Characterizing Edible Oils by Oblique-Incidence Reflectivity Difference Combined with Machine Learning Algorithms
Abstract
:1. Introduction
2. Materials and Methods
3. Results and Discussions
4. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Types of Edible Oils | Oil 1 | Oil 2 | Oil 3 | Oil 4 | Oil 5 |
---|---|---|---|---|---|
corn oil | corn oil 1 | corn oil 2 | corn oil 3 | corn oil 4 | corn oil 5 |
olive oil | olive oil 1 | olive oil 2 | olive oil 3 | olive oil 4 | olive oil 5 |
peanut oil | peanut oil 1 | peanut oil 2 | peanut oil 3 | peanut oil 4 | peanut oil 5 |
rapeseed oil | rapeseed oil 1 | rapeseed oil 2 | rapeseed oil 3 | rapeseed oil 4 | rapeseed oil 5 |
soybean oil | soybean oil 1 | soybean oil 2 | soybean oil 3 | soybean oil 4 | soybean oil 5 |
Reference Table for the Fatty Acid Content in Edible Oils (%) | ||||
---|---|---|---|---|
Edible Oils | Saturated Fatty Acids | Monounsaturated Fatty Acids | Polyunsaturated Fatty Acids | |
Oleic Acid (Ω-9) | Linoleic Acid (Ω-6) | Alpha-Linolenic Acid (Ω-3) | ||
corn oil | 10–13 | 20–25 | 50–60 | 4–6 |
olive oil | 9–11 | 67–75 | 10–15 | 0–3 |
peanut oil | 17–18 | 30–40 | 30–40 | 0–3 |
rapseed oil | 5–10 | 40–60 | 10–20 | 5–8 |
soybean oil | 10–13 | 20–25 | 55–60 | 4–6 |
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Sun, X.; Hu, Y.; Liu, C.; Zhang, S.; Yan, S.; Liu, X.; Zhao, K. Characterizing Edible Oils by Oblique-Incidence Reflectivity Difference Combined with Machine Learning Algorithms. Foods 2024, 13, 1420. https://doi.org/10.3390/foods13091420
Sun X, Hu Y, Liu C, Zhang S, Yan S, Liu X, Zhao K. Characterizing Edible Oils by Oblique-Incidence Reflectivity Difference Combined with Machine Learning Algorithms. Foods. 2024; 13(9):1420. https://doi.org/10.3390/foods13091420
Chicago/Turabian StyleSun, Xiaorong, Yiran Hu, Cuiling Liu, Shanzhe Zhang, Sining Yan, Xuecong Liu, and Kun Zhao. 2024. "Characterizing Edible Oils by Oblique-Incidence Reflectivity Difference Combined with Machine Learning Algorithms" Foods 13, no. 9: 1420. https://doi.org/10.3390/foods13091420