GPC/SEC with Mass Spectrometry Detection: A Winning Team? Peter Kilz, PSS GmbH, 55023 Mainz, Germany [email protected] 1. Matching up Two Worlds 2. How To: Hyphenating GPC/SEC with MS 3. GPC-MS: Insight Into Polymer Reactions 4. Summary International Symposium GPC/SEC & Related techniques, Amsterdam, September 28, 2016 Acknowledgement Norbert Hirschberger, PSS Polymer Standards Service GmbH Prof. Christopher Barner-Kowollik Queensland University of Technology, Australia Dr. Till Gründling BASF SE, Germany International Symposium GPC/SEC & Related techniques, Amsterdam, September 28, 2016 Matching up Two Worlds Macromolecules all: high molar mass most: solid vs. Mass Spectrometry gas phase separation of ionized species in high vacuum not a simple start … International Symposium GPC/SEC & Related techniques, Amsterdam, September 28, 2016 Page 3 Matching up Two Worlds GPC/SEC Systems vs. Mass Spectrometers not simple either … International Symposium GPC/SEC & Related techniques, Amsterdam, September 28, 2016 Page 4 Matching up Two Worlds GPC/SEC Advantages and Limitations of Mass Spectrometry + standard technique + applicable to all macromolecules + can separate mixtures + non-specific detection o separates by size - low resolution - unspecific (in general) - difficult to detect traces - co-eluting species + software for specific data treatment - limited by high price - exotic with polymers - difficult spectra of mixtures - risk of ion suppression + direct molar mass measurement + high resolution + high specificity/identification + high sensitivity (very low LOD) + independent separation in MS - no specific software for polymers Good balance of pros/cons hyphenation has potential International Symposium GPC/SEC & Related techniques, Amsterdam, September 28, 2016 Page 5 How To Hyphenate fractions from GPC/SEC separation MS MS control + requires powerful PC, creates large data sets Major Problem: - generate gas phase species from charged solid analytes International Symposium GPC/SEC & Related techniques, Amsterdam, September 28, 2016 Page 6 How To Hyphenate MS Instrument: - controlled by instrument specific software - MS spectra saved in MS software - MS data file used by PSS WinGPC Split flow RI-MS (~90/10) Add salt for soft ionization LC/GPC instrument: - controlled by PSS WinGPC - concentration detector data for quantitative results - MS data merged to WinGPC database 7 International Symposium GPC/SEC & Related techniques, Amsterdam, September 28, 2016 How To Hyphenate 45 40 ? ? 30 25 ? ? 20 15 PSS WinGPC Unity, Build 3523, LAB-SW1, Instance #1 RI Signal [mV] 35 10 5 5.0 7.5 10.0 12.5 15.0 17.5 20.0 22.5 25.0 27.5 30.0 Elution volume [ml] column visco LS RI MS Mw Rg, g structure c - Mn endgroup, repeat units, by-products, etc., … Information content: Primary: Secondary: [η] M, g‘ structure Understanding local polydispersity: measure Mw (LS) / Mn (MS) International Symposium GPC/SEC & Related techniques, Amsterdam, September 28, 2016 Information Content GPC-MS combines benefits of both GPC (separation) and MS (information content) Qualitative information Quantitative information (Status quo ante) (Current state-of-the-art) Chemical structure of the macromolecules Molar mass distribution & averages (repeating units, functional endgroups, backbone structure) Concentration of individual macromolecular species in mixtures Band-broadening correction • Obtained from MS detector alone • Molecular formula from hires MS (FT/ICR or Orbitrap) • Increased information content from MS/MS • Multiple charging allows M < 50.000 Da to be analyzed • Obtained from concentration detector with internal calibration by MS Requires sophisticated data treatment Convolution of EIC’s to fit RI mass International Symposium GPC/SEC & Related techniques, Amsterdam, September 28, 2016 Information Content WinGPC supports users with MS relevant information: - charge-state correction - isotope correction - spectral deconvolution - reconstitution of concentration signal Data analysis results: - chain length - endgroup mass - repeat unit masses - unassigned species - absolute M and MWD International Symposium GPC/SEC & Related techniques, Amsterdam, September 28, 2016 Page 10 Information Content O 1200 GPC: - endgroups co-elute MS: - can separate/identify - reveals sample mixture0 1250 1300 1350 1400 1450 SEC-calibration, relative abundance of oligomers 1500 1564.92 1575.50 1375.42 1364.83 Br n Binary mixture of two functional polymers 1314.75 1325.25 OMe 1275.25 O 18 retention time /min 1550 20 22 24 monomer units, functional endgroups, backbone structure 1600 1664.92 1675.58 16 1615.00 1625.58 14 1514.75 1525.50 12 1464.83 1475.50 10 H n Mass Spectrum MeO RI signal OMe 1425.42 H ? 1414.75 O ? Total mass concentration of polymer fraction Investigtion of binary polymer blend 1650 1700 m/z Retention time, tR Peak dispersion, σ, τ Area, A 2 4 6 8 10 12 14 retention time /min International Symposium GPC/SEC & Related techniques, Amsterdam, September 28, 2016 16 18 20 22 1750 1800 Single Oligomer Profiles (SOP) = Extracted Ion Chromatogram Verification of Data Processing Comparison with NIST SRM2881: • Absolute molecular weight polystyrene standard • MWD determined solely by MALDI (internal mass bias correction) + Ag Bu Excellent H n agreement SRM data with GPC-ESI-MS results Perfect MWD overlay corroborates accuracy of methodologies Independent verification of WinGPC MS data treatment (implementation) International Symposium GPC/SEC & Related techniques, Amsterdam, September 28, 2016 Verification of Data Processing MS generated calibration 3 VG /cm3 7.5 5 4 charge 6 state GPC-MS with MaxEnt corrects for peak broadening – Only slight effects due to good column resolution – Important for oligomer analysis 7.0 0.03 6.5 Results based on Manufacturer 75 125 175 repeat unit (n) repeat unit (DP) DPw 102.00 NMR (bulk) DPn 99.00 PDI 0.02 w(n) 6.0 25 0.01 1.03 94.5 ±1% GPCwith RI/MS (/w MaxEnt correction) 96.66 (-5%) 93.44 (-6%) 1.035 GPC with MS calibration 97.23 (-5%) 93.60 (-6%) 1.039 0.00 0 50 100 150 repeat repeatunit unit(DP) (n) 200 Gruendling et al., Anal. Chem. 2008, 80, 6915-6927. International Symposium GPC/SEC & Related techniques, Amsterdam, September 28, 2016 MS Data Analysis with WinGPC Software What Can We Learn from GPC with MS Detection Raw Data View of Unknown Automatic identification - poly(methyl acrylate) - 2 endgroups propyl (43), butyl (57) Observations: - simple charge pattern - good mass resolution - 2 main distributions same repeat units ∆m/e: 86.089 amu PSS - WatersSymposium International Meeting, July GPC/SEC 2013 & Related techniques, Amsterdam, www.pss-polymer.com September 28, 2016 Page 14 MS Data Analysis with WinGPC Software What Can We Learn from GPC with MS Detection Raw Data View of PMA Automatic assignment by WinGPC software: - charge state - chain length - endgroup masses - repeat unit masses Polymeric structure BUT also - many non-assigned irregular chains PSS - WatersSymposium International Meeting, July GPC/SEC 2013 & Related techniques, Amsterdam, www.pss-polymer.com September 28, 2016 Page 15 MS Data Analysis with WinGPC Software Analysis of Poly(methyl acrylate) by GPC-MS Molar Mass Overview of Species by MS Calibration reveals: - GPC separation of regular chains - no separation if irregular species MS reveals: - co-elution of species - sample component does not elute in SEC mode However: Still absolute M and MWD PSS - WatersSymposium International Meeting, July GPC/SEC 2013 & Related techniques, Amsterdam, www.pss-polymer.com September 28, 2016 Page 16 MS Data Analysis with WinGPC Software Analysis of Poly(methyl acrylate) by GPC-MS Sample characteristics with correct and incorrect assignment regular Mn [Da] 1614 Mw [Da] 2105 PDI 1.30 irregular 7529 7537 1.001 MWD overlay: - regular chains - irregular species non-GPC separation of irregular species Structure elucidation of by-product currently investigated PSS - WatersSymposium International Meeting, July GPC/SEC 2013 & Related techniques, Amsterdam, www.pss-polymer.com September 28, 2016 Page 17 Conclusions GPC/SEC with ESI-MS detection can be used to • determine absolute MWD without GPC standards, suitable for oligomers and polymers < 50000 g/mol • identify and quantify endgroups, cyclic molecules, byproducts, homo- and binary copolymers • investigate and optimize reaction mechanisms/products • determine low molecular weight components (REACH registration, deformulation, trace identification, etc.) PSS WinGPC UniChrom software developments allow • automated GPC-MS data processing (true MWD with chromatographic band broadening correction) • implementation of GPC-MS as a routine analysis method International Symposium GPC/SEC & Related techniques, Amsterdam, September 28, 2016 Comprehensive GPC-MS GPC-MS combines benefits of both GPC (separation) and MS (information content) Qualitative information Quantitative information Chemical structure of the macromolecules Molecular weight distribution (repeating units, functional endgroups, backbone structure) Concentration of individual functional macromolecules in mixtures Band-broadening correction • Obtained from MS-Detector alone • Molecular formula with FT/ICR or Orbitrap • Obtained from concentration detector with internal calibration by ESI-MS Requires sophisticated data treatment • Increased information content from MS/MS • Multiple charging allows M < 50.000 Da to be analyzed International Symposium GPC/SEC & Related techniques, Amsterdam, September 28, 2016 Backup Slides International Symposium GPC/SEC & Related techniques, Amsterdam, September 28, 2016 Benefits and Pitfalls of MS Advantages of Modern MS • • • • • Direct molar mass measurement with soft ionization Very high resolution Ultra high sensitivity (e.g. trace compounds, 2D detection) High specificity Identification and structure elucidation (by fragmentation) Potential Problems Selective ionization & degradation in ion source • Broad distributions cause problems in detector • Operation of MS instrument requires “MS expert” (“auto-tune”) • Interpretation of data; multiple charges in ESI (“better software”) • Quantitative results require in-depth data treatment … cost of MS instrumentation • DSP Meeting, Eindhoven, April 2012 Page 21 Implementation into WinGPC Software Automatic charge state assignment just requires knowledge of (co)monomer molar masses Data analysis results: - charge state - chain length - endgroup mass - repeat unit masses - irregular chains - absolute M and MWD PSS - WatersSymposium International Meeting, July GPC/SEC 2013 & Related techniques, Amsterdam, www.pss-polymer.com September 28, 2016 Page 22 Absolute Copolymer MWD Determination PEO/PPO block copolymer („pluronics“) Na+ - Automated copolymer analysis requires comonomer Mr - Cross-autocorrelation of residuals O O n O H m Accurate determination of copolymer molar masses Autometic generation of calibration curves for different species Automatic assignment of charge states PSS - WatersSymposium International Meeting, July GPC/SEC 2013 & Related techniques, Amsterdam, www.pss-polymer.com September 28, 2016 Page 23 Detection Techniques I = KD × ∑ (k Sample × cSample × M x ) i concentration detector: light scattering detector: viscometer: mass spectrometer: X=0 X=1 X = MH-α X = -1 apparent concentration scattering intensity specific viscosity total ion count, spectra → c(V) → M(V), Rg(V) → [η](V) → M(V), structure 6.0 I LS (V) 5.5 5.0 4.5 I osm (V) Voltage [V] 4.0 3.5 I visco (V) 3.0 2.5 2.0 PSS WinGPC scientific 1.5 1.0 I conc (V) 0.5 0.0 13 14 15 16 17 18 19 20 Elution Volume [ml] 24 International PSS - WatersSymposium Meeting, July GPC/SEC 2013 & Related techniques, Amsterdam, www.pss-polymer.com September 28, 2016 Experimental Setup GPC-ESI-MS Plumbing Details Lab View PSS - WatersSymposium International Meeting, July GPC/SEC 2013 & Related techniques, Amsterdam, www.pss-polymer.com September 28, 2016 Page 25 Ternary Mixture - Reconstruction of the molecular weight distributions of a ternary mixture is possible - Overall good agreement between molar mass averages and PDI 2.0:2.0:2.0 g∙L-1 original reconstructed DPw DPn PDI ∫ DPw DPn PDI ∫ pMMA(H-H) manufacturer 46.6 50.0 41.5 45.4 1.12 1.09 195 45.8 (-2%) 41.6 (0%) 1.10 200 (+3%) pMMA(BriB) 52.6 47.4 1.11 195 49.8 (-5%) 45.2 (-5%) 1.10 185 (-5%) pMMA(CPDB) 25.5 15.6 1.64 215 27.4 17.0 (+7%) (+8%) 1.61 220 (+2%) Gruendling, T.; Barner-Kowollik C.; Guilhaus, M. Macromolecules 2009, 42, 6366-6374. Gruendling, T.; Barner-Kowollik C.; Guilhaus, M. Anal. Chem. 2008, 80, 6915-6927. PSS - WatersSymposium Meeting, July 2013 & Related techniques, Amsterdam, www.pss-polymer.com International GPC/SEC September 28, 2016 Page 26
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