TY  - JOUR
AU  - Lenhardt, Lea
AU  - Zeković, Ivana
AU  - Dramićanin, Tatjana
AU  - Tešić, Živoslav Lj.
AU  - Milojković-Opsenica, Dušanka
AU  - Dramićanin, Miroslav D.
PY  - 2014
UR  - https://cherry.chem.bg.ac.rs/handle/123456789/1662
AB  - In recent years, the potential of Fourier-transform infrared spectroscopy coupled with different chemometric tools in food analysis has been established. This technique is rapid, low cost, and reliable and requires little sample preparation. In this work, 130 Serbian unifloral honey samples (linden, acacia, and sunflower types) were analyzed using attenuated total reflectance infrared spectroscopy (ATR-IR). For each spectrum, 64 scans were recorded in wavenumbers between 4000 and 500 cm(-1) and at a spectral resolution of 4 cm(-1). These spectra were analyzed using principal component analysis (PCA), and calculated principal components were then used for support vector machine (SVM) training. In this way, the pattern-recognition tool is obtained for building a classification model for determining the botanical origin of honey. The PCA was used to analyze results and to see if the separation between groups of different types of honeys exists. Using the SVM, the classification model was built and classification errors were acquired. It has been observed that this technique is adequate for determining the botanical origin of honey with a success rate of 98.6%. Based on these results, it can be concluded that this technique offers many possibilities for future rapid qualitative analysis of honey.
PB  - Iop Publishing Ltd, Bristol
T2  - Physica Scripta
T1  - Authentication of the botanical origin of unifloral honey by infrared spectroscopy coupled with support vector machine algorithm
DO  - 10.1088/0031-8949/2014/T162/014042
ER  - 

@article{
author = "Lenhardt, Lea and Zeković, Ivana and Dramićanin, Tatjana and Tešić, Živoslav Lj. and Milojković-Opsenica, Dušanka and Dramićanin, Miroslav D.",
year = "2014",
abstract = "In recent years, the potential of Fourier-transform infrared spectroscopy coupled with different chemometric tools in food analysis has been established. This technique is rapid, low cost, and reliable and requires little sample preparation. In this work, 130 Serbian unifloral honey samples (linden, acacia, and sunflower types) were analyzed using attenuated total reflectance infrared spectroscopy (ATR-IR). For each spectrum, 64 scans were recorded in wavenumbers between 4000 and 500 cm(-1) and at a spectral resolution of 4 cm(-1). These spectra were analyzed using principal component analysis (PCA), and calculated principal components were then used for support vector machine (SVM) training. In this way, the pattern-recognition tool is obtained for building a classification model for determining the botanical origin of honey. The PCA was used to analyze results and to see if the separation between groups of different types of honeys exists. Using the SVM, the classification model was built and classification errors were acquired. It has been observed that this technique is adequate for determining the botanical origin of honey with a success rate of 98.6%. Based on these results, it can be concluded that this technique offers many possibilities for future rapid qualitative analysis of honey.",
publisher = "Iop Publishing Ltd, Bristol",
journal = "Physica Scripta",
title = "Authentication of the botanical origin of unifloral honey by infrared spectroscopy coupled with support vector machine algorithm",
doi = "10.1088/0031-8949/2014/T162/014042"
}

Lenhardt, L., Zeković, I., Dramićanin, T., Tešić, Ž. Lj., Milojković-Opsenica, D.,& Dramićanin, M. D.. (2014). Authentication of the botanical origin of unifloral honey by infrared spectroscopy coupled with support vector machine algorithm. in Physica Scripta
Iop Publishing Ltd, Bristol..
https://doi.org/10.1088/0031-8949/2014/T162/014042

Lenhardt L, Zeković I, Dramićanin T, Tešić ŽL, Milojković-Opsenica D, Dramićanin MD. Authentication of the botanical origin of unifloral honey by infrared spectroscopy coupled with support vector machine algorithm. in Physica Scripta. 2014;.
doi:10.1088/0031-8949/2014/T162/014042 .

Lenhardt, Lea, Zeković, Ivana, Dramićanin, Tatjana, Tešić, Živoslav Lj., Milojković-Opsenica, Dušanka, Dramićanin, Miroslav D., "Authentication of the botanical origin of unifloral honey by infrared spectroscopy coupled with support vector machine algorithm" in Physica Scripta (2014),
https://doi.org/10.1088/0031-8949/2014/T162/014042 . .