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FOR INTERNAL USE ONLY State of the art of size- and interaction based separations for industrial polymers Harry Philipsen, Tiny Frijns International Symposium on GPC/ SEC and related techniques Amsterdam, September 27, 2016

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Page 1: State of the art of size- and interaction based …...and LS provides a wealth of information from one single analysis: o ‘Rough’ molar mass distributions (DV/ LS). o Information

FOR INTERNAL USE ONLY

State of the art of size- and

interaction based separations for industrial polymers

Harry Philipsen, Tiny Frijns

International Symposium on GPC/ SEC and related techniques

Amsterdam, September 27, 2016

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Outline: the industrial perspective in analytical polymer separations

Introduction DSM, DSM-Resolve.

Some of our recent progresses and faced challenges in polymer separations:

o How to improve precision and how accurate can

we get in industrial practice?

o Short-chain and long-chain branching in practice.

o Extremely high molar masses in SEC.

o Current status of APC.

o Current relevance of 2D-LC for polymers?

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Chemical synthesis & biotechnology

Energy, chemistry & polymer technology

Biotechnology

Hoffman La Roche’s Vitamins (1930s)

DSM (1902)

Gist-Brocades (1869)

Vitamins Omega’s

Carotenoids Premixes for food & feed

Enzymes Minerals

Cultures & Yeasts Nutraceuticals

Pharmaceuticals Cellulosic bioethanol Biomedical materials

Bio-plastics High Performance Plastics

Coating Resins Functional Materials

Solar – advanced surfaces

Life Sciences

Materials Sciences DSM 1902

DSM: Building on an impressive history

Presenter
Presentation Notes
The changes in business portfolio also led to changes in the basic technological competences that DSM has access to. During the course of its transformations DSM was able to acquire and develop additional skills which has made it into the high tech Life Sciences and Materials Sciences company that it is today. The broad range of competences that are now available inside the company, provide DSM with an excellent basis for creating the innovative solutions that the world needs today. Verhaallijn: Historie DSM: van Kolen naar materials and nutrition (van 40.000 in L naar ..) Resolve: van corp R&D naar service, ook voor derden, naar Center of Excellence. Voor: Materials en Chemicals – in de brede zin van het woord. En die komen ook voor in: food, farma, biomedisch Voor: DSM: de businesses én de science. Maar ook: voor de xterne wereld. En via ons de connect naar de Uni-wereld (deeltijd profs, veel samenw. Proj.). De reden is dus: kritische massa, competences op goed niveua houden. Embedded in een research omgeving: open Campus (en daarbuiten). Hoe doen we dat: via onze competenties: b.v. morfologie (kijk naar de uitgebreide tooling) – INTEGRAAL!! Integraal, op hoog niveau: dat is onze differntiator. En die zetten we in om het volgende, essentiële te doen voor Materials and Chemicals: de 5 gebieden. Hoe doen we dat: ASQ: we kijken integraal, met onze seniors naar nieuwe problemen. Klanten uitgenodigd.
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Annual revenues ca. 20M EUR, +50% third parties.

~ 80 scientists (40% PhD, 60% Bachelor).

ISO 9001-2008 certified, fit for ISO 9001-2015.

IP Security - Quote by well recognized external audit team: ‘Intellectual Property’ security above standard.

100% DSM.

DSM Resolve – Facts & Figures

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DSM Resolve - Unique analytical capabilities Integrate micro- & spectroscopy to probe the distribution & organization of polymers in (Bio) materials.

Molecular Imaging

Materials & Chemical processing

Catalyst characterization

Macromolecular characterization

Small molecules profiling

Create profound understanding in design & upscaling by integrating off-in- or on-line monitoring strategies with chemo-metrics.

Correlate morphology of Catalysts materials to performance, fouling & reaction kinetics.

Relate details in molecular microstructures of poly-disperse (bio)polymers to materials properties.

Employ state-of-the-art hyphenated separation technologies to characterize complex mixtures.

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Developments in Polymer Analysis @ DSM

o Corporate program on (Bio)Macro-molecular Analysis: o Chemical heterogeneity. o Very high molar masses. o 3D structures. o Quantification aspects. o Screening of additives. o Enhanced extractions, sample prep.

o Analytical technologies involved: o GPEC, 2DLC (off-line, on-line). o AF4. o DOSY-NMR, HR NMR. o HR-MS, IMS-MS, MALDI.

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SEC in industrial applications - 2016

o Gap between academic research and industrial practice on polymer separations.

o SEC: one of the most used techniques for polymer characterization in industry.

o Considered as simple, but still many pitfalls.

o Real life accuracy and precision often cumbersome – how come?

Presenter
Presentation Notes
DCR: AF4 with SEC for particles plus polymer DBC: AF4-ICP for metals in proteins
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SEC; accuracy and/ or precision?

o Often: precision more important than accuracy: o Trends. o Quality control. o Polymer users.

o Accuracy: o Polymer manufacturers: modelling,

understanding. o Polymer users do not want to be to

far “off”. o Improved accuracy plus information

density by DV and LS detection – but at cost of precision.

Presenter
Presentation Notes
DCR: AF4 with SEC for particles plus polymer DBC: AF4-ICP for metals in proteins
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2. Column stability

o Mechanical and chemical. o Polymer versus silica.

o Eluent type, e.g. THF worse than HFIP.

4. Sample and standards

o Standards batch to batch variations or different manufacturers.

o Sample: molar mass level, concentration (depends on MM),

dn/dc.

8

Precision in modern SEC

1. Flow stability

o For conventional and universal calibration. Use flow marker. o Not (much less) for 3SEC.

3. Detector stability

o RI is known ‘unstable’, especially in e.g. HFIP and high temperatures.

Precision is worst for universal calibration Better for conventional calibration (only one detector, no

accurate weighing) Also better for Light Scattering/ 3SEC (no calibration).

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1. 3SEC in THF (PS, Mw = 200 kDa)

Within one run (n = 10, RSD, 1σ) Mn: 5% - Mw: 2% - Mz: 3% - [η]: 1%.

2. 3SEC in HFIP (PA, Mw 60 kDa)

Short term (5 weeks, n = 26, RSD, 1σ) Mn: 3% - Mw: 3% - Mz: 3%

Long term (2 years, RSD, 1σ)

Mn: 10% - Mw: 10% - Mz: 10%

3. HT-SEC – DV (NBS1475A, Mw = 56 kDa)

Short term (1 run, n = 10, 2σ) Mn: 10% - Mw: 8% - Mz: 11% - [η]: 4%.

Long term (2 years, n = 220, 2σ)

Mn: 15% - Mw: 10% - Mz: 13% - [η]: 6%

4. HT-SEC – LS (NBS1475A, Mw = 56 kDa)

Long term (2 years, n = 220, 2σ) Mn: 12% - Mw: 2% - Mz: 10%

9

Some precision numbers from our lab

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Base line issues affecting precision

Improvement of baseline stability on transferring high temperature SEC (solvent: TCB, T: 160 C) from RI to IR detection (broad band filter)

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SPC sample (NBS1475A, linear PE) PolymerChar Infrared detection

Viscotec Refractive Index detection

Mn Mw Mz Mw/Mn Mz/Mw IVw

Average 15.3 55.2 166.4 3.61 3.01 1.03

SD 0.82 1.91 7.92 0.13 0.14 0.03

RSD (%) 5% 3% 5% 4% 5% 3%

Mn Mw Mz Mw/Mn Mz/Mw IVw

Average 14.0 56.3 182.3 4.03 3.24 1.02

SD 0.51 1.80 6.81 0.12 0.07 0.02

RSD (%) 4% 3% 4% 3% 2% 2%

Improved precision via more stable detection IR versus RI detection in HT-SEC

o Improvement of precision.

o Some systematic differences in Mn and Mz – which can (and must!) be explained.

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Correlation study IR versus RI detection for PE

Mn Mw

Mz IVw

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Example: multi detector approach with less emphasis on accuracy

o Polymer users perspective:

o Precision more important than accuracy. o Characterization and comparison of ‘unknown’ products and formulations.

o Multi detector approach: SEC coupled to PDA-UV/VIS, RI, DV

and LS provides a wealth of information from one single analysis: o ‘Rough’ molar mass distributions (DV/ LS). o Information on branching/ conformational differences (DV). o Rough impression of chemical composition (PDA-UV). o Presence of gels (DV) and particles (LS). o Information on blending (PDA-UV, RI).

Presenter
Presentation Notes
DCR: AF4 with SEC for particles plus polymer DBC: AF4-ICP for metals in proteins
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Comparison of UV and RI: no blend of chemically different compounds.

UV-DAD: o No significant impurities, I.e. no

blend of chemically different compounds.

o Except one peak eluting before total exclusion area.

Example: multi detector approach..

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5. Study of competitors products by multi detector SEC

From UV-DAD: o Classification polymer type:

polyester (1, 2). o Detection and classification of

dye (3). o Indication of gel particles (4).

Example: multi detector approach..

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5. Study of competitors products by multi detector SEC

3SEC (RI-DV-LS): o Molar mass averages. o Information on branching

indicates highly branched structures.

o LS indicates gel particles.

Example: multi detector approach..

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o Real accuracy way more difficult to achieve than ‘good’ precision.

o Most important error sources:

o Concentration: o Moisture, solvents, additives. o Exceeding overlap concentration.

o dn/dc (copolymers, polyelectrolytes). o Enthalpic effects (non-ideal SEC). o Pore mismatch. o Shear and/ or slalom effects. o Calibration and alignment of the detectors

(‘peak parameters’). o Data-analysis: integration, side products. o Scattering angle (LALS, RALS, MALS).

Accuracy in modern SEC

Presenter
Presentation Notes
DCR: AF4 with SEC for particles plus polymer DBC: AF4-ICP for metals in proteins
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Revisiting calibration of SEC in HFIP

o Our case: o slightly wrong dn/dc ratio

of PMMA to Nylon. o Mw value of PMMA standard

appeared not correct.

o New broad PMMA standards (NIST), correct dn/dc (ratio): correct values for Nylons calculated via universal calibration.

o Work still in progress..

Coinciding universal calibration curves for (broad) Nylons and (narrow) PMMA’s

Presenter
Presentation Notes
DCR: AF4 with SEC for particles plus polymer DBC: AF4-ICP for metals in proteins
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Accuracy: pore mismatch Obvious example: (wrong) combination of 104 and 100 Å column

More resolution in the low molar mass region leads to distortion of peak shape, also effecting accurate MMD.

Presenter
Presentation Notes
DCR: AF4 with SEC for particles plus polymer DBC: AF4-ICP for metals in proteins
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Accuracy: pore mismatch Less obvious example: linear PFG columns (1000 + 100 Å)

Non-perfect linearity, only observed from accurate ‘universal’ calibration curves deduced from 3SEC or DV/RI

with many points.

Pore mismatch: still often overlooked

but affects accuracy! Use good quality, linear

columns!

Presenter
Presentation Notes
DCR: AF4 with SEC for particles plus polymer DBC: AF4-ICP for metals in proteins
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o Concentration, signal to noise.

o Concentration signal is a function of molar mass up to M ≈ 2000.

o Dealing with different detectors.

o Which components to include?

> Influences Mn due to invisibility of lowest molar mass parts.

> Effect on accuracy Mn.

> Comparing Mn from universal calibration and Goldwasser method (only using viscosity signal and total sample amount). Experience: use DV signal for determining integration end.

> Depending on the polymerization model. E.g.: for polycondensations (low molar mass) cyclics not included in (most) models!

21

Accuracy: end of integration, Mn issue

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Accuracy: practice compared to theory – Flory plots

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log M Red: calculated MMD. Blue: Flory fit for a linear polyamide.

Purple: residuals, end of integration determined by DV = 0 Blue: residuals, end of integration determined by RI = 0 (PLUS correcting for mass (peak area) taken into account).

Green: residuals, end of integration determined by RI = 0 (NOT correcting for mass (peak area) taken into account).

High quality SEC: excellent agreement (Flory) theory

and SEC practice!

Presenter
Presentation Notes
DCR: AF4 with SEC for particles plus polymer DBC: AF4-ICP for metals in proteins
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Quantitative branching information still challenging.

o Spectroscopy provides averages and

often lacks sensitivity or resolution.

o Rheology relies on models.

o IMS-MS still in its infancy.

o SEC relatively strong for both LCB and SCB, quantification needs attention.

SEC for branching information

Presenter
Presentation Notes
DCR: AF4 with SEC for particles plus polymer DBC: AF4-ICP for metals in proteins
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HT-SEC coupled to IR detection for SCB quantification in polyolefins o Quantification of SCB: via ratio of the CH3 and CH2 band signals. o Calibration with standards with known amounts of CH3/1000 C. o CH3/CH2 ratio plotted as function of CH3/1000 C. o Correction for CH3 end groups.

Recent progress on SCB quantification

IR5 detector (PolymerChar)

Presenter
Presentation Notes
DCR: AF4 with SEC for particles plus polymer DBC: AF4-ICP for metals in proteins
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o For non-C3 branches up to 60 CH3/1000C one (linear) calibration line applicable, (+/-2.7 CH3/1000C), irrespective of co-monomer type.

o Calibration lines up to 100 wt% co-monomer (C3 and C4) show quadratic relation. (C3; +/- 9 CH3/1000C (valid 50 – 335 CH3/1000C).

SCB quantification via SEC-IR

Calibration curves for C3 and C4-C6

Results from: Frijns-Bruls, T., Ortin, A., Weusten, J., Geladé, E., Macromolecular Symposia, 356, 87 – 94, 2015

Presenter
Presentation Notes
DCR: AF4 with SEC for particles plus polymer DBC: AF4-ICP for metals in proteins
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o Calibration from copolymers or

from blends leads to identical results. Ease of calibration!

o Bandwidth of the detector filters critically determine shape of calibration curve.

o Simulated calibrations excellently correspond to practice. Detector now very well understood!

SCB quantification via SEC-IR

Despite very good analytical performance:

We need a better LOD! (down to 0,1 CH3/1000C)

Presenter
Presentation Notes
DCR: AF4 with SEC for particles plus polymer DBC: AF4-ICP for metals in proteins
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Quantification of LCB

o LCB can be detected relatively sensitive via SEC-DV.

o Accurate quantification of LCB not trivial.

o Zimm-Stockmayer theory related to Rg rather than Rh and holds for theta conditions.

o Correlation between Rg and Rh: draining factor ε, not exactly known.

Presenter
Presentation Notes
DCR: AF4 with SEC for particles plus polymer DBC: AF4-ICP for metals in proteins
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o “Late co-elution”. Effect increases with decreasing dp and

increasing flow rate. o Effect can be somewhat suppressed but not completely

prevented.

SEC for very high molar mass polymers

----1ml/min ----0.5ml/min ----0.2 ml/min

RI and LS chromatograms of LDPE tubular on PL Mixed A, (dp 20 μm)

Presenter
Presentation Notes
DCR: AF4 with SEC for particles plus polymer DBC: AF4-ICP for metals in proteins
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High molar mass molecules need to reorganize and slalom

through the beads. Highest M will elute last !!!

Random coil transition

stretch

Slalom effects, coil-stretch transition

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Slalom chromatography

Chromatograms of PS standards in slalom mode. Acquity UPLC BEH C18 Column 100 × 2.1 mm I.D; 1.7-μm particles. Flow rate 0.7 mL/min; mobile phase THF; ambient temperature.

Data from E.V. Uliyanchenko, PhD thesis, Chapter 4.

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Alternative: AF4?

Molecular characterization of UHMW polymers still

needs further development.

Presenter
Presentation Notes
DCR: AF4 with SEC for particles plus polymer DBC: AF4-ICP for metals in proteins
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Yes:

o Much faster results.

o Higher resolution, especially in low molar mass range.

o Less waste.

o Flexibility in solvent composition (rigidity of column packing).

But also a few catches..

Fast SEC – APC

MMD of PS 19,9 Da – by SEC and APC (conventional calibration).

Presenter
Presentation Notes
DCR: AF4 with SEC for particles plus polymer DBC: AF4-ICP for metals in proteins
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o Increasing elution volume on increasing flow rate, for higher masses (from 105 kDa).

o Slalom effects?

o P affecting coil density?

APC: flow rate affects elution volume

Effect of flow rate (0,2 – mL/min) on elution volume. Solvent: NMP.

Increasing flow rate

Presenter
Presentation Notes
DCR: AF4 with SEC for particles plus polymer DBC: AF4-ICP for metals in proteins
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APC: varying molar mass compared to SEC

Mp values for 8 saturated polyester samples in NMP (PS calibration).

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Mp (APC) Mp (SEC)

Mp values for 20 non-functional acrylate samples in NMP (PS

calibration).

Presenter
Presentation Notes
DCR: AF4 with SEC for particles plus polymer DBC: AF4-ICP for metals in proteins
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o Sample dependent results indicate non-SEC effects. No other column packing types (yet) available to help preventing this. Solvent triangle!

o Changing molar masses values requires effort for implementation in e.g. QA/ QC.

o Observation: column clogging for various semi-crystalline polyesters. Not observed in SEC.

o LS detector available nowadays but DV not (yet).

o Use of high flow rates needs further attention!

APC: flow rate affects elution volume

APC is interesting for its speed and flexibility but needs further attention!

Presenter
Presentation Notes
DCR: AF4 with SEC for particles plus polymer DBC: AF4-ICP for metals in proteins
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o Separation of various polyamide types by Gradient Polymer Elution Chromatography (GPEC).

o Separation based on chemical composition plus molar mass.

Increasing retention (x-axis) from increasingly non-polar polyamides.

Chemical composition separation by GPEC

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Chemical composition separation by GPEC

Following blending of polymers by GPEC: changing CCD.

o Next step: 2D-LC, e.g. SEC-GPEC OR GPEC-SEC:

o More details, (small) differences.

o Quantification of CCD?!

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On-line Advantages • No laborious sample (fraction) prep. • (Coupled to the above): suited for

large series and standardized applications.

• ‘Sexy’..

Disadvantages • Interfacing still cumbersome due to

e.g. solvent mismatch issues (strength, viscosity, miscibility).

• Time-consuming setting-up per application.

• No free choice of order of dimensions.

• Second dimension resolution limited. (SEC..).

Off-line Advantages • No ‘complex’ interfacing. • For incidental applications and

freedom to choose separation order. • Maximum separation power in both

dimensions. • Fractions also available for e.g. NMR

and titrations.

Disadvantages • Relatively laborious (sample prep). • Critical to pollution (eluent!). • Sometimes unexpected effects

(adsorption at tubing etc.).

38

2D-LC for polymers: on-line or off-line?

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2D-LC for polymers: in practice

o Despite developments since ~15 years: use of on-line 2DLC for polymers seems rare.

o Quantification in 2DLC seems completely neglected in research. E.g. accuracy, precision of 2nd dimension SEC?

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Our practice: working on both on-line and off-line coupling

o On-line 2DLC o Striving for a few ‘standardized’

systems. o Collaboration with Universities to

speed-up implementation. Projects on e.g. fast method optimization.

o Off-line 2DLC o Streamlining fractionations. o Developing sample prep. Strategies

for e.g. HFIP-KTFA systems.

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Example on-line 2D chromatography

On-line 2D-LC separation (RPLCxHILIC) of oligomers with

different end groups. Structured Chromatograms.

First results LCxSEC of polymer blending. Little SEC resolution.

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o Issues on setting-up SEC

fractionation from HFIP/ KTFA:

o Adsorption to Teflon tubing.

o Preventing contaminations.

o Removal of salt by SPE: o Adsorption of KTFA to C18:

optimization of desorption conditions.

o Drying and re-dissolution procedure on the C18 cartridge.

o Now ready for further work. Already

new details visible on polymers.

Example off-line 2D chromatography DSM - the Life Sciences and Materials Sciences Company

Low polydispersity fractions from SEC.

First results SEC-GPEC for a polyamide.

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Conclusions

o Value of modern SEC can hardly be over estimated but..

o Establishing accurate and precise systems is still not trivial (for many users).

o Need for better, more precise and sensitive branching characterization.

o Need for better methods for very high molar masses especially at high temperatures.

o Fast SEC (APC): need for other column packings; beware of too high speeds.

o 2D LC for polymers is still in its infancy: quantification!

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DSM - the Life Sciences and Materials Sciences Company

Acknowledgements

Tiny Frijns

Sandra van der Flier

Artur Henke

Sander Kok

Joep Vanderfeesten

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