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 (...

תיאור מלא

מידע ביבליוגרפי
Main Authors: Mariana Mello dos Santos, Christina Jacobs, Kevin Vinsen, Md Khairul Islam, Tomislav Sostaric, Lee Yong Lim, Cornelia Locher
פורמט: Article
שפה:English
יצא לאור: MDPI AG 2025-01-01
סדרה:Chemosensors
נושאים:
high-performance thin-layer chromatography (HPTLC)
stingless bee honey
Australia
multivariate data analysis
fingerprint
chemometrics
גישה מקוונת:https://www.mdpi.com/2227-9040/13/2/30

אינטרנט

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

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