DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Science, Engineering and Technology(IJASEAT)-IJASEAT |
 Journal Home Volume Issue |
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Issue |
Volume-5, Issue-4, Spl. Iss-1 ( Nov, 2017 ) | |||||||||
Paper Title |
Classification of Honey Samples of Isfahan Province with Different Floral Origin by Chemometric Methods | |||||||||
Author Name |
Abolfazl Semnani, Maedeh Sartipzadeh, Shima Ghanavati Nasab, Mohsen Hasani | |||||||||
Affilition |
Department of Chemistry, Faculty of Sciences, University of Shahrekord, P. O. Box 115, Shahrekord, Iran Department of mechanical engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran | |||||||||
Pages |
5-8 | |||||||||
Abstract |
The analytical data of 30 Isfahanian honey samples from five varieties, lotus (7 samples), milk vetch (6 samples), Thyme (6 samples), coriander (6 samples) and citrus (5 samples) collected and physiochemical characteristics according to Codex Alimentarius such as sugar before hydrolysis, sucrose, f/g, pH, acidity, moisture, ash, hydroxyl methyl furfural, electrical conductivity, diastaze activity, solid matter and prolin tested 3 times and average of data calculated. With this data,cannot opine about floral origin of honey, so we use cluster analysis, principal component analysis, linear discriminant analysis, and artificial neural network to classification against honey floral origin by minitab and matlab softwares. Keywords- Honey, Classification, Artificial Neural Network, Linear Discriminant Analysis, Principle Component Analysis. | |||||||||
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