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©2015 Waters Corporation 1
ACQUITY QDa Detector:
Accessible Mass Detection for
Food Testing
©2015 Waters Corporation 2
Food Industry Challenges
Raw Material / Ingredient Quality
– Quality needs to be as consistent as possible
– Safe
– Discrepancies may need troubleshooting / further investigation
Final Product
– Safe
– Reformulation (low salt / sugar / functional ingredients…) can
sometimes cause analytical challenges
o New compounds need to be added to a method
• May lead to chromatographic / detector issues
Confidence in Testing
– High demand for simple, repeatable, reliable testing techniques
in easy and complex food samples
– Need confidence in:
• Instrument used
• Results produced
Raw Materials
In-process production
Final Product
©2015 Waters Corporation 3
Accessible & Usable
Improve Productivity
Factors influencing Technology Adoption?
Increase Capability
Fit for Purpose
©2015 Waters Corporation 4
Accessible & Usable
Factors influencing Technology Adoption?
Fit for Purpose
Improve Productivity
Increase Capability
©2015 Waters Corporation 5
QDa
PDA
ACQUITY H-Class and QDa With Empower 3 Software
Simply power on and its ready to go
– Push button, fast warm up, run samples – it just works
Zero user set-up optimisation, calibration or adjustments
– No sample-specific or user adjustments typical of traditional MS
Finished? Just power off
Small, modular footprint
“If you can use a PDA,
you can use a QDa”
H-ClassSystem
©2015 Waters Corporation 6
Accessible & Usable
Improve Productivity
Factors influencing Technology Adoption?
Increase Capability
Fit for Purpose
©2015 Waters Corporation 7
ACQUITY UPLC H-ClassAnalytical benefits compared to HPLC
Enhanced analytical performance
– Greater resolution, throughput & sensitivity
– Increase lab productivity
Improve peak resolution
– Less co-eluting peaks
– More accurate integration -> better RSDs
Document no. of injections on each column
– ACQUITY UPLC Columns have eCords
UltraPerformance LC (UPLC)
©2015 Waters Corporation 8
ACQUITY UPLC H-Class
Quaternary solvent manager (QSM)
— One pump, one proportioning valve
— Continuous blending of 4 solvents
Sample manager (SM-FTN)
— “Flow-through-needle” design
— One single injection mode
Column ovens (CH-A)
— Active pre-heating
— Reduced volume to minimise extra
column band-spreading
Compatible with all ACQUITY detectors
©2015 Waters Corporation 9
ACQUITY UPLCFruit Juice Analysis
65 mins injection-to-injection;22 samples per day
©2015 Waters Corporation 10
ACQUITY UPLCFruit Juice Analysis
Reduced run-time whilst still maintaining good resolution
15 mins injection-to-injection;96 samples per day
©2015 Waters Corporation 11
Food PreservativesHPLC conditions
0.125mg/L
15min
0.00045AU
©2015 Waters Corporation 12
Food Preservatives UPLC conditions
3min
0.0045AU
10X↑
5X↑
0.125mg/L
©2015 Waters Corporation 13
Advantages of using ACQUITY QDa Detector
Compatible with Alliance & ACQUITY
Increase sample throughput
Highly Selective
High Sensitivity
Supports method development
©2015 Waters Corporation 15
Why Mass Detection with the ACQUITY QDa Detector?
Detector concept
Adjustment-free & pre-optimized
Automated calibration
Familiar software
Easy to set up - can be up and running within a very short space
of time run the samples
Ease of use and maintenance, especially for new users
The push-button simplicity is proven to remove the obstacles to
introducing MS data into chromatography labs
Ease of qualitative & quantitative data interpretation
Better accuracy, better reproducibility, faster
turnaround for our clients
©2015 Waters Corporation 16
Independent Recognition ACQUITY QDa Detector
World of Laboratory winner for innovation
2014
PittCon Editors’ Silver Award for Most Innovative Product
The Analytical Scientist Innovation Awards (TASIA) 2013
©2015 Waters Corporation 17
Nutritional Composition
Polyphenolics for Food Quality
©2015 Waters Corporation 18
Application Overview
Traditional Assay Characteristics include
Long run-times:
– Throughput limitation: problematic
Complex ingredient profile:
– Separation & resolution; difficult
ACQUITY UPLC H-Class & ACQUITY QDa Detector
Provides increased selectivity for compounds
of interest
– No need to get chromatographic separation
Significantly improves analytical throughput
©2015 Waters Corporation 19
Beverage analysisPolyphenolics
p-Coumaric acid
Molecular formula = C9H8O3
Molecular mass =164
Analysed [M-H]- = 163
©2015 Waters Corporation 20
What are SIRs?Selected Ion Recording
More selective and sensitive way of looking at the data on the
QDa (rather than using full scan)
Full scan mode, e.g. 100-800 m/z
– (similar to using the setting of 190-800 nm on a eλ PDA detector)
SIR mode, e.g. 417 m/z (m/z = mass-to-charge ratio)
– (much more selective than using e.g. 320 nm on a UV detector:
generally related to compound mass)
169195
417153 123….
417
m/z100 120 140 160 180 200 220 240 260 280 300 320 340 360 380 400 420 440 460
%
0
100255
439
417
256
m/z100 120 140 160 180 200 220 240 260 280 300 320 340 360 380 400 420 440 460
%
0
100255
439
417
256
©2015 Waters Corporation 21
Polyphenols UV v. QDa SIR
Time3.00 3.50 4.00 4.50 5.00 5.50
AU
0.0
1.0e-2
2.0e-2
3.0e-2
Pepsico_Sep 16_050 (1) PDA Ch3 [email protected]: 4e-2
Time3.00 3.50 4.00 4.50 5.00 5.50
%
-10
90
Pepsico_Sep 16_050 7: SIR of 1 Channel ES+ 595.3 (Didymin)
1.56e7
A
B
C
DE
F G H
A B
C
D
E
F G
H
UV (325nm)
QDa SIR
Polyphenol m/z
A Narirutin 581.2
B Diosmin 609.2
C Hesperidin 611.2
D Didymin 595.3
E Sinensetin 373.1
F Nobiletin 403.2
G Tetramethoxyscutellarein 343.1
H Tangeretin 373.1
©2015 Waters Corporation 22
Polyphenols UV v. QDa SIR
Time3.00 3.50 4.00 4.50 5.00 5.50
%
-10
90
Pepsico_Sep 16_050 7: SIR of 1 Channel ES+ 595.3 (Didymin)
1.56e7
AB
C
D
E
F G
HQDa SIR
Polyphenol m/z
F Nobiletin 403.2
G Tetramethoxyscutellarein 343.1
©2015 Waters Corporation 23
Analysis of flavonoids in citrus juice (n=10)
AnalyteRT
(min)%
AccuracyRepeatability
(% RSD)
Narirutin 2.73 86 3
Diosmin 2.81 139 8
Hesperidin 2.87 82 3
Didymin 3.39 94 4
Sinensetin 4.36 103 4
Nobiletin 4.68 110 3
Tetramethoxyscutellarein 4.71 100 3
Tangeretin 5.02 112 3
©2015 Waters Corporation 24
Nutritional Composition
Non-Nutritive Sweeteners in Food & Beverages
©2015 Waters Corporation 25
Variety of sweeteners are used
in sugar- free products
– Traditionally detected by multiple
optical detectors (including ELSD
and fluorescence)
Sweeteners in food & beverages
Rebaudioside A (RebA)
Acesulfame K
Saccharin
Cyclamate
Sucralose
Stevioside
Neotame
©2015 Waters Corporation 26
Sweeteners in food & beverages
Saccharin
Ace K
Aspartame
Neotame
AU
QDaSIRs
PDA Data
©2015 Waters Corporation 27
Sweeteners in food & beveragesA
U
Cyclamate
UV transparent
Sucralose
UV transparent
QDaSIRs
PDA Data
©2015 Waters Corporation 28
Sweeteners in food & beverages
Stevioside
Reb A
Co-elution
AU
QDaSIRs
PDA Data
©2015 Waters Corporation 29
Sweeteners in food & beverages
Saccharin
Ace K
Aspartame
Neotame
Stevioside
Reb A
Co-elution
AU
Cyclamate
UV transparent
Sucralose
UV transparent
QDaSIRs
PDA Data
©2015 Waters Corporation 30
SucraloseUV transparent
MS SucraloseSIR transition
UV 214nm
Sweetened with Sucralose
Sample preparation • 1.0g mixed with 10 mL H2O• Sonicated, shaken, centrifuged• Inject supernatant
Quantitation of sweetenersin Diet Marmalade
©2015 Waters Corporation 32
Acesulfame K
Conc ≡ 53 mg/L in tea
Sucralose
Conc ≡ 108 mg/L in tea
Permitted level = 350 mg/L
Permitted level = 400 mg/L
Diet tea sweetened with acesulfame K and sucralose− Sample preparation: dilution of tea in water
Quantitation of sweeteners
©2015 Waters Corporation 33
Regulated mycotoxins
12 regulated mycotoxins in processed maize and corn
Collaboration with Veronica Lattanzio ISPA CNR, Bari, Italy
©2015 Waters Corporation 34
1.NIV
2.DON
3.AFG2
4.AFG1
5.AFB2
6.AFB1
8. FB1
9. T-2
10. OTA
11. ZEA
12. FB2
MycotoxinSpiked
concentration(μg kg-1)
S:N
NIV 750 1,188
DON 750 20,955
AFG2 1 5,149
AFG1 1 18,272
AFB2 1 1,967
AFB1 2 12,766
HT2 50 430
FB1 800 2,682
T-2 50 64,641
OTA 3 993
ZEA 100 6,682
FB2 200 1,967
7. HT-2
EU Permitted Limits: in WheatSIR Chromatograms
©2015 Waters Corporation 35
Example linearity in processed corn
Compound name: AFB1
Correlation coefficient: r = 0.998746, r^2 = 0.997494
Calibration curve: 764.675 * x + 22.6578
Response type: External Std, Area
Curve type: Linear, Origin: Exclude, Weighting: 1/x, Axis trans: None
3-0.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0
Re
sp
on
se
-0
5000
10000
3
Re
sid
ua
l
-5.0
0.0
Compound name: AFG1
Correlation coefficient: r = 0.999043, r^2 = 0.998087
Calibration curve: 398.47 * x + -57.5865
Response type: External Std, Area
Curve type: Linear, Origin: Exclude, Weighting: 1/x, Axis trans: None
Conc-0.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00
Re
sp
on
se
-0
1000
2000
Conc
Re
sid
ua
l
-5.0
0.0
5.0
Compound name: T2 + NH4
Correlation coefficient: r = 0.998341, r^2 = 0.996685
Calibration curve: 374.918 * x + 2861.71
Response type: External Std, Area
Curve type: Linear, Origin: Exclude, Weighting: 1/x, Axis trans: None
Conc-0 25 50 75 100 125 150 175 200 225 250 275 300 325 350 375
Re
sp
on
se
-0
50000
100000
Conc
Re
sid
ua
l
-0.00
5.00
Compound name: DON
Correlation coefficient: r = 0.998656, r^2 = 0.997313
Calibration curve: 41.7541 * x + 11070.9
Response type: External Std, Area
Curve type: Linear, Origin: Exclude, Weighting: 1/x, Axis trans: None
Conc-0 500 1000 1500 2000 2500 3000 3500 4000 4500 5000 5500
Re
sp
on
se
-0
100000
200000
Conc
Re
sid
ua
l
-2.50
0.00
2.50
©2015 Waters Corporation 36
©2015 Waters Corporation 37
Multiple User Interfaces
Everyone in the lab - scientists, lab managers, system
administrators - experienced and/or new users - can easily
learn and use Empower Software to run samples, acquire and
process data, generate results from any computer using an
interface to fit their type of work.
Respond to Diverse Needs
©2015 Waters Corporation 39
Automated Calculations
©2015 Waters Corporation 40
Example Custom FieldsSuitability Acceptance
©2015 Waters Corporation 41
Find Data easily with View Filters
©2015 Waters Corporation 42
Empower 3 Network AnalyticsSystem Analysis
©2015 Waters Corporation 43
Summary
System solution is designed to be fit for
purpose
– Automated steps throughout the process from set-up
to data storage
Improve Productivity and Lab Capacity
– Able to reduce run-times:
– Ultraperformance chromatography (UPLC)
– ACQUITY QDa selectivity
– Easy to search data within Empower
Increase Confidence in analytical results
– Reduces chromatographic interferences
– Chromatographic interpretation is simplified
©2015 Waters Corporation 44
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