Online SPE-LC-APCI-MS/MS for the Determination of Steroidal - - PowerPoint PPT Presentation

online spe lc apci ms ms for the determination of
SMART_READER_LITE
LIVE PREVIEW

Online SPE-LC-APCI-MS/MS for the Determination of Steroidal - - PowerPoint PPT Presentation

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


slide-1
SLIDE 1

Online SPE-LC-APCI-MS/MS for the Determination of Steroidal Hormones in Drinking Water

Paul Fayad, Ph.D.

  • D. Candidate

under the supervision of

Sébastien Sauvé, Ph.D. D.

Department of Chemistry

presented by

paul.fayad@umontreal.ca

slide-2
SLIDE 2

Exploring the problematic: context

slide-3
SLIDE 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

  • od Chemi.Tox
  • xicol., 2002 (40), 781; Swan S.H., Env

nviron.

  • n. Health

h Perspe pect., 2000 (10), 961.

slide-4
SLIDE 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)

Snyder A., Env nviron.

  • n. Eng
  • ng. Sci., 2003 (20), 240; (6) Tillmann M., Ecot
  • tox
  • xicol
  • l. 2001 (10), 373; (7) Kidd K.A., PNAS, 2007 (104), 8897

Populations : fathead minnow fish in 2 ontarien experimental lakes (Kidd et al., 2007)

With 5-6ng/L E2

slide-5
SLIDE 5

≈ 1 grain of sugar in an Olympic size pool (2 500 2 500 000 000 L) ! !

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.

Weber L.P., Aqua.Tox

  • xicol
  • l., 2003 (63), 431

 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.

slide-6
SLIDE 6

Analytical challenges: dilution and interferences

slide-7
SLIDE 7

Dilution

  • The total volume of treated

wastewater by a treatment plant in Canada is evaluated at 42214 million m3, i.e. ~1420 L per person per day.

Source: Picture takin by Environnement Canada (2001) of St-Lawrence river in Montreal (Qc, Canada)

200 400 600 800 1000 1200 1400 1600 1800 L/person/per day

Source: Adapted from OECD Factbook 2007: Economic, Environmental and Social Statistics - ISBN 92-64-02946-X

Dilution

slide-8
SLIDE 8

Interference

1 2 3 4

  • The second analytical challenge is matrix type and interfering

compounds

  • 1. Influent
  • 2. Effluent (not filtered)
  • 3. Effluent (filtered at 0.45µm)
  • 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.

slide-9
SLIDE 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.

HO OH H H H

Estrone (E1) Estradiol (E2) Estriol (E3) Ethynilestradiol (EE2)

HO OH H H H

HO O H H H HO OH OH H H H

Progesterone (PROG) Medroxyprogesterone (MEDRO) 19-Norethindrone (NORE) Levonorgestrel (LEVO)

O OH H H H H O OH H H H H O O OH H H H O O H H H

Estrogens Progestagens

slide-10
SLIDE 10

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

slide-11
SLIDE 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

3 hours 3-4 hours 4 hours 0.5 hours

is is very ry time cons nsuming ng, 15 15 hou

  • urs fo

for 12 12 sample les in in ou

  • ur la

lab

slide-12
SLIDE 12

Off-line SPE

Here, Vi = 500 mL Vf = 0.250 mL →CF = 2000

slide-13
SLIDE 13

Off-line SPE

Therefore we need to develop a new, more practical pre-concentration technique while having similar performances as off-line SPE methods

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.

Solution: on-line SPE

slide-14
SLIDE 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

  • ff-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.

slide-15
SLIDE 15

On-line SPE

1 - 10 ml Chromatography MS/MS SPE Waste

  • 1. Pre-concentration, wash
  • 2. Elution, separation, quantification

Analytes Interferences Permutation (valve)

10 µl of 0.250 ml Chromatography MS/MS

  • 1. Off-line SPE 2. Separation and quantification
slide-16
SLIDE 16

On-line SPE

  • Analytical column:

 Hypersil GOLDTM (1.9 µm, 100 × 2.1 mm)

  • On-line SPE column:

 Hypersil GOLDTM aQ (12 µm, 20 × 2.1 mm)

  • Injection volume:

 1 to 10 mL (final volume used was 5 mL)

  • Mobile phases:

 A: Water FA 0.1 % B: MeOH

  • Ionization source:

 APCI

40% 40% 45% 75% 85% 40% 40%

0.00 6.94 8.46 10.30 11.30 11.31 12.30

Mobile Phase Gradient

MeOH (100%) H2O with FA 0.1%

  • Temparature:

 60°C

slide-17
SLIDE 17

On-line SPE

slide-18
SLIDE 18

On-line SPE

slide-19
SLIDE 19

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

slide-20
SLIDE 20

Loading speed

  • The sample transfer time

(or loading speed) from the injection loop to the SPE column will be important in diminishing total analysis time.

0.0E+00 5.0E+05 1.0E+06 1.5E+06 2.0E+06 2.5E+06 3.0E+06 3.5E+06 4.0E+06 4.5E+06 5.0E+06 1000 2000 3000 4000 5000

Area Loading speed (μL/min)

Medroxyprogesterone (1500 ng/L)

0.0E+00 1.0E+06 2.0E+06 3.0E+06 4.0E+06 5.0E+06 6.0E+06 7.0E+06 8.0E+06 9.0E+06 1000 2000 3000 4000 5000

Area Loading speed (μL/min)

Ethynylestradiol (1500 ng/L)

0.0E+00 1.0E+06 2.0E+06 3.0E+06 4.0E+06 5.0E+06 6.0E+06 1000 1500

Area Loading speed (μL/min)

Ethynylestradiol Medroxyprogesterone

Optimum speed is 1500 μL/min (tested at 850 ng/L in neat solution)

slide-21
SLIDE 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).

R² = 0.99654 R² = 0.9999

0.0E+00 1.0E+06 2.0E+06 3.0E+06 4.0E+06 5.0E+06 6.0E+06 1 2 3 4 5 6 7 8 9 10 11

Area Injection volume (mL)

Ethynylestradiol Medroxyprogesterone

slide-22
SLIDE 22

Method validation

  • Calibration curves in matrix (affluent) and in neat solution were built in
  • rder 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)

y = 0.0011219x + 0.0108335 R² = 0.9992 y = 0.0009172x + 0.0066265 R² = 0.9997 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 200 400 600 800 1000 1200 1400 1600 1800

Area Ratio Concentration (ng/L)

In matrix (affluent) Neat solution

Levonorgestrel We observed signal enhancement in matrix (affluent)

slide-23
SLIDE 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: 13C2-Estradiol

slide-24
SLIDE 24

Method validation

  • Recoveries were calculated using the calibration curves.

y = 0.0011219x + 0.0108335 R² = 0.9992 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 200 400 600 800 1000 1200 1400 1600 1800

Area Ratio Concentration (ng/L)

In matrix (affluent)

y = 0.0012x + 0.0016 R² = 0.9988

0.0 0.1 0.2 0.3 0.4 100 200 300

∆C Cf Ci

y = 0.0011219x + 0.0108335 R² = 0.9992

20 40 60 80 100 120 140 E3 E2 EE2 E1 NORE LEVO MEDRO PROG

Recovery (%) Compounds

Neat solution Affluent

  • Matrix effect was calculated

by dividing the slopes of the calibration curves in affluent solution (B) by those in neat solutions (A).

50 100 150 200 250 E3 E2 EE2 E1 NORE LEVO MEDRO PROG

Matris effect Compounds

slide-25
SLIDE 25

Method validation

RT min neat affluent neat solution affluent neat solution affluent neat solution affluent neat solution affluent E3 8.70 (0.2) 27 82 87 (8) 56 (7) 525 (9) 440 (17) 8 37 5 12 E2 10.19 (0.2) 22 36 100 (7) 79 (20) 527 (7) 522 (2) 11 12 5 4 E1 10.26 (0.2) 38 46 76 (10) 91 (13) 520 (8) 415 (8) 16 1 3 17 EE2 10.23 (0.2) 21 39 91 (4) 83 (10) 515 (8) 448 (4) 1 7 3 10 NORE 10.31 (0.2) 12 76 100 (8) 63 (7) 536 (4) 440 (5) 11 30 7 12 LEVO 10.76 (0.1) 20 32 91 (8) 75 (10) 532 (6) 446 (2) 1 16 7 10 MEDRO 10.97 (0.1) 35 65 80 (8) 90 (4) 520 (11) 438 (6) 11 1 3 12 PROG 11.23 (0.1) 27 82 93 (7) 67 (2) 526 (12) 517 (3) 3 26 5 3 QC #1 (90 ng/L) ng/L amount QC #1 Bias % QC #2 QC #2 (500 ng/L) ng/L amount Compound ng/L LOD

  • Precision (inter-day, n=4) and accuracy (% Bias, n=4) were evaluated in neat

solution as well as in affluent wastewater at two different levels: QC # 1 at 90 ng/L and QC #2 at 500 ng/L.

Internal Calibration

  • Limits of detection (LODs) were evaluated using the calibration curves in both

neat and affluent standard solutions (n=3, minimum of 6 calibration points) with the following equation.

*numbers in parentheses represent RSD

slide-26
SLIDE 26

A step further: Chromatographic separation

slide-27
SLIDE 27

Separation

  • An alternative separation approach employed in order to achieve the

chromatographic separation of the four co-eluting compounds of the eight selected steroid hormones with the use of ternary gradient mobile phase composition consisting of water, methanol (MeOH) and ethyl acetate (EA).

  • The initial binary mixture of water and MeOH for all the different solvent

composition conditions did not allow for peak differentiation.

42.5% 42.5% 90% 42.5% 42.5%

0.00 1.00 5.00 5.90 5.91 7.50

minutes

Mobile Phase Gradient

MeOH:EtOAc (80:20 v/v) H2O with FA 0.1%

We tested our new gradient for 1 mL volume injections because

  • f lengthy analysis time for our

5 mL validated injection volume method.

slide-28
SLIDE 28

Separation

E2, EE2, E1, NORE

E3 MEDRO LEVO PROG E3 LEVO MEDRO PROG NORE E2 E1 EE2

  • Test done in matrix (effluent) at 1500 ng/L.

Ternary mobile phase (MeOH, EA and water) Binary mobile phase (MeOH and water)

slide-29
SLIDE 29

Separation

  • Although we achieved proper separation, signal intensities and method

sensitivity are affected when using EA in the mobile phase because of ionization efficiency affected in APCI. We still have some work to do !!!

slide-30
SLIDE 30

Conlusion

  • We developed, optimized and validated a rapid, sensitive and selective method

for eight selected steroid hormones with LODs between 12 and 38 ng/L in neat solution and 32 and 82 ng/L in affluent. The method relies on on-line SPE-LC-APCI-MS/MS. These values are similar to off-line SPE methods that are time consuming and need very large sample volume.

  • With these values we can analyze wastewater samples (affluent and effluent)

when considering their levels in these matrices (between 50 and 250 ng/L). Our goal, ultimately, was to detect these compounds in surface water destined to be used in drinking water facilities. To achieve this we need to lower our LODs by a factor of at least 10.

  • Future challenge: lowering the LODs

 use of different SPE column with higher affinity to inject higher volumes (Hypercarb or Phenyl type columns)  adopt a wash method into the method to improve our S/N  try using tandem SPE on-line method to reduce breakthrough at higher injection volumes

slide-31
SLIDE 31

Acknowledgments

Superv ervis isors: Sébastien Sauvé, Ph.D. (Université de Montréal) et Michelle Prévost, Ph.D. (École Polytechnique de Montréal) Contact me at paul.fayad@umontreal.ca for more details.