2000
DOI: 10.1093/jaoac/83.6.1435
|View full text |Cite
|
Sign up to set email alerts
|

Fluorescence Spectra Measurement of Olive Oil and Other Vegetable Oils

Abstract: Fluorescence spectra of some common vegetable oils, including olive oil, olive residue oil, refined olive oil, corn oil, soybean oil, sunflower oil, and cotton oil, were examined in their natural state, with a wavelength of 360 nm used as excitation radiation. All oils studied, except extra virgin olive oil, exhibited a strong fluorescence band at 430–450 nm. Extra virgin olive oil gave a different by interesting fluorescence spectrum, composed of 3 bands: one low intensity doublet at 440 and 455 nm, one stron… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

10
93
0

Year Published

2001
2001
2020
2020

Publication Types

Select...
5
2
1

Relationship

0
8

Authors

Journals

citations
Cited by 144 publications
(109 citation statements)
references
References 0 publications
10
93
0
Order By: Relevance
“…2 and 4) is probably the result of the reaction between radicals after HOaddition. Molecules formed in an electronic excited state (L = O * ) interacted with the fluorescence molecules present in low concentration in the oils [32][33][34][35][36][37]. As a result, various levels of CL were observed in non-oxidized oils.…”
Section: Discussionmentioning
confidence: 99%
“…2 and 4) is probably the result of the reaction between radicals after HOaddition. Molecules formed in an electronic excited state (L = O * ) interacted with the fluorescence molecules present in low concentration in the oils [32][33][34][35][36][37]. As a result, various levels of CL were observed in non-oxidized oils.…”
Section: Discussionmentioning
confidence: 99%
“…For each PARAFAC model, it was determined that the convergence criteria with respect to tolerance criteria were met. The optimum number of components was determined by building 10 PARAFAC models, each having a different number of components (1)(2)(3)(4)(5)(6)(7)(8)(9)(10), and the optimum model was determined using split-half analysis. Each PARAFAC model was replicated ten-fold, in order to ascertain true convergence.…”
Section: The Parafac Modelmentioning
confidence: 99%
“…For DN-PLS analysis the data were prepared in a similar fashion as for PARAFAC; however, only the regions between 270 and 510 nm (excitation) and 290 and 575 nm (emission) were used. The optimum number of components was determined by building 15 DN-PLS models, each having a different number of components (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15), and the optimum model was determined using the prediction accuracy and RMSE error of both the calibration and validation models. Validation of the model was carried out using Venetian blinds cross-validation, which selects every sth sample from the data by making s data splits such that all samples are left out exactly once (s = 3).…”
Section: Discriminant Multi-way Partial Least Squares Regression (Dn-mentioning
confidence: 99%
See 1 more Smart Citation
“…Although fluorescence detection offers some major advantages over UV detection in terms of enhanced selectivity and sensitivity, not all the phenolic compounds found in food fluoresce (Lee, 2000). The ability of olive oil to emit fluorescence has been proposed as a method to identify this oil from other vegetable oils (Kyriakidis & Skarkalis, 2000), analysis of phenolic compounds in olive fruit by using fluorescence detection has also been reported (Ryan et al ., 1999), but there is only one paper reporting the analysis of some cinnamic acids in olive oils (Cartoni et al ., 2000).…”
Section: Introductionmentioning
confidence: 99%