Rapid Quantitative Determination of Adulteration of Camellia Oil Using Portable Raman Spectroscopy and Chemometrics

Processes, Год журнала: 2025, Номер 13(2), С. 456 - 456

Опубликована: Фев. 8, 2025

Over the past decade, Raman spectroscopy and chemometrics have been extensively utilized in food industry for research development of new products but failed to establish a strong foothold quality control assessment items. To bridge this gap, we introduce novel application capable swiftly identifying free fatty acids (FFAs) cooking oil quantifying adulteration. This advanced method was validated using camellia oil, highly esteemed China various Asian countries known its nutritional richness diverse culinary applications. With growing popularity among high-end consumers Asia, has increasingly become target adulteration, causing dissatisfaction both genuine producers. In study, employed characterize FFA profiles samples, complemented by principal component analysis (PCA) partial least squares-discriminant (PLS-DA) sample categorization adulteration detection oil. By segregating from other vegetable oils differentiating adulterated samples squares (PLS) method, achieved high determination coefficient (R2) over 0.98 low root mean square error prediction (RMSEP) less than 1.45%. These findings offer robust predictive model rapid assessment, potentially augmenting traditional qualitative tests streamlining sampling procedures industry.

Язык: Английский

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Identification of Camellia Oil Adulteration With Excitation-Emission Matrix Fluorescence Spectra and Deep Learning

Journal of Fluorescence, Год журнала: 2025, Номер unknown

Опубликована: Март 10, 2025

Язык: Английский

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Detection Technologies, and Machine Learning in Food: Recent Advances and Future Trends

Food Bioscience, Год журнала: 2024, Номер unknown, С. 105558 - 105558

Опубликована: Ноя. 1, 2024

Язык: Английский

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Rapid identification of horse oil adulteration based on deep learning infrared spectroscopy detection method

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Год журнала: 2024, Номер 330, С. 125604 - 125604

Опубликована: Дек. 31, 2024

Язык: Английский

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