Facile verification of edible oils with Raman Spectroscopy

Facile Verification of Edible Oils with Raman Spectroscopy

Metrohm White Paper: The Mira P is shown to accurately verify the identities of 16 fats and oils 100% of the time using a confidence level of 95%. Included in this report are suggestions for creating and editing the training sets used in the verification method.

The Mira P accurately verifies the identities of 16 fats and oils

Edible oils comprise a significant portion of any diet, and they also have important roles in the production of foods, cosmetics, and skincare products.

For these reasons, a convenient and accurate method for materials identification of a variety of fats and oils is highly desirable.

Historically, authentication of fats and oils was performed through intensive laboratory techniques involving chromatographic methods.

Here, Raman spectroscopy combined with Principle Component Analysis (PCA) has been used for materials identification with 16 different edible oils, with excellent results.

Raman is an ideal technique for evaluation of fats

Raman is an ideal technique for evaluation of fats, as carbon-carbon double- and single-bonds give strong Raman signals. PCA analysis in combination with Raman spectroscopy is a powerful tool for qualification and verification of different fats and oils, as there are few visual differences between spectra of edible oils.

The handheld Metrohm Instant Raman Analyzer (Mira) equipped with ORSTM technology is demonstrated to accurately verify the identities of 16 different edible oils.

Raman has been used to study saturation, fatty acid composition, decomposition and adulteration of edible oils, and has an important place in industrial process control.

The Mira P is uniquely capable of materials identification AND verification within the Metrohm Mira product line. For verification of a known substance, the Mira P is equipped with PCA analysis, which provides a PASS/FAIL result with the associated p-value.

This is demonstrated to be an excellent method for discrimination in a study of different fats and oils with very small spectral differences. Analysis of samples with the Mira P is fast and easy, nondestructive, and requires no sample pretreatment. Here, the Mira P is shown to accurately verify the identities of 16 fats and oils 100% of the time using a confidence level of 95%.

Included in this report are suggestions for creating and editing the training sets used in the verification method.

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