Multivariate Modeling for Quantifying Adulteration of Sunflower Oil with Low Level of Safflower Oil Using ATR-FTIR, UV-Visible, and Fluorescence Spectroscopies: A Comparative Approach

Multivariate Modeling for Quantifying Adulteration of Sunflower Oil with Low Level of Safflower Oil Using ATR-FTIR, UV-Visible, and Fluorescence Spectroscopies: A Comparative Approach

For the first time, a quick and simple analytical method was developed for the discrimination and the quantification of low level (

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Bibliographische Detailangaben
Veröffentlicht in:Food analytical methods 2021-02, Vol.14 (2), p.361-371
Hauptverfasser: Tarhan, İsmail, Bakır, Muhammed Raşit, Kalkan, Oktay, Kara, Hüseyin
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Analytical Chemistry
Calibration
Chemistry
Chemistry and Materials Science
Chemistry/Food Science
Fluorescence
Food Science
Fourier analysis
Fourier transforms
Infrared spectroscopy
Low level
Mean square errors
Mean square values
Microbiology
Model accuracy
Multivariate analysis
Principal components analysis
Regression analysis
Regression models
Root-mean-square errors
Safflower oil
Spectra
Spectroscopy
Spectrum analysis
Statistical analysis
Statistical methods
Sunflower oil
Sunflowers
Vegetable oils
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Zusammenfassung:For the first time, a quick and simple analytical method was developed for the discrimination and the quantification of low level (
ISSN:1936-9751
1936-976X
DOI:10.1007/s12161-020-01891-4