Orbitrap-based HRAM Workflows for Next Generation Contaminants - PowerPoint PPT Presentation

Orbitrap-based HRAM Workflows for Next Generation Contaminants Screening GOH Lin-Tang, PhD Senior Manager (SEA), Mass Spectrometry The world leader in serving science

Introduction • Food Safety Ensuring that food is free from microbiological or chemical contaminants/residues that might cause harm to human health • Food Security Ensuring a plentiful supply of safe food, energy and nutritional needs are met, at the global, national and household level • Food Fraud Deliberate adulteration of food to deceive consumers usually for financial gain. Such act may not have food safety implications however most adulteration cases invariably involve addition of illegal substances to foods. 2

Screening Contaminants Target screening is an excellent tool + High throughput, high sensitivity + Easy to use 3

What about Everything Else? Targeted analysis has its limits… its targeted How do we detect all the other contaminants in a sample? Which mass spectrometry platform technology to use? 4

Benefits of HRAM Screening  Capable of global analysis of sample  Multiple target contaminants can be included and screened at high specificity  Other compounds within specified mass range can be screened  Detected masses can be identified via HRAM libraries, without standards – providing putative IDs  Detected compounds can be quantified accurately 5

Current Thermo Scientific Product Portfolio Tribrid Orbitrap Orbitrap Fusion Lumos Orbitrap Fusion LTQ Velos Pro TSQ Quantiva QE Focus, QE Orbitrap Elite QE Plus, QE HF LTQ XL TSQ Endura Ion Trap Triple Quadrupole Exactive Plus LTQ Orbitrap XL (EMR version) Hybrid Orbitrap Exactive Portfolio 6

2000: The Principle of Orbitrap Mass Analyzer 7

Orbitrap Mass Analyzer: Principle of Operation r z φ Hyper-logarithmic potential distribution: “ideal Kingdon trap” { } k = ⋅ − + ⋅ 2 2 2 U ( r , z ) z r / 2 R ln( r / R ) m m 2  Characteristic frequencies: Frequency of rotation ω φ • Frequency of radial oscillations ω r • Frequency of axial oscillations ω z • k ω 2 2     ω = R m R m ω ϕ = − ω = ω −     z 1 2 z r z     m / q R R 2 Makarov A. Anal. Chem. 2000, 72 , 1156-1162. 8

Schematic of Quadrupole-Orbitrap HRAM System HCD I  Quad-(C-Trap)-Orbitrap platform  HCD cell enables MS/MS  Predictive automatic gain control (pAGC) and parallel filling & detection  Improved targeted MSMS duty cycle by spectrum multiplexing J.-P. Hauschild; U. Froehlich; O. Lange; A. Makarov; E. Damoc; S. Kanngiesser; F. Czemper; C. Crone; Y. Xuan;  High mass resolution M. Kellmann; A. Wieghaus. „Performance Investigation of an Orbitrap Mass Analyzer Combined with a Quadrupole measurements (up to 240K Mass Filter”, Proc. 59th Conf. Amer. Soc. Mass Spectrom., Denver June 5-9, 2011. FWHM) leads to sub-ppm mass accuracy 9

Mass Resolution : The Most Direct Approach to Deal with Complexity Protonated AFB1: C 17 H 13 O 6 ; m/z = 313.071215 70K FWHM 140K FWHM 10

Unparallel Discriminating Power : Midazolam Mystery 11

2014: Recent HRMS Comparison Study by US FDA 12

Critical Parameter #1: Mass Accuracy Within 5 ppm Detection of 48 compounds (antibiotics, toxins, pesticides, drugs etc) in various food matrices. Within 30 ppm 13

Critical Parameter #2: Isotopic Abundance/Pattern 14

Superior HRAM Attributes in Complex Matrix Analysis 15

Impeccable Mass Stability at High Mass Accuracy 16

Animal Feed Matrix Challenge: Orbitrap vs TOF MS 17

Quantitative Comparative Study: Orbitrap MS vs QqQ 18

Quantitative Comparative Study: Orbitrap MS vs QqQ 19

Quantitative Comparative Study: Orbitrap MS vs QqQ 20

2015: Quadrupole-Orbitrap MS Quantifies like a QqQ 21

Assessment of False Negative Detection by QqQ and Q-Orbi 22

HRAM Quantitative Comparative Study by FERA (UK) This material was presented by Dr Stuart Adams (FERA) 23

HRAM Quantitative Comparative Study by FERA (UK) This material was presented by Dr Stuart Adams (FERA) 24

HRAM Quantitative Comparative Study by FERA (UK) This material was presented by Dr Stuart Adams (FERA) 25

HRAM Quantitative Comparative Study by FERA (UK) This material was presented by Dr Stuart Adams (FERA) 26

HRAM Quantitative Comparative Study by FERA (UK) This material was presented by Dr Stuart Adams (FERA) 27

HRAM Quantitative Comparative Study by FERA (UK) This material was presented by Dr Stuart Adams (FERA) 28

Targeted and “Unknown” Screening in TraceFinder Tools: Fragment ion matching Full MS / Discovery dd-MS 2 MS/MS library matching Full MS / AIF/DIA Isotope pattern Retention Time Exact mass (MEW) Screening View Unknown Screening View 29

Screening View-Oxacillon in Cattle Muscle Extract 30

Unknown Views 31

Compound Discoverer 2.0 – Flexible Small Molecule Processing Compound Discoverer • Customizable • Easy • Flexible • Powerful 32

Deeper Dive: Unknown Tools in Compound Discoverer Simple Workflow Creation • Unknown peak detection • Cross sample grouping and comparison • Automatic background determination 33

Known Parent – Automatic Metabolite List Generation • Combinatorial Approach • Calculate as may transformations as possible • Built-in “Phase I” and “Phase II” Transformations • Completely customizable lists • Biologically Relevant Dealkylation Prediction 34

Library Searching for Unknowns – mzCloud™ 35

A Diverse Library mzCloud™ • Extensive MS/MS and MS n data • Highly curated • Annotated with formulas and structures • New compounds every day 36

Compound Identification via HRAM Analysis Elemental Composition (Accurate m/z) Database match (ChemSpider) Fragmentation Spectral Match (mzCloud) Retention Time vs Standard (Libraries) 37

Thank You! The world leader in serving science Acknowledgment: Dipankar Ghosh Charles Young Ed George Khalil Divan Thomas Moerhing 38