Authenticity Discrimination and Adulteration Level Detection of Camellia Seed Oil via Hyperspectral Imaging Technology
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12161-024-02577-x.pdf
Reference28 articles.
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2. Choi JY, Moon KD (2020) Non-destructive discrimination of sesame oils via hyperspectral image analysis. J Food Compost Anal 90. https://doi.org/10.1016/J.JFCA.2020.103505
3. Covaciu FD, Berghian-Grosan C, Feher I, Magdas DA (2020) Edible oils differentiation based on the determination of fatty acids profile and raman spectroscopy—a case study. Appl Sci 10(23):1–20. https://doi.org/10.3390/APP10238347
4. Dou X, Zhang L, Chen Z, Wang X, Ma F, Yu L, Mao J, Li P (2023) Establishment and evaluation of multiple adulteration detection of camellia oil by mixture design. Food Chem 406. https://doi.org/10.1016/J.FOODCHEM.2022.135050
5. Ebrahiema A, Helene N, Lembe S, Jean F, Olaniyi A (2021) Recent advancements on vibrational spectroscopic techniques for the detection of authenticity and adulteration in horticultural products with a specific focus on oils, juices and powders. Food Bioproc Tech 14:1–22. https://doi.org/10.1007/s11947-020-02505-x
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