Evaluation of Portable Vibrational Spectroscopy Sensors as a Tool to Detect Black Cumin Oil Adulteration

Black cumin oil adulteration has become a concern because it has numerous health benefits and a high price. Therefore, a simple, non-destructive, and rapid method to identify adulterations in black seed oil is necessary to protect the quality of the oils. This study aimed to perform a non-invasive m...

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Bibliographic Details
Published inProcesses Vol. 10; no. 3; p. 503
Main Author Menevseoglu, Ahmed
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.03.2022
Subjects
Canola
Chromatography
Data analysis
Data collection
Fatty acids
Gas chromatography
Identification methods
Least squares method
Nigella sativa
NMR
Nondestructive testing
Nuclear magnetic resonance
Oils & fats
Performance evaluation
Photonics
Portable equipment
Sensors
Signal to noise ratio
Software
Soybeans
Spectrometers
Spectroscopy
Spectrum analysis
Vegetable oils
United States > US
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Summary:Black cumin oil adulteration has become a concern because it has numerous health benefits and a high price. Therefore, a simple, non-destructive, and rapid method to identify adulterations in black seed oil is necessary to protect the quality of the oils. This study aimed to perform a non-invasive method to authenticate black cumin oil by portable FT-NIR, FT-MIR, and Raman spectrometers. Spectra were collected with portable devices and analyzed using Soft Independent Modelling of Class Analogy (SIMCA) to generate a classification model to identify pure black cumin oil and partial least squares regression (PLSR) to predict the adulterant levels. For confirmation, the fatty acid profile of the oils was determined by gas chromatography (GC). SIMCA and PLSR models provided a very high performance in detecting adulterated samples in all portable units. These portable units showed great potential for rapid and non-destructive monitoring to identify adulterated black cumin oils.
ISSN:2227-9717
2227-9717
DOI:10.3390/pr10030503