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  • Qualitative Screening and Quantitative

    Analysis of Pesticides Using Data

    Independent Acquisition High

    Accuracy Mass Spectrometry

    P. Yang, Calibration and Validation Group Canada, Scarborough, Ontario,

    Canada M1J 3N8

    P. Helm, Ontario Ministry of the Environment and Climate Change, Etobicoke,

    Ontario, Canada M9P 3V6

    J. Wong and K. Zhang, United States Food and Drug Administration, College

    Park, Maryland 20740-3835, USA

    James Chang, ThermoFisher Scientific, San Jose, California 95134-1908, USA

  • Outline

    Background

    Analysis of pesticides

    LC-MS Technologies

    Data-dependent Acquisition (DDA)

    Data-independent Acquisition (DIA)

    DIA Applications

    Qualitative screening

    Quantitative analysis

    Conclusions

    2 Calibration and Validation Group

  • Who We are A Brief History of the CVG

    Founded in 1994 by a group of analytical scientists from the pharmaceutical industry in Toronto, Canada

    Registered as a non-profit organization in Canada in February 1999

    Become a Voting Organization Member of the United States Pharmacopeial Convention in 2009

    Expanded in 2009 to include environmental and food sectors

    Calibration and Validation Group 3

  • Common Ground

    Uses similar technologies in analysis

    Learning opportunities & cross

    fertilization

    Make new contacts and friends

    Food

    Pharmaceuticals Environmental

    4 Calibration and Validation Group

  • Challenges in Routine Pesticide Analyses

    Sampling

    Standard preparation

    Analytical turnaround time

    Sample preparation

    Sample analysis

    Data processing/training

    Compound detection (target/non-target),

    identification and quantitation

    Quality control, quality assurance and report of

    uncertainty

    Are you sure?

  • 6 6

    0

    2,000

    4,000

    6,000

    8,000

    10,000

    12,000

    14,000

    16,000

    18,000

    1960 1965 1970 1975 1980 1985 1990 1995 2000 2005

    Mil

    lio

    ns o

    f D

    oll

    ars

    Pesticide expenditures in U.S. agriculture, 1960-2008

    Nominal

    Real (2008 dollars)

    http://www.ers.usda.gov/media/1424209/pesticideuseinusagriculture21selectedcrops.xlsx

    2x108 lbs

    5x108 lbs

    300 millions

  • Pesticides in the Environment: We Share

    1. United States Geological Survey, http://pubs.usgs.gov/fs/2004/3078/#N1001D 2. Renata Raina-Fulton, University of Regina

    LONG RANGE AND

  • Pesticide Analyses The Challenge

    European Union: 462 pesticides approved for use

    Japan Positive List has > 700 entries (January 2014) http://www.m5.ws001.squarestart.ne.jp/foundation/agrall.php)

    British Crop Production Council Pesticide Manual

    (October 2014 update)

    920 main + 710 supplementary entries

    >10,400 product names and >3,100 discontinued names

    The U.S. Environmental Protection Agency has

    approved approximately 10,400 of 16,000 pesticides via

    "conditional registration since 2010, (http://www.rodalenews.com/herbicides-and-pesticides

    Maximum Residual Limits/Allowed Concentration (MRL or

    MAC): 0.01-10 ppm (mg/Kg or mg/L)

    8 Calibration and Validation Group

    http://www.m5.ws001.squarestart.ne.jp/foundation/agrall.phphttp://www.m5.ws001.squarestart.ne.jp/foundation/agrall.phphttp://www.m5.ws001.squarestart.ne.jp/foundation/agrall.phphttp://www.m5.ws001.squarestart.ne.jp/foundation/agrall.phphttp://www.rodalenews.com/herbicides-and-pesticideshttp://www.rodalenews.com/herbicides-and-pesticideshttp://www.rodalenews.com/herbicides-and-pesticideshttp://www.rodalenews.com/herbicides-and-pesticideshttp://www.rodalenews.com/herbicides-and-pesticideshttp://www.rodalenews.com/herbicides-and-pesticideshttp://www.rodalenews.com/herbicides-and-pesticides

  • Analysis of Environmental Organic Contaminants

    The General Approach

    Good screening method(s) for typical background

    study

    Known-knowns (targeted) and known-unknowns (non-

    targeted)

    Semi-quantitative data for trend analysis

    Determine target pesticides for monitoring

    requirements

    Short and long term monitoring programs of

    target pesticides (quantitative analysis) to

    determine temporal and seasonal trends

    Develop mitigation strategies

  • Liquid ChromatographyTandem Mass

    Spectrometry (LCMS/MS)

    10

    Modified from Gillette and Carr, Nature Methods, 2013, 10, 28-34

    Guideline 96/23/EG (veterinarian analysis), MS precursor = 1.0; MS2 product 1.5; two MRMs get 4 identification points

    Are two MRM transitions enough for identification ?

    Targeted MS/MS Analysis Two MRM (SRM) transitions Collision cell

    Collisional induced dissociation (CID)

  • Data-dependent Acquisition (DDA) or

    Information-dependent Acquisition (IDA)

    Calibration and Validation Group 11

    The DDA was developed for shotgun proteomic applications (circa. 2001)

    Using a survey scan, DDA selects N (N = 1 - ?) precursor ions according to user defined intensity criteria

    Collisional induced dissociation (CID) used to generate product ion mass spectra (DDMS2) for each precursor for the identification of precursor ion

    Qualitative and quantitative analyses in one

    Not Suitable for mega-method !

    M. Mann, R. C. Hendrickson, A. Pandey. Ann. Rev. Biochem. 70, 437 (2001).

  • 12

    Conc. (ppb) # of Identified Conc. (ppb) # of Identified Conc. (ppb) # of Identified

    2 2.5 158 2.5 170 2.5 170

    2 10 172 10 182 10 176

    4 2.5 174 2.5 181 2.5 181

    4 10 189 10 198 10 196

    8 2.5 175 2.5 180 2.5 180

    8 10 197 10 204 10 197

    8 100 204 100 212 100 209

    30 min LC Run TimeTop N Ions

    Identification of 244 pesticides using with Fit > 80%18 min LC Run Time 25 min LC Run Time

    Only Top-N ions were

    analyzed

    Duty cycle limits the

    number of data points

    used to define LC

    peaks correctly

    Two separate analyses

    are required for

    screening and

    quantitative analysis

  • Calibration and Validation Group 13

  • Data-independent Acquisition (DIA)

    Calibration and Validation Group 14

    The DIA method was proposed to overcome the limitation of the

    DDA in shotgun proteomic analyses (John R Yates III et. al., Nature Methods 1, 39-45 (2004))

    Developed on a ThermoElectron LTQ fast scanning Iontrap

    DIA selects all precursor ions (above a threshold) in a m/z window (isolation window, e.g., 25 daltons)

    do the CID and collect one product ion spectrum for all precursor ions in that window

    The same process cycles through the selected mass range (e.g., 20 windows @ 25 Daltons/window for a mass range 100-600 m/z).

    Range of windows (isolation window) may vary:

    depending on how crowded the spectrum is in a given range

    in the crowded part (lower m/z), a 25-dalton isolation window

    a 100-dalton isolation window when reaches the higher m/z which tends to have fewer precursor ions and cover a larger m/z range

    Consistent sampling point allows for good qualitative and quantitative analysis from one single LC-MS analysis

    Allows for know-unknown and unknown-unknown analysis

  • Q 1 CID

    DDA MRM/ SRM or DDMS2

    DIA

    One pre-scan to select precursor ions above a

    threshold from a window

    Best selectivity

    Mulitplexity & selectivity achieved via

    high accuracy mass analyzer

    One pre-scan to select one or top-N precursor

    ions for MS/MS

    DDA versus DIA

  • 1 Full + 20 Sequential MS2 Scans = 1.8 Sec/Duty Cycle 21 scans @ RFWHH 17,500 (12 scans/sec or 0.083 sec/scan)

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20

    125 150 175 200 225 250 275 300 325 350 375 400 425 450 475 500 600 700 800 900

    Duty cycle = 1.8 second

    10 scans across peak

    1.8 Sec

    Isolation window 25 Da Isolation window 100 Da

    m/z 100 m/z 900

  • 17

    DIA Set up

    https://skyline.gs.washington.edu/labkey/project/home/support/begin.view.

  • Effect of DIA Parameters: LOOP and MSX Results from four level calibration standards of 603 pesticides (N=3)

    MSX&LOOP Duty Cycle

    (Sec)

    Concentration (pg/mL, ppt) 10 100 1,000 10,000

    Average RSD Average RSD Average RSD Average RSD

    1 20 1.8 119 21% 408 0.3% 498 0.5% 528 0.1%

    5 4 1.2 88 13% 398 1.9% 495 1.0% 529 0.4%

    5 20 1.1 88 18% 401 1.8% 497 1.6% 528 0.4%

    10 2 0.9 90 7.1% 402 0.0% 496 0.7% 527 0.2%

    10 20 0.7 58 10% 354 3.6% 493 0.7% 528 0.3%

    Identification criteria: 1. SANCO 12571/2013

    a) Quasi-molecular ion (< 5 ppm) b) 1-3 fragment ions (

  • Chloropyrifos, [M+H]+ = 349.9336 DIA MS2, m/z 325-350 isolation window

    TIC

    XIC

    DIA MS2

    DIA MS2

    DIA MS2

    350 294

    350 198

    350 115

    XIC

  • Simazine [M+H]+ = 202.0854 & Atrazine [M+H]+ = 216.1011 (m/z 200-225, 25-dalton isolation window )

    Simazine Atrazine

    N 3HN

    NN

    NH

    Cl

    N

    NHN

    Cl

    NH

    N

    Cl

    N 2H

    104.00100

    174.05410

    132.03230

    XIC

    MS2

    MS2

    MS2

    174.05410

    132.03230

    104.00100

    202 216

  • Seven Triazines (m/z 200-250, 50-dalton isolation windo