rapid detection of pesticides in fruit juice without sample preparation - waters corporation food...
TRANSCRIPT
©2015 Waters Corporation 1
Rapid Detection of Pesticides in Fruit Juice
using tandem quadrupole LC/MS/MS without
the need for Sample Preparation
©2015 Waters Corporation 2
Presentation Overview
Overview of pesticide residue analysis
Experimental
– System Solution
Results
– Multi-Residue Story
o Sample preparation comparison
• Both scenarios working well…
• One method is better than the other…
o Robustness and repeatability data
Conclusion
©2015 Waters Corporation 3
Food Contaminant Testing What are the challenges?
Changing Legislation
Demanding Performance
Multitude of Food Types
Variety of Compounds
©2015 Waters Corporation 4
Ultra Trace Analysis An Analogy
Whole product Representative sample Ultra trace detail
©2015 Waters Corporation 5
Ultra trace analysis What are the challenges?
Challenging matrix/analyte combinations
Low LOQs
• Low target levels
Amount of sample
• Mass/volume possible to extract
Matrix effects
• Complex matrices
Reproducibility
• Trace levels can affect statistics
©2015 Waters Corporation 6
What impact does this have on the laboratory?
Demand for Flexible methods
– Many analytes
– Many matrices
– Simple set-up / modification
Method performance
– High sensitivity
– Quantitative accuracy
Data management
– Automated processing
– Reporting
– Archive and back-up
©2015 Waters Corporation 7
Pesticide Residue Analysis
Recent trend for pesticide residue analysis is to run multi-analyte methods
Many labs now running QuEChERS (or variations of…)
Experimental Questions
– Is it possible to use dilute-and-shoot for pesticide residue analysis?
– How does QuEChERS compare with dilute-and-shoot?
– Are we able to reduce to sample prep time even further for the detection of pesticides in food and beverage products?
– Can we meet the regulatory detection limits required?
– Can we produce repeatable data with a dilute-and-shoot approach for pesticide residues in fruit juices?
©2015 Waters Corporation 8
• Automatically sets up instrument,
• Optimises MRMs and performs system suitability
Setup & Optimize Complete Analytical System
• Generates optimised methods, time scheduled MRMs
Generate / Select Methods to Run
• Methods generated automatically by QuanPedia,
• Clear flagging when data is out of regulatory tolerance
• Reduced risk of errors
Review Data & Prepare Reports
• Real time QC, Intelligent ‘on the fly’ decision making
Check QC & Calibration Standards
• Long term system monitoring, Lab management tool
Track System & Method Performance / Trends
QUAN Workflow
©2015 Waters Corporation 9
Experimental Information
Multi-Residue Method
©2015 Waters Corporation 10
Pesticide Residues Targeted Screening Workflow
©2015 Waters Corporation 11
Sample Preparation Two methods employed
Measure out 10 mL of fruit juice (spiked at 10ng/mL)+ 15mL of 1%
acetic acid in Acetonitrile into DisQuE tube 1
Centrifuge and transfer 1 mL of the extract into DisQuE tube 2
Centrifuge Dilute 10 times with water
(~ 15x dilution)
Dilute
and
Shoot
Measure out 10 mL of fruit juice (spiked at 10ng/mL)
Dilute 10 and 100 times with water
Filter and Inject
©2015 Waters Corporation 12
UPLC system ACQUITY UPLC System
Column: ACQUITY UPLC BEH C18 2.1 x 100 mm, 1.7 m
Column temp 40 C
Mobile phase A Water + 0.1% Formic acid
Mobile phase B Methanol + 0.1% Formic acid
Flow Rate 0.45 mL/min
Inject. volume 10 L
Gradient
ACQUITY UPLC & Xevo TQ-S Conditions
Min % A %B
0.00 95 5
0.25 95 5
7.75 0 100
8.50 0 100
8.51 95 5
10.00 95 5
©2015 Waters Corporation 13
ACQUITY UPLC & Xevo TQ-S Conditions
MS System XEVO TQ-S
Ionization mode ESI Positive
Capillary voltage 3.0 kV
Cone voltage 30.0 V
Source temp 150 C
Desolvation temp 500 C
Desolvation gas 1000 L/hr
Cone gas 50 L/hr
Routine targeted quantification
with information rich qualitative data
Specifically designed for sensitivity AND robustness
©2015 Waters Corporation 14
• Automatically sets up instrument,
• Optimises MRMs and performs system suitability
IntelliStart
• Generates optimised methods, time scheduled MRMs
Quanpedia
• Methods generated automatically by QuanPedia,
• Clear flagging when data is out of regulatory tolerance
• Reduced risk of errors
TargetLynx
• Real time QC, Intelligent ‘on the fly’ decision making
QCMonitor
• Long term system monitoring, Lab management tool
TrendPlot
Waters QUAN Workflow
©2015 Waters Corporation 15
Quanpedia
A central data base for
quantitative LC/MS methods
Based on compound name
A tool to aid MS method creation
– Automatically creates data
acquisition methods
– Automatically creates data
processing methods
©2015 Waters Corporation 16
Quanpedia
Quanpedia – manage compounds and methods
©2015 Waters Corporation 17
Quanpedia
©2015 Waters Corporation 18
Quanpedia improves data quality
Manual MS method
1 MRM per compound
6.6 % RSD
8 data points
across peak
Quanpedia MS method
1 MRM per compound
2.4 % RSD
12 data points
across peak
Quinoxyfen @ 1ppb
Manual average = 23 % RSD
Quanpedia average = 8.6 % RSD
80 pesticides spiked,
acquired using 402 compound MS method
©2015 Waters Corporation 19
90 Multi-Analytes Screened
Acaricide Monocrotophos Herbicide Atraton Herbicide Aziprotryne
Acaricide/Insecticide Methamidophos Herbicide Prometryn Herbicide Propaquizafop
Acaricide/Insecticide Dimethoate Herbicide MCPA Herbicide Isoproturon
Acaricide/Insecticide Dichlorvos Herbicide Isoxaben Herbicide Terbuthylazine
Acaricide/Insecticide Methiocarb Herbicide Asulam Herbicide Tebutam
Acaricide/Insecticide Parathion Herbicide Dimethachlor Herbicide Thidiazuron
Acaricide/Insecticide EPN Herbicide Picloram Herbicide Diuron
acaricides/insecticides Phosmet Herbicide Isocarbamide Herbicide Siduron
Breakdown product 2,6-Dichlorbenzamid Herbicide Tebuthiuron Herbicide Hexazinone
Fungicide Oxadixyl Herbicide Diphenamid Herbicide Propanil
Fungicide Hexaconazole Herbicide Quizalofop-ethyl Herbicide Clodinafop-propargyl
Fungicide Carbendazim Herbicide Cyanazine Herbicide Dimethenamid
Fungicide Difenoconazole Herbicide Prometon herbicides Haloxyfop
Fungicide Pyracarbolid Herbicide Naptalam herbicides Propisochlor
Fungicide Propiconazole Herbicide Napropamide herbicides Butachlor
Fungicide Thiabendazole Herbicide Rimsulfuron herbicides 2,4-DB
Fungicide Flutriafol Herbicide Propyzamide herbicides MCPB
Fungicide Imazalil Herbicide Atrazine Insecticide Cyromazine
Fungicide Boscalid Herbicide Terbutryn Insecticide Dicrotophos
Fungicide Fenamidone Herbicide Desmetryn Insecticide Thiodicarb
Fungicide Tebuconazole Herbicide Ametryn Insecticide Fenpropathrin
Fungicide Benomyl Herbicide Simazine Insecticide Methomyl
Fungicide Azoxystrobin Herbicide Metazachlor Insecticide Acephate
Fungicide/Herbicide Ethoxyquin Herbicide Alachlor Insecticide Imidacloprid
Fungicide Tridemorph Herbicide Mecoprop Insecticide Trichlorfon
Fungicide Octhilinone (2-Octyl-4-isothiazoline-3-one) Herbicide Propachlor Insecticide Phoxim
Insecticide Phorate Insecticide Propoxur insecticides Tetramethrin
Insecticide Pymetrozine Insecticide Diflubenzuron insecticides Fenitrothion
Insecticide Pirimicarb Insecticide Buprofezin insecticides Allethrin
Insecticide Diazinon Insecticide Deltamethrin insecticides Rotenone
Insecticide Carbofuran Insecticide/Acaricide Azinphos-methyl Metabolite Aldicarb sulfone
Insecticide Parathion-methyl Insecticide/Acaricide Aldicarb Metabolite Atrazine-desethyl
Insecticide Carbaryl Insecticide/Nematicide Oxamyl Metabolite Aldicarb sulfoxide
Insecticide Fenthion Insecticide/Nematicide Phosphamidon Metabolite Atrazine-desisopropyl
Insecticide Acetamiprid Insecticide/Nematicide Dichlofenthion Metabolite Carbofuran-3-hydroxy
Insecticide Sulfotep Insecticide Phenothrin
©2015 Waters Corporation 20
Results and Discussion
©2015 Waters Corporation 21
Developing a Suitable Method
Analysis of food samples can be challenging – need to
develop a sample preparation that can:
o Reduce matrix effects (e.g. peak distortion, ion
suppression…)
o Extract relevant compounds
o Provide a robust, repeatable method
Method development to investigate different
extraction techniques can be time intensive
Useful to have tools that support this process and help
improve lab efficiency
LC-MS/MS Analysis
Modify analytical method
LC-MS/MS Analysis
Modify sample
preparation
©2015 Waters Corporation 22
Spiked Orange Juice without RADAR
©2015 Waters Corporation 23
On of the ways to determine sample prep efficiency…
What is RADAR?
– Rapid electronics allow instrument to switch between MRM & full scan
– Added information can be gained from full scan data in routine analyses
• Intelligent decision making
• Improves method development
• Monitor matrix components
• Detect un-targeted adulterants
How do I set it up on the instrument?
- Parallel MRM with full scan data acquisition
©2015 Waters Corporation 24
Apple juice Grape juice Orange juice
Q Q
Q
100X 100X 100X
10X 10X
10X
Juice Samples – Matrix Contribution QuEChERS versus Dilute-and-Shoot
©2015 Waters Corporation 25
Sample prep comparison When both options work…
0.7 ng/mL
1 ng/mL
0.1 ng/mL
Atraton @ 10 ng/mL
10x 10x
100X 100X 100X
10x
Quechers Quechers Quechers
©2015 Waters Corporation 26
Sample prep comparison When both options work…
0.7 ng/mL
1 ng/mL
0.1 ng/mL
Atraton @ 10 ng/mL
10x 10x
100X 100X 100X
10x
Quechers Quechers Quechers
©2015 Waters Corporation 27
Sample prep comparison When QuEChERS works…
Rotenone @ 10 ng/mL
©2015 Waters Corporation 28
Sample prep comparison When Dilute & Shoot Doesn’t work…
Rotenone @ 10 ng/mL
Sample Diluted 10x
©2015 Waters Corporation 29
Q - diluted Q - diluted Q - diluted
Sample prep comparison When Dilute-and-Shoot works…
Q
10X
Q
10X
Q
10X
Poor peak shape Shift in RT
©2015 Waters Corporation 30
• Automatically sets up instrument,
• Optimises MRMs and performs system suitability
IntelliStart
• Generates optimised methods, time scheduled MRMs
Quanpedia
• Methods generated automatically by QuanPedia,
• Clear flagging when data is out of regulatory tolerance
• Reduced risk of errors
TargetLynx
• Real time QC, Intelligent ‘on the fly’ decision making
QCMonitor
• Long term system monitoring, Lab management tool
TrendPlot
Waters QUAN Workflow
©2015 Waters Corporation 31
TargetLynx Reporting Designed for food safety customers
©2015 Waters Corporation 32
Linearity and Repeatability
Compound name: Atraton
Correlation coefficient: r = 0.997944, r^2 = 0.995892
Calibration curve: 22116.2 * x + 949.701
Response type: External Std, Area
Curve type: Linear, Origin: Exclude, Weighting: 1/x, Axis trans: None
ng/mL0 10 20 30 40 50 60 70 80 90 100
Re
sp
on
se
0
500000
1000000
1500000
©2015 Waters Corporation 33
Dilute-and-Shoot Calibration Curve
Compound name: Atraton
Correlation coefficient: r = 0.998102, r̂ 2 = 0.996207
Calibration curve: 0.0161973 * x + 0.00307921
Response type: Internal Std ( Ref 16 ), Area * ( IS Conc. / IS Area )
Curve type: Linear, Origin: Exclude, Weighting: 1/x, Axis trans: None
ng/mL0 20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 320
Resp
onse
0.00
1.00
2.00
3.00
4.00
5.00
©2015 Waters Corporation 34
• Automatically sets up instrument,
• Optimises MRMs and performs system suitability
IntelliStart
• Generates optimised methods, time scheduled MRMs
Quanpedia
• Methods generated automatically by QuanPedia,
• Clear flagging when data is out of regulatory tolerance
• Reduced risk of errors
TargetLynx
• Real time QC, Intelligent ‘on the fly’ decision making
QCMonitor
• Long term system monitoring, Lab management tool
TrendPlot
Waters QUAN Workflow
©2015 Waters Corporation 35
Compound Repeatability & Robustness Dilute-and-Shoot Approach
©2015 Waters Corporation 36
Pressure Repeatability Dilute-and-Shoot Approach
1st injection
100th injection
155th injection
©2015 Waters Corporation 37
Conclusions
Variety of different fruit juice samples have been analysed
Direct comparison of QuEChERS and dilute-and-shoot for pesticide
residue screening
Analysis was performed using a targeted multi-analyte screening
solution:
o Setting up the method – IntelliStart, Quanpedia
o Sample preparation- DisQUE and ‘dilute-and-shoot’
o Reliable chromatography - ACQUITY UPLC & ACQUITY BEH C18 columns
o Robust and Repeatable results - Xevo TQ-S
o Matrix monitoring tools - RADAR
o Review of quantitative data –TargetLynx, TrendPlot