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Separation and Analysis of Polysorbate 80 in the Presence of Human Serum Immunoglobulin G Using Agilent Bond Elut Lipid Extraction SPE Cartridges

Applications | 2020 | Agilent TechnologiesInstrumentation
Sample Preparation, Consumables, HPLC
Industries
Pharma & Biopharma
Manufacturer
Agilent Technologies

Summary

Importance of the Topic


Biotherapeutic proteins are susceptible to aggregation and surface adsorption under interfacial stress conditions. Polysorbate 80 is a nonionic surfactant widely used to stabilize formulations by reducing protein aggregation and adsorption. Accurate quantification of Polysorbate 80 in complex matrices such as human serum immunoglobulin G is essential for maintaining product quality and ensuring regulatory compliance.

Study Objectives and Overview


This application note describes a selective extraction and analysis method for Polysorbate 80 in diluted aqueous solutions and in human serum IgG formulations. The method employs Agilent Bond Elut Lipid Extraction SPE cartridges and compares two detection techniques, liquid chromatography with diode array detection and evaporative light scattering detection. Key performance parameters including sensitivity, linearity, accuracy, precision, and specificity were evaluated.

Methodology and Instrumentation


Sample preparation uses Bond Elut Lipid Extraction cartridges with EMR—Lipid sorbent to selectively retain polysorbates. The workflow includes cartridge conditioning with acetonitrile and water, sample loading under positive pressure, washing to remove salts and proteins, and elution of Polysorbate 80 with 80 percent acetonitrile in water. Final extracts are analyzed by LC/DAD and LC/ELSD.

Instrumentation Used


  • Agilent 1260 Infinity II Bio-inert LC system
  • Agilent diode array detector and evaporative light scattering detector
  • Agilent InfinityLab Poroshell 120 EC-C18 columns (3.0×100 mm and 3.0×50 mm)
  • OpenLab and ChemStation software
  • HPLC grade solvents, human serum IgG, formic acid, phosphoric acid, phosphate buffer

Main Results and Discussion


  • LC/DAD detection achieved a limit of detection of 0.1 mg/mL and limit of quantitation of 0.2 mg/mL. LC/ELSD provided a lower limit of detection of 0.03 mg/mL and limit of quantitation of 0.04 mg/mL.
  • Calibration ranges were 0.2 to 0.6 mg/mL for LC/DAD and 0.04 to 0.6 mg/mL for LC/ELSD, with coefficients of determination above 0.99. Polynomial regression was used for the broader ELSD range and linear fits for narrower segments.
  • Quantitation accuracy ranged from 86 to 106 percent and repeatability (RSD) was within 2 to 6 percent. No interfering peaks were observed in blank IgG controls.

Benefits and Practical Applications


The SPE-LC methods effectively remove protein matrix interferences, enabling reliable Polysorbate 80 quantitation in both development and quality control environments. Orthogonal detection strategies offer flexibility to meet varying sensitivity and calibration range requirements.

Future Trends and Potential Applications


The EMR—Lipid extraction approach can be extended to other nonionic surfactants such as Polysorbate 20, Solutol HS 15, Triton X-100, and Poloxamers. Integration with mass spectrometric detection could provide detailed compositional insights and high throughput screening capabilities in biopharmaceutical workflows.

Conclusion


Agilent Bond Elut Lipid Extraction cartridges combined with LC/DAD and LC/ELSD detectors provide a robust and efficient workflow for the separation, analysis, and quantitation of Polysorbate 80 in the presence of human serum IgG. The methods deliver excellent sensitivity, accuracy, precision, and specificity for biopharmaceutical development and quality control.

References


  1. Martos A et al Trends on Analytical Characterization of Polysorbates and Their Degradation Products in Biopharmaceutical Formulations Journal of Pharmaceutical Sciences 2017 106 1722-1735
  2. Koppolu V et al A Universal Method for the Determination of Polysorbate 80 in Monoclonal Antibodies and Novel Protein Therapeutic Formulations Analytical Methods 2018 10 1296-1304
  3. Khan TA Mahler H-C Kishore R S K Key Interactions of Surfactants in Therapeutic Protein Formulations A Review European Journal of Pharmaceutics and Biopharmaceutics 2015 97 60-67
  4. Fekete S Ganzler K Fekete J Fast and Sensitive Determination of Polysorbate 80 in Solutions Containing Proteins Journal of Pharmaceutical and Biomedical Analysis 2010 52 672-679
  5. Honemann MN et al Monitoring Polysorbate Hydrolysis in Biopharmaceuticals Using a QC-ready Free Fatty Acid Quantification Method Journal of Chromatography B 2019 1116 1-8
  6. Dahotre S et al Novel Markers to Track Oxidative Polysorbate Degradation in Pharmaceutical Formulations Journal of Pharmaceutical and Biomedical Analysis 2018 157 201-207
  7. Hvattum E et al Characterization of Polysorbate 80 with Liquid Chromatography Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy Specific Determination of Oxidation Products of Thermally Oxidized Polysorbate 80 Journal of Pharmaceutical and Biomedical Analysis 2012 62 7-16
  8. Yu J et al Analysis of Tween 80 by High Performance Liquid Chromatography with Diode Array Detection Agilent Technologies publication number 5991-9188EN 2018
  9. Fukuda J et al Utilization of a Precolumn with Size Exclusion and Reversed-Phase Modes for Size-Exclusion Chromatographic Analysis of Polysorbate-Containing Protein Aggregates Journal of Chromatography B 2014 953-954 68-72
  10. Zhao L Quantitative Determination of Drugs of Abuse in Human Whole Blood by LC/MS/MS Using Agilent Captiva EMR-Lipid Cleanup Agilent Technologies publication number 5991-9251EN 2018
  11. Zhao L et al Multi-class Multi-residue Analysis of Pesticides in Edible Oils by Gas Chromatography-tandem Mass Spectrometry Using Liquid-Liquid Extraction and Enhanced Matrix Removal Liquid Cartridge Cleanup Journal of Chromatography A 2019 1584 1-12
  12. Apffel A Zhao L Lipidomic Analysis of Human Plasma using Bond Elut Lipid Extraction with the Agilent 6545 LC/Q-TOF Agilent Technologies publication number 5994-1783EN 2020

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