Journal of Analytical Toxicology 2012;36:340 –344 doi:10.1093/jat/bks026 Article Comparison of Five Derivatizing Agents for the Determination of Amphetamine-Type Stimulants in Human Urine by Extractive Acylation and Gas Chromatography –Mass Spectrometry Adrienn Dobos*, Eló´d Hidvégi and Gábor Pál Somogyi National Institute of Forensic Toxicology, H-1146 Budapest, Varannó utca 2-4, Hungary *Author to whom correspondence should be addressed. Email: [email protected] Five acylation reagents have been compared for use as derivatizing agents for the analysis of amphetamine-type stimulants (ATS) in urine by gas chromatography–mass spectrometry (GC–MS). The evaluated reagents were heptafluorobutyric anhydride, pentafluoropropionic anhydride, trifluoroacetic anhydride, acetic anhydride (AA) and N-methyl-bis(trifluoroacetamide). The ATS included amphetamine, methamphetamine (MA), 3,4-methylenedioxyamphetamine (MDA), 3,4-methylenedioxymethamphetamine (MDMA) and 3,4methylenedioxyethylamphetamine (MDEA). A mixture of the ATS was added to urine (1 mL) followed by KOH solution and saturated NaHCO3 solution. The sample was then extracted with dichloromethane and the derivatizing agent and 2 mL were injected into the GC–MS instrument. The derivatizing agents were compared with reference to the signal-to-noise (S/N) ratios, peak area values, relative standard deviations (RSDs), linearities, limits of detection (LODs) and selectivities. The acetic anhydride proved to be the best according to the S/N ratio and peak area results for amphetamine, MA, MDMA and MDEA. The best RSD values of peak areas and of S/N ratios at 3 mg/mL were also given by AA in cases of MDA, MDMA and MDEA. At 20 mg/mL, the lowest RSD values of peak areas for MDA and the lowest RSD values of S/N ratios for MA, MDA, MDMA and MDEA were again given by AA. Additionally, the highest correlation coefficients for MA, MDA, MDMA and MDEA and the lowest LOD results for MA, MDMA and MDEA were produced by AA. Introduction Amphetamine-type stimulants (ATS) are the second most commonly abused drugs in Hungary, after cannabinoids (1). Their popularity appears to be based on the mistaken belief that ATS are less dangerous and addictive than other types of drug. ATS are used either as appetite suppressants or as stimulant party drugs, because their entactogenic effects facilitate social interactions (2). ATS abuse in Hungary has increased by a factor of 100 over the last two decades (3 –4) and faster and more reliable analytical methods are needed. On-line acylation effectively reduces the sample preparation time. Three different techniques have been used: on-column acylation (5– 11), headspace solid-phase microextraction (HS-SPME) with on-fiber acylation (11–16) and extractive acylation (17 –18). Extractive acylation was selected for this study because quantitative HS-SPME is insufficiently reproducible and on-column acylation may cause column deterioration. Anhydrides are the most popular derivatizing agents for extractive acylation, but it is not obvious which would be the most effective in the case of ATS. Four reagents were evaluated, including heptafluorobutyric anhydride (HFBA), pentafluoropropionic anhydride (PFPA), trifluoroacetic anhydride (TFA) and acetic anhydride (AA). In addition, N-methyl- bis(trifluoroacetamide) (MBTFA) was also included for comparison purposes, although it is not an anhydride, because MBTFA is currently used as an on-column derivatizing agent at the National Institute of Forensic Toxicology for the determination of ATS in biological fluids (5 –6). Some of the most frequently abused ATS in Hungary are amphetamine, methamphetamine, 3,4-methylenedioxyamphetamine (MDA), 3,4-methylenedioxymethamphetamine (MDMA) and 3,4-methylenedioxyethylamphetamine (MDEA), so these were selected as the target analytes. Materials and Methods Chemicals and reagents The reference standards of (+)-amphetamine, (+)methamphetamine, (+)-MDA, (+)-MDMA and (+)-MDEA as their hydrochloride salts were purchased from the National Measurement Institute (Australian Government, Pymble, NSW, Australia). Stock solutions of these standards were prepared in distilled water at a concentration of 2 mg/mL. A mixture containing each of the ATS at a concentration of 200 mg/mL was then prepared and this was further diluted to give a standard with a concentration of 10 mg/mL. HFBA, PFPA and MBTFA were obtained from Sigma-Aldrich Chemie (Steinheim, Germany) and were of derivatization grade. TFA and AA, purity 99.0%, were obtained from Fluka Analytical (Sigma-Aldrich Chemie). Tert-butyl methyl ether was from Merck (Darmstadt, Germany), dichloromethane and hydrochloric acid were from Sharlau Chemie S.A. (Barcelona, Spain) and potassium hydroxide and sodium hydrogen carbonate were from Reanal (Hungary). Blank urine samples were collected with informed consent from laboratory staff and were confirmed to be negative for the target analytes before use by analysis with the current procedure. Sample preparation ATS were extracted and derivatized at the same time in the following way: 1 mL blank urine was spiked with 100 mL of the 200 mg/mL amphetamine standard mixture and was then mixed with 250 mL buffer (10 M KOH–saturated NaHCO3, 3:17 v:v), 1,500 mL dichloromethane and one of the derivatizing agents. To have equimolar quantities of the derivatizing agents, the following quantities were added to the samples after dichloromethane; 50 mL of PFPA, 62 mL of HFBA, 35 mL of TFA, 24 mL of AA and 36 mL of MBTFA. All the samples were vortexed immediately for 2 min after adding the derivatizing agent and were then centrifuged at 3,000 rpm for 5 min. After centrifugation, # The Author [2012]. Published by Oxford University Press. All rights reserved. For Permissions, please email: [email protected] the lower organic layer was transferred to a clean vial and 2 mL was injected into the gas chromatography –mass spectrometry (GC– MS) instrument. Samples were prepared in triplicate on four consecutive days at concentrations of 3.0 and 20.0 mg/mL. The data obtained were used to calculate signal-to-noise (S/N) ratios, peak areas and relative standard deviation (RSD) values. For the linearity study, blank urine samples were prepared in quadruplicate and spiked with ATS at five different concentrations: 0.1, 0.3, 2.0, 5.0 and 8.0 mg/mL, covering the range in which ATS are usually measured in our institute (0.3 to 8.0 mg/mL). For the LOD study, a pool of blank urine was spiked with ATS at a concentration of 125 ng/mL of each analyte and the following concentrations were achieved by dilution with blank urine: 62.5, 31.25 and 15.63 ng/mL. The rest of the procedure was as described previously. For the selectivity study, interferences from ephedrine, pseudoephedrine, phentermine, ketamine and some of the newer ATS, mephedrone, methylone, methylenedioxypyrovalerone (MDPV) and 4-methyl-N-ethylcathinone (4-MEC) were examined. These substances and the amphetamine type analytes were spiked in blank urine at a concentration of 20 mg/mL of each analyte. GC–MS conditions Chromatographic analyses were performed on a Shimadzu QP5000 GC –MS system with Shimadzu Class 5000 software Version 2.23 and fitted with a Restek Rtx-5MS capillary column (length 30 m, internal diameter 0.25 mm, film thickness 0.25 mm). The injector was operated in splitless mode (sampling time: 0.1 min), split ratio 1:14 at a temperature of 2708C and helium carrier gas pressure of 120 kPa, total flow 0.8 mL/min. The sample volume was 2 mL. The column temperature program was: 908C (1 min) increased to 2008C at 208C/min, then to 2908C at 308C/min, with a final hold time of 16 min. The interface temperature was 2808C. The mass spectrometer was operated in EIþ full scan mode (m/z 40 –500), except in the limit of detection (LOD) study, when selected ion monitoring (SIM) mode was used with a sampling interval of 0.30 s per channel. The observed fragment ions and relative ion intensities for the different ATS derivatives are summarized in Table I. The fragment ions in bold were used to calculate peak areas, S/N ratios and RSD values. Results and Discussion The S/N ratios (s ¼ 2), peak area values and RSD values of the analyzed samples were calculated from the three replicate measurements on four consecutive days at concentrations of 3.0 and 20.0 mg/mL with each derivatizing agent. The RSD values were calculated from the peak areas and S/N ratios. The results are shown in Tables II–V. Considering the results for all five ATS derivatives, AA proved to be the most effective reagent according to the S/N ratios and their RSD values at 3.0 and 20.0 mg/mL (Tables II–III), although the fragment ions of the derivatives are in a range at which the noise is high due to ions originating from the matrix. PFPA was the second best reagent and MBTFA, TFA and HFBA were the least effective. These findings were supported by the peak area values at 3.0 and 20.0 mg/mL (Tables IV– V), at which acetic anhydride gave better results Table I Fragment ions and relative ion intensities (Fragment ions in bold were used in the calculation of peak areas and signal-to-noise ratios) Target substances PFPA m/z Relative ion intensity (%) m/z Relative ion intensity (%) m/z Relative ion intensity (%) m/z Relative ion intensity (%) m/z Relative ion intensity (%) Amphetamine 190 118 91 204 160 118 135 162 325 204 162 135 218 162 353 100 79 42 100 28 24 100 45 16 100 64 38 100 44 12 240 118 169 254 210 118 135 162 375 254 210 162 268 240 162 100 15 7 100 26 5 100 91 36 100 40 40 100 44 40 44 86 118 58 91 100 44 135 162 58 100 162 72 114 162 100 17 9 100 37 9 100 26 8 100 23 14 100 30 16 140 118 117 154 110 118 135 162 100 49 11 100 26 19 100 41 140 118 117 154 110 118 135 162 100 40 11 100 24 19 100 41 154 162 135 168 162 140 100 61 60 100 87 75 154 162 135 168 162 140 100 61 60 100 87 75 Meth-amphetamine MDA MDMA MDEA HFBA AA TFA MBTFA Table II Signal-to-noise (S/N) ratios and relative standard deviations (RSD) for five different amphetamine type stimulant derivatives at a concentration of 3.0 mg/mL Signal to noise ratio at 3 mg/mL PFPA HFBA AA TFA MBTFA Amphetamine Methamphetamine MDA Mean RSD(%) of S/N Mean RSD(%) of S/N Mean RSD(%) of S/N MDMA Mean RSD(%) of S/N MDEA Mean RSD(%) of S/N 213 205 564 398 138 9,53 5,19 5,99 14,76 8,25 300 201 985 306 240 8,97 5,79 4,78 14,32 4,48 351 304 473 559 225 8,05 7,32 4,43 12,04 6,70 201 120 963 132 268 8,86 7,19 6,56 11,85 8,14 155 53 1185 54 146 11,77 10,09 6,00 12,74 6,40 Mass Spectrometry 341 Table III Signal-to-noise (S/N) ratios and relative standard deviations (RSD) for five different amphetamine type stimulant derivatives at a concentration of 20.0 mg/mL Signal to noise ratio at 20 mg/mL PFPA HFBA AA TFA MBTFA Amphetamine Methamphetamine MDA Mean RSD(%) of S/N Mean RSD(%) of S/N Mean RSD(%) of S/N MDMA Mean RSD(%) of S/N MDEA Mean RSD(%) of S/N 3622 988 5565 1061 1901 12,69 4,69 10,95 11,74 14,86 4175 1002 5966 627 3722 13,48 5,74 5,51 9,40 14,99 5097 1454 4927 1675 1635 11,31 7,35 6,76 10,94 12,73 2548 1054 7753 435 3281 11,44 7,68 7,30 10,18 14,39 1172 310 8278 343 1716 8,90 7,79 6,66 11,62 15,00 Table IV Peak area values and relative standard deviations (RSD) for five different amphetamine type stimulant derivatives at a concentration of 3.0 mg/mL Peak area at 3 mg/mL PFPA HFBA AA TFA MBTFA Amphetamine Methamphetamine MDA Mean RSD(%) Mean RSD(%) Mean RSD(%) MDMA Mean RSD(%) Mean MDEA RSD(%) 18562 13981 105405 62647 16073 8,66 5,51 6,03 11,84 5,73 17647 10251 115431 29418 24105 8,84 5,38 6,34 12,48 5,92 32977 15751 63768 52948 33238 8,00 7,58 5,20 11,06 7,96 8022 4478 84275 8296 16846 7,44 7,04 6,05 11,58 7,93 4411 1795 84412 2151 7388 7,70 6,61 6,40 11,30 7,44 Table V Peak area values and relative standard deviations (RSD) for five different amphetamine type stimulant derivatives at a concentration of 20.0 mg/mL Peak area at 20 mg/mL PFPA HFBA AA TFA MBTFA Amphetamine Methamphetamine MDA MDEA RSD(%) Mean RSD(%) Mean RSD(%) Mean RSD(%) Mean RSD(%) 475042 102827 1047965 56222 425659 13,88 4,74 8,59 8,91 16,71 435160 70257 1210692 35359 605282 13,81 4,26 8,69 10,43 16,58 723888 176925 625936 150808 538752 11,86 7,45 6,49 9,52 13,77 199837 40035 894223 28818 280108 11,83 6,16 6,65 11,01 13,75 91709 13229 950910 11331 136662 12,07 6,63 6,82 11,62 13,60 than the other derivatizing agents. MBTFA was the second best reagent according to the peak area values, and was followed by PFPA. HFBA and TFA had the lowest peak area values. According to the RSD values of peak areas at 3.0 and 20.0 mg/mL (Tables IV–V), the best results were given by PFPA and the second best by AA. All anhydrides proved to be suitable for ATS derivatization because neither of them exceeded 15%, which is the recommended RSD limit (19). The only exception was MBTFA at a concentration of 20.0 mg/mL for amphetamine, and methamphetamine for which the values were between 16 and 17%. Linear correlation coefficients (R2) were calculated from the quadruplicate analyses at five concentrations (0.1, 0.3, 2.0, 5.0 and 8.0 mg/mL; Table VI). All R2 values were greater than 0.90. The best results were obtained with acetic anhydride, for which all values were higher than 0.99, followed by PFPA, HFBA and then MBTFA. TFA had the lowest R2 values except for amphetamine, for which it gave the best result. The LOD was measured in SIM mode using urine spiked with ATS in the range 15.63 to 125 ng/mL. The S/N ratio was calculated from triplicate measurements at four different concentrations (15.63, 31.25, 62.5 and 125 ng/mL). The lowest concentration at which the S/N ratio was greater than 3 was considered to be the LOD. The best result was given by HFBA, followed by acetic anhydride, MBTFA, PFPA and finally, TFA (Table VII). 342 Dobos et al. MDMA Mean Table VI Correlation coefficient (R2) for five different amphetamine type stimulant derivatives Correlation coefficient Amphetamine Methamphetamine MDA MDMA MDEA PFPA HFBA AA TFA MBTFA 0.9808 0.9833 0.9966 0.9993 0.9692 0.9838 0.9870 0.9953 0.9098 0.9714 0.9835 0.9750 0.9984 0.9519 0.9655 0.9865 0.9860 0.9959 0.9320 0.9717 0.9808 0.9623 0.9922 0.9320 0.9663 Table VII Limits of detection for five different amphetamine type stimulant derivatives LoD (ng/mL) Amphetamine Methamphetamine MDA MDMA MDEA PFPA HFBA AA TFA MBTFA 125 16 63 125 125 31 16 16 125 31 31 31 63 63 31 63 31 16 125 31 125 31 16 125 125 Eight compounds besides the five ATS were examined in the interference study: ephedrine, pseudoephedrine, phentermine, ketamine, mephedrone, methylone, MDPV and 4-MEC (Figure 1). However, in the case of some derivatizing agents, more than eight potentially interfering peaks appeared after spiking with the interferents, due to low yields of derivatization. AA was the only reagent that did not leave behind significant underivatized target compounds. Figure 1. Total ion chromatograms from interference studies for five different amphetamine type stimulant derivatives. (Amph ¼ amphetamine, Phent ¼ phentermine, MA ¼ methamphetamine, Eph ¼ ephedrine, Meph ¼ mephedrone, Pseu ¼ pseudoephedrine, Methy ¼ methylone, Keta ¼ ketamine). Mass Spectrometry 343 The method was not sensitive for ephedrine and pseudoephedrine at the spiked concentration and their underivatized form could not be detected in any of the samples. The cause could be low extraction efficiency. Their acyl derivatives could only be identified using AA, MBTFA and PFPA. No coelution problems were observed except in one case: MDA could not be seperated effectively from 4-MEC if they were derivatized with AA. However, they have no common fragment ions and can be distinguished from each other. In conclusion, AA is the best choice from these derivatizing agents. HFBA and PFPA can be used, but TFA and MBTFA are not recommended for extractive acylation. In addition, AA is the least expensive reagent, so its use is not only time-saving but costsaving. Our future aim will be to validate a method using AA. 9. 10. 11. 12. Acknowledgments The authors would like to thank Ms Szilvia Mrázik for her excellent technical assistance and Ágnes Kerner, Pharm.D. and Dr. Robert Anderson for their technical advice. 13. References 14. 1. Hungarian National Focal Point. 2009 national report to the EMCDDA by the Reitox National Focal Point. http://www.emcdda. europa.eu/html.cfm/index111966EN.html (January 2011). 2. Ujváry, I. (2000) Az amfetamin-tı́pusú drogok kultúrtörténete, kémiája, farmakológiája és toxikológiája. Psychiatria Hungarica, 15, 641–687. 3. Nagy, J. (2003) évi Jelentés a magyarországi kábı́tószerhelyzetró´l. http://www.szmm.gov.hu/main.php?folderID=901 (January 2011) 4. Drognet. http://drognet.uw.hu/statiszt/statisztika.htm (September 2011). 5. Hidvégi, E., Fábián, P., Hideg, Zs., Somogyi, G.P. (2006) GC-MS determination of amphetamines in serum using on-line trifluoroacetylation. Forensic Science International, 161, 119– 123. 6. Hidvégi, E., Hideg, Zs., Somogyi, G.P. (2008) Different reactivities of amphetamines with N-methyl-bis(trifluoroacetamide) in heated gas chromatographic injectors. Pharmazie, 63, 233– 234. 7. Miki, A., Katagi, M., Zaitsu, K., Nishioka, H., Tsuchihashi, H. (2008) Development of a two-step injector for GC-MS with on-column derivatization, and its application to the determination of amphetamine-type stimulants (ATS) in biological specimens. Journal of Chromatography B, 865, 25– 32. 8. Tzing, S.H., Ghule, A., Liu, J.Y., Ling, Y.C. (2006) On-line derivatization gas chromatography with furan chemical ionization tandem 344 Dobos et al. 15. 16. 17. 18. 19. mass spectrometry for screening of amphetamines in urine. Journal of Chromatography A, 1137, 76 –83. El-Haj, B.M., Al-Amri, A.M., Hassan, M.H., Ali, H.S., Bin Khadem, R.K. (2003) The use of cyclohexanone as a “derivatizing” reagent for the GC-MS detection of amphetamines and ephedrines in seizures and the urine. Forensic Science International, 135, 16– 26. Valentine, J.L., Middleton, R. (2000) GC-MS identification of sympathomimetic amine drugs in urine: Rapid methodology applicable for emergency clinical toxicology. Journal of Analytical Toxicology, 24, 211– 222. Namera, A., Yashiki, M., Liu, J., Okajima, K., Hara, K., Imamura, T. et al. (2000) Simple and simultaneous analysis of fenfluramine, amphetamine and methamphetamine in whole blood by gas chromatography-mass spectrometry after headspace-solid phase microextraction and derivatization. Forensic Science International, 109, 215– 223. Huang, M.K., Liu, C., Huang, S.D. (2002) One step and highly sensitive headspace solid-phase microextraction sample preparation approach for the analysis of methamphetamine and amphetamine in human urine. Analyst, 127, 1203– 1206. Lee, M.R., Song, Y.S., Hwang, B.H., Chou, C.C. (2000) Determination of amphetamine and methamphetamine in serum via headspace derivatization solid-phase microextraction-gas chromatographymass spectrometry. Journal of Chromatography A, 896, 265– 273. Namera, A., Yashiki, M., Kojima, T., Ueki, M. (2002) Automated headspace solid-phase microextraction and in-matrix derivatization for the determination of amphetamine-related drugs in human urine by gas chromatography-mass spectrometry. Journal of Chromatographic Science, 40, 19– 25. Jurado, C., Giménez, M.P., Soriano, T., Menéndez, M., Repetto, M. (2000) Rapid analysis of amphetamine, methamphetamine, MDA, and MDMA in urine using solid-phase microextraction, direct on-fiber derivatization, and analysis by GC-MS. Journal of Analytical Toxicology, 24, 11 –16. Kataoka, H., Saito, K. (2011) Recent advances in SPME techniques in biomedical analysis. Journal of Pharmaceutical and Biomedical Analysis, 54, 926– 950. Kankaanpää, A., Gunnar, T., Ariniemi, K., Lillsunde, P., Mykkänen, S., Seppälä, T. (2004) Single step procedure for GC MS screening and quantitative determination of amphetamine-type stimulants and related drugs in blood, serum, oral fluid and urine samples. Journal of Chromatography B, 810, 57 –68. Marais, A.A.S., Laurens, J.B. (2009) Rapid GC-MS confirmation of amphetamines in urine by extractive acylation. Forensic Science International, 183, 78– 86. Paul, L.D., Mußhoff, F. (2009) Richtlinie der GTFCh zur Qualitätssicherung bei forensisch-toxikologischen Untersuchungen. Toxichem Krimtech, 76, 142–176.
© Copyright 2026 Paperzz