TY  - JOUR
AU  - Lenhardt, Lea I.
AU  - Bro, Rasmus
AU  - Zeković, Ivana Lj.
AU  - Dramićanin, Tatjana
AU  - Dramićanin, Miroslav
PY  - 2015
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/382
AB  - Fluorescence spectroscopy coupled with parallel factor analysis (PARAFAC) and Partial least squares Discriminant Analysis (PLS DA) were used for characterization and classification of honey. Excitation emission spectra were obtained for 95 honey samples of different botanical origin (acacia, sunflower, linden, meadow, and fake honey) by recording emission from 270 to 640 nm with excitation in the range of 240-500 nm. The number of fluorophores present in honey, excitation and emission spectra of each fluorophore, and their relative concentration are determined using a six-component PARAFAC model. Emissions from phenolic compounds and Maillard reaction products exhibited the largest difference among classes of honey of different botanical origin. The PLS DA classification model, constructed from PARAFAC model scores, detected fake honey samples with 100% sensitivity and specificity. Honey samples were also classified using PLS DA with errors of 0.5% for linden, 10% for acacia, and about 20% for both sunflower and meadow mix. (c) 2014 Elsevier Ltd. All rights reserved.
T2  - Food Chemistry
T1  - Fluorescence spectroscopy coupled with PARAFAC and PLS DA for characterization and classification of honey
VL  - 175
SP  - 284
EP  - 291
DO  - 10.1016/j.foodchem.2014.11.162
ER  - 

@article{
author = "Lenhardt, Lea I. and Bro, Rasmus and Zeković, Ivana Lj. and Dramićanin, Tatjana and Dramićanin, Miroslav",
year = "2015",
abstract = "Fluorescence spectroscopy coupled with parallel factor analysis (PARAFAC) and Partial least squares Discriminant Analysis (PLS DA) were used for characterization and classification of honey. Excitation emission spectra were obtained for 95 honey samples of different botanical origin (acacia, sunflower, linden, meadow, and fake honey) by recording emission from 270 to 640 nm with excitation in the range of 240-500 nm. The number of fluorophores present in honey, excitation and emission spectra of each fluorophore, and their relative concentration are determined using a six-component PARAFAC model. Emissions from phenolic compounds and Maillard reaction products exhibited the largest difference among classes of honey of different botanical origin. The PLS DA classification model, constructed from PARAFAC model scores, detected fake honey samples with 100% sensitivity and specificity. Honey samples were also classified using PLS DA with errors of 0.5% for linden, 10% for acacia, and about 20% for both sunflower and meadow mix. (c) 2014 Elsevier Ltd. All rights reserved.",
journal = "Food Chemistry",
title = "Fluorescence spectroscopy coupled with PARAFAC and PLS DA for characterization and classification of honey",
volume = "175",
pages = "284-291",
doi = "10.1016/j.foodchem.2014.11.162"
}

Lenhardt, L. I., Bro, R., Zeković, I. Lj., Dramićanin, T.,& Dramićanin, M.. (2015). Fluorescence spectroscopy coupled with PARAFAC and PLS DA for characterization and classification of honey. in Food Chemistry, 175, 284-291.
https://doi.org/10.1016/j.foodchem.2014.11.162

Lenhardt LI, Bro R, Zeković IL, Dramićanin T, Dramićanin M. Fluorescence spectroscopy coupled with PARAFAC and PLS DA for characterization and classification of honey. in Food Chemistry. 2015;175:284-291.
doi:10.1016/j.foodchem.2014.11.162 .

Lenhardt, Lea I., Bro, Rasmus, Zeković, Ivana Lj., Dramićanin, Tatjana, Dramićanin, Miroslav, "Fluorescence spectroscopy coupled with PARAFAC and PLS DA for characterization and classification of honey" in Food Chemistry, 175 (2015):284-291,
https://doi.org/10.1016/j.foodchem.2014.11.162 . .

TY  - JOUR
AU  - Lenhardt, Lea I.
AU  - Zeković, Ivana Lj.
AU  - Dramićanin, Tatjana
AU  - Dramićanin, Miroslav
AU  - Bro, Rasmus
PY  - 2014
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/5981
AB  - Front-face synchronous fluorescence spectroscopy combined with chemometrics is used to classify honey samples according to their botanical origin. Synchronous fluorescence spectra of three monofloral (linden, sunflower, and acacia), polyfloral (meadow mix), and fake (fake acacia and linden) honey types (109 samples) were collected in an excitation range of 240-500 nm for synchronous wavelength intervals of 30-300 nm. Chemometric analysis of the gathered data included principal component analysis and partial least squares discriminant analysis. Mean cross-validated classification errors of 0.2 and 4.8% were found for a model that accounts only for monofloral samples and for a model that includes both the monofloral and polyfloral groups, respectively. The results demonstrate that single synchronous fluorescence spectra of different honeys differ significantly because of their distinct physical and chemical characteristics and provide sufficient data for the clear differentiation among honey groups. The spectra of fake honey samples showed pronounced differences from those of genuine honey, and these samples are easily recognized on the basis of their synchronous fluorescence spectra. The study demonstrated that this method is a valuable and promising technique for honey authentication.
T2  - Applied Spectroscopy
T1  - Determination of the Botanical Origin of Honey by Front-Face Synchronous Fluorescence Spectroscopy
VL  - 68
IS  - 5
SP  - 557
EP  - 563
DO  - 10.1366/13-07325
ER  - 

@article{
author = "Lenhardt, Lea I. and Zeković, Ivana Lj. and Dramićanin, Tatjana and Dramićanin, Miroslav and Bro, Rasmus",
year = "2014",
abstract = "Front-face synchronous fluorescence spectroscopy combined with chemometrics is used to classify honey samples according to their botanical origin. Synchronous fluorescence spectra of three monofloral (linden, sunflower, and acacia), polyfloral (meadow mix), and fake (fake acacia and linden) honey types (109 samples) were collected in an excitation range of 240-500 nm for synchronous wavelength intervals of 30-300 nm. Chemometric analysis of the gathered data included principal component analysis and partial least squares discriminant analysis. Mean cross-validated classification errors of 0.2 and 4.8% were found for a model that accounts only for monofloral samples and for a model that includes both the monofloral and polyfloral groups, respectively. The results demonstrate that single synchronous fluorescence spectra of different honeys differ significantly because of their distinct physical and chemical characteristics and provide sufficient data for the clear differentiation among honey groups. The spectra of fake honey samples showed pronounced differences from those of genuine honey, and these samples are easily recognized on the basis of their synchronous fluorescence spectra. The study demonstrated that this method is a valuable and promising technique for honey authentication.",
journal = "Applied Spectroscopy",
title = "Determination of the Botanical Origin of Honey by Front-Face Synchronous Fluorescence Spectroscopy",
volume = "68",
number = "5",
pages = "557-563",
doi = "10.1366/13-07325"
}

Lenhardt, L. I., Zeković, I. Lj., Dramićanin, T., Dramićanin, M.,& Bro, R.. (2014). Determination of the Botanical Origin of Honey by Front-Face Synchronous Fluorescence Spectroscopy. in Applied Spectroscopy, 68(5), 557-563.
https://doi.org/10.1366/13-07325

Lenhardt LI, Zeković IL, Dramićanin T, Dramićanin M, Bro R. Determination of the Botanical Origin of Honey by Front-Face Synchronous Fluorescence Spectroscopy. in Applied Spectroscopy. 2014;68(5):557-563.
doi:10.1366/13-07325 .

Lenhardt, Lea I., Zeković, Ivana Lj., Dramićanin, Tatjana, Dramićanin, Miroslav, Bro, Rasmus, "Determination of the Botanical Origin of Honey by Front-Face Synchronous Fluorescence Spectroscopy" in Applied Spectroscopy, 68, no. 5 (2014):557-563,
https://doi.org/10.1366/13-07325 . .