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VIS SPECTROSCOPY-BASED CHEMOMETRIC ANALYSIS OF HONEY WITH RESPECT TO DISCRIMINATION OF ITS BOTANICAL ORIGIN.
- Source :
-
Annals of the Faculty of Engineering Hunedoara - International Journal of Engineering . Nov2015, Vol. 13 Issue 4, p275-279. 5p. - Publication Year :
- 2015
-
Abstract
- The aim of the article is to investigate the potential of honey discrimination (on the base of its botanical origins) by Vis spectroscopy and chemometric analysis. Fifty-five samples from three types of honey (acacia, linden, and honeydew) are measured by a spectrophotometer "Helios Omega" with recorded wavelength range of 380~780 nm for calibration of honey classifier. Firstly, principal components analysis (PCA) is used for reducing the number of inputs and for a proper visualization of the experimental results. Next, the first two principal components (PCs) are combined separately with k-means clustering (KMC), Naïve Bayes classification (NBC), and linear and quadratic discriminant analysis (LDA, QDA) to develop PC-KMC, PC-NBC, PC-LDA and PC-QDA models, respectively. The comparative analysis of the four classifiers is based on leave-one-out-cross validation test carried out in MATLAB environment. [ABSTRACT FROM AUTHOR]
- Subjects :
- *SPECTROPHOTOMETERS
*PRINCIPAL components analysis
*STATISTICAL correlation
Subjects
Details
- Language :
- English
- ISSN :
- 15842665
- Volume :
- 13
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Annals of the Faculty of Engineering Hunedoara - International Journal of Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 110907322