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Online SPE-LC-APCI-MS/MS for the Determination of Steroidal Hormones in Drinking Water presented by Paul Fayad, Ph.D. D. Candidate under the supervision of Sbastien Sauv, Ph.D. D. Department of Chemistry paul.fayad@umontreal.ca


  1. Online SPE-LC-APCI-MS/MS for the Determination of Steroidal Hormones in Drinking Water presented by Paul Fayad, Ph.D. D. Candidate under the supervision of Sébastien Sauvé, Ph.D. D. Department of Chemistry paul.fayad@umontreal.ca

  2. Exploring the problematic: context

  3. Context  Cont ntroversial effects of endocrine disrupting compounds (EDCs) in humans:  Reduction of male births around the world (Canada, Denmark)  Increase cancer rates (testicular, breast and prostate)  Early puberty in young women (7 and 8 years old!)  Lower sperm counts/quality (1992, 61 articles and 2000, 101 articles) Landrigan P., Env nviron. n. Health h Perspe pect. , 2003 (13), 1678; Mendes J.J.A., Food ood Chemi.Tox oxicol. , 2002 (40), 781; Swan S.H., Env nviron. n. Health h Perspe pect. , 2000 (10), 961.

  4. Context  De Demonstra rated effects of EDCs in the aquatic environment :  Reproduction decrease in fish species (pulp and paper industries)  Altered male/female ratios (crocodiles and turtles)  Increase cancer rates in fish (testicular and liver) Populations : fathead minnow fish in 2 ontarien experimental lakes (Kidd et al. , 2007) With 5-6ng/L E2 Snyder A., Env nviron. n. Eng ng. Sci. , 2003 (20), 240; (6) Tillmann M., Ecot otox oxicol ol. 2001 (10), 373; (7) Kidd K.A., PNAS , 2007 (104), 8897

  5. Context  EDCs (such as steroid hormones) concentrations that can cause these deleterious effects in the aquatic environment are very low, between 0.1 and 5 ng/L. ≈ 1 grain of sugar in an Olympic size pool (2 500 2 500 000 000 L) ! !  Therefore the development of analytical methods able to detect and quantify these EDCs, such as steroid hormones, is of importance, especially when considering their known effect on wildlife and potential impact on humans in the future. Weber L.P., Aqua.Tox oxicol ol. , 2003 (63), 431

  6. Analytical challenges: dilution and interferences

  7. Dilution  The total volume of treated wastewater by a treatment plant in Canada is evaluated at 42214 million m 3 , i.e. ~1420 L per person per day. Source: Picture takin by Environnement Canada (2001) of St-Lawrence river in Montreal (Qc, Canada) 1800 L/person/per day 1600 1400 1200 1000 800 600 Dilution 400 200 0 Source: Adapted from OECD Factbook 2007: Economic, Environmental and Social Statistics - ISBN 92-64-02946-X

  8. Interference  The second analytical challenge is matrix type and interfering compounds 1 2 3 4 1. Influent 2. Effluent (not filtered) 3. Effluent (filtered at 0.45 µ m) 4. HPLC grade water  To overcome these analytical challenges as well as quantify low ng/L levels of steroid hormones, the use of solid phase extraction (SPE) is used prior to analysis by LC-MS/MS.

  9. Objective  Develop a rapid, sensitive and selective analytical method to detect and quantify eight selected steroid hormones, using an on-line SPE method coupled to an LC-MS/MS. Estrogens OH O OH OH H H H H OH H H H H H H H H HO HO HO HO Ethynilestradiol (EE2) Estradiol (E2) Estrone (E1) Estriol (E3) Progestagens O O OH OH OH H H H H H H H H H H H H H H O O O O Medroxyprogesterone (MEDRO) Levonorgestrel (LEVO) 19-Norethindrone (NORE) Progesterone (PROG)

  10. Analytical method: on-line SPE-LC-APCI-MS/MS

  11. Off-line SPE  Off-line SPE is still more popular and more prevalent than on-line SPE. With very good limits of detection, large volume of sample can be used and is versatile (many stationary phase option)… bu but 0.5 hours 3-4 hours 4 hours 3 hours is very is ry time cons nsuming ng, 15 15 hou ours fo for 12 12 sample les in in ou our la lab

  12. Off-line SPE Here, V i = 500 mL V f = 0.250 mL → CF = 2000

  13. Off-line SPE The time consuming off-line SPE procedure coupled to the limited number of samples capable of being analyzed each day (maximum 12 samples a day in our lab) makes this technique very laborious. Therefore we need to develop a new, more practical pre-concentration technique while having similar performances as off-line SPE methods Solution: on-line SPE

  14. On-line SPE  There are many advantages of using on-line SPE:  reduced sample handling and preparation (minutes instead of hours)  reduction of sampling size and storage volume (1 to 10 mL versus 250 to 1000 mL)  improved reproducibility (because of automation)  higher sample throughput per day (between 50 and 100 versus 12 for off-line SPE)  less waste and solvent consumption (1 on-line SPE cartridge will be used for up to 200 samples depending on the matrix)  The same steps (1. conditioning, 2. charging, 3. wash, 4. elution) as for off-line SPE will still be applied to on-line SPE. The difference is in the automation of the process.

  15. On-line SPE 1. Pre-concentration, wash 2. Elution, separation, quantification 1 - 10 ml SPE Chromatography MS/MS 1. Off-line SPE 2. Separation and quantification 10 µl of MS/MS Chromatography Waste 0.250 ml Analytes Interferences Permutation (valve)

  16. On-line SPE  Analytical column:  Hypersil GOLD TM (1.9 µm, 100 × 2.1 mm)  On-line SPE column:  Hypersil GOLD TM aQ (12 µm, 20 × 2.1 mm)  Injection volume:  1 to 10 mL (final volume used was 5 mL)  Mobile phases: Mobile Phase Gradient  A: Water FA 0.1 % 85% B: MeOH 75%  Ionization source: 45% 40% 40% 40% 40%  APCI  Temparature: 0.00 6.94 8.46 10.30 11.30 11.31 12.30  60 ° C MeOH (100%) H2O with FA 0.1%

  17. On-line SPE

  18. On-line SPE

  19. On-line SPE-LC- MS/MS method optimization

  20. Loading speed  The sample transfer time 5.0E+06 Medroxyprogesterone (1500 ng/L) 4.5E+06 (or loading speed) from the 4.0E+06 injection loop to the SPE 3.5E+06 3.0E+06 column will be important in Area 2.5E+06 diminishing total analysis 2.0E+06 1.5E+06 time. 1.0E+06 5.0E+05 Optimum speed 0.0E+00 is 1500 μ L/min 1000 2000 3000 4000 5000 (tested at 850 ng/L in Loading speed ( μ L/min) neat solution) 9.0E+06 Ethynylestradiol (1500 ng/L) 8.0E+06 Ethynylestradiol Medroxyprogesterone 7.0E+06 6.0E+06 6.0E+06 5.0E+06 5.0E+06 Area 4.0E+06 4.0E+06 Area 3.0E+06 3.0E+06 2.0E+06 2.0E+06 1.0E+06 1.0E+06 0.0E+00 0.0E+00 1000 2000 3000 4000 5000 1000 1500 Loading speed ( μ L/min) Loading speed ( μ L/min)

  21. Breakthrough volume  In order to improve signal intensities and also limits of detection we tested multiple injection volume using a 10mL injection loop and established the maximum injectable volume without loss of analyte ( tested at 200 ng/L in affluent wastewater ). 6.0E+06 Ethynylestradiol Medroxyprogesterone 5.0E+06 R² = 0.99654 4.0E+06 Area 3.0E+06 R² = 0.9999 2.0E+06 1.0E+06 0.0E+00 0 1 2 3 4 5 6 7 8 9 10 11 Injection volume (mL)

  22. Method validation  Calibration curves in matrix (affluent) and in neat solution were built in order to asses linearity range as well as matrix effect and recovery values. Injection volume was 5 mL (optimal volume without breakthrough) in a 10 mL loop. (n=3 for each calibration point) 2.0 In matrix (affluent) Neat solution 1.8 1.6 y = 0.0011219x + 0.0108335 1.4 R² = 0.9992 1.2 Area Ratio 1.0 y = 0.0009172x + 0.0066265 0.8 R² = 0.9997 0.6 0.4 0.2 Levonorgestrel 0.0 0 200 400 600 800 1000 1200 1400 1600 1800 Concentration (ng/L) We observed signal enhancement in matrix (affluent)

  23. Method validation  Blanks were evaluated to establish that signal enhancement was not caused by the presence of the analyte of interest in matrix or interfering compounds. Affluent blank Affluent spiked at 150 ng/L Norethindrone Estradiol Estriol Estrone Ethynylestradiol Levonorgestrel Medroxyprogesterone Progesterone IS: 13 C 2 -Estradiol

  24. Method validation  Recoveries were calculated using the calibration curves. Neat solution Affluent 140 120 2.0 In matrix (affluent) 1.8 Recovery (%) 100 y = 0.0011219x + 0.0108335 1.6 R² = 0.9992 80 y = 0.0011219x + 0.0108335 1.4 R² = 0.9992 1.2 60 Area Ratio 1.0 C f 0.4 40 0.8 y = 0.0012x + 0.0016 0.3 R² = 0.9988 0.6 20 C i 0.2 0.4 0.1 ∆ C 0 0.0 0.2 0 100 200 300 E3 E2 EE2 E1 NORE LEVO MEDRO PROG 0.0 0 200 400 600 800 1000 1200 1400 1600 1800 Compounds Concentration (ng/L)  Matrix effect was calculated 250 by dividing the slopes of the 200 calibration curves in affluent Matris effect 150 solution (B) by those in neat 100 solutions (A). 50 0 E3 E2 EE2 E1 NORE LEVO MEDRO PROG Compounds

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