Abstract
Introduction
The results are presented of the inter-laboratory validation of a liquid chromatography–tandem mass spectrometry method for the determination of eight mycotoxins (aflatoxin B1, deoxynivalenol, fumonisin B1, fumonisin B2, ochratoxin A, toxin T-2, toxin HT-2 and zearalenone) in animal feeds.
Material and Methods
This study was an essential part of the method’s transfer from the National Reference Laboratory to six regional laboratories in Poland working in the official survey of mycotoxins in feed. The laboratories received a batch of standard solutions, blank samples and quality control materials on which to perform analysis with one procedure and different liquid chromatography–tandem mass spectrometry conditions.
Results
The validation results show good precision (reproducibility coefficient of variation 3.7–20.5%) and accuracy of the method (recovery 89–120% and trueness 94–103%) and sufficient skills of the laboratory personnel.
Conclusion
The study is an example of the successful transfer of the method among laboratories.
Keywords: mycotoxins, mass spectrometry, feed, validation, inter-laboratory comparison
Introduction
The xenobiotic contamination of food of animal origin often has a source in the animal’s feed. Mycotoxins seem to be some of the most challenging among the wide range of hazardous and toxic compounds. These compounds produced by moulds in specific environmental conditions affect animal and human health and cause significant economic losses. Carcinogenicity, hepatotoxicity, genotoxicity, oestrogenicity, nephrotoxicity, and other harmful effects as well as the causation of reproductive disorders are related to mycotoxin intake (14).
The adverse effects of mycotoxins can be intensified by their co-occurrence in food and feed (10). In animal food production and husbandry, feed contamination with mycotoxins can play an important role. Main food animals like swine, bovines and poultry are susceptible to the presence of mycotoxins in feed (9, 16, 27). The toxins affect animal health, cause suffering and decrease production efficiency. Another consequence of such animal feed contamination is the transfer of some mycotoxins to food, particularly aflatoxin M1 to milk and ochratoxin A to tissues (12, 21). Multi-year studies conducted in various countries showed a significant percentage of feed samples to be contaminated with mycotoxins. Specific toxins occur to degrees varying by latitude. While in Europe deoxynivalenol and zearalenone are the most common, in Asia aflatoxin B1 dominates, and in the Americas a high percentage of fumonisins is found in feed (22).
For the above reasons, maximum levels (for aflatoxin B1) or recommended levels of mycotoxins in animal feed were established. For example, the European Union regulations require the determination of eight mycotoxins (aflatoxin B1, deoxynivalenol, fumonisin B1 and B2, ochratoxin A, toxin T-2 & HT-2, and zearalenone) in different feed samples (4, 5, 6, 8). It is worth noting that other regions or organisations use different limits, recommended concentrations, or guidance values for mycotoxins in feed, which shows that balance between consumer health (humans and animals) and feed (and grain) producers interests is hard to find. Despite no consensus existing about limit values, most countries agree that official monitoring needs to be conducted of the mycotoxin in food and feed and have implemented appropriate programmes using different analytical techniques.
The feed heterogeneity and the diversity of mycotoxins’ chemical properties make the analysis challenging. For many years, liquid chromatography with fluorescence or UV detection was the gold standard in mycotoxin control. Most of the published and normalised methods were based on immunoaffinity clean-up (24, 25, 26), and performed acceptably in specific, single-analyte analysis. Nowadays, liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) makes multi-analyte analysis possible with high sensitivity and good accuracy and precision. Acceptable validation results can be achieved with generic sample preparation, often based only on sample extraction and dilution (1). Matrix effects, often very high, have to be compensated for by the use of labelled internal standards. In most cases, validation of the multi-mycotoxin method can be performed as a single-laboratory experiment based on the analysis of a series of spiked samples (19).
The official monitoring performed by laboratories has to be based on reliable methods. If the analytical norms are unavailable, in-house developed methods have to be used. The role of National Reference Laboratories (NRL) is the development of analytical methods and their transfer to regional laboratories. In most cases, an NRL organises the training for regional laboratories, and after the implementation period, a proficiency test is undertaken. Another way of method transfer is inter-laboratory validation. Some methods for mycotoxin were verified in this way, but most of them were single-analyte methods, e.g. for aflatoxin M1 (11) or single-mycotoxin-group methods e.g. for aflatoxins (28) or fumonisins (24). In this particular case, it was decided for the Polish NRL at the National Veterinary Research Institute (NVRI) to verify regional laboratories’ performance of a multi-analyte method to determine mycotoxins in the feed.
Material and Methods
Reagents, standards and standards solutions used by the Polish NRL.
Acetonitrile (ACN, analytical grade), methanol (MeOH, LC-MS grade), and acetic acid were supplied by JT Baker (part of Avantor Performance Materials, Deventer, the Netherlands). Formic acid and ammonium acetate (LC/MS grade) were purchased from Sigma-Aldrich (Schnelldorf, Germany). The water was purified with a Milli-Q apparatus (Millipore Sigma, Burlington, MA, USA). The standards of aflatoxin B1 (AF B1), deoxynivalenol (DON), toxins T-2 (T-2) and HT-2 (HT-2), ochratoxin A (OTA), fumonisin B1 (FB1) and B2 (FB2), zearalenone (ZEN) and isotopically labelled internal standards (aflatoxin B1 l3C17 (AF B1-IS), deoxynivalenol 13C15 (DON-IS), toxin T-2 13C24 (T-2-IS), toxin HT-2 13C22 (HT-2-IS), ochratoxin A 13C20 (OTA-IS), fumonisin B1 13C34 (FB1-IS), and zearalenone 13C18 (ZEN-IS) were obtained from Sigma-Aldrich and stored according to their manufacturer’s recommendations. Primary standard stock solutions of DON, ZEA, T-2, HT-2, and all internal standards were prepared in acetonitrile, those of AF B1 and OTA in methanol, and FB1 and FB2 solutions in 50% ACN.
Laboratories seeking method validation also purchased and prepared a mixture of internal standards of the compounds to be tested for on their own, as shown in Table 1. Each laboratory was also instructed to prepare the FB1 and FB2 reference solutions separately at 5 μg/mL on site. The working solutions, designated MIX6 validation level 1(1VL) for standards (Table 2), MIX2 for FB1FB2 VL and MIX7 IS for internal standards were stored at 2–8°C and were stable for at least three months.
Table 1. Isotopically labelled mycotoxin internal standard mixture designated MIX7 IS.
Internal standard | Concentration | Solvent | Final concentration |
---|---|---|---|
AF B1 13C17 | 0.5 μg/mL | 0.02 μg/mL | |
DON 13C15 | 25 μg/mL | 1 μg/mL | |
FB1 13C34 | 25 μg/mL | 1 μg/mL | |
OTA 13C20 | 10 μg/mL | acetonitrile | 0.4 μg/mL |
ZEN 13C18 | 25 μg/mL | 1 μg/mL | |
T-2 13C24 | 25 μg/mL | 1 μg/mL | |
HT-2 13C22 | 25 μg/mL | 1 μg/mL |
AF B1 – aflatoxin B1; DON – deoxynivalenol; FB1 – fumonisin B1; OTA – ochratoxin A; ZEN – zearalenone; T-2 – toxin T-2; HT-2 – toxin HT-2
Table 2. Mycotoxin standard mixture designated MIX6 1VL.
Analyte | Concentration (μg/mL) | Volume of solution (mL) | Concentration in solution (μg/mL) | Solvent | Final volume (for one lab) |
---|---|---|---|---|---|
AF B1 | 1 | 1 | 0.1 | ||
DON | 100 | 1.8 | 18 | ||
OTA | 10 | 1 | 1 | acetonitrile | 10 mL |
ZEN | 10 | 2 | 2 | ||
T-2 | 10 | 1 | 1 | ||
HT-2 | 10 | 1 | 1 |
AF B1 – aflatoxin B1; DON – deoxynivalenol; OTA – ochratoxin A; ZEN – zearalenone; T-2 – toxin T-2; HT-2 – toxin HT-2
Experimental procedure
The original method was developed in the European Union Reference Laboratory for Mycotoxins in Food and Feed (Joint Research Centre, Geel, Belgium) and validated in inter-laboratory comparison in 2016 as a part of the preparation of the EN 17194:2019 standard (7). This method was modified by the authors in the NVRI and transferred to regional labs. The six regional laboratories of the Veterinary Inspectorate in Poland (Białystok, Bydgoszcz, Katowice, Kraków, Szczecin and Wrocław) took part in the inter-laboratory validation. Including the NVRI laboratory, all laboratories were randomly numbered from 1 to 7.
After a two-day training session for personnel at the NVRI, the laboratories received the standards for spiking and three blank samples. After three months of method development in the laboratories, the preliminary study results were sent to the NVRI and used to qualify these laboratories for further validation.
Sample preparation
A 1 g mass of previously ground feed was placed into a 50 mL polypropylene tube and extracted with a mixture (4 mL) of acetonitrile:water:formic acid (79:20:1, v/v/v) using a vertical shaker (200 cycles/min) for 30 min. The samples were centrifuged at 3,500 rpm for 15 min. Next, 0.01 mL of the internal standard mixture was added to 0.1 mL of supernatant and samples were evaporated to dryness in a stream of nitrogen at 40°C. The dry residue was reconstituted in 0.05 mL of mobile phase A and 0.05 mL of mobile phase B. The sample was centrifuged in the 1.5 mL Eppendorf tubes at 14,000 rpm for 30 min and transferred to autosampler vials. The laboratories were allowed to modify the procedure, making minor changes after consultation (Table 3). One of the laboratories changed the proportion of constituents in the extraction mixture (from acetonitrile: water: formic acid 79:20:1, v/v/v to acetonitrile: water: formic acid 48:50:2, v/v/v). Another changed the volume of the evaporated extract, and a further laboratory changed the mixture of the sample reconstitution.
Table 3. The list of minor changes to the sample preparation.
Sample weight | Volume of the extraction | Extraction mixture | Volume of the extract taken for evaporation | Reconstitution of the dry residue | Centrifugation | |
---|---|---|---|---|---|---|
Laboratory 1 | 1g | 4 mL | acetonitrile: water: formic acid (79:20:1, v/v/v) | 0.1 mL | 0.05 mL of methanol and 0.05 mL of water | + |
Laboratory 2 | 1g | 4 mL | acetonitrile: water: formic acid (48:50:2, v/v/v) | 0.1 mL | 0.05 mL of methanol and 0.05 mL of 0.01 M ammonium acetate + 0.1% acetic acid | + |
Laboratory 3 | 1g | 4 mL | acetonitrile: water: formic acid (79:20:1, v/v/v) | 0.1 mL | 0.1 mL of mobile phase B | – |
Laboratory 4 | 1g | 4 mL | acetonitrile: water: formic acid (79:20:1, v/v/v) | 0.1 mL | 0.1 mL of mobile phase B | + |
Laboratory 5 | 1g | 4 mL | acetonitrile: water: formic acid (79:20:1, v/v/v) | 0.1 mL | 0.05 mL of methanol and 0.05 mL of 0.01 M ammonium acetate + 0.1% acetic acid | + |
Laboratory 6 | 1g | 4 mL | acetonitrile: water: formic acid (79:20:1, v/v/v) | 0.2 mL | 0.2 mL of mobile phase B | + |
Laboratory 7 | 1g | 4 mL | acetonitrile: water: formic acid (79:20:1, v/v/v) | 0.1 mL | 0.05 mL of methanol and 0.05 mL of 0.01 M ammonium acetate + 0.1% acetic acid | + |
Instrumental parameters
The NRL used the following conditions: detection and quantification were performed with a Nexera X2 system with an LCMS-8050 triple quadrupole mass spectrometer (Shimadzu, Kyoto, Japan), which was operated in positive and negative electrospray modes, with Q1 and Q3 resolution of 1 unit, nebulising gas flow of 2 L/min, heating gas flow of 10 L/min, drying gas flow of 10 L/min, interface temperature of 300°C, desolvation line temperature of 250°C and heat block temperature – 400°C. Two multiple reaction monitoring (MRM) transitions for each analyte were monitored. Lab Solution software was used for the analysis. Chromatographic separation was performed at 40°C on a Kinetex Biphenyl column of 100 × 2.1 mm for 2.6 μm particle size, coupled with a Biphenyl security guard cartridge (all from Phenomenex, Torrance, CA, US) using 0.3 mL/min of constant flow. The separation was performed using a gradient elution of mobile phase A consisting of 0.01 M ammonium acetate and 0.1% of acetic acid in water/MeOH (95:5, v/v) and mobile phase B consisting of 0.01 M ammonium acetate and 0.1% of acetic acid in water/MeOH (5:95, v/v). Separation was performed in the following gradient conditions: (1) 0–9 min linear gradient to 95% solvent B; (2) 9–13.1 min isocratic step at 95% solvent B; (3) reconditioning for 2.9 min with the initial composition of the mobile phase. The injection volume was 5 μL, and the duration of a single run was 16 min. The detailed conditions of the MS/MS analysis applied in the NVRI laboratory are presented in Table 4.
Table 4. The tandem mass spectrometry parameters of mycotoxin analysis applied by the Polish National Veterinary Research Institute (NVRI).
Analyte | Parent ion | Daughter ions | Dwell time (msec) | Collision energy |
---|---|---|---|---|
Positive ionization | ||||
Aflatoxin B1 | (M+H)+ 313 | 285*, 241, 269 | 52, 52, 52 | -23, -38, -32 |
Aflatoxin B1 (IS) | (M+H)+ 330 | 301 | 79 | -24 |
Fumonisin B1 | (M+H)+ 722 | 352, 334 | 65, 65 | -37, -41 |
Fumonisin B2 | (M+H)+ 706 | 336, 318 | 65, 65 | -37, -40 |
Fumonisin B1 (IS) | (M+H)+ 756 | 357 | 42 | -42 |
Ochratoxin A | (M+H)+ 404 | 239, 358 | 65, 65 | -24, -15 |
Ochratoxin A (IS) | (M+H)+ 424 | 250 | 133 | -24 |
T-2 toxin | (M+Na)+ 489 | 327, 387 | 42, 42 | -24, -22 |
T-2 toxin | (M+NH4)+ 484 | 215, 305 | 65, 65 | -20, -16 |
T-2 toxin (IS) | (M+NH4)+ 508 | 198 | 65 | -23 |
(M+Na)+ 447 | 345, 285 | 65, 65 | -20, -21 | |
HT-2 toxin | (M+NH4)+ 442 | 263, 215 | 65, 65 | -14, -14 |
HT-2 toxin (IS) | (M+NH4)+ 464 | 278 | 65 | -14 |
Negative Ionisation | ||||
Zearalenone | (M–H)- 317 | 175, 131 | 71, 71 | 25, 30 |
Zearalenone (IS) | (M–H)- 335 | 140 | 71 | 31 |
Deoxynivalenol | (M–CH3COO)– 355 | 295, 265, 59 | 247, 247, 247 | 11, 16, 20 |
Deoxynivalenol (IS) | (M–CH3COO)– 370 | 310 | 247 | 11 |
bold ions were used for quantitation analysis
Most of the changes were to LC-MS/MS conditions such as the analytical column, gradient profile, mobile phase, or brand of the liquid chromatograph and mass spectrometer (Table 5). All the laboratories used core-shell columns (with C18 or Biphenyl). The mobile phase for most laboratories consisted of methanol (except one, where acetonitrile was used) with ammonium acetate or formic acid solutions.
Table 5. Liquid chromatography-tandem mass spectrometry conditions used in inter-laboratory validation.
Liquid chromatograph | Column | Mobile phase | Flow rate temperature | Mass spectrometer | |
---|---|---|---|---|---|
Laboratory 1 | Eksigent ekspert ultra LC 100-XL | Phenomenex Kinetex Biphenyl, 50 × 2.1 mm, 2.6 μm | A – methanol B – 2 mM ammonium formate + 0.1% formic acid |
0.35 mL/min 40°C | Sciex 5500 |
Laboratory 2 | Agilent 1260 | Agilent Poroshell 120 EC-C18, 4.6 × 50 mm, 2.7μm | A – 0.05 mM ammonium formate + 0.1% formic acid B – methanol + 0.05 mM ammonium formate + 0.1% formic acid |
0.5 mL/min 40°C | Sciex 5500 |
Laboratory 3 | Agilent 1200 | Agilent Poroshell 120 EC-C18, 3.0 × 50 mm, 2.7 μm | A – methanol (5%) + 0.02 M ammonium acetate + 0.1% acetic acid, 0.25% ammonium fluoride (95%) B – methanol (95%) + 0.02 M ammonium acetate, 0.1% acetic acid, 0.25% ammonium fluoride (5%) |
0.8 mL/min 30°C | Agilent 6410 |
Laboratory 4 | Shimadzu Prominence | Phenomenex Kinetex Biphenyl 2.6 μm, 100 × 2.1 mm | A – 0.01 M ammonium acetate + 0.1% of acetic acid/ methanol (95: 5, v/v) B – 0.01 M ammonium acetate + 0.1% of acetic acid/methanol (5:95, v/v) |
0.3 mL/min 40°C | Shimadzu LCMS-8040 |
Laboratory 5 | Agilent 1260 | Agilent Poroshell 120 EC-C18, 4.6 × 50 mm, 2.7μm | A – 1 mM ammonium formate + 0.1% formic acid B – methanol + 0.1% formic acid + 1 mM ammonium formate |
0.8 mL/min 40°C | Sciex 4500 |
Laboratory 6 | Agilent 1260 | Agilent Poroshell 120 EC-C18, 3.0 × 50 mm, 2.7 μm | A – methanol/0.02 M ammonium acetate + 0.1% acetic acid, (5:95, v/v) B – methanol/0.02M ammonium acetate + 0.1% acetic acid, (95:5, v/v) |
0.8 mL/min 30°C | Agilent LC/MS 6460 |
Laboratory 7 | Shimadzu Nexera X2 | Phenomenex Kinetex Biphenyl 2.6 μm, 100 × 2.1 mm | A – 0.01 M ammonium acetate +0.1% acetic acid/methanol (95:5, v/v) B – 0.01 M ammonium acetate + 0.1% of acetic acid/methanol (5:95, v/v) |
0.3 mL/min 40°C | Shimadzu LCMS-8050 |
Validation
Each laboratory received a standard mixture of mycotoxins designated MIX6 1VL, which was needed to produce enriched samples at validation levels of 0.5 VL, 1 VL and 1.5 VL (Table 6) and to plot a six-point calibration curve (Table 7). This solution did not contain fumonisins B1 and B2 because of their low stability. Each laboratory was instructed to prepare a reference solution of FB1 and FB2 at 5 μg/mL on site.
Table 6. Scheme of the inter-laboratory validation.
Samples | Laboratory | |||||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | |
Calibration curve (sample P1, n = 6) | (blank, 0.25 × VL, 0.5 × VL, 1.0 × VL, 1.5 × VL and 2.0 × VL) | |||||
Repeatability (sample P1, n = 6) | 0.5 × VL | 1.0 × VL | 1.5 × VL | 0.5 × VL | 1.0 × VL | 1.5 × VL |
Reproducibility + recovery (sample P2, n = 2; P3, n = 2; P4, n = 2) | 1.5 × VL | 1.0 × VL | 0.5 × VL | 1.5 × VL | 1.0 × VL | 0.5 × VL |
Trueness (quality control material QCM, n = 3) | all labs |
VL – validation level
Table 7. Levels of analytes in calibration curve (μg/kg).
Analyte | 0.25 × VL | 0.5 × VL | 1.0 × VL | 1.5 × VL | 2.0 × VL |
---|---|---|---|---|---|
AF B1 | 1.25 | 2.5 | 5 | 7.5 | 10 |
DON | 225 | 450 | 900 | 1350 | 1800 |
FB1 | 62.5 | 125 | 250 | 375 | 500 |
FB2 | 62.5 | 125 | 250 | 375 | 500 |
HT-2 | 12.5 | 25 | 50 | 75 | 100 |
OTA | 12.5 | 25 | 50 | 75 | 100 |
T-2 | 12.5 | 25 | 50 | 75 | 100 |
ZEN | 25 | 50 | 100 | 150 | 200 |
VL – validation level; AF B1 – aflatoxin B1; DON – deoxynivalenol; FB1 – fumonisin B1; FB2 – fumonisin B2; HT-2 – toxin HT-2, OTA – ochratoxin A; T-2 – toxin T-2; ZEN – zearalenone
Each laboratory received four pre-ground blank samples of feed (15 g of each) designated P1, P2, P3 and P4 which had been previously tested by triple analysis of each sample for the presence of mycotoxins with an LC-MS/MS method. Because it is currently challenging to find a mycotoxin-free feed sample owing to the low limits of detection of LC-MS/MS methods, samples containing small amounts of DON and ZEN were used for validation (Table 8).
Table 8. Mycotoxin contamination of blank samples.
Feed sample code | Type of feed | DON (μg/kg) | ZEN (μg/kg) |
---|---|---|---|
P1 | Fish feed | ~50 | ~20 |
P2 | Broiler feed | ~25 | - |
P3 | Fish feed | - | - |
P4 | Swine feed | - | ~20 |
DON – deoxynivalenol; ZEN – zearalenone
It was considered that relatively low concentrations of mycotoxins in selected samples would not significantly impact the validation carried out. At the same time as they received the feed samples, laboratories also received a quality control sample (QC), which was a material produced and evaluated by Fapas (Mycotoxins in animal feed, Test 04303; Fapas, Food and Environment Research Agency, York, UK) containing the following concentrations of mycotoxins: 16.9 μg/kg of aflatoxin B1, 1028 μg/kg of deoxynivalenol, 46.7 μg/kg of ochratoxin A and 661 μg/kg of zearalenone. These concentrations were values attributed to the sample from the results of Fapas proficiency tests.
The aim of the inter-laboratory validation study was an evaluation of the transferred method by calculation of linearity (calibration curves), precision (repeatability and reproducibility) and accuracy (trueness. i.e. spiked samples analysis in the case of QC analysis and recovery) in each of the six participating laboratories. The VLs used in the inter-laboratory study are presented in Table 6. The six-point matrix calibration curve was performed by spiking P1 sample with a mycotoxin standard mixture, and comprised blank samples and 0.25 × VL, 0.5 × VL, 1.0 × VL, 1.5 × VL and 2.0 × VL.
The repeatability test was performed by analysis of P1 spiked samples (n = 6) at one level and its results were expressed as percentages of relative standard deviation (RSDr). The reproducibility test was performed by analysis of P2, P3 and P4 spiked sample (n = 2) at one level and analysis of P2, P3 and P4 as blank (n = 1) and its results were also expressed as percentages of relative standard deviation (RSDR). The recovery of the method was calculated as the ratio between concentration determined in the reproducibility study and the spiking level. This parameter was expressed as a percentage (Rec). It was calculated for all analytes. Trueness was calculated based on the difference between the obtained concentration in the QCM material analysis and the QCM assigned values. It was expressed as bias in a per cent (Tr). These parameters were calculated for aflatoxin B1, deoxynivalenol, ochratoxin A and zearalenone. Uncertainty calculation was based on a top-down approach that used laboratory performance data (validation with the MUkit (Measurement Uncertainty Kit) (17), which is a measurement uncertainty software application in which calculations are based on the Nordtest TR537 handbook (15).
Quantitative analysis and criteria for the identification of mycotoxins
The analyte concentration in the sample was calculated using a matrix calibration curve showing the relationship of the peak area ratio of a more intensive fragmentation reaction of the analyte (quantitative ion) to the peak area of the internal standard in the enriched sample. The calculated concentrations (area or peak height) was required to be within the reference curve’s following range. Based on document SANTE/12089/2016 (23) which served as the guide for Ok et al. (18), the criteria for identifying mycotoxins were applied in feed. Qualitative analysis was performed by comparing peak retention times on the chromatogram in test samples with retention times of the peaks in standard solutions. The retention time of the internal standard was expected to be within the tolerance range ± 0.05 min relative to the appropriate standard. Any change in retention times of mycotoxins for the test sample was expected to be within a tolerance of ±0.1 min concerning the retention times of the standard mycotoxins solution. Identification was additionally confirmed by selecting at least two characteristic fragmentary ions: comparison was made of the ion ratio of two characteristic MRM transitions of analyte in the real sample to that of analyte in the standards solution. Requirements for identification are described in document SANTE/12089/2016 (23). Ion ratio differences should not exceed 30% (relative).
Statistical analysis
The results were statistically evaluated with the Grubbs test and one-way analysis of variance test. The Horwitz ratio (HorRat) was used to evaluate the acceptability of analysis methods concerning inter-laboratory precision (13).
Results
The calibration curves from the matrix proved to be linear over the whole concentration range for all analytes in all laboratories. Values greater than 0.99 were reached by the regression factor of the calibration curve from the matrix reached, and the low contamination of the blank sample did not influence the method’s performance. Low values of the coefficient of variation RSD (0.29–10.7%) confirmed the results of the repeatability test. Low RSDr values (3.76–20.5%) were also obtained in the reproducibility tests. The HorRat parameter was lower than 1, which confirmed the high precision of the applied test procedure, and in many cases, its value was lower than 0.5, which was proof of the excellent training and extensive experience of the personnel at the participating laboratories (15). The accuracy of the method, expressed as recovery, reached high values, in the range of 89–120% (Tables 9 and 10).
Table 9. Validation results for aflatoxin B1 (AFB1), deoxynivalenol (DON), zearalenone (ZEN) and ochratoxin A (OTA).
AF B1 | DON | ZEN | OTA | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
VL (μg/kg) | 2.5 | 5 | 7.5 | 450 | 900 | 1350 | 50 | 100 | 150 | 25 | 50 | 75 |
X (μg/kg) | 2.40 | 5.08 | 7.24 | 401 | 883 | 1217 | 52.2 | 107 | 148 | 23.2 | 48.8 | 71.4 |
Rec (%) | 95.9 | 102 | 96.5 | 89.0 | 98.1 | 90.2 | 104 | 107 | 98.7 | 92.9 | 97.6 | 95.2 |
RSDR (%) | 3.76 | 5.13 | 5.41 | 9.17 | 5.76 | 7.48 | 16.4 | 10.6 | 6.67 | 5.92 | 8.90 | 6.51 |
PRSD | 39.4 | 35.5 | 33.4 | 18.0 | 16.3 | 15.3 | 25.1 | 22.6 | 21.3 | 27.9 | 25.1 | 23.6 |
HORRAT | 0.1 | 0.1 | 0.2 | 0.5 | 0.4 | 0.5 | 0.7 | 0.5 | 0.3 | 0.2 | 0.4 | 0.3 |
U (%; k = 2) | 15 | 17 | 35 | 25 |
VL – validation level; X – concentration; Rec – recovery; RSDR – reproducibility; PRSD – predicted relative reproducibility of standard deviation; HORRAT – Horwitz ratio; U – extended uncertainty
Table 10. Validation results for toxin HT-2 (HT-2), toxin T-2 (T-2), fumonisin B1 (FB1) and fumonisin B2 (FB2).
HT-2 | T-2 | FB1 | FB2 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
VL (μg/kg) | 25 | 50 | 75 | 25 | 50 | 75 | 125 | 250 | 375 | 125 | 250 | 375 |
X (μg/kg) | 23.9 | 51.4 | 71.2 | 23.7 | 52.7 | 78.8 | 127 | 300 | 363 | 126 | 263 | 359 |
Rec (%) | 95.6 | 103 | 94.9 | 94.6 | 105 | 105 | 101 | 120 | 96.8 | 101 | 105 | 95.8 |
RSDR (%) | 14.0 | 9.54 | 9.92 | 11.6 | 6.82 | 14.4 | 5.45 | 8.22 | 4.44 | 8.32 | 20.5 | 8.30 |
PRSD | 27.9 | 25.1 | 23.6 | 27.9 | 25.1 | 23.6 | 21.9 | 19.7 | 18.5 | 21.9 | 19.7 | 18.5 |
HORRAT | 0.2 | 0.4 | 0.3 | 0.2 | 0.4 | 0.3 | 0.2 | 0.4 | 0.2 | 0.4 | 1.0 | 0.4 |
U (%, k = 2) | 28 | 23 | 48 | 59 |
VL – validation leve;l X – concentration; Rec – recovery; RSDR – reproducibility; PRSD – predicted relative reproducibility of standard deviation; HORRAT – Horwitz ratio; U – extended uncertainty
Analysis of quality control material showed the sufficient accuracy of the method and the good performance of the laboratories (Fig. 1). The results obtained as the range of QCM uncertainty declared by laboratories complied with the material datasheet. The overall precision (coefficient of variation (CV), %) and recovery (%) were CV = 8.5%, Rec = 95% for AF B1; CV = 6.5%, Rec = 94% for DON; CV = 12.6%, Rec = 103% for ZEN; and CV = 10.4%, Rec = 101% for OTA.
Fig. 1.
Individual results of analysis of quality control materials
DON AV – average deoxynivalenol; ZEN AV – average zearalenone; ZEN – zearalenone; DON – deoxynivalenol; AF B1 AV – average aflatoxin B1; OTA AV – average ochratoxin A; AF B1 – aflatoxin B1; OTA – ochratoxin A
The changes in sample preparation and LC-MS/MS analysis in laboratories did not affect the performance of the method and showed its good robustness. However, the choice of the chromatographic conditions has a significant influence on the retention order of analytes. As an example, aflatoxins B1 was eluted as a last analyte with (bi)phenyl columns and as second (after the deoxynivalenol) when the C18 column was used (Fig. 2).
Fig. 2.
Retention times of mycotoxins in LC-MS/MS analysis performed by participants and the NVRI DON – deoxynivalenol; AF B1 – aflatoxin B1; HT-2 – toxin HT-2; T-2 – toxin T-2; FB1 – fumonisin B1; – FB2 – fumonisin B2; OTA – ochratoxin A; ZEN – zearalenone
Discussion
In this study, the scheme of inter-laboratory validation was organised for six regional laboratories of the Veterinary Inspectorate in Poland. We chose a batch of low contaminated feed samples and decided to use a spiking experiment in the calibration, recovery and precision tests. The laboratories also received Fapas quality control material to verify the trueness of the method.
It is worth noting that the scheme of inter-laboratory validation is not standardised. In the described study, we developed an original scheme of validation based on a calculation of validation parameters (precision and accuracy) from the results of all laboratories. Each laboratory had to analyse a series of spiked sample at three different levels and calculate the concentration from the matrix calibration curve. Additionally, laboratories received a sample of reference material with an unknown amount of mycotoxins. The scheme of the inter-laboratory validation study was designed to minimise the number of determined samples per laboratory and obtain enough validation data to characterise the procedure. For this reason, each laboratory analysed 20 samples overall in a batch: 5 samples for the calibration curve (P1), 6 samples for the repeatability study (P1), 6 samples for reproducibility and recovery (P2, P3, P4) and 3 samples as quality control material (QCM). Such a simple design makes one-day sample preparation of the batch possible in the laboratory and shortens the instrumental analysis.
The VL were chosen based on the concentration of aflatoxin B1 and the guidance values recommended by the European Union (3, 6). The wide range of feed levels for different animal species suggested that the authors decide to choose the lowest value for a mycotoxin. The exceptions were fumonisin B1 and B2, for which the authors decided to choose VL = 250 μg/kg. The reason for the choice was the high guidance value for these mycotoxins (5–60 mg/kg) and, in consequence, the large amounts of expensive standards required for a validation experiment. Moreover, the animal feed survey results in Poland (13) show a relatively low mean concentration of fumonisins contamination (in the range of 10–600 μg/kg).
One of the essential tasks of an NRL working in the food and feed safety area is a transfer of the methods (described as standard operating procedures) to regional laboratories. The transfer involves training in the procedure scheme and verifying the regional laboratory’s performance, the latter of which proficiency testing can provide. A less frequently used option is organising inter-laboratory validation. Such a study is much more complicated and time-consuming, but it has added value: not only does the NRL receive information about laboratory performance but also about the characteristics of the method itself. Such validation parameters as reproducibility or ruggedness/robustness are better estimated thanks to inter-laboratory comparisons.
Published reviews show the different approaches to the scheme and range of inter-laboratory validation. It was undertaken most often for 8–14 participants (2, 8, 11) but was also for 3 (28). Samples for validation studies were often naturally contaminated (15) and also often spiked with standards (18). In some studies, the organisers also sent certified reference materials to verify the trueness of the validated method (24, 28).
The results of the inter-laboratory validation obtained were within the limits indicated in the criteria for determining mycotoxins in feed (3, 6). These criteria differ for different mycotoxins, and their levels are currently under discussion (20). New, stricter criteria for repeatability and within laboratory reproducibility were proposed (RSD < 25%) for European Union Reference Laboratories (draft document). The results of the inter-laboratory validation reported here were also compliant with these criteria advocated for recently. Besides satisfactory repeatability and reproducibility, also for the estimated uncertainty of the applied methods acceptable values were obtained. The scheme of the experiment, involving analysis of spiked samples and quality control samples, ensures good characteristics both of the method and of laboratory performance. The obtained results of the inter-laboratory validation show proper implementation of the method in the regional laboratories and confirm the ruggedness of the method. The process presented in this report is an excellent example of the successful transfer of the method from a reference laboratory to regional laboratories.
Acknowledgements
The authors want to thank the technical staff in regional laboratories Veterinary Inspection in Białystok, Bydgoszcz, Katowice, Kraków, Szczecin and Wrocław.
Footnotes
Conflict of Interests Statement: The authors declare that there is no conflict of interests regarding the publication of this article.
Financial Disclosure Statement: The study was supported by the Polish National Veterinary Research Institute.
Animal Rights Statement: None required.
References
- 1.Berthiller F., Brera C., Crews C., Iha M.H., Krska R., Lattanzio V.M.T., MacDonald S., Malone R.J., Maragos C., Solfrizzo M., Stroka J., Whitaker T.B. Developments in mycotoxin analysis: an update for 2014-2015 World Mycotoxin J. 2016;9:5. doi: 10.3920/WMJ2015.1998. : . , , –. , doi: . [DOI] [Google Scholar]
- 2.Chaney R.L., Green C.E., Lehotay S.J. Inter-laboratory validation of an inexpensive streamlined method to measure inorganic arsenic in rice grain Anal Bioanal Chem. 2018;410:5703. doi: 10.1007/s00216-018-1075-x. : . , , –. , doi: . [DOI] [PubMed] [Google Scholar]
- 3.Commission of the European Communities Commission Regulation (EC) No. 401/2006 of 23 February 2006 laying down the methods of sampling and analysis for the official control of the levels of mycotoxins in foodstuffs OJEU L. 2006;70:12. : . , , –. . [Google Scholar]
- 4.Commission of the European Communities Commission Recommendation of 17 August 2006 on the presence of deoxynivalenol, zearalenone, ochratoxin A, T-2 and HT-2 and fumonisins in products intended for animal feeding OJEU L. 2006;229:7. : . , , –. . [Google Scholar]
- 5.European Commission Commission Recommendation of 27 March 2013 on the presence of T-2 and HT-2 toxin in cereals and cereal products OJEU L. 2013;91:12. : . , , –. . [Google Scholar]
- 6.European Commission Commission Regulation (EU) No 519/2014 of 16 May 2014 amending Regulation (EC) No. 401/2006 as regards methods of sampling of large lots, spices and food supplements, performance criteria for T-2, HT-2 toxin and citrinin and screening methods of analysis OJEU L. 2014;147:29. : . , , –. . [Google Scholar]
- 7.European Committee for Standardization: EN 17194/2019 Animal feeding stuffs Methods of sampling and analysis - Determination of Deoxynivalenol, Aflatoxin B1, Fumonisin B1 & B2, T-2 & HT-2 Toxins, Zearalenone and Ochratoxin A in feed materials and compound feed by LC-MS/MS BSI, London 2019 : . , . [Google Scholar]
- 8.European Parliament and the Council of the European Union Directive 2002/32/EC of the European Parliament and of the Council of 7 May 2002 on undesirable substances in animal feed OJEC L. 2002;140:10. : . , , –. . [Google Scholar]
- 9.Gallo A., Giuberti G., Frisvad J.C., Bertuzzi T., Nielsen K.F. Review on Mycotoxin Issues in Ruminants: Occurrence in Forages, Effects of Mycotoxin Ingestion on Health Status and Animal Performance and Practical Strategies to Counteract Their Negative Effects Toxins. 2015;7:3057. doi: 10.3390/toxins7083057. : . , , –. , doi: . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Grenier B., Oswald I.P. Mycotoxin co-contamination of food and feed: meta-analysis of publications describing toxicological interactions World Mycotoxin J. 2011;4:285. doi: 10.3920/WMJ2011.1281. : . , , –. , doi: . [DOI] [Google Scholar]
- 11.Grosso F., Fremy J.M., Bevis S., Dragacci S. Joint IDF-IUPAC-IAEA(FAO) interlaboratory validation for determining aflatoxin M1 in milk by using immunoaffinity clean-up before thin-layer chromatography Food Addit Contam. 2004;21:348. doi: 10.1080/02652030410001662048. : . , , –. , doi: . [DOI] [PubMed] [Google Scholar]
- 12.Iqbal S.Z., Jinap S., Pirouz A.A., Ahmad Faizal A.R. Aflatoxin M1 in milk and dairy products, occurrence and recent challenges: A review Trends Food Sci Technol. 2015;46:110. doi: 10.1016/j.tifs.2015.08.005. : . , , –. , doi: . [DOI] [Google Scholar]
- 13.Kosicki R., Błajet-Kosicka A., Grajewski J., Twarużek M. Multiannual mycotoxin survey in feed materials and feedingstuffs Anim Feed Sci Technol. 2016;215:165. doi: 10.1016/j.anifeedsci.2016.03.012. : . , , –. , doi: . [DOI] [Google Scholar]
- 14.Milićević D.R., Škrinjar M., Baltic T. Real and perceived risks for mycotoxin contamination in foods and feeds: Challenges for food safety control Toxins. 2010;2:572. doi: 10.3390/toxins2040572. : . , , –. , doi: . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Mirzoian A., Ammann J.R. Determination of Oxadixyl in Wines by Liquid Chromatography-Tandem Mass Spectrometry: Single-Laboratory and Interlaboratory Validation Study J AOAC Int. 2014;97:1701. doi: 10.5740/jaoacint.13-359. : . , , –. , doi: . [DOI] [PubMed] [Google Scholar]
- 16.Murugesan G.R., Ledoux D.R., Naehrer K., Berthiller F., Applegate T.J., Grenier B., Phillips T.D., Schatzmayr G. Prevalence and effects of mycotoxins on poultry health and performance, and recent development in mycotoxin counteracting strategies Poult Sci. 2015;94:1298. doi: 10.3382/ps/pev075. : . , , –. , doi: . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Näykki T., Virtanen A., Leito I. Software support for the Nordtest method of measurement uncertainty evaluation Accred Qual Assur. 2012;17:603. doi: 10.1007/s00769-012-0932-0. : . , , –. , doi: . [DOI] [Google Scholar]
- 18.Ok H.E., Tian F., Hong E.Y., Paek O., Kim S.-H., Kim D., Chun H.S. Harmonized collaborative validation of aflatoxins and sterigmatocystin in white rice and sorghum by liquid chromatography coupled to tandem mass spectrometry Toxins. 2016;8:371. doi: 10.3390/toxins8120371. : . , , , doi: . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Panasiuk L., Jedziniak P., Pietruszka K., Piątkowska M., Bocian Ł. Frequency and levels of regulated and emerging mycotoxins in silage in Poland Mycotoxin Res. 2019;35:17. doi: 10.1007/s12550-018-0327-0. : . , , –. , doi: . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Pascale M., De Girolamo A., Lippolis V., Stroka J., Mol H.G.J., Lattanzio V.M.T. Performance Evaluation of LC-MS Methods for Multimycotoxin Determination J AOAC Int. 2019;102:1708. doi: 10.5740/jaoacint.19-0068. : . , , –. , doi: . [DOI] [PubMed] [Google Scholar]
- 21.Pietruszka K., Piątkowska M., Jedziniak P. Occurrence of ochratoxin A in animal tissues and feeds in Poland in 2014–2016 J Vet Res. 2017;61:483. doi: 10.1515/jvetres-2017-0071. : . , , –. , doi: . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Romer Labs - Guide to Mycotoxins. , https://www.foodriskmanagement.com/wp-content/uploads/2013/03/Romer-Labs-Guide-to-Mycotoxin-Book_Original_41686.pdf . .
- 23.SANTE/12089/2016 . Guidance document on identification of mycotoxins in food and feed. DG SANTE; Brussels: . . , , https://food.ec.europa.eu/system/files/2017-05/cs_contaminants_sampling_guid-doc-ident-mycotoxins.pdf . . [Google Scholar]
- 24.Senyuva H.Z., Gilbert J., Stroka J., Biselli S., De Girolamo A., De Rijk T., De Saeger S., Köppen R., MacDonald S., Neumann G., Patel S., Seefelder W., Tibet U., Trucksess M.W., van Osenbruggen W.A., Zachariásová M. Determination of Fumonisins B1 and B2 in Corn by LC/MS with Immunoaffinity Column Cleanup: Interlaboratory Study J AOAC Int. 2010;93:611. : . , , –. . [PubMed] [Google Scholar]
- 25.Senyuva H.Z., Gilbert J., Türköz G., Leeman D., Donnelly C. Analysis of deoxynivalenol, zearalenone, T-2, and HT-2 toxins in animal feed by LC/MS/MS—a critical comparison of immunoaffinity column clean-up with no clean-up J AOAC Int. 2012;95:1701. doi: 10.5740/jaoacint.11-523. : . , , –. , doi: . [DOI] [PubMed] [Google Scholar]
- 26.Sharma M., Márquez C. Determination of aflatoxins in domestic pet foods (dog and cat) using immunoaffinity column and HPLC Anim Feed Sci Technol. 2001;93:109. doi: 10.1016/S0377-8401(01)00274-7. : . , , –. , doi: . [DOI] [Google Scholar]
- 27.Tangni E.K., Pussemier L., Van Hove F. Mycotoxin Contaminating Maize and Grass Silages for Dairy Cattle Feeding : Current State and Challenges J Anim Sci Adv. 2013;3:492. : . , , –. . [Google Scholar]
- 28.Zhang K., Liao C.-D., Prakash S., Conway M., Cheng H.-F. Interlaboratory Validation of a Stable Isotope Dilution and Liquid Chromatography Tandem Mass Spectrometry Method for the Determination of Aflatoxins in Milk, Milk-Based Infant Formula, and Feed J AOAC Int. 2018;101:677. doi: 10.5740/jaoacint.17-0341. : . , , –. , doi: . [DOI] [PubMed] [Google Scholar]