california wine lc/ms analysis with sieve 2
TRANSCRIPT
California Wine LC/MS Analysis
with SIEVE 2.0
Michael Athanas, Ph.D.
VAST SCIENTIFIC / BRIMS
Mark Dreyer, Ph.D.
ThermoFisher Scientific
B R I M SBiomarker Research Initiative in Mass Spectrometry
Mary LopezDirector
David Sarracino
Manager, Biomarker Workflows
Bryan KrastinsLeader
Biomarker Translational Center
Amol Prakash
Assoc. Director
Informatics Center of Excellence
Michael Athanas
Assoc. Director
Informatics Center of Excellence
Jennifer SuttonInformatics Center of Excellence
Project Manager
brims.center
LC/MS AnalysesMethod Challenge
Screening Requires reproducible
identification by MS or
MS/MS
Discovery Requires existing MS
and MSN databases
Exploration Requires component
detection
Absolute Quantitation Requires calibration
methods
2008 Wildfires and Wine
• Over 2790 individual wild fires
• Weather conditions:
– 3 years of below normal rainfall
– Lightning
• Poor air quality
13 Data Samples
# Blend Location
1 zinfandel Lake
10 petite sirah Lake
13 zinfandel Lake
36 cabernet sauvignon Mendocino
37 petite sirah Mendocino
2 cabernet franc Napa
3 cabernet franc Napa
20 petite verdot Napa
21 cabernet franc Sonoma
25 cabernet sauvignon Sonoma
33 merlot Sonoma
35 merlot Sonoma
44 cabernet sauvignon Sonoma
http://g.co/maps/nwjfSmall and diverse samples
Sample Processing
13 samples
direct LC
injection
LC/MS using Thermo Q-Exactive
Open Accela 1250
Triplicate measurements interspersed by single matrix blank measurements
Data analysis with SIEVE 2.0
Statistically rigorous automated label-free LC/MS differential analysis platform
Applied to: peptide, protein, small molecule data
State 1
Raw file
State 2
raw file
State …
raw file
Workflow
Align
Detect
Identify
Reports:
•Components
•Identification
•Relative Quantitation
•Statistical Analysis
•Trend information
SIEVE Analysis Platform
1. Full scan spectra
are typically
acquired at 1Hz to
100Hz with high
mass accuracy
(<5ppm).
Data File 1
Reference
Data File 2
SIEVE Workflow – Alignment 1
Intensity
Intensity
M/Z
M/Z
SIEVE Workflow – Alignment 2
Intensity
Intensity
M/Z
M/Z
1. Full scan spectra
are typically
acquired at 1Hz to
20Hz with high
mass accuracy
(<5ppm).
2. The spectra are
binned.
Data File 1
Reference
Data File 2
X
SIEVE Workflow – Alignment 3
1. Full scan spectra
are typically
acquired at 1Hz to
20Hz with high
mass accuracy
(<5ppm).
2. The spectra are
binned.
3. A dot product
correlation is
calculated between
each pair of spectra
Data File 1
Reference
Data File 2
Scan
# d
ata
file
2
Scan # data file 1
SIEVE Workflow – Alignment 4
Scan-to-scan
correlation:
Red High
Green Low
•An overlapping tile is constructed
from the next region starting from
the middle of the optimal path.
SIEVE Workflow – Alignment 5
•An overlapping tile is constructed
from the next region starting from
the middle of the optimal path.
•The full plane is tiled and a final
alignment score is calculated.
Overlapping
measurements
are averaged
SIEVE Workflow – Alignment 6
Adducts, fragments and multimers
[M+H]+ [M+Na]+ [M+K]+
524.3703, z=1, I=4.2E+08, 100% 546.3517, z=1, I=1.0E+08, 24.6% 562.3232, z=1, I=1.1E+06, 0.3%
A+1
Isotopic peaks
525.3730, I=1.2E+08, 28.9%
527.3784, I=3.0E+06, 0.7%
528.3811, I=3.9E+05, 0.1%
A+2 526.3756, I=2.3E+07, 5.5%
A+3
A+4
547.3535, I=2.9E+07, 27.8%
548.3577, I=5.6E+06, 5.4%
549.3595, I=9.0E+05, 0.9%
A+1
A+2
A+3
Isotopic peaks
21.9816
37.9554
Component Detection
Constituents are represented by base component
Frame / Feature
Frame: a well defined rectangular region in the M/Z versus Retention Time plane.
L-Epicatechin
MW = 290.0790
L-Epicatechin
L-Epicatechin
MW = 290.0790
# Blend Location
1 zinfandel Lake
10 petite sirah Lake
13 zinfandel Lake
36 cabernet sauvignon Mendocino
37 petite sirah Mendocino
2 cabernet franc Napa
3 cabernet franc Napa
20 petite verdot Napa
21 cabernet franc Sonoma
25 cabernet sauvignon Sonoma
33 merlot Sonoma
35 merlot Sonoma
44 cabernet sauvignon Sonoma
Accurate Mass Identification
Mass accuracy
2.9 ppm
using 445.12
background ion
www.vastsci.com/rawmeat
Local
database
chemspider
web service
Component MW
List of
candidates
Identification Results
• 1224
components
• 255 identified components
• Flavonoid
accurate mass database
MolWt Expression Name
290.079 L-Epicatechin
306.074 Epigallocatechin
314.01 D-glycoside of vanillin
380.1254 Vellokaempferol 3-5-dimethyl ether
382.1047 Velloquercetin 4 -methyl ether
426.0945 Epigallocatechin 3-O-(4-hydroxybenzoate)
436.1153 Epigallocatechin 3-O-cinnamate
450.0793 Quercetin 4 -galactoside
468.1051 Epigallocatechin 3-O-caffeate
472.1 Epigallocatechin 3-O-(3-O-methylgallate)
477.1266 Isorhamnetin 7-alpha-D-Glucosamine;Quercetin 3 -methyl ether 7-alpha-D-Glucosamine;7-[(2-Amino-2-deoxy-alpha-D-glucopyranosyl)oxy]-3-5-dihydroxy-2-(4-hydroxy-3-methoxyphenyl)-4H-1-benzopyran-4-one
478.0742 Quercetin 7-glucuronide
486.1157 Epigallocatechin 3-O-(3-5-di-O-methylgallate)
494.0691 Myricetin 3-glucuronide
504.1626 6-Hydroxykaempferol 3-5-7-4 -tetramethyl ether 6-rhamnoside;6-[(6-Deoxy-alpha-L-mannopyranosyl)oxy]-3-5-7-trimethoxy-2-(4-methoxyphenyl)-4H-1-benzopyran-4-one
516.1262 Kaempferol 3-(3 -4 -diacetylrhamnoside)
552.1474 6-Hydroxymyricetin 3-6-3 -5 -tetramethyl ether 7-glucoside
562.2045 Caohuoside D;8-(3 -Hydroxy-3 -methylbutyl)kaempferol 4 -methyl ether 7-glucoside;7-(beta-D-Glucopyranosyloxy)-3-5-dihydroxy-8-(3-methoxy-3-methylbutyl)-2-(4-methoxyphenyl)-4H-1-benzopyran-4-one
580.1423 Quercetin 3-xylosyl-(1->2)-rhamnoside
600.111 Quercetin 3-(2 -galloylrhamnoside)
610.1317 Quercetin 3-(3 -p-coumarylglucoside)
610.1528 Rutin;3-3 -4 -5-7-Pentahydroxyflavone 3-rutinoside;3-Rutinosylquercetin;Birutan;Quercetin 3-beta-rutinoside;Quercetin 3-O-alpha-L-rhamnopyranosyl-(1->6)-beta-D-glucopyranoside
636.1474 Kaempferol 3-(4 -acetyl-6 -p-coumarylglucoside)
640.127 Quercetin 3-glucuronide-7-glucoside
640.1634 Tamarixetin 3-glucosyl-(1->2)-galactoside;Quercetin 4 -methyl ether 3-glucosyl-(1->2)-galactoside;Thesioideoside;3-[(2-O-beta-D-Glucopyranosyl-beta-D-galactopyranosyl)oxy]-5-7-dihydroxy-2-(3-hydroxy-4-methoxyphenyl)-4H-1-benzopyran-4-one
662.163 Kaempferol 3-(2 -3 -diacetyl-4 -p-coumarylrhamnoside
668.1583 Euphorbianin;Quercetin 3-(6 -acetylglucosyl)-(1->3)-galactoside;3-[[3-O-(6-O-Acetyl-beta-D-glucopyranosyl)-beta-D-galactopyranosyl]oxy]-2-(3-4-dihydroxyphenyl)-5-7-dihydroxy-4H-1-benzopyran-4-one
724.1787 Platanoside;Kaempferol 3-(2 -3 -di-(E)-p-coumaroylrhamnoside);3-[[6-Deoxy-2-3-bis-O-[(2E)-3-(4-hydroxyphenyl)-1-oxo-2-propenyl]-alpha-L-mannopyranosyl]oxy]-5-7-dihydroxy-2-(4-hydroxyphenyl)-4H-1-benzopyran-4-one
756.1685 Quercetin 3-(3 -6 -di-p-coumarylglucoside)
770.1841 Kaempferol 3-(3 -p-coumaryl-6 -ferulylglucoside)
772.1845 Quercetin 3-O-beta-(6 -O-E-p-coumaroylglucoside)-7-O-beta-glucoside
….
http://metabolomics.jp
Cluster Wine Flavonoids
Catechin 5-O-(2-feruloyl-6-p-coumaroyl-beta-D-glucopyranoside)
Cyanin
Epigallocatechin
flavonol
Flavylium
L-Epicatechin
Procyanidin
Clustering based upon signal intensity profile
Flavonoid database
Absolute Quantitation
Calibration Curve Method
Dilution series at four concentrations(.02, .04, .2,.4) mg/ml in 10%
methanol
LC/MS using Thermo Q-Exactive
Data analysis with SIEVE 2.0
Epicatechin
Catechin
Orientin
Luteolin
Ellagic Acid
Quercetagetin
Chrysin
Genistein
Rhamnetin
Tamarixetin
Standards
Contaminant Response
MolWt FORMULA NAME
209.9406 C7H5Cl3O 2,4,6-Trichloroanisole
150.0681 C9H10O2 2-Methoxy-4-vinylphenol (4-Vinylguaiacol)
168.1514 C11H20O 2-Methylisoborneol
122.0732 C8H10O 4- ethylphenol
152.0837 C9H12O2 4-ethylguaiacol
138.0681 C8H10O2 4-methylguaiacol
108.0575 C7H8O Cresol
164.0837 C10H12O2 Eugenol
96.02113 C5H4O2 Furfural
182.1671 C12H22O Geosmin
124.0524 C7H8O2 Guaiacol
286.1053 C13H18O7 ß-D-glycoside of Guaiacol
314.01 C14H18O8 ß-D-glycoside of vanillin
154.063 C8H10O3 Syringol
Possible smoke related contaminants
Contaminant Response
0.0000
0.0050
0.0100
0.0150
0.0200
0.0250
0.0300
0.0350
0.0400
0.0450
0.0500
2-Methoxy-4-vinylphenol (4-
Vinylguaiacol)
4- ethylphenol
Eugenol
Furfural
Syringol
D-glycoside of Guaiacol
D-glycoside of vanillin
Summary
• More work to be done, more representative samples
• Measuring contaminant free form may likely be insufficient (reference)
Deep appreciation for expert laboratory craftsmanship to:
Mark Dreyer Ph.D., Applications Specialist, ThermoFisher
Thomas Collins, Ph.D, Senior Manager Research and Development, Treasury Wine Estates
For more information:
http://vastscientific.com/sieve
http://vastscientific.com/rawmeat