Quality Control of Gasoline
Applications | 2020 | MetrohmInstrumentation
In modern fuel production and quality control, rapid multi‐parameter analysis of gasoline is crucial for meeting strict regulatory requirements and reducing environmental impacts. Traditional testing methods for octane rating, aromatic content, and density are time‐consuming and resource intensive. Implementing a single, fast spectroscopic technique streamlines laboratory workflows, lowers operating costs, and supports the development of higher‐performance, cleaner‐burning engines.
This study demonstrates the feasibility of using visible and near‐infrared (Vis-NIR) spectroscopy with the XDS RapidLiquid Analyzer for simultaneous determination of key gasoline quality parameters: research octane number (RON), motor octane number (MON), anti knock index (AKI), aromatic content, and density. The goal was to develop robust calibration models that match reference methods while significantly reducing analysis time.
Gasoline samples were measured in transmission mode across the full 400–2500 nm range. A temperature‐controlled sample holder and disposable 8 mm vials ensured reproducible spectra without the need for cleaning between runs. Data acquisition and chemometric model development were carried out using Vision Air Complete software, enabling automated calibration and validation workflows.
The Vis-NIR calibration models exhibited strong agreement with standard reference methods:
Correlation diagrams confirmed accurate predictions against engine test and chromatographic reference values. Analysis time per sample was under one minute, compared to 30–45 minutes for conventional methods.
The Vis-NIR approach offers multiple advantages:
This solution is well suited for quality control laboratories in fuel production plants, blending facilities, and research institutions seeking to optimize processes and ensure consistent product performance.
Advances in spectrometer design and chemometric algorithms will further enhance sensitivity and enable real‐time, inline monitoring of fuel streams. Integration with process analytical technology (PAT) platforms promises continuous quality assurance. Expansion of calibration libraries to cover biofuel blends and emerging alternative fuels will broaden the applicability of Vis-NIR spectroscopy in the evolving energy sector.
The XDS RapidLiquid Analyzer combined with Vis-NIR spectroscopy and robust chemometric models enables rapid, accurate multiparameter analysis of gasoline. This method significantly reduces time to result, cuts operational costs, and simplifies workflows compared to conventional engine tests and chromatographic assays. Its implementation supports improved fuel quality control and accelerates research and development of cleaner, more efficient fuels.
NIR Spectroscopy
IndustriesEnergy & Chemicals
ManufacturerMetrohm
Summary
Importance of the Topic
In modern fuel production and quality control, rapid multi‐parameter analysis of gasoline is crucial for meeting strict regulatory requirements and reducing environmental impacts. Traditional testing methods for octane rating, aromatic content, and density are time‐consuming and resource intensive. Implementing a single, fast spectroscopic technique streamlines laboratory workflows, lowers operating costs, and supports the development of higher‐performance, cleaner‐burning engines.
Objectives and Study Overview
This study demonstrates the feasibility of using visible and near‐infrared (Vis-NIR) spectroscopy with the XDS RapidLiquid Analyzer for simultaneous determination of key gasoline quality parameters: research octane number (RON), motor octane number (MON), anti knock index (AKI), aromatic content, and density. The goal was to develop robust calibration models that match reference methods while significantly reducing analysis time.
Methodology and Instrumentation
Gasoline samples were measured in transmission mode across the full 400–2500 nm range. A temperature‐controlled sample holder and disposable 8 mm vials ensured reproducible spectra without the need for cleaning between runs. Data acquisition and chemometric model development were carried out using Vision Air Complete software, enabling automated calibration and validation workflows.
Used Instrumentation
- XDS RapidLiquid Analyzer (Metrohm 2.921.1410)
- Disposable borosilicate vials, 8 mm diameter (Metrohm 6.7402.000)
- Vision Air 2.0 Complete software (Metrohm 6.6072.208)
Main Results and Discussion
The Vis-NIR calibration models exhibited strong agreement with standard reference methods:
- RON: R² = 0.989, SECV = 0.29
- MON: R² = 0.889, SECV = 0.53
- AKI: R² = 0.945, SECV = 0.46
- Aromatic content: R² = 0.974, SECV = 1.07 vol%
- Density: R² = 0.973, SECV = 0.0023 kg/L
Correlation diagrams confirmed accurate predictions against engine test and chromatographic reference values. Analysis time per sample was under one minute, compared to 30–45 minutes for conventional methods.
Benefits and Practical Applications
The Vis-NIR approach offers multiple advantages:
- Rapid throughput: Single‐minute measurement for all parameters
- Cost efficiency: Reduced labor and consumable expenses
- Ease of use: Minimal sample preparation and no cleaning steps
- Regulatory compliance: Prediction models aligned with ASTM standards
This solution is well suited for quality control laboratories in fuel production plants, blending facilities, and research institutions seeking to optimize processes and ensure consistent product performance.
Future Trends and Opportunities
Advances in spectrometer design and chemometric algorithms will further enhance sensitivity and enable real‐time, inline monitoring of fuel streams. Integration with process analytical technology (PAT) platforms promises continuous quality assurance. Expansion of calibration libraries to cover biofuel blends and emerging alternative fuels will broaden the applicability of Vis-NIR spectroscopy in the evolving energy sector.
Conclusion
The XDS RapidLiquid Analyzer combined with Vis-NIR spectroscopy and robust chemometric models enables rapid, accurate multiparameter analysis of gasoline. This method significantly reduces time to result, cuts operational costs, and simplifies workflows compared to conventional engine tests and chromatographic assays. Its implementation supports improved fuel quality control and accelerates research and development of cleaner, more efficient fuels.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
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