Gas Chromatography (GC) - Quality Testing — Ethanol in Hand Sanitizers
Brochures and specifications | 2020 | ShimadzuInstrumentation
In the context of global health measures against COVID-19, ensuring the quality and safety of alcohol-based hand sanitizers is critical. Regulatory authorities such as the WHO and CDC require products to contain at least 60 % ethanol or 70 % isopropanol. Moreover, pharmacopeial standards demand strict control of toxic impurities in ethanol. Gas chromatography (GC) provides a robust solution for rapid and precise quantification of ethanol content and impurity profiling in hand sanitizers.
This study demonstrates the use of the Shimadzu Nexis GC-2030 system for:
Samples were introduced via split injection (11 : 1 or 20 : 1) at 250 °C inlet temperature. The column oven program began at 40 °C (12 min hold), ramped to 240 °C at 10 °C/min with a 10 min hold. Separation employed SH-Rt™-Q-BOND (30 m × 0.53 mm, df 20 μm) or SH-Rtx™-624 (30 m × 0.32 mm, df 1.8 μm) capillary columns. Detection was carried out using flame ionization (FID) and thermal conductivity (TCD) detectors at 260 °C. Resolution between key early eluting peaks (methane, methanol, ethanol) exceeded Rs > 1.5.
Ethanol concentrations in tested hand sanitizers were found within the required 70–80 % range. Impurity levels were quantified as follows: methanol ≤0.02 %, acetaldehyde + acetal ≤0.001 %, benzene ≤0.0002 %, and other volatiles ≤0.03 %, meeting pharmacopeial limits. Chromatograms exhibited baseline separation of target analytes, ensuring accurate quantification. The Nexis GC-2030 system demonstrated excellent sensitivity and repeatability across replicate injections.
Advances in detector technology (e.g., bidirectional FID, micro-flame sensors) and automation will further enhance GC performance. Coupling GC with mass spectrometry (GC-MS) can expand impurity profiling to novel contaminants. Integration with laboratory information management systems (LIMS) and AI-driven data analysis will streamline quality control workflows and real-time batch release.
The Shimadzu Nexis GC-2030 platform offers a powerful solution for the quality assessment of ethanol-based hand sanitizers. Its high sensitivity, reproducibility, and flexibility make it ideal for meeting stringent regulatory requirements and ensuring consumer safety.
GC, GC columns, Consumables
IndustriesPharma & Biopharma
ManufacturerShimadzu
Summary
Significance of the Topic
In the context of global health measures against COVID-19, ensuring the quality and safety of alcohol-based hand sanitizers is critical. Regulatory authorities such as the WHO and CDC require products to contain at least 60 % ethanol or 70 % isopropanol. Moreover, pharmacopeial standards demand strict control of toxic impurities in ethanol. Gas chromatography (GC) provides a robust solution for rapid and precise quantification of ethanol content and impurity profiling in hand sanitizers.
Objectives and Study Overview
This study demonstrates the use of the Shimadzu Nexis GC-2030 system for:
- Determination of ethanol concentration in alcohol-based hand sanitizers.
- Separation and quantification of trace impurities including methanol, acetaldehyde, acetal, benzene, and other volatiles.
- Verification of compliance with national and international standards (e.g., GB/T 26373-2010, European Pharmacopoeia 10.0).
Methodology
Samples were introduced via split injection (11 : 1 or 20 : 1) at 250 °C inlet temperature. The column oven program began at 40 °C (12 min hold), ramped to 240 °C at 10 °C/min with a 10 min hold. Separation employed SH-Rt™-Q-BOND (30 m × 0.53 mm, df 20 μm) or SH-Rtx™-624 (30 m × 0.32 mm, df 1.8 μm) capillary columns. Detection was carried out using flame ionization (FID) and thermal conductivity (TCD) detectors at 260 °C. Resolution between key early eluting peaks (methane, methanol, ethanol) exceeded Rs > 1.5.
Instrumentation Used
- Shimadzu Nexis GC-2030 with Advanced Flow Controller (AFC)
- Detector types: FID and TCD
- Columns: SH-Rt™-Q-BOND (30 m, 0.53 mm ID, 20 μm) and SH-Rtx™-624 (30 m, 0.32 mm ID, 1.8 μm)
- Split/splitless injector with temperature control
Main Results and Discussion
Ethanol concentrations in tested hand sanitizers were found within the required 70–80 % range. Impurity levels were quantified as follows: methanol ≤0.02 %, acetaldehyde + acetal ≤0.001 %, benzene ≤0.0002 %, and other volatiles ≤0.03 %, meeting pharmacopeial limits. Chromatograms exhibited baseline separation of target analytes, ensuring accurate quantification. The Nexis GC-2030 system demonstrated excellent sensitivity and repeatability across replicate injections.
Benefits and Practical Applications
- Fast, reliable ethanol and impurity analysis for QC laboratories.
- Compliance verification with international hygiene standards.
- High throughput enabled by rapid oven programming and robust split injection.
- Versatile configuration for different sample matrices and carrier gases.
Future Trends and Applications
Advances in detector technology (e.g., bidirectional FID, micro-flame sensors) and automation will further enhance GC performance. Coupling GC with mass spectrometry (GC-MS) can expand impurity profiling to novel contaminants. Integration with laboratory information management systems (LIMS) and AI-driven data analysis will streamline quality control workflows and real-time batch release.
Conclusion
The Shimadzu Nexis GC-2030 platform offers a powerful solution for the quality assessment of ethanol-based hand sanitizers. Its high sensitivity, reproducibility, and flexibility make it ideal for meeting stringent regulatory requirements and ensuring consumer safety.
References
- World Health Organization, WHO Guidelines on Hand Hygiene in Health Care, 2009.
- U.S. Centers for Disease Control and Prevention, Hand Hygiene Recommendations, 2020.
- GB/T 26373-2010, Hygienic Standard for Alcohol Disinfectants, National Standard of the People’s Republic of China.
- European Pharmacopoeia 10.0, Monograph on Ethanol, Council of Europe.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
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