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Using Advanced Polymer Chromatography with Quaternary Solvent Manager and Evaporative Light Scattering Detection for Gradient Polymer Elution Chromatography

Applications | 2019 | WatersInstrumentation
HPLC, GPC/SEC
Industries
Energy & Chemicals
Manufacturer
Waters

Summary

Importance of the Topic


Gradient Polymer Elution Chromatography (GPEC) provides a complementary approach to size‐exclusion techniques by separating polymers based on their solubility in a solvent gradient. This method is essential for accurate characterization of polymer blends, batch conformity testing, and reverse engineering of formulations in materials science and industrial polymer analysis.

Objectives and Study Overview


This study evaluates the integration of a polymer quaternary solvent manager (p-QSM) and an evaporative light scattering detector (ELSD) into the Waters ACQUITY Advanced Polymer Chromatography (APC) system. The aim is to demonstrate rapid, robust GPEC separations using harsh organic solvents and to compare performance metrics with traditional HPLC/GPC setups.

Methodology and Instrumentation


  • System configuration: Waters ACQUITY APC with p-QSM and ELSD.
  • Columns: XBridge BEH C8, 3.0×100 mm, 2.5 µm; Symmetry Shield C8 for comparison.
  • Mobile phases: Methanol (good solvent) and THF (strong solvent) in quaternary gradient.
  • Gradient design: Cloud‐point determination via titration of polymer solutions into non‐solvent to find precipitation onset; step gradient profile optimized to release polystyrene (PS), polybutadiene (PBD), and polymethylmethacrylate (PMMA) sequentially.
  • Detection and data processing: ELSD for universal polymer detection; Empower 3 CDS for custom gradient ratio and peak area calculations.

Main Results and Discussion


  • Analysis time reduced from 16 min (HPLC/QSM) to 5 min (APC/QSM) for GPEC separations.
  • GPC failed to resolve PS, PBD, and PMMA due to similar hydrodynamic volumes; GPEC achieved baseline separation by controlled precipitation and re‐dissolution.
  • Linear gradients produced poor reproducibility and incomplete elution for some polymers; a tailored step gradient ensured consistent peak areas and elution profiles.
  • Empower CDS custom calculations eliminated manual data export, automating polymer ratio reporting directly within the software.

Benefits and Practical Applications


  • Fast, high‐resolution polymer separations with sub-3 µm column technology.
  • Full compatibility with aggressive solvents (THF, chloroform, DMSO) extends analytical flexibility.
  • Universal ELSD detection allows analysis of UV‐inactive polymers.
  • Reduced solvent consumption compared to GPC and HPLC, supporting sustainable laboratory practices.
  • Applicable to QA/QC, formulation development, and batch conformity testing.

Future Trends and Opportunities


  • Integration with UPLC platforms to further shorten analysis times and enhance throughput.
  • Expansion of solvent managers to include aqueous and mixed‐phase gradients for copolymer characterization.
  • Coupling GPEC with mass spectrometry or multi‐detector arrays for detailed structural insights.
  • Development of automated cloud‐point screening tools to streamline gradient method development.

Conclusion


GPEC on the APC platform with p-QSM and ELSD offers a rapid, robust alternative to GPC for polymer blend analysis. By exploiting solubility differences rather than size exclusion, this technique achieves high resolution in under 10 minutes and supports a wide range of solvents and polymers, making it a valuable tool for modern polymer laboratories.

Reference


  1. Uliyanchenko E.; van der Walac S.; Schoenmakers P.J. Challenges in Polymer Analysis by Liquid Chromatography. Polym. Chem. 2012, 3, 2313–2335.
  2. Waters ACQUITY UPLC Evaporative Light Scattering Detector Getting Started Guide.
  3. Klumperman B.; Cools P.; Philipsen H.; Staal W. Influence of Molar Mass on Retention in Gradient Polymer Elution Chromatography. Macromol. Symp. 1996, 110:1–13.
  4. Klenin V.J.; Shmakov S.L. Features of Phase Separation in Polymeric Systems: Cloud‐Point Curves. Univ. J. Mater. Sci. 2013, 1(2):39–45.

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