نویسندگان | Andrew Atiogbe Huzortey,Abbas Aref,Benjamin Anderson,Hossein Khadem,Samuel Sonko Sackey,الهه محمودی خالدی,Seyed Hassan Tavassoli |
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نشریه | FOOD ANAL METHOD |
شماره صفحات | 772 |
شماره مجلد | 15 |
ضریب تاثیر (IF) | ثبت نشده |
نوع مقاله | Full Paper |
تاریخ انتشار | 2021-11-05 |
رتبه نشریه | علمی - پژوهشی |
نوع نشریه | الکترونیکی |
کشور محل چاپ | ایران |
نمایه نشریه | SCOPUS ,JCR |
چکیده مقاله
Bees depend on the nectar from flora for the production of honey. Different flora produces unique nectar with varying compositions resulting in almost unlimited varieties in honey. In this work, we have used the 532-nm laser-induced Raman spectroscopic technique, for the first time, to study honey varieties from Iran. The Raman spectra of different kinds of com- mercial honey samples were obtained using a bench-top Raman microscope. The Raman spectral band intensities improved after activated charcoal pretreatment of the honey samples. The bands of the spectra compared well with molecular designa- tion from literature. Using both supervised and unsupervised multivariate techniques, it was possible to classify and develop models capable of predicting the different kinds of honey while also establishing critical wavelengths that characterise them. This work has been able to provide baseline Raman spectroscopic data and procedure to promote the use of 532-nm laser- induced Raman spectroscopic technique with multivariate methods for the cost-effective analysis of floral honey from Iran.
tags: Raman spectroscopy · 532-nm laser excitation · Iranian honey · Fluorescence reduction · Multivariate analysis