Application of HRLCMS in screening methods for pesticides
- Slides: 46
Application of HR-LC-MS in screening methods for pesticides in cereals Anne Kruse Lykkeberg, Mette Erecius Poulsen Almeria, 12 June 2014
Disposition Analysis at the instrument Standard mixtures Validation plan Validation Virtual computers – for data treatment Sample preparation of cereals – Qu. ECh. ERS National Food Institute, Technical University of Denmark
LC-QTOF instruments National Food Institute, Technical University of Denmark
Disposition Analysis at the instrument Standard mixtures Validation plan Validation Virtual computers – for data treatment Sample preparation of cereals – Qu. ECh. ERS National Food Institute, Technical University of Denmark
PCD – CSV file National Food Institute, Technical University of Denmark
QTOF-analysis – MS scan • Used to determine retention time No selection No collision National Food Institute, Technical University of Denmark
PCDL - library National Food Institute, Technical University of Denmark
PCDL – library - spectra National Food Institute, Technical University of Denmark
QTOF-analysis – Targeted MS/MS • Obtaining compound spectra for Library • Spectra of daughter ions from the single ion isolated in the quadropole Selection of single mass Collision 10, 20 and 40 V National Food Institute, Technical University of Denmark
QTOF-analysis – All ion MS • MS scan with collision energy • Screening samples • Spectra of daughter ions of all compounds eluting on a certain time point No selection Collision 10, 20 and 40 V National Food Institute, Technical University of Denmark
Chromatogram - TIC National Food Institute, Technical University of Denmark
Spectra – MSscan incl. collision Ofurace, [M+H]+ 0 V 10 V 20 V 40 V National Food Institute, Technical University of Denmark
Disposition Analysis at the instrument Standard mixtures Validation plan Validation Virtual computers – for data treatment Sample preparation of cereals – Qu. ECh. ERS National Food Institute, Technical University of Denmark
Standard mixtures Mixtures 50 -100 pesticides Isomers Avoiding isomers in the mixtures Validation 2 -6 mixtures together National Food Institute, Technical University of Denmark
Spectra of isomers in Agilents library Prometon Terbumeton Secbumeton National Food Institute, Technical University of Denmark
Disposition Analysis at the instrument Standard mixtures Validation plan Validation Virtual computers – for data treatment Sample preparation of cereals – Qu. ECh. ERS National Food Institute, Technical University of Denmark
Validation • My alternative validation plan • 20 -25 samples – spiked at 0. 1 mg/kg • 10 -20 blank samples Rice Oat Barley Wheat Rye Spiked – 0. 1 mg/kg 5 5 5 National Food Institute, Technical University of Denmark Blank 5 5 5
Dilution of spiked samples Rye 0. 1 mg/kg Blank 0. 10 mg/kg 1000 µl - 0. 02 mg/kg 200 µl 800 µl 0. 01 mg/kg 100 µl 900 µl Blank 1000 µl - Spiked rye is diluted with Blank rye … Matrix is the same Recovery is assumed to be the same at the different concentration levels National Food Institute, Technical University of Denmark
Disposition Analysis at the instrument Standard mixtures Validation plan Validation Virtual computers – for data treatment Sample preparation of cereals – Qu. ECh. ERS National Food Institute, Technical University of Denmark
Compound list – exported to Excel National Food Institute, Technical University of Denmark
All file gathered in one Excel-file National Food Institute, Technical University of Denmark
Area of all samples spiked at 10 ppb National Food Institute, Technical University of Denmark
Comparison of areas in spiked samples with blank National Food Institute, Technical University of Denmark
Disposition Analysis at the instrument Standard mixtures Validation plan Validation Virtual computers – for data treatment Sample preparation of cereals – Qu. ECh. ERS National Food Institute, Technical University of Denmark
Virtual computers for data-analysis Challenges • The Agilent software demands Windows Professional 64 bit – english version • Back up of all laboratory computer on LAB-domain • Laboratory domain, with no access from personal computers Solution • Virtual computers from Citrix – On the Laboratory domain – Windows Professional 64 bit – Access to all data – back up early in the morning – Few licenses are necessary – Access from all computers with internet National Food Institute, Technical University of Denmark
Disposition Analysis at the instrument Standard mixtures Validation plan Validation Virtual computers – for data treatment Sample preparation of cereals – Qu. ECh. ERS National Food Institute, Technical University of Denmark
FVII cocktail IV – project • Aim is to develop a cereal-method to analyze many analytes in one method. • Analytes: – Pesticides (The pesticides most present in cereal – in practice the standard mixtures which we use for our quantitative methods). – Mycotoxins: Most important mycotoxins in cereals. National Food Institute, Technical University of Denmark
Method development - Qu. ECh. ERS Extraction • Water • Acetonitrile Phase separation • Magnesium sulphate • Na. Cl, Citrate buffer Freeze out step • 1 h at -80 ºC • Centrifugation PSA clean up • PSA • Magnesium sulphate National Food Institute, Technical University of Denmark
Positive mode Extraction 1600 1400 1200 m/z 1000 800 Pos blank 1 600 400 200 0 0 2 4 6 8 10 12 Retention time National Food Institute, Technical University of Denmark 14 16 18 20
Positive mode Phase separation 1600 1400 1200 m/z 1000 800 Pos blank 1 Pos blank 2 600 400 200 0 0 2 4 6 8 10 12 Retention time National Food Institute, Technical University of Denmark 14 16 18 20
Positive mode Freeze out step 1600 1400 1200 m/z 1000 Pos blank 1 800 Pos blank 2 600 Pos blank 3 400 200 0 0 2 4 6 8 10 12 Retention time National Food Institute, Technical University of Denmark 14 16 18 20
Positive mode PSA clean up 1600 1400 1200 m/z 1000 Pos blank 1 800 Pos blank 2 Pos blank 3 600 Pos blank 4 400 200 0 0 2 4 6 8 10 12 Retention time National Food Institute, Technical University of Denmark 14 16 18 20
Positive mode Analytes 1600 1400 1200 m/z 1000 Pos blank 1 Pos blank 2 800 Pos blank 3 Pos blank 4 600 Mycotoxins Pesticides 400 200 0 0 2 4 6 8 10 12 Retention time National Food Institute, Technical University of Denmark 14 16 18 20
Negative mode Extraction 800 700 600 m/z 500 400 Neg blank 1 300 200 100 0 0 2 4 6 8 10 Retention time National Food Institute, Technical University of Denmark 12 14 16 18
Negative mode Phase separation 800 700 600 m/z 500 400 Neg blank 1 Neg blank 2 300 200 100 0 0 2 4 6 8 10 Retention time National Food Institute, Technical University of Denmark 12 14 16 18
Negative mode Freeze out step 800 700 600 m/z 500 Neg blank 1 400 Neg blank 2 300 Neg blank 3 200 100 0 0 2 4 6 8 10 Retention time National Food Institute, Technical University of Denmark 12 14 16 18
Negative mode PSA clean up 800 700 600 m/z 500 Neg blank 1 400 Neg blank 2 Neg blank 3 300 Neg blank 4 200 100 0 0 2 4 6 8 10 Retention time National Food Institute, Technical University of Denmark 12 14 16 18
Negative mode Analytes 800 700 600 m/z 500 Neg blank 1 Neg blank 2 400 Neg blank 3 Neg blank 4 300 Mycotoxins Pesticides 200 100 0 0 2 4 6 8 10 Retention time National Food Institute, Technical University of Denmark 12 14 16 18
TIC af blank i positiv mode National Food Institute, Technical University of Denmark
TIC af blank i positiv mode National Food Institute, Technical University of Denmark
TIC af blank i negativ mode National Food Institute, Technical University of Denmark
TIC af blank i negativ mode National Food Institute, Technical University of Denmark
Matrix effect & recovery – Mycophenol acid • 6. 63 min • Mass: 320. 1260 Recovery Matrix effect PSA 7 106 Freeze out 114 153 Phase separation 105 149 Extraction 123 159 National Food Institute, Technical University of Denmark
Matrix effect & recovery – Fumonisin B 2 • 5. 07 min • Mass: 705. 3936 Recovery Matrix effect PSA 6 111 Freeze out 36 151 Phase separation 73 166 Extraction 76 153 National Food Institute, Technical University of Denmark
Matrix effect & recovery – Roquefortin C • 5. 15 min • Mass: 389. 1852 Recovery Matrix effect PSA 92 75 Freeze out 92 41 Phase separation 101 38 Extraction 153 31 National Food Institute, Technical University of Denmark
Matrix effect & recovery – Clothianidin • 4. 46 min • Mass: 249. 0087 Recovery Matrix effect PSA 89 83 Freeze out 95 61 Phase separation 76 57 Extraction 153 32 National Food Institute, Technical University of Denmark
- Hrlcms
- Phytochemical screening methods
- Idea screening techniques
- Payback period formula
- Safe handling of pesticides
- Inorganic pesticides pros and cons
- Integrated pest management ____ than pesticides
- Different types of pesticides
- Biopesticides definition
- Pesticides classification
- Spider mites weed
- Example of pesticides
- Maine board of pesticides control
- Agriscience unit 14 completion answers
- Biopesticides examples
- Soybean aphid pesticides
- Types of pesticides
- Mediterranean diet pesticides
- Fabrication of wax pattern
- Tillitsbaserad ledning
- Vem räknas som jude
- Nyckelkompetenser för livslångt lärande
- Sju för caesar
- Modell för handledningsprocess
- Varför kallas perioden 1918-1939 för mellankrigstiden
- Matematisk modellering eksempel
- Verktyg för automatisering av utbetalningar
- Texter för hinduer tantra
- Cks
- Skivepiteldysplasi
- Kyssande vind analys
- Strategi för svensk viltförvaltning
- Anatomi organ reproduksi
- Stig kerman
- Ledningssystem för verksamhetsinformation
- Typiska drag för en novell
- Formula varians
- Tack för att ni har lyssnat
- Läkarutlåtande för livränta
- Klassificeringsstruktur för kommunala verksamheter
- Inköpsprocessen steg för steg
- Påbyggnader för flakfordon
- Tack för att ni lyssnade
- En lathund för arbete med kontinuitetshantering
- Egg för emanuel
- Tack för att ni har lyssnat
- Rutin för avvikelsehantering