404 239 221 Fumonisins B1 (FB1) 722 334 352 Fumonisins B2 (FB2) 706 336 318 Deoxynivalenol (DON) 295 138 265 Nivalenol (NIV) 311 281 205 3-Acetyl-DON (3-AcDON) 337 307 173 Red: Negative ESI mode Thermo Scientific Poster Note PN63610_E 06/12S 3

The LC method schematic views from Thermo Scientific Aria OS software are shown in Figures 2 and 3. FIGURE 2. Method A view in Aria OS software FIGURE 3. Method B view in Aria OS software Results and Discussion Figure 4 shows the comparison of chromatograms of 8 positive analytes at 1:100 dilutions in methanol and corn meal extract, indicating excellent chromatographic separation in both solvent standard and matrix. Matrix-matched calibration standards showed linear response of two orders of magnitude (r2 > 0.99) for 6 of them (Table 2). Significant signal enhancement was observed for FB1 and FB2 due to matrix-induced ionization variability, which was previously reported by other researchers. 5 In future work, the isotope-labeled internal standard might be used to compensate for the matrix interference. FIGURE 4. The comparison of chromatograms of 8 positive analytes in methanol and corn flour extract (1:100 dilution of stock mixture) 4 Detection of Mycotoxins in Corn Meal Extract Using Automated Online Sample Preparation with Liquid Chromatography-Tandem Mass Spectrometry

Because DON, NIV and 3-AcDON have a better signal response under negative ionization mode, a separate LC-MS/MS method was developed. Figure 5 shows the chromatograms of DON, NIV and 3-AcDON identified at 100 ng/ml fortified in the corn meal extract. Figure 6 presents the linear fit calibration curves for DON and NIV, indicating excellent linear fits over the dynamic range. Table 3 summarizes detection, quantitation limits and standard curve linearity for 3 analytes analyzed in negative ion mode. For all analytes, the quantitation limits obtained using the present methodology exceed the EU s maximum level standards. 6 To the best of our knowledge, this is the first application of its type to detect these 3 compounds using an online sample clean-up technique coupled to tandem mass spectrometry. FIGURE 5. Selected chromatograms of DON, NIV and 3-AcDON detected at 100 ng/ml fortified in the corn meal extract FIGURE 6. Calibration curves for DON and NIV TABLE 2. Limit of detection (LOD), limit of quantitation (LOQ) and standard curve linearity for analytes detected in positive ion mode Compounds LOD (ng/g) LOQ (ng/g) r 2 B1 0.25 0.50 0.9956 G1 0.25 0.50 0.9910 OTA 5.00 5.00 0.9937 ZEA 50.00 50.00 0.9955 FB1 12.50 12.50 0.9984 FB2 12.50 12.50 0.9965 Thermo Scientific Poster Note PN63610_E 06/12S 5

TABLE 3. LOD, LOQ and standard curve linearity for analytes detected in negative ion mode Conclusion Developing a rapid and sensitive quantitative method is always a major goal for mycotoxins analysis. 7 Two quick, automated online sample preparation LC-MS/MS methods have been developed that are sensitive enough to detect mycotoxins in corn meal extract. By eliminating manual sample preparation, the reliability of this methodology was improved significantly. The sample throughput could be improved by multiplexing the two methods on different LC channels using a Transcend TLX-2 (or TLX-4) system. Future work will focus on the application of this methodology on various food matrices and references. References 1. Pitt, J.I. What are mycotoxins? Australian Mycotoxin Newsletter. 1996, 7(4), 1. 2. Spanjer, M.C., Rensen, P.M., Scholten, J.M. LC-MS/MS multi-method for mycotoxins after single extraction, with validation data for peanut, pistachio, wheat, maize, cornflakes, raisins and figs. Food Addit. Contam. Part A Chem. Anal. Control Expo. Risk Assess. 2008, 25, 472-89. 3. Shephard, G.S., Determination of mycotixins in human foods, Chem. Soc. Rev., 2008, 37, 2468-77. 4. DS/CEN/CR 13505, Food analysis-biotoxins Criteria of analytical methods of mycotoxins, European Committee for Standardization, May 20, 1999. 5. Li, W., Herrman, T.J., Dai, S. Y., Rapid Determination of Fumonisins in Corn- Based Products byliquid Chromatography/Tandem Mass Spectrometry, J. AOAC Int., 2010, 93, 1472-81. 6. http://eur-lex.europa.eu/lexuriserv/lexuriserv.do?uri=consleg:2006r1881 :20100701:EN:PDF. Accessed on Mar. 15, 2011 7. Rahmani, A., Jinap, S., Soleimany, F., Quantitative and qualitative analysis of mycotoxins, Compr. Rev. Food Sci. Food Safety, 2009, 8, 202-251 All trademarks are the property of Thermo Fisher Scientific and its subsidiaries. This information is not intended to encourage use of these products in any manners that might infringe the intellectual property rights of others. 6 Detection of Mycotoxins in Corn Meal Extract Using Automated Online Sample Preparation with Liquid Chromatography-Tandem Mass Spectrometry

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