C1 – C4 hydrocarbons
Applications | 2011 | Agilent TechnologiesInstrumentation
Rapid and accurate analysis of C1–C4 hydrocarbons is critical for petrochemical process monitoring, environmental compliance and quality control. These light hydrocarbons often serve as key indicators of feedstock composition, process performance and product purity in industrial gas streams.
This application note describes the use of an Agilent CP-Al2O3/KCl column coupled with the Agilent 490 Micro GC system to achieve baseline separation of C1 through C4 hydrocarbons in under 100 seconds. The goal is to demonstrate a fast, reliable micro-GC method suitable for routine on-site hydrocarbon analysis.
The analysis was performed under the following conditions:
The setup comprised the Agilent 490 Micro GC system equipped with a CP-Al2O3/KCl capillary column and a chip-based TCD. Helium was used as the carrier gas, ensuring fast elution and stable baseline.
The micro-GC method achieved complete separation of the following components within 100 seconds:
This rapid micro-GC method offers several advantages:
Advances in micro-fabricated detectors, integrated sampling systems and wireless data connectivity will further enhance on-site GC capabilities. Future developments may include multiplexed column arrays for broader analyte coverage and AI-driven data interpretation for automated process control.
The Agilent CP-Al2O3/KCl column paired with the 490 Micro GC provides a fast, reliable and user-friendly solution for C1–C4 hydrocarbon analysis. Its rapid cycle time, robust performance and portability make it ideal for industrial and environmental applications.
GC, GC columns, Consumables
IndustriesEnergy & Chemicals
ManufacturerAgilent Technologies
Summary
Importance of the Topic
Rapid and accurate analysis of C1–C4 hydrocarbons is critical for petrochemical process monitoring, environmental compliance and quality control. These light hydrocarbons often serve as key indicators of feedstock composition, process performance and product purity in industrial gas streams.
Study Objectives and Overview
This application note describes the use of an Agilent CP-Al2O3/KCl column coupled with the Agilent 490 Micro GC system to achieve baseline separation of C1 through C4 hydrocarbons in under 100 seconds. The goal is to demonstrate a fast, reliable micro-GC method suitable for routine on-site hydrocarbon analysis.
Methodology
The analysis was performed under the following conditions:
- Technique: Micro-GC
- Column: Agilent CP-Al2O3/KCl, 0.32 mm × 10 m
- Column Temperature: 70 °C
- Carrier Gas: Helium at 80 kPa
- Injector: 150 ms pulse, 110 °C
- Detector: Micro-chip thermal conductivity detector (TCD)
Instrumentation
The setup comprised the Agilent 490 Micro GC system equipped with a CP-Al2O3/KCl capillary column and a chip-based TCD. Helium was used as the carrier gas, ensuring fast elution and stable baseline.
Main Results and Discussion
The micro-GC method achieved complete separation of the following components within 100 seconds:
- Air (void marker)
- Methane
- Ethylene
- Isobutane
- n-Butane
Benefits and Practical Applications
This rapid micro-GC method offers several advantages:
- High speed: complete analysis in less than two minutes
- Portability: compact footprint for field or plant-side use
- Sensitivity: reliable detection of low-level hydrocarbons
- Ease of use: minimal method development and maintenance
Future Trends and Applications
Advances in micro-fabricated detectors, integrated sampling systems and wireless data connectivity will further enhance on-site GC capabilities. Future developments may include multiplexed column arrays for broader analyte coverage and AI-driven data interpretation for automated process control.
Conclusion
The Agilent CP-Al2O3/KCl column paired with the 490 Micro GC provides a fast, reliable and user-friendly solution for C1–C4 hydrocarbon analysis. Its rapid cycle time, robust performance and portability make it ideal for industrial and environmental applications.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
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