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Rapid Identification of Polysorbates 20 and 80 Directly Through Amber Bottles

Applications | 2021 | Agilent TechnologiesInstrumentation
RAMAN Spectroscopy
Industries
Pharma & Biopharma
Manufacturer
Agilent Technologies

Summary

Significance of the Topic


The integrity and identity of raw materials in pharmaceutical and biopharmaceutical production are essential for product safety and efficacy. Polysorbate 20 and 80 are widely used surfactants in monoclonal antibody formulations, representing over 80 percent of commercial products. Their susceptibility to hydrolysis and auto-oxidation demands careful handling, inert atmosphere packaging, and reliable identification methods that preserve sterility and shelf life.

Objectives and Overview of the Study


This study investigates a noninvasive approach to differentiate and verify Polysorbate 20 and 80 directly through amber glass containers. The aim is to streamline warehouse workflows by eliminating sampling steps that risk contamination, reduce turnaround time for material release, and maintain sample integrity without opening bottles.

Methodology and Instrumentation


A handheld Raman spectrometer equipped with Spatially Offset Raman Spectroscopy (SORS) was utilized to collect spectra through amber glass. The main instrument was the Agilent Vaya Raman spectrometer with an 830 nm laser and spatial offset capability. For comparison, a conventional backscattering Raman device with a 785 nm laser was also employed. Method development used the built-in wizard of the Vaya system, with automated parameter settings and baseline correction. Performance qualification was conducted prior to sample analysis. Measurements were performed at ambient light and room temperature on JT Baker amber bottles containing multi-compendial Polysorbate 20 and 80.

Main Results and Discussion


SORS-enabled spectra displayed clear, distinctive Raman bands for both polysorbates, notably a monooleate peak around 1650 cm-1 unique to Polysorbate 80. Conventional Raman through amber glass produced weak, fluorescence-dominated signals with indistinct peaks. Challenge matrix analysis revealed that the Vaya SORS method achieved high selectivity, with pass rates above 95 percent for correct identification and rejection rates below 10 percent for misassignments. By contrast, conventional Raman yielded poor differentiation and false positives.

Benefits and Practical Applications of the Method


The direct through-container testing offers several operational advantages:
  • Noninvasive inspection that maintains sterility and reduces contamination risk
  • Elimination of sampling booths, reagent disposal, and protective equipment
  • Rapid analysis results in seconds to minutes per sample
  • Reduced labor and material costs during raw material release
  • Extension of shelf life for air-sensitive components by avoiding bottle opening

Future Trends and Potential Applications


Spatially offset Raman spectroscopy can be extended to a wide range of light-filtering or opaque containers and low-scattering materials. Potential future uses include inline monitoring of high-value biologics, verification of single-use bioprocess bags, and quality control of bulk powders in multilayer packaging. Integration with warehouse management systems and AI-driven spectral libraries may further accelerate raw material workflows.

Conclusion


The Agilent Vaya Raman spectrometer with SORS technology provides a robust, noninvasive solution for rapid identification of Polysorbate 20 and 80 through amber glass bottles. The method enhances operational efficiency, ensures sample integrity, and reduces contamination risks compared to conventional Raman or FTIR sampling. Its successful implementation underscores the value of SORS for quality control in pharmaceutical environments.

Reference


  1. ICH Q7 Harmonised Tripartite Guideline Good Manufacturing Practice Guide for Active Pharmaceutical Ingredients Q7 Page 16. Accessed April 2021.

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