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The Convergence of Differential Ion Mobility Spectrometry and Mass Spectrometry: Next Generation Global and Targeted Lipid Analysis Alexandre Paccou, Sr Manager, Support, EMEA

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Page 1: The Convergence of Differential Ion Mobility Spectrometry and Mass Spectrometry…per-form.hu/wp-content/uploads/2015/08/Liipido1.pdf ·  · 2017-11-09The Convergence of Differential

The Convergence of Differential Ion Mobility Spectrometry and Mass Spectrometry: Next Generation Global and Targeted Lipid Analysis

Alexandre Paccou, Sr Manager, Support, EMEA

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2 © 2015 AB Sciex

Fatty Acids Steroids Lipid

VitaminsTerpenes

Eicosanoids/

Oxidized FA

Glycerophospholipids

Mono-, Di- and

Triglycerides

Waxes Sphingolipids

Ether Phospholipids

Platelet-

Activating

Factor

Plasmalogens

Diacyl-Linked

Phospholipids

Ceramides

Sphingomyelins

Cerebrosides

Gangliosides

Lipids play an

essential role in

human physiology:

• Metabolic

homeostasis

• Cell and organelle

structure

• Cell signaling

And disease:

• Inflammation

• Cancer

• Cardiovascular

disease

• Diabetes

• Inflammatory

bowel disease

• Neurological

diseases

Halogenated Lipids

Oxidized Phospholipids

The Lipidome

Comprised of multiple, structurally distinct lipid classes and sub-classes

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3 © 2015 AB Sciex

There are as many as 180,000 different lipid molecular species

possible in a narrow mass range of ~700 amu

LipidViewTM Software calculator exercise:

Select mass of 762.4 with a tolerance of 0.1

amu → 41 lipids identified, many of which

are isoelemental

Problem: Identification and

quantification of lipids based

on high resolution MS alone is

not possible.

Fundamental Challenge in Lipidomic Analysis: Isobaric Overlap

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4 © 2015 AB Sciex

LipidViewTM Software calculator exercise:

Select mass of 762.4 with a tolerance of 1.2

amu → 290 Lipids identified

Due to the wide Q1 isolation

window, isobaric overlap

makes unambiguous

identification and quantification

nearly impossible

Challenges in Lipidomic Analysis: Isobaric Overlap

There are as many as 180,000 different lipid molecular species that are

found in a narrow mass range of ~700 amu; most LC applications require

2D separation or multiple injections

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5 © 2015 AB Sciex

PG

550 600 650 700 750 800 850 900 950

Mass/Charge (Da)

PC

PE

PA

PS

PI

• Lipidomic

spectra are

incredibly

complex

• MS/MS spectra

generated on

precursors in

zones of

isobaric

overlap will

contain

product ions

from other

isobaric

species

Experiment: EMS scan of Bovine Heart Extract (BHE)

Isobaric Overlap of Phospholipids

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6 © 2015 AB Sciex

Current Strategies in Lipidomics

Separation approaches:‒SPE extraction

‒ Fractionation

‒Chemical derivatization

‒Chromatography

Mass spectrometry approaches:‒Dedicated precursor and neutral loss scans (Qtrap® Systems)

‒ IDA-based methodologies (Triple TOF Instruments® Systems and

Qtrap® Systems)

‒MS/MSALL (Triple TOF® Systems Instruments)

New approach: Differential Ion Mobility Spectrometry

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SelexIONTM Technology for Lipid Analysis

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8 © 2015 AB Sciex

SelexION™ Hardware Configuration

• Differential Mobility Spectrometry (DMS)

• Installation / removal of DMS in < 2mins – no

tools required

Compatible with QTRAP® and TTOF technology

DMS

cellCurtain

PlateSource

Extension

Ring

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9 © 2015 AB Sciex

DMS

cell

Curtain

Plate

Source

Extension Ring

SelexION™ Hardware Configuration

• Compatible with QTRAP® and TTOF technology

• Installation / removal of DMS in < 2mins – no tools required

• Resolves analytes prior to MS analysis

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10 © 2015 AB Sciex

SV COV

Gas

flow To

MS

Differential Mobility Spectrometry- DMS

• Planar geometry

• Gas flow towards MS draws ions

(transport gas)

• Asymmetric waveform applied

which alternates between high

field, K(E) and low field, K(0) –

separation voltage (SV)‒ Moves charged ion back and forth

between plates

‒ Ion will have net drift base on its high

and low field mobility

• Compensation voltage (COV) is

small DC offset between the

plates – filtering voltage

SelexION™ Technology

Waveform

DMS Dimensions

1x10x30 mm

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11 © 2015 AB Sciex

Theoretical dipole moments were calculated

using isopropanol as a modifying solvent

Molecules that have different dipole moments can be separated by DMS

Differential Mobility Spectrometry-Driven

Shotgun Lipidomics

Anal. Chem. 2014. 86. 9662-9669

10.1021/ac5021744

Relationship Between Dipole Moment and CoV

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12 © 2015 AB Sciex

SelexIONTM Technology Separates Phospholipid Sub-Classes

PC

PE

PA

PG

PS

PI • Using DMS alone,

a mixture of lipids

can be separated

into it’s individual

components

• Baseline

separation can be

achieved, which

abrogates

• isobaric

interference

Experiment: MRM scan of 6 phospholipid standards with COV ramp

Proof of concept: DMS separates different lipid classes

Implications: High degree of lipid class specificity without LC

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13 © 2015 AB Sciex

Isobaric Interference Among Different Lipid Molecular Species

Isobaric interference makes ‘unassisted’ MRM analysis by infusion non-specific.

SelexIONTM Technology makes it possible

Interference

Target Peak

Experiment: mrm analysis of CSF (PE 40:5; 792.6/283.2)

SelexIONTM Device Off

Isobaric interference

removed making

quantitation possible

SelexIONTM Device OnPE specific CoV=-3.8

Multiple different lipids

have the same MRM

transition:

Isobaric Interference

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14 © 2015 AB Sciex

Resolution of Glucosylceramides (Cerebrosides)

• Galactosylceramide (Galβ1-1'Cer) is the principal glycosphingolipid in brain

tissue and is an essential structural component of myelin

• Glucosylceramide (Glcβ1-1'Cer) is found in animal tissues, and is a major

component of skin lipids and neuronal tissue.

Due to identical product ion spectra, mrm transitions and similar physical properties,

LC separation and individual characterization/quantitation of these two lipid classes is

challenging.For Research Use Only. Not for use in diagnostic procedures.

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15 © 2015 AB Sciex

-5 -4 -3 -2 -1 0 1 2 3

COV, V

0

500

1000

1500

2000

2500

3000

3500

4000

4500701.9 / 264.2 701.9 / 521.4701.9 / 503.5

-3.0 -2.0 -1.0 0.0COV (V)

-3.0 -2.0 -1.0 0.0

COV (V)

-4.0

Galβ1-1'Cer

STD

Glcβ1-1'Cer

STD

Glycosylceramide STD Mix

DMS Resolves Glycosylceramide Isomers without Chromatography

For Research Use Only. Not for use in diagnostic procedures

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16 © 2015 AB Sciex

Resolution of Retinoic Acid Isomers by SelexIONTM Technology

at-RA

9cis-RA

13cis-RA

impurities

For Research Use Only. Not for use in diagnostic procedures

Complete resolution of RA isomers is possible, but the sensitivity is affected

such that it is not a biologically relevant assay.

→Combine LC and DMS to balance need for selectivity and sensitivity

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17 © 2015 AB Sciex

SelexION Separation of PI(3)P and PI(4)P

Baseline separation without chromatographyExperimental ConditionsSelexION Conditions

Separation Voltage (SV): 4100V

DMS Resolution Enhancement (DR): 42

Modifier: None

DMS Temperature (DT): Low=150 ºC

6500 QTRAP Conditions

IonSpray Voltage (IS): 4500

Temperature (TEM): 100

Gas 1 (GS1): 30

Gas 2 (GS2): 40

Curtain Gas (CUR): 15

Declustering Potential (DP): 100

Entrance Potential (EP): 10

MRM: 953.5 � 613.4 (CE=30)

PI(4)P

CoV = -2.0

PI(3)P

CoV = 0.8

PI(4)P

PI(3)P

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18 © 2015 AB Sciex

Resolution of PI(3,5)P2 and PI(4,5)P2 by DMS

Traditional methods to separate the PIP2 molecular species rely on

chromatography and derivatization

PI(3,5)P2

CoV = 3.2

PI(4,5)P2

CoV = 5.6

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Applying SelexION™ Technology to

MS/MSALL with the TripleTOF® 5600+

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20 © 2015 AB Sciex

MSMSALL Introduction

• Q1 sweeps mass range of interest at unit mass

intervals

• Product ion spectra are generated for precursor

ions at each Q1 step size

Product ion spectrum generated for every precursor ion

Scan Precursors CAD Fragmentation

Q1 LINAC Q2

HR/AM TOF MS2

Ståhlman, M et al. High-throughput shotgun lipidomics by quadrupole time-of-flight mass spectrometry, J Chrom B 2009

Ekroos, K., Methods in Pharmacology and Toxicology: Biomarker Methods in Drug Discovery and Development, Humana Press 2008

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21 © 2015 AB Sciex

Q1 Q2

Fast Q1 precursor selection step-wise through mass range

CID Fragmentation Direct infusion, flow injection, and lipid-class targeted LC techniques

Precursor mass range 200-1250; total analysis time 3-5 min

MS/MSALL Information-Independent Data Collection

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22 © 2015 AB SciexPrecursor mass m/z

Fra

gm

en

t m

ass m

/z

Q1

selection

window

0.5-0.7 amu

Lipidomic Profiling Map of Liver Extracts Acquired in Negative Mode

signal intensity

MS/MSALL

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23 © 2015 AB Sciex

6600 TripleTOF with FIA Configuration

LC Pump and Auto-Sampler

6600 TripleTOF® Mass Spectrometer

With SelexION® Technology

Time

Inte

nsity

Pu

mp

Pre

ssu

re

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24 © 2015 AB Sciex

Eluting Profile and Data Acquisition Window

Data Acquisition : 1.2 min to 6.5 min

Equilibration Wash Re-Equilibration

Flow rate = 7 µL/min Flow rate = 50 µL/min Flow rate = 7 µL/min

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25 © 2015 AB Sciex

9800 136 13.27200

Excellent Reproducibility in Elution Profile and MS Intensity

Data Acquisition Window

9 TIC Overlay: TOF MS2 (742.5)

• Excellent Reproducibility

‒ Within-run

‒ Run-to-run

• m/z 184.074

‒ Peak Height %RSD = 2.67%

‒ Peak Area %RSD = 2.48%

• m/z 502.330

‒ Peak Height %RSD = 4.27%

‒ Peak Area %RSD = 2.87%

• m/z 443.255

‒ Peak Height %RSD = 3.50%

‒ Peak Area %RSD = 3.2%

9 Spectra Overlay: TOF MS2 (742.5)

m/z 184.074• Peak Height %RSD = 2.67%

• Peak Area %RSD = 2.48%

m/z 742.577• Peak Height %RSD = 2.10%

• Peak Area %RSD = 1.83%

m/z 502.330• Peak Height %RSD = 4.27%

• Peak Area %RSD = 2.87%

m/z 443.255• Peak Height %RSD = 3.50%

• Peak Area %RSD = 3.20%

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26 © 2015 AB Sciex

Quantitative Level Carryover

BHE Extract

200 µg/mL1st Blank after

200 µg/mL BHE

0.146%

0.156%

0.144%

TOF MS1 TOF MS1

TOF MS2 of 742 TOF MS2 of 742 TOF MS2 of 742

TOF MS2 of 876TOF MS2 of 876TOF MS2 of 876

System Blank

TOF MS1

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27 © 2015 AB Sciex

Precursors of 184.0733 m/z

Precursors of 264.235 m/z

Precursors of neutral loss 141.0 m/z

MS/MSALL – Fragment and Neutral Loss FIlter

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28 © 2015 AB Sciex

MS/MSALL with SelexIONTM

Use the SelexIONTM technology to isolate individual lipid classes for analysis

• Identify CoV values for each lipid class of interest

• Focus mass list to analyze only masses that are germane to lipid

class of interest (e.g., PC: 675-925)

• Run MS/MSAll sequence for all lipid classes

• Clean MS/MS data without isobaric contamination

• Reduced background

• Improved ID confidence

Primary Benefits

PC MS/MSALL – CoV = -6.5

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29 © 2015 AB Sciex

MS/MSALL with SelexIONTM

Use the SelexIONTM technology to isolate individual lipid classes for analysis

PE (Blue) – CoV = -3.8

PC (Red) – CoV = -6.5

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30 © 2015 AB Sciex

MS/MSALL with SelexIONTM

Use the SelexIONTM technology deconvolves complex spectra

18:1 (PC) PE (Blue) – CoV = -3.8

PC (Red) – CoV = -6.5

22:5 (PE)

PC O-34:2 (16:0/18:1) [M+Cl]-

PE O-40:6 (18:1/22:5) 2nd isotope

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31 © 2015 AB Sciex

The Power of DMS to Deconvolute Product Ion Spectra

MS/MS of 814.5 (PC 36:5 + Cl and PC 34:3 + AcO)

[M-Cl]-

[M-Cl]-

[M-AcO]-

20:5

20:5

18:3

16:0

16:0

No DMS

With DMS

Resolution = ~33,0000

TOFMS data show 2 peaks at 814.5

Cl adduct

AcO adduct

Resolution of these adducts is not

possible during precursor ion

isolation on ANY instrument

unless DMS is used. Extensive

chromatography or careful

selection of quantitative fragments

is required otherwise

Experiment: Krill oil analyzed by MS/MSALL (negative ion mode) with and without DMS

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32 © 2015 AB Sciex

The Power of DMS to Deconvolve Product Ion Spectra

MS/MS of 840.6 (PC 38:6 + Cl and PC 36:4 + AcO)

No DMS

With DMS

20:5

18:3

16:0

18:4

18:1

18:0

22:6PC 38:6 (Cl-)

PC (22:6/16:0)

PC (20:4/18:2)

PC (20:5/18:1)

20:4

PC 38:6 (Cl-)

PC 36:4 (AcO-)

PC (20:4/16:0)

PC (18:0/18:4)

PC (18:1/18:3)

PC (18:2/18:2)

PC (22:6/16:0)

PC (20:5/18:1)

20:5

16:0

18:1

18:0

22:6

DMS isolates the precursor ion from

other isobars, including adducts, to

produce a clear product ion

spectrum

Experiment: Krill oil analyzed by MS/MSALL (negative ion mode) with and without DMS

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33 © 2015 AB Sciex

Acknowledgements

SCIEX

• Paul Baker

• Baljit Ubhi

• Eva Duchoslav

• Larry Campbell

• Leo Wang

• Pauline Vollmerhaus

• Fadi Abdi

• Aaron Hudson

• Cyrus Papan

Legal Acknowledgements:

For Research Use Only. Not for use in diagnostic procedures. The trademarks mentioned herein are the property of AB Sciex Pte. Ltd. or their respective owners. AB SCIEX™ is being used under license.

© 2015 AB SCIEX.