Quality Control of Diesel
Applications | 2020 | MetrohmInstrumentation
Diesel fuel quality critically impacts engine performance, fuel efficiency, and emissions control. Key parameters such as cetane index, flash point, cold filter plug point (CFPP), distillation point D95, and viscosity define diesel suitability for various conditions. Traditional reference methods are time-consuming and require multiple instruments and reagents, motivating faster, reagentless approaches.
This study evaluates the feasibility of using visible and near-infrared (Vis-NIR) spectroscopy with the XDS RapidLiquid Analyzer to simultaneously determine cetane index, flash point, CFPP, D95, and viscosity in diesel samples. The aim is to streamline quality control by reducing analysis time and simplifying workflows.
Diesel samples were measured in transmission mode over the 400–2500 nm range using a temperature-controlled sample compartment at 30 °C. Disposable 8 mm vials eliminated cleaning steps, and no chemical reagents or sample preparation were required. The Vision Air Complete software suite handled data acquisition, calibration, and prediction model development.
Prediction models were built and validated against standard methods. Figures of merit include:
Vis-NIR spectroscopy with the XDS RapidLiquid Analyzer provides a rapid, accurate, and reagent-free approach to diesel quality analysis. Implementing this technology can optimize laboratory workflows and deliver reliable data for critical fuel parameters.
No references were provided in the original document.
NIR Spectroscopy
IndustriesEnergy & Chemicals
ManufacturerMetrohm
Summary
Importance of the Topic
Diesel fuel quality critically impacts engine performance, fuel efficiency, and emissions control. Key parameters such as cetane index, flash point, cold filter plug point (CFPP), distillation point D95, and viscosity define diesel suitability for various conditions. Traditional reference methods are time-consuming and require multiple instruments and reagents, motivating faster, reagentless approaches.
Objectives and Study Overview
This study evaluates the feasibility of using visible and near-infrared (Vis-NIR) spectroscopy with the XDS RapidLiquid Analyzer to simultaneously determine cetane index, flash point, CFPP, D95, and viscosity in diesel samples. The aim is to streamline quality control by reducing analysis time and simplifying workflows.
Methodology and Instrumentation
Diesel samples were measured in transmission mode over the 400–2500 nm range using a temperature-controlled sample compartment at 30 °C. Disposable 8 mm vials eliminated cleaning steps, and no chemical reagents or sample preparation were required. The Vision Air Complete software suite handled data acquisition, calibration, and prediction model development.
Instrumentation Used
- XDS RapidLiquid Analyzer (Metrohm #2.921.1410)
- Disposable glass vials, 8 mm diameter (Metrohm #6.7402.000)
- Vision Air 2.0 Complete spectroscopy software (Metrohm #6.6072.208)
Main Results and Discussion
Prediction models were built and validated against standard methods. Figures of merit include:
- Cetane index: R² = 0.991, SECV = 0.143
- Flash point: R² = 0.977, SECV = 2.50 °C
- CFPP: R² = 0.973, SECV = 2.24 °C
- D95: R² = 0.861, SECV = 3.47 °C
- Viscosity at 40 °C: R² = 0.983, SECV = 0.047 cSt
Benefits and Practical Applications
- Analysis time under one minute without sample prep or reagents
- Single-instrument workflow reduces labor and operational costs
- Easy integration into routine QA/QC and process monitoring
- Disposable vials simplify handling and prevent cross-contamination
Future Trends and Opportunities
- Inline process control for continuous fuel quality monitoring
- Extended calibrations for biodiesel blends and alternative fuels
- Integration with machine learning and advanced chemometrics
- Portable NIR solutions for field and remote applications
Conclusion
Vis-NIR spectroscopy with the XDS RapidLiquid Analyzer provides a rapid, accurate, and reagent-free approach to diesel quality analysis. Implementing this technology can optimize laboratory workflows and deliver reliable data for critical fuel parameters.
Reference
No references were provided in the original document.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
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