Analysis of Residual Solvents in Pharmaceuticals - Report No. 334
Applications | 2022 | ShimadzuInstrumentation
The control of residual solvents in pharmaceutical products is critical to ensure patient safety and regulatory compliance. Solvent traces can pose health risks, impact product stability and efficacy, and must be monitored according to global pharmacopeial standards (JP17, USP 467). Headspace gas chromatography with flame ionization detection (GC-FID) provides a robust approach for quantifying volatile impurities without extensive sample preparation.
This application note demonstrates the development and validation of a headspace GC-FID method using an SH-PolarWax column for the simultaneous analysis of 16 common residual solvents in pharmaceuticals. The goal is to achieve baseline separation in a single run, meet pharmacopeia requirements, and deliver reproducible results for quality control laboratories.
GC System and Headspace Sampler
The optimized method achieved clear separation of 16 solvents, including aliphatic, aromatic and chlorinated compounds, within a single analysis. Key findings include:
This headspace GC-FID method streamlines residual solvent testing by minimizing sample handling and reducing analysis time. It supports routine QA/QC workflows in pharmaceutical manufacturing and is adaptable for method transfer to other laboratories. The approach offers:
Advances in instrumentation and data analysis will further enhance residual solvent testing. Emerging trends include:
The described SH-PolarWax headspace GC-FID method delivers robust, reproducible analysis of 16 residual solvents in pharmaceuticals, meeting stringent pharmacopeial requirements. Its straightforward workflow and strong performance make it a valuable tool for quality control in the pharmaceutical industry.
GC, Consumables, GC columns, HeadSpace
IndustriesPharma & Biopharma
ManufacturerShimadzu
Summary
Importance of Topic
The control of residual solvents in pharmaceutical products is critical to ensure patient safety and regulatory compliance. Solvent traces can pose health risks, impact product stability and efficacy, and must be monitored according to global pharmacopeial standards (JP17, USP 467). Headspace gas chromatography with flame ionization detection (GC-FID) provides a robust approach for quantifying volatile impurities without extensive sample preparation.
Objectives and Study Overview
This application note demonstrates the development and validation of a headspace GC-FID method using an SH-PolarWax column for the simultaneous analysis of 16 common residual solvents in pharmaceuticals. The goal is to achieve baseline separation in a single run, meet pharmacopeia requirements, and deliver reproducible results for quality control laboratories.
Methodology and Instrumentation
GC System and Headspace Sampler
- Main Unit: Nexis™ GC-2030
- Headspace Autosampler: HS-20
- Detector: FID-2030 with hydrogen/air flame and helium makeup gas
- Column: SH-PolarWax, 30 m × 0.32 mm I.D., 0.25 µm film thickness
- Oven Program: 50 °C hold 20 min, ramp 6 °C/min to 165 °C, hold 20 min (total 59.17 min)
- Carrier Gas: Helium at 35 cm/s linear velocity
- Injection Mode: Headspace split 1:10, 1 mL loop
- Vial Volume: 20 mL; sample equilibration: 110 °C for 60 min
- Vial Pressurization: 75 kPa for 1 min; loading: 0.5 min; needle flush: 5 min
- Transfer Line: 120 °C; sample line: 110 °C
Main Results and Discussion
The optimized method achieved clear separation of 16 solvents, including aliphatic, aromatic and chlorinated compounds, within a single analysis. Key findings include:
- Baseline resolution of critical pairs (e.g., o-, m-, p-xylenes).
- Reproducible retention times (RSD < 0.5 %).
- Sensitivity suitable for typical pharmacopeial limits (ppm level detection).
Benefits and Practical Applications
This headspace GC-FID method streamlines residual solvent testing by minimizing sample handling and reducing analysis time. It supports routine QA/QC workflows in pharmaceutical manufacturing and is adaptable for method transfer to other laboratories. The approach offers:
- Compliance with JP17 and USP 467 guidelines.
- High throughput sample processing.
- Reliable quantification for release testing and stability studies.
Future Trends and Potential Applications
Advances in instrumentation and data analysis will further enhance residual solvent testing. Emerging trends include:
- Coupling headspace GC with mass spectrometry for improved identification of unknown volatiles.
- Two-dimensional GC to resolve complex matrices.
- Automated method optimization using machine learning.
- Miniaturized and portable systems for on-site testing.
Conclusion
The described SH-PolarWax headspace GC-FID method delivers robust, reproducible analysis of 16 residual solvents in pharmaceuticals, meeting stringent pharmacopeial requirements. Its straightforward workflow and strong performance make it a valuable tool for quality control in the pharmaceutical industry.
References
- Shimadzu Corporation. Application News G324: Analysis of Residual Solvents in Pharmaceuticals by Headspace GC-FID. First Edition, Sep. 2022.
- Japanese Pharmacopoeia 17th Edition Supplement II; USP 467: Organic Volatile Impurities.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
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