Profiling of Australian Stingless Bee Honey Using Multivariate Data Analysis of High-Performance Thin-Layer Chromatography Fingerprints

Profiling of Australian Stingless Bee Honey Using Multivariate Data Analysis of High-Performance Thin-Layer Chromatography Fingerprints

The complex chemical composition of honey presents significant challenges for its analysis with variations influenced by factors such as botanical source, geographical location, bee species, harvest time, and storage conditions. This study aimed to employ high-performance thin-layer chromatography (...

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Bibliographic Details
Main Authors: Mariana Mello dos Santos, Christina Jacobs, Kevin Vinsen, Md Khairul Islam, Tomislav Sostaric, Lee Yong Lim, Cornelia Locher
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Chemosensors
Subjects:
high-performance thin-layer chromatography (HPTLC)
stingless bee honey
Australia
multivariate data analysis
fingerprint
chemometrics
Online Access:https://www.mdpi.com/2227-9040/13/2/30

Internet

https://www.mdpi.com/2227-9040/13/2/30

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