ArticlePloS one2022
Analysis and prediction of the major fatty acids in vegetable oils using dielectric spectroscopy at 5-30 MHz.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 17 citations in OpenAlex.
- Toxic aldehydes in cooking vegetable oils: Generation, toxicity and disposal methods.Food chemistry: X · 2025Review
- Characterization of Vegetable Oils for Direct Use in Polyurethane-Based Adhesives: Physicochemical and Compatibility Assessment.Materials (Basel, Switzerland) · 2025Article
- Behavior at Air/Water Interface and Oxidative Stability of Vegetable Oils Analyzed Through Langmuir Monolayer Technique.Molecules (Basel, Switzerland) · 2025Article
- Permeability-Enhancing and Protective Effect on Small Intestine of Punicic Acid in Different Forms and Their Nanoemulsions With Low Toxicity.International journal of nanomedicine · 2025Article
- High oleic soybean oil maintains milk fat and increases apparent total-tract fat digestibility and fat deposition in lactating dairy cows.JDS communications · 2024Article
- Characterizing Edible Oils by Oblique-Incidence Reflectivity Difference Combined with Machine Learning Algorithms.Foods (Basel, Switzerland) · 2024Article
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A dielectric spectroscopy method was applied to determine major fatty acids composition in vegetable oils. Dielectric constants of vegetable oils were measured in the frequency range of 5-30 MHz. After data pre-treatment, prediction models were constructed using partial least squares (PLS) regression between dielectric spectral values and the fatty acids compositions measured by gas chromatography. Generally, the root means square error of validation (RMSECV) was less than 11.23% in the prediction of individual fatty acids. The determination coefficient (R2) between predicted and measured oleic, linoleic, mono-unsaturated, and poly-unsaturated fatty acids were 0.84, 0.77, 0.84, and 0.84, respectively. These results indicated that dielectric spectroscopy coupled with PLS regression could be a promising method for predicting major fatty acid composition in vegetable oils and has the potential to be used for in-situ monitoring systems of daily consumption of dietary fatty acids.
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