Authentication of the botanical origin of unifloral honey by infrared spectroscopy coupled with support vector machine algorithm
No Thumbnail
Authors
Lenhardt, Lea I.Zeković, Ivana Lj.
Dramićanin, Tatjana
Tešić, Živoslav
Milojković-Opsenica, Dušanka M.
Dramićanin, Miroslav
Article (Published version)
Metadata
Show full item recordAbstract
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.
Keywords:
honey / SVM / infrared spectroscopy / multivariate analysisSource:
Physica Scripta, 2014, T162Funding / projects:
- Materials of Reduced Dimensions for Efficient Light Harvesting and Energy conversion (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-45020)
Note:
- 4th International School and Conference on Photonics, Aug 26-30, 2013, Belgrade, Serbia
DOI: 10.1088/0031-8949/2014/T162/014042
ISSN: 0031-8949; 1402-4896
WoS: 000349832200043
Scopus: 2-s2.0-84907286528
Collections
Institution/Community
VinčaTY - JOUR AU - Lenhardt, Lea I. AU - Zeković, Ivana Lj. AU - Dramićanin, Tatjana AU - Tešić, Živoslav AU - Milojković-Opsenica, Dušanka M. AU - Dramićanin, Miroslav PY - 2014 UR - https://vinar.vin.bg.ac.rs/handle/123456789/7065 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. T2 - Physica Scripta T1 - Authentication of the botanical origin of unifloral honey by infrared spectroscopy coupled with support vector machine algorithm VL - T162 DO - 10.1088/0031-8949/2014/T162/014042 ER -
@article{ author = "Lenhardt, Lea I. and Zeković, Ivana Lj. and Dramićanin, Tatjana and Tešić, Živoslav and Milojković-Opsenica, Dušanka M. and Dramićanin, Miroslav", 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.", journal = "Physica Scripta", title = "Authentication of the botanical origin of unifloral honey by infrared spectroscopy coupled with support vector machine algorithm", volume = "T162", doi = "10.1088/0031-8949/2014/T162/014042" }
Lenhardt, L. I., Zeković, I. Lj., Dramićanin, T., Tešić, Ž., Milojković-Opsenica, D. M.,& Dramićanin, M.. (2014). Authentication of the botanical origin of unifloral honey by infrared spectroscopy coupled with support vector machine algorithm. in Physica Scripta, T162. https://doi.org/10.1088/0031-8949/2014/T162/014042
Lenhardt LI, Zeković IL, Dramićanin T, Tešić Ž, Milojković-Opsenica DM, Dramićanin M. Authentication of the botanical origin of unifloral honey by infrared spectroscopy coupled with support vector machine algorithm. in Physica Scripta. 2014;T162. doi:10.1088/0031-8949/2014/T162/014042 .
Lenhardt, Lea I., Zeković, Ivana Lj., Dramićanin, Tatjana, Tešić, Živoslav, Milojković-Opsenica, Dušanka M., Dramićanin, Miroslav, "Authentication of the botanical origin of unifloral honey by infrared spectroscopy coupled with support vector machine algorithm" in Physica Scripta, T162 (2014), https://doi.org/10.1088/0031-8949/2014/T162/014042 . .