Crambe Methyl Biodiesel FT-MIR Spectra for Adulterant Detection

Fourier Transform Mid-Infrared spectrometry and multivariate control charts were used to monitor biodiesel quality. The methodology correctly classified all in-quality control samples and adulterated samples containing 4.85-30.13% soybean or used fry oil. This dataset was developed by Baltazar Vasco Sitoe for use by fuel supervisory and quality control agencies.

Use Cases

• Training calibration models for biodiesel content monitoring based on Net Analyte Signal decomposition.
• Detecting adulterants like soybean oil in biodiesel-diesel blends using FT-MIR spectral data.
• Implementing multivariate quality control charts for fuel production processes based on interference and residual signal monitoring.

Strengths

• Validation involved samples adulterated with specific contaminants (soybean oil, used fry oil) in a defined range of 4.85-30.13% (v/v).
• The described methodology correctly classified all prepared in-quality and out-of-quality control samples.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Baltazar Vasco Sitoe

Collection Method

Samples were prepared and analyzed using Fourier Transform Mid-Infrared (FT-MIR) spectrometry.