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©2015 Waters Corporation 1
The Analysis Of Allergens in Raw and
Roasted Peanuts using nanoscale UPLC &
Time-of-Flight Mass Spectrometry
©2015 Waters Corporation 2
Presentation Overview
 Allergens Background
 Technologies for Allergen Analysis
 Experimental Workflow
– Sample Prep
– Instrument set-up
– Software
 Results
 Conclusions
©2015 Waters Corporation 3
Background: Allergens
Overview
 Incidence of food allergy in industrialised populations is
increasing
 Effects for suffers can be fatal
 Food Regulations WW
– Reduce cross-contamination in factory
– Food Labelling
©2015 Waters Corporation 4
Background: Allergens
Type of Food Categories
©2015 Waters Corporation 5
Analysis of Allergens
Technologies
ELISA
PCR
MS
IncreasingCurrentUsage
IncreasingInstrument
Complexity&Price
©2015 Waters Corporation 6
Workflow
SAMPLE PREPARATION
(1) Protein extraction (2) Tryptic digest
DATA ACQUISITION
Acquire data-independent MSE Data
SOFTWARE PROCESSING
PLGS
INSTRUMENT SET-UP
(1) nanoACQUITY UPLC ® (2) XevoTM QTof MS
©2015 Waters Corporation 7
Workflow (1)
SAMPLE PREPARATION
 PART 1:
— Ara h1 protein extraction from raw and roasted peanut
 PART 2:
— Tryptic digest of raw and roasted Ara h1 extract (RapiGest™ SF)
 (PART 3:)
— Ara h1 identification and quantification in matrix (additional use
of ADH)
©2015 Waters Corporation 9
nanoACQUITY UPLC
 Column:
– nanoACQUITY™ BEH C18, 75 mm x
150 mm
 Flow Rate:
– 300 nL/min
 Mobile Phase:
– A: 0.1% FA in Water
– B: 0.1% FA in Acetonitrile
 Gradient:
Workflow (2)
INSTRUMENT SET-UP
(1) nanoACQUITY UPLC ® (2) XevoTM QTof MS
©2015 Waters Corporation 10
nanoACQUITY data
Raw peanut sample
©2015 Waters Corporation 11
Xevo QTof MS
 Ionisation Mode:
– Electrospray Positive Ion
 Capillary:
– 3.3 V
 Cone:
– 25 V
 Source Temperature:
– 100oC
 LC/MSE Conditions:
– MS scan (Low CE): 6 V
– MSE scan (High CE ): 15 – 40 V
– Scan time: 0.6 sec
Workflow (2)
INSTRUMENT SET-UP
(1) nanoACQUITY UPLC ® (2) XevoTM QTof MS
©2015 Waters Corporation 12
 UPLC-MSE provides ‘all the data, all the time’
– More information from a single analysis
 UPLC-MSE employs a simple methodology which
– Uses generic methods of acquisition
– Uses relevant Application Manager to mine data set
– ‘Acquire your data, Ask questions later!’
Workflow
DATA ACQUISITION
Acquire data-independent MSE Data
©2015 Waters Corporation 13
Advantages of MSE with PLGS
Time-aligned spectra
Low energy fragmentation
High energy fragmentation
*
©2015 Waters Corporation 14
Workflow
SOFTWARE PROCESSING
PLGS (ProteinLynx Global SERVER™ )
Databank: SwissProt
False Positive Rate: 4%
Fixed modification: Carbamidomethyl C
Variable modification: Acetyl N-Term,
Deamidation N, Deamidation Q, Met-
Oxidation, Hydroxy P
N-Linked Glycosylation
~10 ppm window for precursor ions;
~25 ppm window for fragment ions
©2015 Waters Corporation 15
ProteinLynx Global SERVER™
Parameters
•Data preparation
Default parameters were used. Lock mass correction: 785.8426.
•Work flow
Databank: SwissProt
False Positive Rate: 4%
Fixed modification: Carbamidomethyl C
Variable modification: Acetyl N-Term,
Deamidation N, Deamidation Q, Met-
Oxidation, Hydroxy P
N-Linked Glycosylation
~10 ppm window for precursor ions;
~25 ppm window for fragment ions
©2015 Waters Corporation 16
Peptide Sequence Identification:
GSEEDITNPINLR
©2015 Waters Corporation 17
Peptide sequences observed in
both raw & roasted samples
©2015 Waters Corporation 18
Relative intensities of peptide
sequences present in both samples
©2015 Waters Corporation 19
Peptide Coverage
Raw and Roasted Samples
Signal peptide: 1-25
Raw Sample Roasted Sample
©2015 Waters Corporation 20
Quantification of Ara H1
in Matrix
©2015 Waters Corporation 21
Experimental Overview
 Aim:
– To identify and quantify Ara H1 in complex
matrix
 Samples:
 Two samples investigated – different
concentrations:
– Sample A – 1 : 3 (v/v) Sample 1 vs Standard
solution
– Sample B – 1 : 200 (v/v) Sample 1 vs Standard
solution
©2015 Waters Corporation 22
Workflow
SAMPLE PREPARATION
 PART 1:
— Ara h1 protein extraction from raw and roasted peanut
 PART 2:
— Tryptic digest of raw and roasted Ara h1 extract (RapiGest™ SF)
 (PART 3:)
— Ara h1 identification and quantification in matrix (additional use
of ADH)
©2015 Waters Corporation 23
Sample A – 1 : 3 dilution
MS – Low collision
energy data
MSE – High collision
energy data
©2015 Waters Corporation 24
Sample B – 1 : 200 dilution
MS – Low collision
energy data
MSE – High collision
energy data
©2015 Waters Corporation 25
Sample B – 1 : 200 dilution
Peptide Coverage
©2015 Waters Corporation 26
Summary
 Challenges for analysis of allergenic proteins – many different
approaches already used
– Complexity added – Typical food processing (e.g. food processing)
can alter the markers peptides present / amount that they are
present in the samples
 Analytical tools and software can support confidence in the
results obtained
– ProteinLynx Global Server (PLGS) with intelligent filtering and
scoring routines minimizes occurrence of false positive results
– UPLC-MSE fragment ion exact mass data provides greater
confidence in protein identification in food samples

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The Analysis of Allergens in Raw and Roasted Peanuts using Nanoscale UPLC & Time of-Flight Mass Spectrometry - Waters Corporation Food Research

  • 1. ©2015 Waters Corporation 1 The Analysis Of Allergens in Raw and Roasted Peanuts using nanoscale UPLC & Time-of-Flight Mass Spectrometry
  • 2. ©2015 Waters Corporation 2 Presentation Overview  Allergens Background  Technologies for Allergen Analysis  Experimental Workflow – Sample Prep – Instrument set-up – Software  Results  Conclusions
  • 3. ©2015 Waters Corporation 3 Background: Allergens Overview  Incidence of food allergy in industrialised populations is increasing  Effects for suffers can be fatal  Food Regulations WW – Reduce cross-contamination in factory – Food Labelling
  • 4. ©2015 Waters Corporation 4 Background: Allergens Type of Food Categories
  • 5. ©2015 Waters Corporation 5 Analysis of Allergens Technologies ELISA PCR MS IncreasingCurrentUsage IncreasingInstrument Complexity&Price
  • 6. ©2015 Waters Corporation 6 Workflow SAMPLE PREPARATION (1) Protein extraction (2) Tryptic digest DATA ACQUISITION Acquire data-independent MSE Data SOFTWARE PROCESSING PLGS INSTRUMENT SET-UP (1) nanoACQUITY UPLC ® (2) XevoTM QTof MS
  • 7. ©2015 Waters Corporation 7 Workflow (1) SAMPLE PREPARATION  PART 1: — Ara h1 protein extraction from raw and roasted peanut  PART 2: — Tryptic digest of raw and roasted Ara h1 extract (RapiGest™ SF)  (PART 3:) — Ara h1 identification and quantification in matrix (additional use of ADH)
  • 8. ©2015 Waters Corporation 9 nanoACQUITY UPLC  Column: – nanoACQUITY™ BEH C18, 75 mm x 150 mm  Flow Rate: – 300 nL/min  Mobile Phase: – A: 0.1% FA in Water – B: 0.1% FA in Acetonitrile  Gradient: Workflow (2) INSTRUMENT SET-UP (1) nanoACQUITY UPLC ® (2) XevoTM QTof MS
  • 9. ©2015 Waters Corporation 10 nanoACQUITY data Raw peanut sample
  • 10. ©2015 Waters Corporation 11 Xevo QTof MS  Ionisation Mode: – Electrospray Positive Ion  Capillary: – 3.3 V  Cone: – 25 V  Source Temperature: – 100oC  LC/MSE Conditions: – MS scan (Low CE): 6 V – MSE scan (High CE ): 15 – 40 V – Scan time: 0.6 sec Workflow (2) INSTRUMENT SET-UP (1) nanoACQUITY UPLC ® (2) XevoTM QTof MS
  • 11. ©2015 Waters Corporation 12  UPLC-MSE provides ‘all the data, all the time’ – More information from a single analysis  UPLC-MSE employs a simple methodology which – Uses generic methods of acquisition – Uses relevant Application Manager to mine data set – ‘Acquire your data, Ask questions later!’ Workflow DATA ACQUISITION Acquire data-independent MSE Data
  • 12. ©2015 Waters Corporation 13 Advantages of MSE with PLGS Time-aligned spectra Low energy fragmentation High energy fragmentation *
  • 13. ©2015 Waters Corporation 14 Workflow SOFTWARE PROCESSING PLGS (ProteinLynx Global SERVER™ ) Databank: SwissProt False Positive Rate: 4% Fixed modification: Carbamidomethyl C Variable modification: Acetyl N-Term, Deamidation N, Deamidation Q, Met- Oxidation, Hydroxy P N-Linked Glycosylation ~10 ppm window for precursor ions; ~25 ppm window for fragment ions
  • 14. ©2015 Waters Corporation 15 ProteinLynx Global SERVER™ Parameters •Data preparation Default parameters were used. Lock mass correction: 785.8426. •Work flow Databank: SwissProt False Positive Rate: 4% Fixed modification: Carbamidomethyl C Variable modification: Acetyl N-Term, Deamidation N, Deamidation Q, Met- Oxidation, Hydroxy P N-Linked Glycosylation ~10 ppm window for precursor ions; ~25 ppm window for fragment ions
  • 15. ©2015 Waters Corporation 16 Peptide Sequence Identification: GSEEDITNPINLR
  • 16. ©2015 Waters Corporation 17 Peptide sequences observed in both raw & roasted samples
  • 17. ©2015 Waters Corporation 18 Relative intensities of peptide sequences present in both samples
  • 18. ©2015 Waters Corporation 19 Peptide Coverage Raw and Roasted Samples Signal peptide: 1-25 Raw Sample Roasted Sample
  • 19. ©2015 Waters Corporation 20 Quantification of Ara H1 in Matrix
  • 20. ©2015 Waters Corporation 21 Experimental Overview  Aim: – To identify and quantify Ara H1 in complex matrix  Samples:  Two samples investigated – different concentrations: – Sample A – 1 : 3 (v/v) Sample 1 vs Standard solution – Sample B – 1 : 200 (v/v) Sample 1 vs Standard solution
  • 21. ©2015 Waters Corporation 22 Workflow SAMPLE PREPARATION  PART 1: — Ara h1 protein extraction from raw and roasted peanut  PART 2: — Tryptic digest of raw and roasted Ara h1 extract (RapiGest™ SF)  (PART 3:) — Ara h1 identification and quantification in matrix (additional use of ADH)
  • 22. ©2015 Waters Corporation 23 Sample A – 1 : 3 dilution MS – Low collision energy data MSE – High collision energy data
  • 23. ©2015 Waters Corporation 24 Sample B – 1 : 200 dilution MS – Low collision energy data MSE – High collision energy data
  • 24. ©2015 Waters Corporation 25 Sample B – 1 : 200 dilution Peptide Coverage
  • 25. ©2015 Waters Corporation 26 Summary  Challenges for analysis of allergenic proteins – many different approaches already used – Complexity added – Typical food processing (e.g. food processing) can alter the markers peptides present / amount that they are present in the samples  Analytical tools and software can support confidence in the results obtained – ProteinLynx Global Server (PLGS) with intelligent filtering and scoring routines minimizes occurrence of false positive results – UPLC-MSE fragment ion exact mass data provides greater confidence in protein identification in food samples