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©2015 Waters Corporation 1
The Use of HRMS and
Statistical Analysis in
the Investigation of
Food Authenticity
Basmati Rice
©2015 Waters Corporation 2
Contents
 Overview
 Experimental Workflow
 Samples and Sample Preparation
 Data Collection and Processing
 Initial Results
 Summary and Conclusions
©2015 Waters Corporation 3
Why ?
©2015 Waters Corporation 4
For years, Indian traders have been passing off a
lesser quality rice, CSR 30, as the world's finest
long-grained, aromatic rice, Basmati, in key markets
like the US, Canada and the EU. In the process, the
rice exports enjoy the duty exemption accorded to
pure Basmati in the EU, thousands of consumers
get duped both in the domestic and export
markets, and the stock of traditional grain gets
depleted on Indian farms.
Basmati Rice Economic Adulteration
In Britain, the Food Standards Agency found in 2005 that
about half of all basmati rice sold was adulterated with other
strains of long-grain rice, prompting rice importers to sign
up to a code of practice.[8] A 2010 U.K. test on rice supplied
by wholesalers found four out of 15 samples had cheaper
rice mixed with basmati, and one had no basmati at all
©2015 Waters Corporation 5
Analysis Workflow
©2015 Waters Corporation 6
Analysis Workflow
©2015 Waters Corporation 7
Samples and Sample Preparation
 10 g dry rice in headspace/SPME vial
 3 Replicates of each sample
 A pooled composite sample
 Randomized sample list
Sample Description Sample ID
1 Basmati Manufacturer 1 BAS M1
2 Basmati Manufacturer 2 BAS M2
3 Long Grain Manufacturer 3 LG M3
4 Basmati Manufacturer 4 BAS M4
5 Jasmine Manufacturer 5 JAS M5
6 Basmati Manufacturer 3 BAS M3
7 Jasmine Manufacturer 4 JAS M4
8 Composite Sample Pool
©2015 Waters Corporation 8
Analysis Workflow
©2015 Waters Corporation 9
Instrument Conditions: SPME Autosampler
Supelco SPME gray hub notched
Divinylbenzen/Carboxen/Polydimethylsiloxane
(DVB/CAR/PDMS)
©2015 Waters Corporation 10
Instrument Conditions: GC
Column: 30 m DB-5
©2015 Waters Corporation 11
Analysis Workflow
©2015 Waters Corporation 12
Universal Source Technology
…High Performance and simplicity of operation
IonKey Source
with nanoTile Technology.
Plug & Play nanoFlow
APGC – Atmospheric Pressure
Gas Chromatography
ASAP – Atmospheric Pressure
Solids Analysis Probe
MALDI nanoFlow ESI APCi ESCi APPI TRIZAIC ASAP APGC
Wide Range of Ionization Options
©2015 Waters Corporation 13
Instrumentation Setup
©2015 Waters Corporation 14
Mass Analyser GC Oven
N2 make-up gas delivered
through transfer line interior
N2 meets GC eluent flow
at transfer line tip
With thanks to Paul Silcock
APGC – How it works
©2015 Waters Corporation 15
Comparison of EI vs APGC spectrum of
Chlorfenapyr
MSE Low energy
MSE High energy
EI Library spectrum
APGC spectrum
C15H11BrClF3N2O
©2015 Waters Corporation 16
Instrument Conditions:
SYNAPT G2-Si
Source Conditions
HDMSE Acquisition Mode
©2015 Waters Corporation 17
MSE
Fragmentation in Trap or
transfer
Alternate Low and High
Energy Scans
©2015 Waters Corporation 18
MSE – no mobility separation
Imazalil from an EU Mandarin PT
Sample
Low Energy
High Energy
©2015 Waters Corporation 19
Fragmentation in Transfer
Mobility separation
Alternate Low and High Energy Scans
precursors and products have same drift
time
HDMSE
©2015 Waters Corporation 20
Transfer Fragmentation
Drift time
Precursor ions
m/z
Precursor and products
are time aligned
Drift time
m/z
Precursor ions
©2015 Waters Corporation 21
IMS
-9 -8 -7 -6
TOF MS LC
-5 -4 -3 -2 -1 0 1 2 3 4
n
10n seconds
Ion Mobility: an Orthogonal
Dimension of Separation
©2015 Waters Corporation 22
HDMSE – MSE with a mobility
separation
Low Energy
High Energy
©2015 Waters Corporation 23
Analysis Workflow
©2015 Waters Corporation 24
Progenesis QI - Workflow
Alignment
Peak Detection
Component Intensity
Comparison
Identification
Statistics
Deconvolution
©2015 Waters Corporation 25
Initial Results: PCA
Basmati ?
Jasmine ?
Long Grain ?
©2015 Waters Corporation 26
PCA to S Plot
©2015 Waters Corporation 27
S Plot
Common Markers
Markers prominent in Long Grain
Marker Importance
Marker
Confidence
Markers prominent in Basmati
©2015 Waters Corporation 28
Markers of Interest
©2015 Waters Corporation 29
Correlation Analysis
©2015 Waters Corporation 30
Correlation Analysis: Basmati
Markers
Prominent markers in basmati
©2015 Waters Corporation 31
Correlation Analysis: Long Grain
Markers
Prominent markers in long grain
©2015 Waters Corporation 32
Finding Markers of Interest
So, what
now?
©2015 Waters Corporation 33
Elucidation
Elucidation by:
— Elemental Composition
— Integrated Chemspider Search
— Fragment Match
©2015 Waters Corporation 34
Elucidation
©2015 Waters Corporation 35
Elucidation
©2015 Waters Corporation 36
Elucidation
©2015 Waters Corporation 37
Elucidation
©2015 Waters Corporation 38
Elucidation
©2015 Waters Corporation 39
Progenesis QI Database Search
©2015 Waters Corporation 40
Progenesis QI Database Search
 The components of interest can be searched
against a number of user customizable
databases
 A list of potential identifications is generated
and scored using mass accuracy, isotope
distribution, retention time, drift time and
fragmentation
 If the data base contains structures theoretical
fragmentation is performed and a fragmentation
score is used to rank the potential identifications
©2015 Waters Corporation 41
Progenesis QI Database Search
©2015 Waters Corporation 42
Progenesis QI Database Search
HDMSE
MSE
©2015 Waters Corporation 43
Further Database Search Results
©2015 Waters Corporation 44
Further Database Search Results
©2015 Waters Corporation 45
Further Database Search Results
©2015 Waters Corporation 46
Further Database Search Results
©2015 Waters Corporation 47
Finding Markers of Interest
X
©2015 Waters Corporation 48
Waters “Omics” Research Platform
Solutions with Progenesis QI Informatics
Proteomics
Metabolomics
Lipidomics
Authenticity
Plant/Food
Profiling
Plant
Metabolomics
©2015 Waters Corporation 49
Research to Routine
Xevo G2-S Q-ToF SYNAPT G2-Si HDMS
X
©2015 Waters Corporation 50
Summary of Key Information Points
Identification: Elucidation or via database search. Drift and
time aligned HDMSE data facilitates the process.
Isolation: Progenesis QI alignment and peak picking
algorithms ensure markers of all intensities are correctly
tracked across all samples.
The principle behind the experiments has remained the same.
These advancements in hardware and informatics are
reducing the size of the task
Detection: HDMSE acquisition: High Specificity, enhanced
peak capacity over standard MSE acquisition.
©2015 Waters Corporation 51
So What Now for Basmati Rice?
 Method development and proof principle using off the shelf samples.
 Now require a collaborator with access to well characterised samples
that are known pure/adulterated/spiked/suspect.
 Investigate the use of relevant available databases for facile marker
searching.
 Ideal situation is to get from research to quality control.
 The principle of detection, isolation and identification can be used for
other applications
— Contamination investigation
— Good tasting product vs bad
— Food packaging leachables extractables
— Food Metabolomics
©2015 Waters Corporation 52
Questions ?

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The use of High Resolution Mass Spectrometry and Statistical Analysis in the Investigation of Food Authenticity - Waters Corporation Food Research

  • 1. ©2015 Waters Corporation 1 The Use of HRMS and Statistical Analysis in the Investigation of Food Authenticity Basmati Rice
  • 2. ©2015 Waters Corporation 2 Contents  Overview  Experimental Workflow  Samples and Sample Preparation  Data Collection and Processing  Initial Results  Summary and Conclusions
  • 4. ©2015 Waters Corporation 4 For years, Indian traders have been passing off a lesser quality rice, CSR 30, as the world's finest long-grained, aromatic rice, Basmati, in key markets like the US, Canada and the EU. In the process, the rice exports enjoy the duty exemption accorded to pure Basmati in the EU, thousands of consumers get duped both in the domestic and export markets, and the stock of traditional grain gets depleted on Indian farms. Basmati Rice Economic Adulteration In Britain, the Food Standards Agency found in 2005 that about half of all basmati rice sold was adulterated with other strains of long-grain rice, prompting rice importers to sign up to a code of practice.[8] A 2010 U.K. test on rice supplied by wholesalers found four out of 15 samples had cheaper rice mixed with basmati, and one had no basmati at all
  • 5. ©2015 Waters Corporation 5 Analysis Workflow
  • 6. ©2015 Waters Corporation 6 Analysis Workflow
  • 7. ©2015 Waters Corporation 7 Samples and Sample Preparation  10 g dry rice in headspace/SPME vial  3 Replicates of each sample  A pooled composite sample  Randomized sample list Sample Description Sample ID 1 Basmati Manufacturer 1 BAS M1 2 Basmati Manufacturer 2 BAS M2 3 Long Grain Manufacturer 3 LG M3 4 Basmati Manufacturer 4 BAS M4 5 Jasmine Manufacturer 5 JAS M5 6 Basmati Manufacturer 3 BAS M3 7 Jasmine Manufacturer 4 JAS M4 8 Composite Sample Pool
  • 8. ©2015 Waters Corporation 8 Analysis Workflow
  • 9. ©2015 Waters Corporation 9 Instrument Conditions: SPME Autosampler Supelco SPME gray hub notched Divinylbenzen/Carboxen/Polydimethylsiloxane (DVB/CAR/PDMS)
  • 10. ©2015 Waters Corporation 10 Instrument Conditions: GC Column: 30 m DB-5
  • 11. ©2015 Waters Corporation 11 Analysis Workflow
  • 12. ©2015 Waters Corporation 12 Universal Source Technology …High Performance and simplicity of operation IonKey Source with nanoTile Technology. Plug & Play nanoFlow APGC – Atmospheric Pressure Gas Chromatography ASAP – Atmospheric Pressure Solids Analysis Probe MALDI nanoFlow ESI APCi ESCi APPI TRIZAIC ASAP APGC Wide Range of Ionization Options
  • 13. ©2015 Waters Corporation 13 Instrumentation Setup
  • 14. ©2015 Waters Corporation 14 Mass Analyser GC Oven N2 make-up gas delivered through transfer line interior N2 meets GC eluent flow at transfer line tip With thanks to Paul Silcock APGC – How it works
  • 15. ©2015 Waters Corporation 15 Comparison of EI vs APGC spectrum of Chlorfenapyr MSE Low energy MSE High energy EI Library spectrum APGC spectrum C15H11BrClF3N2O
  • 16. ©2015 Waters Corporation 16 Instrument Conditions: SYNAPT G2-Si Source Conditions HDMSE Acquisition Mode
  • 17. ©2015 Waters Corporation 17 MSE Fragmentation in Trap or transfer Alternate Low and High Energy Scans
  • 18. ©2015 Waters Corporation 18 MSE – no mobility separation Imazalil from an EU Mandarin PT Sample Low Energy High Energy
  • 19. ©2015 Waters Corporation 19 Fragmentation in Transfer Mobility separation Alternate Low and High Energy Scans precursors and products have same drift time HDMSE
  • 20. ©2015 Waters Corporation 20 Transfer Fragmentation Drift time Precursor ions m/z Precursor and products are time aligned Drift time m/z Precursor ions
  • 21. ©2015 Waters Corporation 21 IMS -9 -8 -7 -6 TOF MS LC -5 -4 -3 -2 -1 0 1 2 3 4 n 10n seconds Ion Mobility: an Orthogonal Dimension of Separation
  • 22. ©2015 Waters Corporation 22 HDMSE – MSE with a mobility separation Low Energy High Energy
  • 23. ©2015 Waters Corporation 23 Analysis Workflow
  • 24. ©2015 Waters Corporation 24 Progenesis QI - Workflow Alignment Peak Detection Component Intensity Comparison Identification Statistics Deconvolution
  • 25. ©2015 Waters Corporation 25 Initial Results: PCA Basmati ? Jasmine ? Long Grain ?
  • 26. ©2015 Waters Corporation 26 PCA to S Plot
  • 27. ©2015 Waters Corporation 27 S Plot Common Markers Markers prominent in Long Grain Marker Importance Marker Confidence Markers prominent in Basmati
  • 28. ©2015 Waters Corporation 28 Markers of Interest
  • 29. ©2015 Waters Corporation 29 Correlation Analysis
  • 30. ©2015 Waters Corporation 30 Correlation Analysis: Basmati Markers Prominent markers in basmati
  • 31. ©2015 Waters Corporation 31 Correlation Analysis: Long Grain Markers Prominent markers in long grain
  • 32. ©2015 Waters Corporation 32 Finding Markers of Interest So, what now?
  • 33. ©2015 Waters Corporation 33 Elucidation Elucidation by: — Elemental Composition — Integrated Chemspider Search — Fragment Match
  • 34. ©2015 Waters Corporation 34 Elucidation
  • 35. ©2015 Waters Corporation 35 Elucidation
  • 36. ©2015 Waters Corporation 36 Elucidation
  • 37. ©2015 Waters Corporation 37 Elucidation
  • 38. ©2015 Waters Corporation 38 Elucidation
  • 39. ©2015 Waters Corporation 39 Progenesis QI Database Search
  • 40. ©2015 Waters Corporation 40 Progenesis QI Database Search  The components of interest can be searched against a number of user customizable databases  A list of potential identifications is generated and scored using mass accuracy, isotope distribution, retention time, drift time and fragmentation  If the data base contains structures theoretical fragmentation is performed and a fragmentation score is used to rank the potential identifications
  • 41. ©2015 Waters Corporation 41 Progenesis QI Database Search
  • 42. ©2015 Waters Corporation 42 Progenesis QI Database Search HDMSE MSE
  • 43. ©2015 Waters Corporation 43 Further Database Search Results
  • 44. ©2015 Waters Corporation 44 Further Database Search Results
  • 45. ©2015 Waters Corporation 45 Further Database Search Results
  • 46. ©2015 Waters Corporation 46 Further Database Search Results
  • 47. ©2015 Waters Corporation 47 Finding Markers of Interest X
  • 48. ©2015 Waters Corporation 48 Waters “Omics” Research Platform Solutions with Progenesis QI Informatics Proteomics Metabolomics Lipidomics Authenticity Plant/Food Profiling Plant Metabolomics
  • 49. ©2015 Waters Corporation 49 Research to Routine Xevo G2-S Q-ToF SYNAPT G2-Si HDMS X
  • 50. ©2015 Waters Corporation 50 Summary of Key Information Points Identification: Elucidation or via database search. Drift and time aligned HDMSE data facilitates the process. Isolation: Progenesis QI alignment and peak picking algorithms ensure markers of all intensities are correctly tracked across all samples. The principle behind the experiments has remained the same. These advancements in hardware and informatics are reducing the size of the task Detection: HDMSE acquisition: High Specificity, enhanced peak capacity over standard MSE acquisition.
  • 51. ©2015 Waters Corporation 51 So What Now for Basmati Rice?  Method development and proof principle using off the shelf samples.  Now require a collaborator with access to well characterised samples that are known pure/adulterated/spiked/suspect.  Investigate the use of relevant available databases for facile marker searching.  Ideal situation is to get from research to quality control.  The principle of detection, isolation and identification can be used for other applications — Contamination investigation — Good tasting product vs bad — Food packaging leachables extractables — Food Metabolomics
  • 52. ©2015 Waters Corporation 52 Questions ?