Agilent ESI and APCI sources: for polar to non-polar compounds

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1 Agilent 6400 Series Triple Quadrupole Users Workshop 1 Agilent ESI and APCI sources: for polar to non-polar compounds Nebulizer Pressure Corona current Nebulizer Pressure Vaporizer Vcap Vcap Drying Gas Temperature and Flow Fragmentor V Drying gas Temperature and Flow Fragmentor V 5

2 Agilent Jetstream Technology (AJT) The super-heated sheath gas collimates the nebulizer spray and presents more ions to the MS inlet. Enhanced efficiency nebulizer Nebulizing gas: pressure *Sheath gas: flow and temperature *Nozzle voltage Drying gas: flow and temperature Resistive sampling capillary entrance: Capillary V Resistive sampling capillary exit: FragV *New parameters unique to AJT source 6 Tuning and Calibration for Agilent QQQ systems Agilent QQQ systems are very stable and require infrequent Autotuning Current software uses "ESI-Low" tune mix for all QQQs. Routine use only requires resolution and mass axis verification for polarity and resolution modes to be used. Run performance check sample (lab SOP) Do Checktune (checks all three resolution modes) In Manual Tune, turn on calibrant and observe MS1 and MS2 profiles. Use Adjust Gain and Offset button if width or mass axis requires adjustment. If using negative ion, Autotuning should be done monthly or less to minimize source exposure to TFA. Flush source extensively with LC flow after Autotune before running samples in negative ion. Autotune at least quarterly to optimize ion transmission and update EM voltage. 7

3 Source optimization for Agilent LC/MS systems ESI, APCI, MM and Agilent JetStream Technology (AJT) Flow dependent parameters: Nebulizer pressure Drying gas temperature and flow Vaporizer temperature (MM) Sheath gas flow (AJT) Compound dependent parameters: Capillary voltage Fragmentor voltage Collision Energy (QQQ, QTOF) Vaporizer temp (APCI, MM, AJT) Sheath gas temperature (AJT) Nozzle voltage (AJT) 8 6410 starting parameters for small molecules 6410 Parameter Standard ESI source APCI source Capillary voltage 3500 V 3500 V Drying gas flow 10 Lpm < 0.2 ml/min 5-7 Lpm 12 Lpm > 0.4 ml/min Drying gas temp 350 C 350 C Fragmentor voltage 135 V 135 V Nebulizer pressure 25 psi 0.2 ml/min 60 psi 50 psi 1 ml/min Vaporizer temp 350 C 9

4 6460 starting parameters for small molecules 6460 Parameter Starting value Capillary voltage 3500 V CAV acceleration 5 volts Drying gas flow 10 L/min flow dependent Drying gas temp 300 C Fragmentor voltage Nebulizer pressure 135 V 45 psi Nozzle voltage 0 V pos, 2000 V neg Sheath Gas flow 11 L/min Sheath Gas temp 300 C 11 6490 starting parameters for small molecules 6490 Parameter Starting value Pos/Neg Capillary voltage CAV acceleration voltage Drying gas flow Drying gas temp Fragmentor voltage Nebulizer pressure Nozzle voltage Sheath gas temp Sheath gas flow 3500 V / 2500 V 5 volts / 2 volts 15 L/min 200-250 C 380 V fixed 35 psi (flow dependent) 0 V pos, 2000 V neg 300-400 C 11 L/min 12

5 i-funnel Settings 13 Source Optimization 6490 17

6 Optimization techniques Fragmentor V and Collision Energy (for MS/MS systems) should be optimized first using recommended starting parameters for source. Voltages, gas flows change quickly and can be optimized with series of flow injections using method with injector program and time segments. Temperatures (sheath gas, drying gas, vaporizers) require equilibration time between injections; perhaps best done with final chromatography conditions. 18 Injector program for series of flow injections Injector program steps: Remote Startpulse [Starts the instrument] Repeat n times Draw default amount from sample Valve to Mainpass [injects sample without start signal] Wait 0.20 min [allow sample to elute from needle before repeating] End repeat Note: Remote Startpulse and Inject commands work differently on QQQ and TOF/QTOF. 19

7 MS acquisition for series of flow injections: Synchronize MS time segments with peak spacing Example: MS time segments increment nozzle voltage 20 Fragmentor and Collision Energy optimization Flow injection with injector program: Methylmalonic acid, dibutyl ester Maximize MH+ ion transmission, minimize CID with Fragmentor voltage Maximize product ion signal(s) with Collision Energy Can fine tune each with smaller steps after initial experiments Fragmentor 60-160V 20V steps Collision Energy 5-30V 5V steps 21

8 Optimization of MRM Acquisition Good quantitation requires adequate number of data points across each peak (ideally 10-20) High confidence or regulated identification requires > 1 MRM per compound. Monitoring many compounds simultaneously lowers dwell time per MRM. Therefore for best sensitivity, only monitor compounds in retention time window where they elute. Traditional approach of time segments has limitations and is tedious to setup up and maintain. 22 UHPLC peak capacities are very high 40 MRM transitions in a one minute window 23

9 The solution: MassHunter Dynamic MRM Included in QQQ Acquisition B.02.01 and later For applications requiring quantitation of 100 1000 compounds in one run; some examples: Food and environmental analysis (e.g. pesticides) Targeted quantitation of proteins via peptides (proteomics) Without Dynamic MRM: Need to manually set up multiple time segments to maximize dwell times Tedious to set up; problematic if retention time changes With Dynamic MRM: Automatic setup of overlapping time segments without user intervention May increase signal to noise Can update all retention times using latest run 24 Dynamic MRM for 6400 series QQQ Monitors transitions only when compound elutes 27

10 Dynamic MRM: Retention Time and Delta Ret Time 28 Dynamic MRM Update Method in Acquisition 29

11 Update RTs, RT windows, add new compounds Recommend using: Quant report folder 30 Dynamic MRM Analysis with 6460 QQQ Eight minute 250 compound pesticide screen x10 2 9.6 9.4 9.2 9 8.8 8.6 8.4 8.2 8 7.8 7.6 7.4 7.2 7 6.8 6.6 6.4 6.2 6 5.8 5.6 5.4 5.2 5 4.8 4.6 4.4 4.2 4 3.8 3.6 3.4 3.2 3 2.8 2.6 2.4 2.2 2 1.8 1.6 1.4 1.2 1 0.8 0.6 0.4 1 1 3.193427 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 2.2 2.4 2.6 2.8 3 3.2 3.4 3.6 3.8 4 4.2 4.4 4.6 4.8 5 5.2 5.4 5.6 5.8 6 6.2 6.4 6.6 6.8 7 7.2 7.4 Counts vs. Acquisition Time (min) Peak widths ~ 1 second Retention Time Window = 12 sec 500 ppt Zorbax Eclipse Plus C18 2.1 x 100mm (1.8μm) 31

12 MassHunter Optimizer Included as of MassHunter QQQ B.04 acquisition software Useful for frequent method development [new compound each week] or for multi-compound methods [e.g. toxicology, environmental applications] Many toxicology and pesticide transitions are available in new Agilent application kits and from Agilent application chemists. Can use Flow Injection before LC separation is developed Can use LC method to optimize multiple compounds in a few injections 32 MassHunter Optimizer method, parameter selection 33

13 MassHunter Optimizer Precursor ion selection User selectable adducts (H, Na, K, OAc-, HCOO-, etc.) Can run both positive and negative ion methods in same project 34 MassHunter Optimizer Product ion selection: set mass range 35

14 MassHunter Optimizer input a unique compound name 36 MassHunter Optimizer results Results automatically added to MRM database 37

15 MassHunter Optimizer results inspect data 38 MassHunter Optimizer - import directly into acquisition 39

16 MassHunter Optimizer Search or filter compounds for import 40 MassHunter Optimizer Search or filter compounds for import 41

17 MassHunter Acquisition imported transitions 42 MassHunter Optimizer input transitions 43

18 MassHunter Optimizer input transitions 44 MassHunter Optimizer input transitions 45

19 MassHunter Optimizer input transitions 46 MassHunter Optimizer input transitions 47