Introduction {#j_jvetres-2018-0028_s_001}
============

Pyrrolizidine alkaloids (PAs) are synthesised by plants as their secondary metabolites and are considered to be one of the most widespread toxins of natural origin ([@j_jvetres-2018-0028_ref_001], [@j_jvetres-2018-0028_ref_023]). PAs have gained attention in the recent years due to their hepatotoxic, carcinogenic, genotoxic, and pneumotoxic properties ([@j_jvetres-2018-0028_ref_017]).

More than 6,000 plant species produce alkaloids and more than 660 PAs have been identified so far ([@j_jvetres-2018-0028_ref_005], [@j_jvetres-2018-0028_ref_015]). PA-producing plants are introduced or are native species which are considered invasive and noxious weeds. They often infest open ranges and fields leading to contamination of crops and feeds ([@j_jvetres-2018-0028_ref_012], [@j_jvetres-2018-0028_ref_030]).

PAs are esters of amino alcohols, consisting of two basic structure elements: a pyrrolizidine-derived moiety necine and different nono- or dicarboxylic acids. The necine base consists of two fused fivemembered rings with a nitrogen atom at the bridgehead, which can be saturated or contain a double bond in the 1,2-position ([@j_jvetres-2018-0028_ref_015]). PAs occur as free base/tertiary forms and as *N*-oxides which are characterised by different reactivity and solubility leading to different toxicity ([@j_jvetres-2018-0028_ref_003]). Neither form is significantly toxic to humans or animals *per se*. Their hazard arises when they are converted into pyrrolic metabolites in the liver. These highly reactive electrophilic alkylating agents are capable of binding strongly to nucleophilic centres in tissues or cross-linking DNA, leading to hepatotoxicity or carcinogenicity ([@j_jvetres-2018-0028_ref_014]).

Cases of intoxication have been noted worldwide and toxicity effects of some PAs have been well documented in numerous publications ([@j_jvetres-2018-0028_ref_010], [@j_jvetres-2018-0028_ref_013], [@j_jvetres-2018-0028_ref_016], [@j_jvetres-2018-0028_ref_024]). Besides acute intoxications, pyrrolizidine alkaloids are considered to cause delayed progressive chronic effects, including hepatic cirrhosis following even short-term low-level exposure ([@j_jvetres-2018-0028_ref_014]). Chronically poisoned animals often do not show any clinical signs and their serum biochemistry may be normal for several months or even years after PAs ingestion. Nevertheless, the lasting hepatocellular damage leads to increased hepatocyte death with subsequent inflammation, fibrosis, and ultimately cirrhosis ([@j_jvetres-2018-0028_ref_030]). In an analogous way in humans, even single dietary exposure to dehydro PAs can lead to silently progressing chronic diseases which are unlikely to be attributed to dehydro PAs in food ([@j_jvetres-2018-0028_ref_012]).

Animals are exposed to PAs mainly through feed contaminated with plants containing these compounds, though due to the bitter taste, animals usually avoid direct consumption of PA-producing plants ([@j_jvetres-2018-0028_ref_002], [@j_jvetres-2018-0028_ref_015]). It has also been proved that PAs can be transferred to food of animal origin such as milk, eggs, and meat, if animals consume contaminated feed ([@j_jvetres-2018-0028_ref_008], [@j_jvetres-2018-0028_ref_019], [@j_jvetres-2018-0028_ref_027]).

Only a few studies on the contamination of feed materials with PAs have been published hitherto ([@j_jvetres-2018-0028_ref_002], [@j_jvetres-2018-0028_ref_018], [@j_jvetres-2018-0028_ref_020], [@j_jvetres-2018-0028_ref_025]). The problem of PA-contaminated feeds originating from Polish territory has not been well recognised. Only one paper on this subject has been published ([@j_jvetres-2018-0028_ref_021]). In the previous study, PAs were determined with the gas chromatography mass spectrometry method (GC-MS) using the sum parameter approach. This approach allows PAs determination without the necessity of having analytical standards of all the particular PAs. However, the drawback of this approach is that 1,2-unsaturated alkaloids are reduced to their common base structures retronecine and heliotridine, and all information concerning the whole structure is lost. Where that information retained, it could lead to indication which of the alkaloids are present in the analysed material. For this reason, a new liquid chromatography method for determination of selected alkaloids has been developed.

Taking into consideration results reported by other authors ([@j_jvetres-2018-0028_ref_002], [@j_jvetres-2018-0028_ref_018], [@j_jvetres-2018-0028_ref_020], [@j_jvetres-2018-0028_ref_025]), the European Food Safety Authority (EFSA) recommendations, and PA-producing plants occurring in Poland, the following alkaloids were selected for the study: senecionine-type PAs including jacobine, retrorsine, senecionine, and seneciphylline; lycopsamine-type PAs including lycopsamine, intermedine, and echimidine; heliotrine-type PAs including heliotrine and lasiocarpine; and senkirkine ([@j_jvetres-2018-0028_ref_015]). The final determined concentration of PAs also includes the *N*-oxides contribution, as they are reduced with zinc dust and are measured as free base form.

Material and Methods {#j_jvetres-2018-0028_s_002}
====================

**Chemicals and reagents** Sulphuric acid (95%) was from Chempur (Poland), 25% ammonia solution was from POCH (Poland), and formic acid and zinc dust were from Sigma-Aldrich (USA). Ethyl acetate and triethylamine were from Merck (Germany), and methanol and acetonitrile were from J.T. Baker (the Netherlands). Water was purified with the Milli-Q water purification system (Millipore, USA). Analytical standards of intermedine, lycopsamine, jacobine, retrorsine, heliotrine, seneciphylline, senecionine, echimidine, senkirkine, and lasiocarpine were purchased from PhytoLab (Germany). Solid phase extraction (SPE) Strata SCX and polymeric Strata XC cartridges were supplied by Phenomenex (USA). Oasis MCX mixed-mode polymeric cartridges were from Waters (USA) and Bond Elut Plexa PCX and HF Bond Elut-SCX cartridges from Agilent (USA). The cartridges were of 500 mg bed weight and 6 mL volume.

**Standard solutions** Stock standard solutions of intermedine, lycopsamine, jacobine, retrorsine, heliotrine, seneciphylline, senecionine, echimidine, senkirkine, and lasiocarpine were prepared at a concentration of 1 mg mL^-1^ in methanol and stored at −18°C. A mixed standard solution of 1 μg mL^-1^ was prepared by mixing the appropriate volume of each stock standard solution and subsequent serial dilution. The mixed standard solution was stored between 2 and 4°C.

**Feed samples** Analysed feed materials included grass and alfalfa silage (27 and 1 sample, respectively) and hay (4 samples). All analysed samples were available from earlier microbiological studies.

**Sample preparation** Silage was dried in an oven and then ground and homogenised as well as hay. Homogenised feed material (5 g) was weighed into 50 mL polypropylene tubes and 40 mL of 0.05 M sulphuric acid was added. The samples were extracted for 2 h on a horizontal shaker. After extraction, the samples were centrifuged and filtered through cellulose filters. About 1 g of zinc dust was added to filtered extracts to reduce *N*-oxides and the samples were left overnight. On the next day, the samples were slowly shaken for 0.5 h, subsequently centrifuged (4,000 *g*, 10 min), and 15 mL of the extract was purified with SPE. Strata SCX cartridges were preconditioned with 9 mL of methanol and 9 mL of 0.05 M H^2^SO^4^ acid. After sample application, the cartridges were washed with 12 mL of water and 12 mL of methanol and vacuum dried for 2 min, then 6 mL of ethyl acetate was added. For the elution of PAs, 12 mL of solvent mixture consisting of ethyl acetate, methanol, acetonitrile, ammonia, and triethylamine (8:1:1:0.1:0.1 v/v) was used. After evaporation at 40°C in a nitrogen stream the residues were reconstituted in 0.2 mL of water and 0.2 mL of methanol and passed through 0.2 μm PVDF syringe filters into chromatographic vials.

**Instrumental parameters** HP 1200 Series separation modules from Agilent Technologies (USA) were used for the analysis. These modules consisted of a degasser system, binary pump, automatic injector, and column thermostat. A single quadrupole mass spectrometry detector (6140 Agilent Technologies) was also employed. The separation of the alkaloids was carried out on a Gemini 3 μm NX-C18, 150 mm × 4.6 mm column (Phenomenex, USA) coupled with C18 guard column (Phenomenex). The column was thermostatted at 30°C. The mobile phase containing 0.2% formic acid in water (A) and a mixture of methanol and acetonitrile (1:1, v/v) (B) was used in a gradient mode as follows: 0--2 min, 5.5% B; 2--8 min, 12% B; 8--11 min, 20% B; 11--12 min, 30% B; 12--15 min, 40% B; 17--16 min, 70% B; 16--17 min, 85% B; and 17--23 min, 5.5% B. The flow rate was 0.6 mL min^-1^ and the injection volume was 5 μL. Electrospray ionisation (ESI) was set in a positive mode, the capillary voltage was set at 2,000 V, nebulizer pressure was 35 psi, and drying gas flow and temperature were 11.0 L min^-1^ and 300°C, respectively. Fragmentor voltage was set at 100 V for all monitored alkaloids. Selected ion monitoring was used for the detection, and the protonated molecular (M + H)^+^ ions (m/z) monitored are listed in [Table 1](#j_jvetres-2018-0028_tab_001){ref-type="table"}.

###### 

Selected (m/z) ions and retention times of the monitored alkaloids. Determination coefficients obtained for matrix calibration curves in a concentration range corresponding to 0 -- 100 μg kg^-1^ for all analysed alkaloids, and results of matrix effect evaluation. PA -- pyrrolizidine alkaloid, RT -- retention time, R^2^-- coefficient of determination, ME -- matrix effect

  PA               m/z     RT      R^2^    ME (%)
  ---------------- ------- ------- ------- --------
  Intermedine      300.1   6.14    0.999   99.9
  Lycopsamine      300.0   6.37    0.999   108.6
  Jacobine         352.1   6.88    0.999   93.7
  Retrorsine       352.1   8.29    0.996   98.3
  Heliotrine       314.1   8.58    0.999   102.2
  Seneciphylline   334.1   9.11    0.998   98.9
  Senecionine      336.1   11.09   0.998   100.3
  Echimidine       398.0   13.11   0.997   100.6
  Senkirkine       366.1   13.37   0.997   89.9
  Lasiocarpine     412.1   15.03   0.995   101.4

**Identification and quantification** Identification was made by comparison with the relevant reference standard by the retention time and the protonated molecular ion (M + H)^+^. Quantification was achieved using calibration curves prepared by adding the mixed reference standard solution to blank matrix in appropriate amounts before the extraction procedure. Calibration curves were constructed by plotting the peak area *versus* the alkaloid concentrations.

**Validation of the method** In-house validation was conducted according to SANTE/11945/2015 guidelines ([@j_jvetres-2018-0028_ref_028]). Parameters such as linearity, recovery, repeatability, reproducibility, specificity, limit of quantification (LOQ), matrix effect, robustness, and PA stability were evaluated. Tested feed with no determined content of the target compounds was used as a blank matrix.

**Linearity and selectivity** The method's linearity was evaluated using matrix calibration curves. All curves were composed by blank samples fortified with the standards before the extraction procedure and analysed in triplicate. Feed samples were spiked with appropriate concentrations corresponding to 0, 5, 10, 20, 30, 50, and 100 μg kg^-1^.

To determine the selectivity of the method a set of blank feed samples was analysed in order to check the possible presence of endogenous interferences in retention times of the monitored alkaloids.

**Recovery and precision** Recovery and precision were determined by the analysis of feed blanks spiked at three different concentrations, corresponding to 5, 20, and 100 μg kg^-1^ (a set of six samples for each level). The samples were analysed under the same conditions. The repeatability was expressed as relative standard deviation of the results, RSD (%). To determine the reproducibility, also expressed as RSD (%), other two sets of feed samples were spiked at 5, 20, and 100 μg kg^-1^, and analysed on different days with the same instrument.

**Quantification limit and matrix effect** According to the SANTE document ([@j_jvetres-2018-0028_ref_028]) the lowest spike level meeting the method performance criteria for trueness and precision was assumed to be the limit of quantification. Matrix effects are generally recognised as a suppression or enhancement of the analytical signal due to co-eluting matrix components ([@j_jvetres-2018-0028_ref_009]). This effect was evaluated by comparison of the slopes of matrix matched calibration curves with slopes of calibration curves in a solvent.

**Robustness and stability test** The Youden procedure was used to determine the robustness of the method. Blank feeds spiked at the concentration of 20 μg kg^-1^ were analysed in order to assess the influence of seven parameters which were slightly changed. The effects of change of percentage of sulphuric acid (0.05 M, 0.1 M), volume of elution mixture (12 mL, 10 mL), evaporation temperature (40ºC, 45ºC), percentage of formic acid in the mobile phase (0.2%, 0.18%), injection volume (5 μL, 4.5 μL), thermostat temperature (30°C, 27°C), and flow rate (0.6 mL min^-1^, 0.63 mL min^-1^) were evaluated. Student's *t-*test was used to determine the impact of changes in individual parameters on the results of the analysis.

A stability test was performed on SPE purified extracts. Blank feeds were contaminated at the level of 20 μg kg^-1^ before the extraction procedure. Dry extracts were stored at −18ºC, 4ºC, and 20ºC. The extracts were subsequently analysed on days 1, 2, 4, 8, 14, and 30.

Results {#j_jvetres-2018-0028_s_003}
=======

**Validation results** The developed method was validated in-house according to SANTE/11945/2015 guidelines ([@j_jvetres-2018-0028_ref_028]). Matrix calibration curves were linear in the concentration range corresponding to 0--100 μg kg^-1^ for all analysed alkaloids. The linearity was confirmed as coefficients of determination were higher than 0.99 for all monitored PAs ([Table 1](#j_jvetres-2018-0028_tab_001){ref-type="table"}).

All validation parameters ([Table 2](#j_jvetres-2018-0028_tab_002){ref-type="table"}) were determined on the basis of the analysis of sets of blank feed samples spiked at the levels corresponding to concentrations 5, 20, and 100 μg kg^-1^. The recovery was from 84.1% to 112.9%. The repeatability expressed as RSD (%) ranged from 3.0% to 13.6%, and reproducibility was from 4.8% to 18.9%.

###### 

Validation parameters evaluated for ten alkaloids in feed matrix

                   Concentration level (μg kg^-1^)   Concentration level (μg kg^-1^)   Concentration level (μg kg^-1^)                                      
  ---------------- --------------------------------- --------------------------------- --------------------------------- ------ ------ ------ ------ ------ ------
  Intermedine      99.5                              99.1                              89.9                              11.7   13.4   11.2   18.4   16.8   13.9
  Lycopsamine      89.1                              97.9                              87.6                              9.6    11.6   12.8   18.3   10.6   16.8
  Jacobine         99.8                              102.5                             92.3                              9.3    13.6   9.5    10.8   13.7   9.8
  Retrorsine       112.9                             84.1                              97.1                              10.1   10.9   4.0    16.3   18.9   4.8
  Heliotrine       100.5                             93.9                              92.9                              5.7    11.8   5.2    16.3   14.1   5.3
  Seneciphylline   102.3                             100.2                             97.1                              9.5    12.2   4.3    18.8   12.7   5.2
  Senecionine      100.6                             104.6                             94.7                              8.7    12.9   4.5    14.6   13.4   5.5
  Echimidine       110.8                             109.5                             95.0                              7.4    8.9    7.0    13.9   11.8   5.5
  Senkirkine       94.2                              106.4                             97.5                              3.0    5.6    5.9    18.0   9.9    8.0
  Lasiocarpine     100.5                             99.4                              97.2                              6.0    7.9    3.8    11.6   15.1   6.3

The robustness test revealed that chosen variables do not affect the analysis as the calculated standard deviation was not significantly higher than the standard deviation of the method carried out under within-laboratory reproducibility conditions. The results were also compared with the use of Student's *t*-test to determine the impact of changes in individual parameters on the result of the analysis and no significant statistical differences were determined. Only a small retention time shift was observed when the flow rate was changed to 0.63 mL min^-1^, or the thermostat temperature was decreased to 27°C.

On the basis of the performed stability test, it can be stated that extracts of feed samples can be stored at −18°C and at 4°C for about a week without a significant change in PAs concentrations ([Fig. 1](#j_jvetres-2018-0028_fig_001){ref-type="fig"}, data shown only for −18°C).

![Stability of ten PAs in dry SPE-purified extracts of feed matrix, stored at −18°C](jvetres-62-183-g001){#j_jvetres-2018-0028_fig_001}

The method is selective as no interfering peaks were determined in the retention times of the monitored alkaloids ([Fig. 2c](#j_jvetres-2018-0028_fig_002){ref-type="fig"}). The LOQ was established at 5 μg kg^-1^ for the individual alkaloid, as it was the lowest validation level meeting the criteria of SANTE document for trueness and precision.

![SIM chromatograms obtained for: a) 3% ammonia in methanol SPE elution (PAs concentration 20 μg kg^-1^); b) new solvent mixture consisting of ethyl acetate, methanol, acetonitrile, ammonia, and triethylamine (8:1:1:0.1:0.1, v/v) SPE elution (PAs concentration 5 μg kg^-1^); c) blank feed sample. Intermedine (Int), lycopsamine (Lyc), jacobine (Jcb), retrorsine (Ret), heliotrine (Hel), seneciphylline (Snc), senecionine (Sen), echimidine (Ech), senkirkine (Skn), and lasiocarpine (Las)](jvetres-62-183-g002){#j_jvetres-2018-0028_fig_002}

The matrix effect was in the range ±20% ([Table 1](#j_jvetres-2018-0028_tab_001){ref-type="table"}) for all compounds which complies with the SANTE document.

**Real sample application** The developed method was applied to the analysis of 32 feed samples. Analysed feed materials included grass and alfalfa silage and hay. All analysed samples were available from earlier microbiological studies.

Among 32 analysed feed samples, 13 (40.6%) contained at least one of the monitored PAs (2 positive hay samples and 11 positive silage samples). In two samples PAs concentrations were below LOQ value ([Fig. 3](#j_jvetres-2018-0028_fig_001){ref-type="fig"}).

![The content of PAs in positive feed samples. Silage (s), hay (h)](jvetres-62-183-g003){#j_jvetres-2018-0028_fig_003}

Only one sample (silage) showed a high total PAs content of 62.4 μg kg^-1^. The highest determined PAs concentration in hay samples was 42.6 μg kg^-1^. The overall detected PAs concentrations ranged from 5.6 to 62.4 μg kg^-1^, and the average content and median for positive samples were 20.1 μg kg^-1^ and 14.9 μg kg^-1^, respectively. When all samples were included in the calculation, the average PAs concentration was 8.11 μg kg^-1^.

Six samples contained more than one monitored alkaloid. The most abundant PAs were lycopsamine and intermedine. Lycopsamine was present in 61.5% of all positive samples, with the determined concentrations ranging from 5.5 to 31.8 μg kg^-1^. The concentration range of intermedine was \<LOQ -- 55.1 μg kg^-1^ and the alkaloid was present in 46.2 % of all positive samples. Senecionine (\<LOQ -- 14.9 μg kg^-1^), retrorsine (\<LOQ -- 7.2 μg kg^-1^), and senkirkine (6.1 μg kg^-1^) were among other detected alkaloids.

Discussion {#j_jvetres-2018-0028_s_004}
==========

The analysis of plant materials is still problematic even if state-of-the-art analytical equipment is used. PAs are of purely natural origin in contrast to antibiotics or pesticides ([@j_jvetres-2018-0028_ref_011]), and are coextracted with many other natural compounds. The variation in composition of feed materials and trace concentrations of PAs pose analytical challenges regarding sample preparation and instrumental analysis. Therefore, an appropriate cleaning strategy seems to be one of the most important steps in the sample preparation process.

In a previously conducted study GC-MS was used for the determination of PAs in feeds ([@j_jvetres-2018-0028_ref_021]). However, LC-MS technique has one advantage over GC-MS: it provides structural information and therefore alkaloids contributing to the overall contamination can be identified. Moreover, the procedure of sample preparation can be simplified as it does not require PAs reduction to the necine base backbone structures and a subsequent derivatisation step.

Previously hydrochloric acid was chosen as the most effective solvent for PAs extraction from feed matrix. However, in the case of liquid chromatography, better results, especially when it comes to the purity of the chromatograms, were obtained with sulphuric acid. Nevertheless, the recoveries, as well as the conversion of *N*-oxides into their free base forms were very comparable with the use of both acids, as it was also found before ([@j_jvetres-2018-0028_ref_021]).

In contrast to honey analysis, in the case of feed and other plant materials, there is no single dominant method of sample preparation and extract purification. Bolechová *et al* ([@j_jvetres-2018-0028_ref_002]) applied the QuEChERS method and extraction with acetonitrile and 0.1% formic acid in water. Huybrechts and Callebaut ([@j_jvetres-2018-0028_ref_020]) extracted the PAs with an aqueous solution of HCl with the addition of NaCl and analysed the extracts without further purification. Mulder *et al* ([@j_jvetres-2018-0028_ref_025]) used 2% formic acid for the extraction of PAs from feeds followed by purification on Strata X cartridges with methanol used for PAs elution. Gottschalk *et al* ([@j_jvetres-2018-0028_ref_018]) also used 2% formic acid for PAs isolation, however, for the purification cation exchange cartridges and PAs elution with 5% ammonia in methanol were applied. For extraction of PAs from herbal products and teas Crammer *et al* ([@j_jvetres-2018-0028_ref_006]), Bodi *et al* ([@j_jvetres-2018-0028_ref_001]), and Schulz *et al* ([@j_jvetres-2018-0028_ref_029]) utilised 0.05 M sulphuric acid and purification with C18 or cation exchange cartridges. For the PAs elution methanol or ammonia in methanol were selected. In all cases LC-MS/MS was used for the instrumental analysis. However, none of the approaches described above were useful for the LC-MS analysis. The obtained eluates were not properly purified and many other compounds interfered with the target PAs. In fact, the detection of PAs at the concentration of 20 μg kg^-1^ was impossible when 3% ammonia in methanol was used as an eluent in combination with an Strata SCX cartridge (Fig. 2a). For this reason a new protocol for sample purification had to be developed.

In the previously conducted studies, a new elution mixture consisting of ethyl acetate, methanol, ammonia and triethylamine (8:2:0.1:0.1 v/v) was developed to improve the sufficiency of the SPE clean-up of honey matrix ([@j_jvetres-2018-0028_ref_022]).

This elution mixture was also tested in the SPE purification of feed extracts, and it gave much better results than 3% of ammonia in methanol. However, to obtain the most efficient results, a different combination of solvents (ethyl acetate, methanol, ammonia, triethylamine, and acetonitrile) and different cation exchange cartridges (MCX, Strata SCX, PCX, Strata XC, and HF) were also evaluated.

The best purification effect was obtained for the Strata SCX cartridge; however, when the solvent combination was regarded, the best results were yielded by the mixture consisting of ethyl acetate, methanol, acetonitrile, ammonia, and triethylamine (8:1:1:0.1:0.1, v/v). The recovery rates of all target alkaloids were also at satisfactory levels. Application of this new elution mixture had crucial importance especially in the case of identification and quantification of the low concentration of monitored PAs in feed materials. In comparison to elution with 3% ammonia in methanol, the quantification of PAs at the level of 5 μg kg^-1^ could be carried out easily (Fig. 2b). Consequently, it positively influenced the sensitivity of the LC-MS method and could be compared with protocols based on the LC-MS/MS technique ([@j_jvetres-2018-0028_ref_002], [@j_jvetres-2018-0028_ref_025]).

The mobile phase has to be optimised to obtain the best separation of the analysed compounds. Formic acid of different concentrations, in several cases in combination with ammonium formate ([@j_jvetres-2018-0028_ref_001], [@j_jvetres-2018-0028_ref_006], [@j_jvetres-2018-0028_ref_018], [@j_jvetres-2018-0028_ref_029]), was used as the most popular modifier of water and organic mobile phases ([@j_jvetres-2018-0028_ref_004], [@j_jvetres-2018-0028_ref_011], [@j_jvetres-2018-0028_ref_017], [@j_jvetres-2018-0028_ref_023]). In all published methodologies acetonitrile or methanol was used as the organic phase. However, proposed mobile phases did not always provide good separation of all alkaloids, especially when it came to enantiomeric structures such as intermedine and lycopsamine that usually are co-eluted. In our method, the mixture of methanol and acetonitrile (1:1, v/v) was used as the organic phase. This combination of the organic solvents provided good separation of all analysed alkaloids, including the enantiomeric structures.

Several reversed phase C18 columns were tested during optimisation of the separation of the analysed PAs. The best results as far as the separation and peak shape are concerned were obtained with a Gemini NX-C18, 150 mm × 4.6 mm, 3 μm column and a mobile phase consisting of 0.2% formic acid in water (A) and a mixture of methanol and acetonitrile (1:1, v/v) (B).

PAs have easily ionisable nitrogen in the ring system and the protonation of PAs molecules can be achieved ([@j_jvetres-2018-0028_ref_007]), that is why ESI in a positive ionisation mode was chosen for the analysis. To optimise all parameters affecting ESI source operation, flow injection analysis (FIA) was used.

The method was successfully validated according to the SANTE/11945/2015 recommendations ([@j_jvetres-2018-0028_ref_028]). Quantification was based on matrix calibration curves. The method showed adequate linearity in a concentration range 0--100 μg kg^-1^ with determination coefficient R^2^ \> 0.99 for all analysed alkaloids. All determined parameters met the SANTE document criteria as recovery was in the range of 70%--120% and relative standard deviations of repeatability and reproducibility were ≤20%. The obtained recovery values for the target PAs were in the range 84.1%--112.9% and were slightly higher than values reported by Bolechová *et al* ([@j_jvetres-2018-0028_ref_002]), who achieved recoveries in the range of 72%--98%, and Gottschalk *et al* ([@j_jvetres-2018-0028_ref_018]), who found recoveries in the range of 69%--104%. The method proved to be selective, as no interfering peaks were determined in the retention times assigned to the particular alkaloid. It can also be affirmed that the method is robust to slight changes in selected performance parameters.

Feeds are considered difficult and complex materials containing a lot of compounds which might interfere and cause both signal suppression and signal enhancement at MS detection. A matrix effect could be noticed in the case of alkaloids such as jacobine or senkirkine; however, the values are still in the acceptable range. According to the PA stability results, the purified extracts can be stored for about a week, which is in line with previously obtained results for extracts prepared for GC-MS analysis ([@j_jvetres-2018-0028_ref_021]).

Plant material is a very difficult matrix, and often methods based on LC-MS/MS have higher LOQ values for the same alkaloids when analysed in plant material than matrices such as honey, meat, or eggs ([@j_jvetres-2018-0028_ref_001], [@j_jvetres-2018-0028_ref_026]). For the developed method the LOQ was established at 5 μg kg^-1^ for the individual alkaloid, as it was the lowest validation level. This LOQ value is comparable with, or even lower than LOQs reported for methods based on LC-MS/MS methodology that were used for determination of PAs in feeds ([@j_jvetres-2018-0028_ref_002], [@j_jvetres-2018-0028_ref_025]) or in other plant materials such as herbal teas ([@j_jvetres-2018-0028_ref_029]).

The developed method was applied to the analysis of 32 feed samples. Among detected alkaloids, lycopsamine and intermedine were the most abundant compounds, followed by senecionine and retrorsine. This is in line with Huybrechts and Callebaut ([@j_jvetres-2018-0028_ref_020]), who also reported that lycopsamine and intermedine were the most frequently detected alkaloids in feed samples with a lower contribution of senecionine and retrorsine. Also, Gottschalk *et al* ([@j_jvetres-2018-0028_ref_018]) reported the presence of intermedine, lycopsamine and senecionine in analysed silage samples. Bolechová *et al* ([@j_jvetres-2018-0028_ref_002]) determined retrorsine and senecionine in feed for chickens and senkirkine in silage samples. However, in contrast to other authors reporting PAs contamination in feed materials ([@j_jvetres-2018-0028_ref_002], [@j_jvetres-2018-0028_ref_020], [@j_jvetres-2018-0028_ref_025]), seneciphylline was not detected in any of the analysed materials. This may be due to the difference in the plant species, which was a source of contamination, as well as the variability of the composition and concentration of alkaloids in the same plant species, which strongly depends on the environmental conditions prevailing in a particular year, growth stage, part of the plant, and geographical origin.

Determined concentrations can be regarded as low and are consistent with results reported in the previously conducted study where a GC-MS technique was used for PAs determination in feed materials ([@j_jvetres-2018-0028_ref_021]). The determined levels are also in agreement with the PAs contamination results of feeds of European origin reported by Mulder *et al* ([@j_jvetres-2018-0028_ref_025]), Bolechová *et al* ([@j_jvetres-2018-0028_ref_002]), Huybrechts and Callebaut ([@j_jvetres-2018-0028_ref_020]), and Gottschalk *et al* ([@j_jvetres-2018-0028_ref_018]). Mean values of PAs concentrations in silage reported by the authors were in the range of 4.8--25.7 μg kg^-1^. In our study the average content of PAs in positive samples was 20.1 μg kg^-1^. Mulder *et al* ([@j_jvetres-2018-0028_ref_025]) and Gottschalk *et al* ([@j_jvetres-2018-0028_ref_030]) reported 30 μg kg^-1^ as the highest PAs concentration detected in silage samples. In our study, the highest PAs content was determined at the level of 62.4 μg kg^-1^, which is higher but is still comparable with other authors' results.

Hoogenboom *et al* ([@j_jvetres-2018-0028_ref_019]) studied the transfer of PAs from feed to milk in dairy cows. The transfer rate was about 0.1% of the overall daily dose of PAs. The authors showed that the rate of PAs transferred to milk depended on the type of alkaloid. *N*-oxides were not detected in milk even though they made a large contribution to the content of PAs in contaminated feed. However, the highest transfer rate was observed for jacoline, even though it was not the main contributor to the overall content of PAs in feed ([@j_jvetres-2018-0028_ref_019], [@j_jvetres-2018-0028_ref_027]). This was also confirmed by Mulder *et al* ([@j_jvetres-2018-0028_ref_027]), who studied the transfer of PAs to eggs and meat in laying hens. The author found that the transfer rates were relatively low, ranging from 0.02% to 0.23% and also depended on the PAs composition of the plant containing the alkaloids ([@j_jvetres-2018-0028_ref_027]). Considering the transfer rates and the highest content of PAs determined in our study, it can be concluded that the detected concentrations should not pose the risk of alkaloid transfer into food such as milk or meat.

Regarding acute poisoning, it can also be stated that the determined PAs concentrations should not pose a risk to the animals. The reported cumulative lethal dose for cows is 2.5 mg PAs kg^-1^ body weight per day (which translates to 1,500 mg for a cow of 600 kg) during exposure for 18 days ([@j_jvetres-2018-0028_ref_018], [@j_jvetres-2018-0028_ref_030]). In our study, the highest detected concentration was 62.4 μg kg^-1^, which would be only 0.06% of the lethal dose in the case of 15 kg of silage consumption. However, the detected concentrations, if consumed in the long term, especially in combination with other toxins, may adversely affect animals.

In conclusion, the EFSA has recommended the development of sensitive and selective methods suitable for determination of PAs in feeds, and the presented method fulfils the Agency's requirements of selectivity and sensitivity. Application of the new elution mixture consisting of ethyl acetate, methanol, acetonitrile, ammonia, and triethylamine significantly improved the purification effect and markedly improved the sensitivity of the method. Validation according to SANTE/11945/2015 proved the method's reliability. The developed method was applied to the analysis of 32 feed samples, of which almost 41% were positive for at least one of the PAs. Detected PAs concentrations were relatively low and should not be of concern as a cause of acute poisoning of animals or the transfer of PAs to food of animal origin; however, in the long term consumption they may affect the health of animals.

**Conflict of Interests Statement** The authors declare that there is no conflict of interests regarding the publication of this article.

**Financial Disclosure Statement** The research was financed from the Institute's statutory sources.

**Animal Rights Statement** None required.
