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Automated quality control of diesel using near-infrared spectroscopy

AN-NIR-080

2026-09

Automated quality control of diesel using near-infrared spectroscopy

Fast and straightforward determination of cetane index, cetane number, T95, density, flash point, and viscosity


Summary

Key parameters for diesel fuel quality testing include the cetane index (ASTM D613), flash point (ASTM D56), density (ASTM D975), T95 (ISO 3405), and viscosity at 40 °C (ISO 3104). Usually, determining these properties is labor intensive and time consuming, requiring multiple analytical techniques and dedicated instrumentation. The OMNIS NIR Analyzer Liquid provides a fast, reliable, and reagent-free solution to simultaneously determine these diesel fuel properties without sample preparation. The precise temperature control ensures that all samples are measured in compliance with ASTM D8340, ASTM D8321, and ASTM D6122. Combined with the OMNIS Sample Robot M – NIR, the system offers fully automated operation for maximum lab efficiency.

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Experimental equipment

OMNIS NIR Analyzer Liquid combined with OMNIS  Sample Robot M – NIR
Figure 1. OMNIS NIR Analyzer Liquid combined with OMNIS Sample Robot M – NIR.

Diesel samples were measured with an OMNIS NIR Analyzer Liquid (Figure 1) in transmission mode over a wavelength range of 1000–2250 nm. Reproducible spectrum acquisition was achieved using the built-in temperature control at 30 °C. An OMNIS Sample Robot M – NIR was used for fully automated sample measurement with disposable vials (8 mm pathlength). The vials are closed, which reduces the flammability risk for fuel samples to an absolute minimum. OMNIS Software was used for all data acquisition and prediction model development.


Configuration


Result

The near-infrared spectra of diesel fuels (Figure 2), along with the corresponding reference values, were used to create prediction models for cetane number, cetane index, density, flash point, T95, and viscosity.

The quality of the prediction models was evaluated using the correlation diagrams shown in Figures 3–8 which display a very high correlation between the NIR prediction and the measured values using standard methods. Out of the total, 25% of the samples were selected as the validation set and the other 75% as a calibration set. The respective figures of merit (FOM) display the expected precision of a prediction during routine analysis.

 NIR spectra of diesel fuel samples analyzed at 30 °C with the OMNIS NIR Analyzer Liquid.
Figure 2. NIR spectra of diesel fuel samples analyzed at 30 °C with the OMNIS NIR Analyzer Liquid.

Result cetane number in diesel

Correlation diagram and the respective FOMs for the prediction of cetane rating in diesel using an OMNIS NIR Analyzer Liquid.
Figure 3. Correlation diagram and the respective FOMs for the prediction of cetane rating in diesel using an OMNIS NIR Analyzer Liquid. The calibration dataset is shown in blue, and the external validation dataset is in green.
R2PSEC SECVSEP
0.9220.610.650.67

Result cetane index in diesel

Correlation diagram and the respective FOMs for the prediction of cetane index in diesel using an OMNIS NIR Analyzer Liquid.
Figure 4. Correlation diagram and the respective FOMs for the prediction of cetane index in diesel using an OMNIS NIR Analyzer Liquid. The calibration dataset is shown in blue, and the external validation dataset is in green.
R2PSEC SECVSEP
0.9030.790.801.06

Result T95 in diesel

Correlation diagram and the respective FOMs for the prediction of T95 in diesel using an OMNIS NIR Analyzer Liquid.
Figure 5. Correlation diagram and the respective FOMs for the prediction of T95 in diesel using an OMNIS NIR Analyzer Liquid. The calibration dataset is shown in blue, and the external validation dataset is in green.
R2PSEC (°C)SECV (°C)SEP (°C)
0.8953.423.693.75

Result viscosity in diesel

Correlation diagram and the respective FOMs for the prediction of viscosity in diesel using an OMNIS NIR Analyzer Liquid.
Figure 6. Correlation diagram and the respective FOMs for the prediction of viscosity in diesel using an OMNIS NIR Analyzer Liquid. The calibration dataset is shown in blue, and the external validation dataset is in green.
R2PSEC (cSt)SECV (cSt)SEP (cSt)
0.9620.060.060.07

Result flash point in diesel

 Correlation diagram and the respective FOMs for the prediction of flash point in diesel using an OMNIS NIR Analyzer Liquid.
Figure 7. Correlation diagram and the respective FOMs for the prediction of flash point in diesel using an OMNIS NIR Analyzer Liquid. The calibration dataset is shown in blue, and the external validation dataset is in green.
R2PSEC (°C)SECV (°C)SEP (°C)
0.9731.241.581.90

Result density in diesel

Correlation diagram and the respective FOMs for the prediction of density in diesel using an OMNIS NIR Analyzer Liquid.
Figure 8. Correlation diagram and the respective FOMs for the prediction of density in diesel using an OMNIS NIR Analyzer Liquid. The calibration dataset is shown in blue, and the external validation dataset is in green.
R2PSEC (g/cm3)SECV (g/cm3)SEP (g/cm3)
0.9850.00120.00140.0016

Conclusion

This Application Note shows the feasibility of using NIR spectroscopy for the quality control of diesel. Determination of cetane index, cetane number, T95, density, flash point, and viscosity in diesel can be done simultaneously in a few seconds by using the OMNIS NIR Analyzer Liquid. The possibility of fully automated analysis in combination with the OMNIS Sample Robot M – NIR increases throughput, maximizing efficiency. With the OMNIS pre-calibration of diesel (6.06008.009), users can measure all the mentioned parameters from day one.

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