Implement High Quality, Routine GC-MS/MS Multi-Residue Pesticides Analysis with Ease Paul Silcock & Jason Cole

Transcription

1 Implement High Quality, Routine GC-MS/MS Multi-Residue Pesticides Analysis with Ease Paul Silcock & Jason Cole 1 The world leader in serving science

2 Some discussion points for today.. Trend towards GC Triple Quadrupole MS for amenable pesticides Challenges faced when setting up and working with complex pesticides methods with GC triple quadrupole MS How to easily implement and manage high performance GC- MS/MS pesticide methods 2

3 Increasing popularity in triple quadrupole million books: ~4% of all books ever published 3

4 GC-Triple Quad Adoption 80 s, 90 s

5 GC-MS/MS What s so special? Low detection limits Optimized sample preparation Consolidated analytical methods Faster, automated data processing...it s a high selectivity technique... 5

6 GC-MS/MS What s so special? SIM on m/z 182 SRM on m/z 182 > 153 Acibenzolar-S-Methyl in vegetable matrix 6

7 GC-MS/MS What s so special? Extra dimension of MS to drive selectivity SIM on m/z 182 SRM on m/z 182 > 153 Acibenzolar-S-Methyl in vegetable matrix 7

8 Inside the Thermo Scientific TSQ 8000 GC-MS/MS Ion Source 1 st Quadrupole Q1 3 rd Quadrupole Q3 Ion Guide 2 nd Quadrupole Q2 Collision Cell Dynode and Electron Multiplier 8

9 Step 1: Precursor Ion Selection Selected analyte precursor ion Matrix ion with same mass number 9

10 Step 1: Precursor Ion Selection Acibenzolar-S-Methyl 10 ppb in Lettuce Significant contribution from matrix ion causes peak area to be too high 10

11 Step 2: Fragmentation in Collision Cell Fragmentation of both analyte and matrix ion 11

12 Step 3: Production Ion Selection Selection of unique product ion of analyte 12

13 Step 3: Production Ion Selection m/z 182 m/z 153 SRM removes the shoulder on from matrix interference & reduces background SIM on m/z 182 SRM on m/z 182 >

14 Benefits of Selectivity High selectivity Possibility the reduce selectivity in sample preparation Reduced sample prep steps creates a more generic sample prep method more compounds & matrices Consolidated GC-MS methods due to high performance buffer against requirements Compressed chromatography possible Easy peak evaluation auto-integrators 14

15 Productivity Challenges: New GC-MS/MS Pesticide Methods Method implementation Routine result production Dealing with large compound lists GC Performance Maintenance MS/MS method development MS Performance Maintenance Acquisition method optimization Data processing method production Acquisition Method Maintenance Data analysis method maintenance 15

16 Productivity challenges: new GC-MS/MS pesticide methods.. Downtime Experience Resource Method implementation Routine result production Dealing with large compound lists GC Performance Maintenance MS/MS method development MS Performance Maintenance Acquisition method optimization Data processing method production Acquisition Method Maintenance Data analysis method maintenance 16

17 Barriers to Adoption of GC-MS/MS for Pesticides...or adopting a new brand/model... Learning a new technique Moving across existing methods MS/MS Method development Data processing method development System/software familiarization Time away from real result production 17

18 Where we want to be... To be able to rapidly implement our own customized pesticide analysis methods on the new platform and start to be productive. 18

19 Productivity Challenges: New GC-MS/MS Pesticide Methods Downtime Experience Resource Method implementation Routine result production Dealing with large compound lists GC Performance Maintenance MS/MS method development MS Performance Maintenance Acquisition method optimization Data processing method production Acquisition Method Maintenance Data analysis method maintenance 19

20 Ease the Method Implementation Process Method implementation Routine result production Dealing with large compound lists GC Performance Maintenance MS/MS method development MS Performance Maintenance Acquisition method optimization Data processing method production Acquisition Method Maintenance Data analysis method maintenance 20

21 Thermo Scientific TSQ 8000 Pesticide Analyzer A complete pesticide method implementation, management and maintenance solution to drive unstoppable result productivity 21

22 Powering the TSQ 8000 Pesticide Analyzer Preconfigured performance leading TSQ 8000 GC-MS/MS system featuring the award-winning Thermo Scientific TRACE 1310 GC Pre-loaded acquisition methods Pre-loaded Thermo Scientific TraceFinder 3.0 processing methods Thermo Scientific TraceGOLD GC Column and consumable technology TraceFinder 3.0 EFS Data Processing software 600+ Pesticide compound database (CDB) with SRM transitions AutoSRM & timed SRM (t-srm) Pesticide Analyzer Installation Guide 22

23 What s Different? Truly self-customizable solution Full self sufficiency using the integrated software tools and supporting guides TraceFinder 3.0 Compound Database that is workflow integrated No need for advanced spreadsheet knowledge for complex operations and formulas Automatic optimization Timed SRM means there is no need for extensive lists, for time segment calculations or dwell time optimization. Automated SRM development through AutoSRM for when your method needs to move outside the compound database. No need for manual and advanced level SRM method development 23

24 TSQ 8000 Pesticide Analyzer Workflow My target compound list Develop missing compound/ SRM Pesticide Compound Database Add to database Automatic MRM method creation RT Update Self -customized Auto-optimized My completed pesticide method 24

25 Self Customized: Create Your Target Acquisition List The installation guide describes how selecting your compounds from the CDB populates your acquisition and processing methods 25

26 Auto-Optimized : Adding New Compounds Step 1. Automated SRM development through AutoSRM Step-by-step instruction make adding new compounds to the Compound Database easy. Step 2. Easy import into TraceFinder CDB 26

27 AutoSRM: Fast, Simple Route to Optimized SRM 1) Precursor ion selection AutoSRM automates the development of SRM methodology 2) Product ion selection 3) Collision energy optimization 27

28 Highlights of AutoSRM End result showing optimized transition Automates the following: Creation of full scan, product ion scan and SRM methods Creation of sample sequences Creation of data layouts for analyzing results Selection of precursor, product and collision energies 28

29 Auto-Optimized :Timed-SRM Classical segmented SRM methods become problematic with ~100 or more compounds Difficult to find quiet time in TIC for segment break Too many transitions at once can give unacceptable sensitivity Complex calculations and dwell time decisions 29

30 Auto-Optimized :Timed-SRM Method Overview Acquisition windows centered around retention time 30

31 Timed-SRM Method Overview Acquisition windows allowed to overlap 31

32 Analysis of 300 Pesticides Segmented vs. Timed Segmented SRM Closest compound to segment break: 5 seconds Timed SRM Closest compound to segment break: 15 seconds Average number of simultaneous transitions: 55 Average number of simultaneous transitions: 15 (4X higher dwell times- better sensitivity) 32

33 Bendiocarb Furalaxyl Mefenacet Oxadixyl Triazophos Azinphos-methyl Fenamidone Indoxacarb Zoxamide Benalaxyl Buprofezin Carboxin Diethofencarb Dimethomorph Fenbuconazol Flonicamid Flutolanil Imazalil Propham Propoxur Spiroxamine Methiocarb Thiabendazole Pyridaben Pirimicarb Parts per billion Target a Few Compounds or Screen for Many Pesticides Method LOD 600 Pesticides Method LOD Peak sample frequency flutolanil in 600 method 33

34 The Results: Analytical Performance for Pesticides 34

35 Ease the Method Implementation Process Method implementation Routine result production Dealing with large compound lists GC Performance Maintenance MS/MS method development MS Performance Maintenance Acquisition method optimization Data processing method production Acquisition Method Maintenance Data analysis method maintenance 35

36 Still Need to Maintain Productivity in Result Production Routine result production GC Performance Maintenance MS Performance Maintenance Acquisition Method Maintenance Data analysis method maintenance 36

37 TRACE 1300 Series GC Routine result production GC Performance Maintenance MS Performance Maintenance TRACE 1300 PTV & SSL ic Backflush module to maintain column performance in heavy matrix Instant Connect injector modules can be exchanged faster than a GC column for maintenance offline while your instrument is running Acquisition Method Maintenance Data analysis method maintenance 37

38 Dual MS Heated Zones Dual Independent Heaters Routine result production GC Performance Maintenance MS Performance Maintenance Heat keeps source parts clean TSQ 8000 GC-MS/MS heats all three places where ion burn form: Ion volume Lens stack Ion guide Acquisition Method Maintenance Data analysis method maintenance 38

39 Dual MS Heated Zones Dual Independent Heaters Routine result production GC Performance Maintenance MS Performance Maintenance Heat keeps source parts clean TSQ 8000 heats all three places where ion burn form: Ion volume Lens stack Ion guide Acquisition Method Maintenance Data analysis method maintenance 39

40 Heated RF Lens RF Lens Routine result production GC Performance Maintenance MS Performance Maintenance Never clean or replace quads Heated RF Lens contains ion burn Acquisition Method Maintenance Data analysis method maintenance 40

41 Never Vent to Clean Instrument Routine result production GC Performance Maintenance MS Performance Maintenance Full source removal without venting Spare source allows for non-stop analysis with offline cleaning employed Acquisition Method Maintenance Data analysis method maintenance 41

42 Routine Robustness at the Level of Interest %RSD pesticides (10 ppb) before and after 1,400 vegetable matrix injections Routine result production GC Performance Maintenance MS Performance Maintenance Acquisition Method Maintenance Data analysis method maintenance 42

43 Routine Robustness at the Level of Interest Routine result production GC Performance Maintenance MS Performance Maintenance Acquisition Method Maintenance Data analysis method maintenance 43

44 Method Sync With TraceFinder Software TSQ 8000 GC-MS/MS instrument method Routine result production GC Performance Maintenance MS Performance Maintenance Timed-SRM also allows auto-update of acquisition windows through RT updates in processing method Acquisition Method Maintenance Data analysis method maintenance TraceFinder SW data processing method 44

45 Easy Implementation and Maintenance Method implementation Routine result production Dealing with large compound lists GC Performance Maintenance MS/MS method development MS Performance Maintenance Acquisition method optimization Data processing method production Acquisition Method Maintenance Data analysis method maintenance 45

46 Thank You and Acknowledgement Thanks to Mr. Elmar Häfner, Head of Contaminant Analysis, PhytoLab GmbH & Co. KG, Germany for his support with contributions of pesticide data 46

47 Thank you for your attention Stay connected with us! Chromatography Solutions Blog YouTube Questions? Facebook Solutions Pinterest 47