advanced polymer characterisation using hdms

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©2015 Waters Corporation 1 Advanced Polymer Characterisation using High Definition Mass Spectrometry Oliver Burt

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Page 1: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 1

Advanced Polymer Characterisation using High Definition Mass Spectrometry

Oliver Burt

Page 2: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 2

High Definition Mass Spectrometry …..a new dimension of discovery

What is HDMS? – The combination of high resolution tandem mass spectrometry and

high efficiency ion mobility based measurements and separations. – High Definition Mass Spectrometry

What are the benefits of HDMS? 1. Increase Selectivity, Specificity and Confidence

Remove interferences, improve detection limits, separate mixtures, increase peak capacity

2. Structural analysis Separate isomers and conformers, measure shape (cross-

section), or enhance fragmentation studies

Page 3: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 3

What is Ion Mobility?

Separation of ionic species as they drift through a gas under the influence of an electric field

Rate of drift is dependent on ion’s mobility through the gas

Mobility (K) is dependent on factors such as:- – Mass – Charge – Interaction cross section (shape)

Ability to separate isobaric species if they have different

interaction cross sections

Vd = ion velocity E = electric field gradient

Vd = K . E

Page 4: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 4

Ion Mobility Spectrometry (IMS) …Drift tube IMS

An ion in a compact form has a high mobility, hence shorter drift time

The same ion in a more open conformation has a lower mobility, hence a longer drift time

Gat

e

Det

ecto

r

Neutral Buffer Gas (-ve force)

Ring Electrodes (Potential Gradient. +ve force)

Page 5: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 5

Real Life Example

Two paper ‘isomers’ have: – same mass – same ‘charge’ – different shapes

Gravitational force takes place of Potential Gradient of ring electrodes

Air resistance takes place of gas in drift tube What is the result?

– ‘Ball’ has higher mobility and falls faster – Sheet has lower mobility and falls slower

Paper Sheet Paper ‘Ball’

Page 6: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 6

Ion Mobility Applications

IMS and Mass Spectrometry have been combined before Previous hybrids

– Low duty cycle & Low sensitivity – Consequence of “gating” process

Page 7: Advanced polymer characterisation using HDMS

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What is it? – Platform combining high efficiency ion mobility with

Qtof tandem mass spectrometry

What does it do? – Enables analysis of compounds differentiated by size and

shape, as well as mass o Increased specificity and sample definition

Page 9: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 9

TOF mode HDMSTM mode

SYNAPT G2-Si Operating Modes

• Step-up from Xevo G2-S Qtof

• QuanTof enabled

− Exact Mass <1ppm, 50k Resolution FWHM

− Linearity and Scan Speed

• MS/MS capability

• Universal source architecture

• MALDI source

• Data Processing Tools

Ion Mobility Separations

• Increase peak capacity of separations

• Probe structural conformation

• Physical measurement of ions in gas phase

• Enhance information from MS/MS

Page 10: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 10

SYNAPT G2-Si Schematic

Page 11: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 11

Travelling Wave Ion Mobility Separation

Turbomolecular Pumps

Trap IMS Transfer

Gate

N2

Ar

Ions In

Ions Out

0.05mbar

He

0.05mbar 3mbar

Page 12: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 12

Travelling Wave Ion Mobility Separation with MS

Precursor ions separated by IMS

Drift time

m/z

Drift time

m/z

Precursor and products share same drift time

From Source via Quadrupole

To Tof/MS Analyzer

Page 13: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 13 Drift Time

m/z

Travelling Wave Ion Mobility Separation with MS

Page 14: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 14

SYNAPT ‘Heat Map’

Page 15: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 15

SYNAPT ‘Heat Map’ M

ass

(m/z

)

Drift Time

Page 16: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 16

SYNAPT ‘Heat Map’

IMS : 0.9 mb N 2 Pulse : 10 V

Velocity : 300 m/s

4+

3+

1+

2+

2+

6+

Mas

s (m

/z)

Drift Time

Orthogonal separation reveals structure within complex sample

Page 17: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 17

SYNAPT ‘Heat Map’

IMS : 0.9 mb N 2 Pulse : 10 V

Velocity : 300 m/s

4+

3+

1+

2+

2+

6+

Mas

s (m

/z)

Drift Time

Page 18: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 18

Resolving Structural Isomers

Drift time

Precursor ions separated by IMS

TIC

Drift time

m/z

Precursor and products share same drift time

NB. Data from SYNAPT G1

Page 19: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 19

Polymer Backbone Evaluation

Page 20: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 20

TOF mode

SYNAPT G2-S Operating Modes

• Step-up from Xevo G2-S Qtof

• QuanTof enabled

− Exact Mass <1ppm, 40k Resolution

− Linearity and Scan Speed

• MS/MS capability

• Universal source architecture

• MALDI source

• Data Processing Tools

Page 21: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 21

Structural Confirmation of Polymeric Material using MS/MS and Fragmentation

Mechanisms

Page 22: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 22

Background

The backbone connectivity of a polymer is important because it has an impact on its physical properties – MS/MS experiments can provide the data to confirm a polymer’s

backbone connectivity

Polylactides have recently attracted a lot of attention from both academic and industrial research due to their bio-compatible and bio-degradable nature

This polymer was synthesized via a ring opening polymerization reaction

Page 23: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 23

MS Results

The first step to determining the polymer’s backbone connectivity is to perform an MS experiment, followed by MS/MS analysis

Page 24: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 24

Data Interpretation

The MS/MS results show three series of ions

Page 25: Advanced polymer characterisation using HDMS

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Fragmentation Mechanisms (1)

The MS/MS data are consistent with the following three fragmentation mechanisms

OCH3

O

O

O

CH3

O

O

CH3

O

O

CH3

OH

Hn

nCH2

OCH3

O

OH

O

O

O

CH3

O

O

CH3

OH

H

n

OH

O

CH2

OH

O

CH3

O

O

CH3

OH

86 mass unit loss

72 mass unit loss

Series

Page 26: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 26

Fragmentation Mechanisms (2)

CH3

OCH3

O

O

O

CH3

O

O

CH3

O

O

O

O

CH3

OH

H

n

nCH3

OCH3

O

O

O

CH3

O

O

O

O

CH2

H

OH

O

CH3

OH

nCH3

OCH3

O

O

O

CH3

O

O

CH2

OH

O

CH2

90 mass unit loss

72 mass unit losses

Series

Page 27: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 27

Fragmentation Mechanisms (3)

OCH3

O

O

O

CH3

O

O

CH3

O

O

CH3

O

O

O

O

CH3

OH

H Hn

CH2

OCH3

O

OH

O

CH3

O

O

CH3

O

O

CH3

O

O

CH2

OH

O

CH3

OH

n

176 mass unit loss

Series

Page 28: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 28

Polymer Folding Patterns

Page 29: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 29

HDMSTM mode

SYNAPT G2-S Operating Modes

Ion Mobility Separations

• Increase peak capacity of separations

• Probe structural conformation

• Physical measurement of ions in gas phase

• Enhance information from MS/MS

Page 30: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 30

Polymer Folding Patterns

Page 31: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 31

Polymer Folding Patterns

Page 32: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 32

Polymer Folding Patterns

Page 33: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 33

Linear vs Branched

Page 34: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 34

Linear PEG Mobility Plot

Drift time is governed by: – Size – Shape – Charge state

3D size and shape of a

polymeric ions are governed by: – Repeat unit chemistry – 3D arrangement – Backbone connectivity – Cation(s)

SG2-S_20130213_001.raw : 1

Increasing no. monomer units

Incr

easi

ng C

CS

A mobility plot combines exact mass measurements, ion intensity and 3D size resulting in distinctive mobility plots that could be considered as a “fingerprint”.

Page 35: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 35

Repeat Experiments

SG2-S_20130213_001.raw : 1

Page 36: Advanced polymer characterisation using HDMS

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Uncharacterised PEG

SG2-S_20130213_001.raw : 1

Singly charged

Doubly charged

Characterized Uncharacterized

Page 37: Advanced polymer characterisation using HDMS

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MS/MS Results

MS/MS Spectrum Characterized PEG

MS/MS Spectrum Uncharacterized PEG

863

877

Page 38: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 38

Data Interpretation

MS/MS Spectrum Characterized PEG

Page 39: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 39

Fragmentation Mechanism

Page 40: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 40

Mobility Plot – Uncharacterized PEG

Some data is be more easily viewed in a mobility plot

DriftScope allows data to be selected and viewed in isolation from the full data set.

Page 41: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 41

Uncharacterized PEG

Several series of ions with a mass difference of 44 Da – Labeled with white and red

lines

At 608 m/z a third series of ions becomes visible – Highlighted with the green

arrow

608 m/z is consistent with the loss of three end groups – Indicating the unknown

sample is branched

Page 42: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 42

Resolving Different Polymer Charge States

Page 43: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 43

20120710_SG2_004.raw : 1

Resolve Charge States

PMMA 4000 PEG 3400

m/z

Drift

tim

e

Page 44: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 44

Resolve Charge States

20120710_SG2_004.raw : 1

3+

2+ 2+

3+

1+

5+ 4+

Drift

tim

e

m/z

PMMA 4000 PEG 3400

Page 45: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 45

Resolve Charge States

PMMA 2+ PEG 3+

http://www.waters.com/webassets/cms/library/docs/720004342en.pdf

Page 46: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 46

Simplifying Complex Polymer Data Sets

Page 47: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 47

99 Da Repeat Unit

44 Da Repeat Unit

O

NCH3 CH3

CH3

CH2

O

CH3

x y

n

PDMA-co-PEGMA

Simplify Complex Data Sets by Reducing Spectral Complexity

Page 48: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 48

Log scale

Simplify Complex Data Sets by Reducing Spectral Complexity

Page 49: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 49

Square root scale

Simplify Complex Data Sets by Reducing Spectral Complexity

Page 50: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 50

Simplify Complex Data Sets by Reducing Spectral Complexity

Removing “hot spots”

Page 51: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 51

Simplify Complex Data Sets by Reducing Spectral Complexity

1° series 99 mass difference

PDMA polymer

2° series?

99 99 99

Page 52: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 52

Zoom in on primary series

Select sub-series

Simplify Complex Data Sets by Reducing Spectral Complexity

2° series 44 mass difference

PEG component @ 1%

44 44 44

Page 53: Advanced polymer characterisation using HDMS

©2015 Waters Corporation 53

Increased Peak Capacity for Separation – Resolve structural isomers – Resolve nominal isobaric

interferences – Resolve charge states in complex

spectra – Resolve ions with different charge

sites on same molecule – Enable simple identification of

relationships between components – Family classes

– Extends capabilities of UPLC Tof/MS o Resolve compounds that

chromatography may not o Resolve isomers that mass

resolution cannot

Physical Measurement of ions in gas phase – Determine CCS of ions – Confirm identity of structural

isomers – Observe polymer conformation

Advanced Structural Elucidation – Utilise HDMSE capability

o Combines mobility separations and MSE acquisition

– Enhanced MS/MS capability o Select precursors in quad;

fragment in trap and transfer region

o Provides MS3 capability

HDMS Capabilities for Chemical Materials Characterisation