الفهرس 
AcknowledgmentOnly 14 pages are availabe for public view
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Abstract
An integrated method for standardization of propolis using chromatographic, spectroscopic,
palynological and biological analyses was implemented in this study. Digitally-enhanced HPTLC
images using dual visualization approach with four image analysis software packages adopting
different digitalization algorithms were comparatively evaluated i.e.; Sorbfil TLC View®,
ImageJ®, JustTLC® and Gel Analyzer®. ImageJ® and Gel Analyzer® showed superior figures
of merits in case of flavonoids and phenolic acids quantitation, respectively. Unsupervised and
supervised multivariable pattern recognition models were constructed for comprehensive
discrimination between the three propolis types (blue, orange and green) collected from various
geographical locations worldwide. HPTLC-ESI-MS was utilized for precise identification of the
discriminatory phytoconstituents. Fingerprint-efficacy relationship analysis was conducted via an
Orthogonal Projection to Latent Structure multivariate model to unravel the bio-efficient markers
in terms of α-glucosidase and α-amylase inhibition as main targets. 3,4-Dimethoxycinnamic acid,
caffeic acid, isoferulic acid, rosmarinic acid, and quercetin were found to be the main healthrelevant
markers. A complementary fast,