From accurate mass to identified water pollutants - non-target screening approaches using accurate mass, statistical analysis and compound libraries

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Geosciences / Environmental Analytical Chemistry From accurate mass to identified water pollutants - non-target screening approaches using accurate mass, statistical analysis and compound libraries Christian Zwiener, Sylvain Merel Environmental Analytical Chemistry E C Environmental Analytical Chemistry

Outline Introduction Water pollutants LC/MS screening approaches Definitions Harmonization of workflows LC/MS methods and data interpretation Application examples from the river Rhine and its tributaries Conclusions and recommendations

Water pollutants Water is the prerequisite for all life Anthropogenic activities affect water quality Pharmaceuticals, Personal care products Pesticides Herbicides TPs and metabolites Source: Helmholtz Centre for Environmental Reasearch-UFZ Monitoring and measures to reduce contaminants and their transformation products are needed!

Micropollutants from WWTP effluents PPCPs enter rivers via WWTP effluents (Benzotriazoles, PFCs, Diclofenac ) polar POPs (PPOPs) Effects on aquatic ecosystems (fish: diclofenac, estrogens, neuroactive cpds.) WFD: improve ecological and chemical status - eco-friendly chemicals - Advanced WWT processes

Screening approaches Screening Target knowns Suspect screening known unknowns Nontarget screening unknowns Standards Quantitation LowRes MS HiRes MS Generic methods Suspect list of compounds HiRes MS Generic methods Data reduction Library search In-silico methods TQ-MS HiRes MS (Q-TOF, FTICR,...)

Nontarget screening Target Non-target Nontarget screening unknowns HiRes MS Generic methods Data reduction Library search In-silico methods HiRes MS (Q-TOF, FTICR,...) Science 291, 5007 (2001) 1221-1224

Non-target screening Separate and Detect Feature Finding Data Analysis Compound Identification Separate and detect Comparative or multivariate analysis Find peaks and quantitate MP or MPP Identify peaks MH Qual or ProFinder ID Browser (Q-TOF only) Agilent Technol. 2014; Zedda and Zwiener, Anal. Bioanal. Chem. 2012

Measurement Devices: Measurement mode: Full-scan Liquid chromatography 1260 Infinity System (Agilent Technologies) High-resolution mass spectrometry 6550 ifunnel Q-TOF (Agilent Technologies) Electrospray-ionization (ESI) All ions within a defined range (e.g. 100-1000 Da) are measured

Generic methods Norman Association NTS trial Schymanski et al. (28 authors): Non-target screening with high resolution mass spectrometry: Critical review using a collaborative trial on water analysis. Anal.Bioanal. Chem. (in press) Waterchemical Society (GDCh) Expert group on Non-target Screening Large volume injection (100 µl)

LC conditions Column Dim. (mm); Particle size (µm) Agilent Poreshell HPH C 18 2.1 x 150; 2.7 Solvents H 2 O/MeOH (FA pos only) Flowrate (ml/min); Time 0.3; 35 min Agilent Zorbax Eclipse Plus C 18 2.1 x 150; 3.5 H 2 O/ACN (FA) 0.3 ; 37 min Agilent Zorbax Extend C 18 2.1 x 50; 1.8 H 2 O/ACN (FA) 0.5 ; 46 min Phenomenex Kinetex C 18 3.0 x 100; 2.6 H 2 O/MeOH (FA) 0.2 ; 41 min Thermo Hypersil Gold 2.1 x 100; 3.0 H 2 O/MeOH (FA) 0.2 ; 35 min Waters Acquity UPLC BEH C 18 2.1 x 100; 1.7 H 2 O/MeOH (FA) 0.3 ; 18 min Waters Atlantis HSS T3 2.1 x 150; 3.5 H 2 O/MeOH (FA) 0.2 ; 19 min H 2 O/MeOH Waters C 18 BEH 2.1 x 100; 1.7 (NH 4 FA, ph 5) 0.45; 13 min Schymanski et al. Anal. Bioanal.Chem. 2015 (in press)

MS conditions Parameters Set points Scan range 100 to 1200 / 1700 Mass resolving power 20,000 to 50,000 / 100,000 Ionization Fragmentation Electrospray CID, HCD How much resolving power do we need? How much mass accuracy?

Screening without Preliminary information LC-HRMS Nontarget approach Molecular formulae Chemical structures Two independent physical properties of ions: - Exact mass of a monoisotopic ion - Relative isotopic abundances (RIA; M+1, M+2) Marshall A., PENAS 2008

Accurate mass measurement Accuracy: The proximity of the experimental measurement to the true value (exact mass). Precision: The repeatability of measurements reflecting random errors. Brenton & Godfrey, JASMS 2010

Accurate mass measurement Statistical error Ion statistics σ ppm = Instrument constant 106 C R S Resolution Number of ions sampled Factors for mass accuracy - Tuning of mass axis - Fine tuning - Lock mass correction - Ion statistics - Chemical background Brenton & Godfrey, JASMS 2010; Blom, Anal. Chem. 2001

Which accuracy needed? Number of possible compositions - increases exponentially with increasing mass - increases linearly with mass error - is a function of mass defect CHNO: unique formula at m/z 118 34 ppm (4 mda) m/z 750 0.018 ppm (0.013 mda) Grange et al. RCM 2002

Mass resolving power Resolving mass dubletts in complex mixtures - N2/C2H4 Dm = 25 mda R = 20 000 (m/z 500) - S/O2 Dm = 17.7 mda R = 28 000 (m/z 500) - C3/SH4 Dm = 3.4 mda R = 147 000 (m/z 500) 9.4-T FT-ICR-MS R = 400 000 isotope pattern Marshall A., PENAS 2008

MS/MS mass accuracy (6550 QTOF) Hydrochlorothiazide product ion product ion product ion product ion product ion precursor 1 2 3 4 5 295.9572 268.9463 231.9953 204.9844 126.0116 77.9655 295.9567 268.9462 231.9950 204.9841 126.0114 77.9655 4060 9902 384 9547 3134 21293 19.1 46.5 1.8 44.8 14.7 100.0-1.7 ppm -0.3 ppm -1.4 ppm -1.6 ppm -1.6 ppm -0.3 ppm PFNA Clarithromycin precursor product ion 1 product ion 2 product ion 3 462.9632 418.9734 218.9862 168.9894 N.A. 418.9722 218.9860 168.9894 not detected 2866 9890 14545 #VALUE! 19.7 68.0 100.0 #VALUE! -2.9 ppm -0.8 ppm 0.2 ppm precursor product ion 1 product ion 2 product ion 3 product ion 4 product ion 5 product ion 6 748.4842 716.4580 590.3898 558.3637 158.1176 116.1070 116.0706 748.4845N.A. 590.3893 558.3647 158.1171 116.1071 116.0708 1376 0 3537 998 11982 1845 1962 11.5 0.0 29.5 8.3 100.0 15.4 16.4 0.4 ppm #VALUE! -0.8 ppm 1.8 ppm -2.8 ppm 0.9 ppm 1.7 ppm

Sampling sites Small river in Southwest Germany Anthropogenically influenced mass fluxes WWTP 80,000 PE AMMER Source Upstream WW TP downstream Sport

Measurement SPE 250 ml 0.5 ml, ENV+ (ASPEC, Gilson) HPLC Agilent 1290 Infinity UHPLC System Zorbax Eclipse Plus C-18 column (160 x 2.1 mm, 1.8 µm) Gradient: linear, water (0.1% formic acid) - methanol MS Agilent 6550A ifunnel Q-TOF-MS 2 GHz extended-dynamic mode (20,000 @ m/z 650; < 1 ppm) Mass range 100-1600 Da Software Agilent Mass Hunter Qual B.06 Forensics and toxicology library (> 7000 entries; Agilent) Pesticide database (1600 entries; Agilent)

Suspect screening Suspect screening known unknowns Basepeak chromatograms downstream of WWTP HiRes MS Generic methods Suspect list of compounds 50 water pollutants upstream of WWTP Compound list created in a worksheet Sum form. RT Mass Name C10H11N3O3S 5.617 253.0521 Sulfamethoxazole C16H25NO2 5.666 263.1885 Tramadol C9H7Cl2N5 5.748 255.0079 Lamotrigine C15H25NO3 5.982 267.1834 Metoprolol C11H12N2O 6.126 188.095 Phenazone or import in database manager

Find by Formula Search (suspect list) Formula Source: 50 WP data base (10 ppm match) 35 hits based on accurate mass and isotope pattern Extracted ion chromatograms Bisoprolol: score 83, Dmass 1.34 ppm Isotope pattern for C18H31NO4 Bisoprolol

Find by Formula Search (suspect list) Tris-(-2-chloroethyl) phosphate (TCEP): score 99, Dmass -1.98 ppm EIC Isotope pattern for C6H12Cl3O4P Tris-(-2-chloroethyl) phosphate

Input by WWTP? Considerable increase of Bisoprolol and TCEP due to input into the river from WTP effluents Blank TCEP down up up Bisoprolol downstream of WWTP Blank

Identification and confirmation Schymanski et al. Anal. Bioanal. Chem. 2015 (in press)

Compound confirmation Pure standards (mass, retention time) Mass fragmentation (accurate mass) - Targeted MS/MS run for a list of compounds (retention time, precursor mass, CE) - Comparison with library spectra (Agilent ForensicsTox library) Acquired spectrum at CE 23.6 V Library spectrum at CE 20 V Bisoprolol

Nontarget screening Nontarget screening unknowns Accurate mass measurement Automated peak detection (MFE) Statistical data analysis Molecular formula generation Identification MS-MS fragmentation MS/MS database or library Chemical database and in-silico fragmentation

Data evaluation - deconvolution Scan 15.04 15.15 min EIC m/z 237.1016 Molecular feature spectrum

Data evaluation - deconvolution Peak deconvolution or picking Peaks in EI chromatograms - Thresholds - Ranges - Chromatographic parameters EI chromatograms of 25 compounds

Peak finding (MFE) Mass RT (min) 113.121 5.97 114.047 4.52 114.066 5.43 114.116 0.79 114.116 0.78 115.063 0.51 115.063 0.64 116.031 0.81 116.985 0.56 117.042 5.6 117.079 0.19 Export data Compound exchange format (cef) Data evaluation Mass Profiler or Mass Profiler Professional Peak alignment Number of ions > 2 Filtering frequency, n-fold change Blank

Internal standards Diclofenac-d 4 in ESI Pos (m/z 300.04907) Diclofenac_d4 100 injections Zoom in

S23 Rhine sampling S25 S24 S22 S21 S20 S19 S18 Rhine sampling campaign 08/2014 A. Fath, FH Schwenningen Grab samples Sample 001 S17 S16 S15 S14 Filtration 100µL injection LC-ESI-QTOF measurement (3 replicates) S12 S13 MFE export to Mass Profiler Professional S11 S10 S5 S9 S8 S7 S6 S4 S1 S2 S3

MPP Data filtering 3738 compounds aligned (pos) Filter by flag: only compounds in at least 2 replicates 3003 Abundance > 5000 counts 2694 In at least 2 samples 2122 Up-regulated in Rhine vs. Blank 1453 Unique to Rhine 1308

1453 features Heatmap of selected features Sample No. 1 25

Boxplot of selected features

PCA plot S1 S4 S2 S3 S5S9 S8 S6 S16 S24 S23 S25 S21 S19 S17 S22 S20S18 S15

Lamotrigine in Rhine samples S1 S3 S4 S5 S8 S14 S16 S19 S20 S24

Log2 (Normalized Abundance) Similar behavior Similar entities 255.0077 @ 6.8 min (Lamotrigine, anticonvulsant) Euclidean distance 0.9 <= r <= 1.0 10 compounds Lake Constance Lahne confl. Wesel confl. Sample No. 1 25

Similar behavior Features at: 171.1259 @ 4.1min; 258.077 @ 9.6 min

Identification Export for identification Library search (Agilent Forensics Tox) Accurate mass and isotope pattern Fragmentation match Gabapentin, anticonvulsant, analgesic

Carbamazepine Identification

Conclusions QTOF screening approaches enable to characterize surface water quality detect relevant pollutants retrieve relevant metabolites (all ions) requires - statistical approaches to reduce data - library data AMRT for ID Sample 001