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Analysis of Residual Solvents in Pharmaceuticals - Report No. 333

Applications | 2022 | ShimadzuInstrumentation
GC, Consumables, GC columns, HeadSpace
Industries
Pharma & Biopharma
Manufacturer
Shimadzu

Summary

Significance of Residual Solvent Analysis


Residual solvents in pharmaceutical products can pose safety risks and affect drug quality. Accurate quantification ensures compliance with regulatory standards (JP17 Supplement II, USP 467) and protects patient health.

Objective and Study Overview


This application note presents a gas chromatography–flame ionization detection (GC–FID) method with headspace sampling for simultaneous analysis of 16 residual solvents in pharmaceuticals, meeting Japanese and United States pharmacopeia requirements.

Methodology


The procedure employs static headspace sampling followed by GC separation on a SH-PolarWax capillary column with a programmed temperature gradient. Key parameters include a split injection (1:10), helium carrier gas at 35 cm/s, and an FID detector set at 250 °C.

Instrumentation


  • Gas Chromatograph: Shimadzu Nexis GC-2030 with HS-20 headspace sampler
  • Column: SH-PolarWax (30 m × 0.32 mm I.D., 0.25 μm film)
  • Detector: FID-2030 using H₂ (32 mL/min), air (200 mL/min) and He makeup (24 mL/min)
  • Headspace Conditions: Oven 80 °C, sample line 90 °C, transfer line 105 °C, vial pressurization 68.9 kPa, equilibration 45 min

Key Results and Discussion


The method achieved baseline resolution for all target solvents within a 59.17-minute runtime. Retention times were reproducible and detector response was linear across relevant concentration ranges, demonstrating robustness for routine quality control.

Benefits and Practical Applications


  • Regulatory Compliance: Aligned with JP17 Supplement II and USP 467 guidelines
  • Efficiency: Concurrent analysis of diverse solvent classes in a single run
  • Reproducibility: Stable performance suitable for high-throughput laboratories

Future Trends and Opportunities


Advancements in headspace automation, shorter columns, and coupling with mass spectrometry may further reduce analysis time and enhance sensitivity. Implementation of data analytics can improve method development and batch consistency.

Conclusion


The described GC–FID headspace method offers a reliable, efficient, and pharmacopeia-compliant solution for quantifying residual solvents in pharmaceuticals, supporting stringent quality assurance and regulatory adherence.

References


  • Application News G324 (JP, ENG), Shimadzu Corporation, First Edition: Sep. 2022, ERAS-1000-0333.

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Analysis of Residual Solvents in Pharmaceuticals - Report No. 334
ERAS-1000-0334 GC FID HS SH Series SH-PolarWax Analysis of Residual Solvents in Pharmaceuticals 334 Keywords: JP17 Supplement II, USP 467 1. Cyclohexane 2. Methyl cyclohexane 3.trans-1,2-Dichloroethylene + Tetrahydrofuran 4. Methanol 5. Methylene chloride (DCM) 6. cis-1,2- Dichloroethylene 7. Acetonitrile 8.…
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