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Low-Cost Near-Infrared Spectroscopy for Rapid Prediction of Biodiesel Properties: Acid Value, Density, Viscosity, and Water Content

International Journal of Technology | 2026

Paper Details

Authors: Phetpan K.; Thongphut C.; Chungcharoen T.; Limmun W.

DOI: 10.14716/ijtech.v17i2.8331

Journal: International Journal of Technology

Year: 2026

Publisher: Faculty of Engineering, Universitas Indonesia

Document Type: Article

Open Access: All Open Access; Gold Open Access

Cited by: 1

Abstract

Partial least squares (PLS) regression, combined with various spectral pre-processing techniques, was employed to compare the performance of two diode array near-infrared (NIR) spectrometers in predicting key biodiesel quality parameters, including acidity, viscosity, density, and water content. An AvaSpec-Mini4096CL NIR spectrometer, operating within the 350–1100 nm wavelength range, was used as the representative shortwave near-infrared (SW-NIR) spectrometer, while a NIRQuest512 spectrometer, covering the 900–1700 nm range, was employed as the longwave near-infrared (LW-NIR) spectrometer. Both spectrometers were equipped with a transflection probe for spectral collection from oil palm-based biodiesel samples. The SW-NIR spectrometer outperformed the LW-NIR spectrometer. The optimal PLS models achieved root mean square errors of prediction (RMSEP) of 0.0037 mg KOH/g for acidity, 0.062 cSt (mm2/s) for viscosity, 2.67 kg/m3 for density, and 59.14 mg/kg for water content, highlighting the potential of compact SW-NIR spectrometers as effective, low-cost tools for rapid biodiesel quality monitoring. © 2026 Faculty of Engineering, Universitas Indonesia. All rights reserved.

Keywords

Biodiesel properties; Diode array spectrometer; Multivariate calibration; Near-infrared spectroscopy (NIRS)