Authors
Aidil Fahmi Shadan, Naji A Mahat, Wan Aini Wan Ibrahim, Zaiton Ariffin, Dzulkiflee Ismail
Publication date
2018/1
Journal
Journal of Forensic Sciences
Volume
63
Issue
1
Pages
80-85
Description
As consumption of stingless bee honey has been gaining popularity in many countries including Malaysia, ability to identify accurately its geographical origin proves pertinent for investigating fraudulent activities for consumer protection. Because a chemical signature can be location‐specific, multi‐element distribution patterns may prove useful for provenancing such product. Using the inductively coupled‐plasma optical emission spectrometer as well as principal component analysis (PCA) and linear discriminant analysis (LDA), the distributions of multi‐elements in stingless bee honey collected at four different geographical locations (North, West, East, and South) in Johor, Malaysia, were investigated. While cross‐validation using PCA demonstrated 87.0% correct classification rate, the same was improved (96.2%) with the use of LDA, indicating that discrimination was possible for the different geographical …
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