Application of HPTLC Multiwavelength Imaging and Color Scale Fingerprinting Approach Combined with Multivariate Chemometric Methods for Medicinal Plant Clustering According to Their Species.

Simona Codruța Aurora Cobzac,Dorina Casoni,Neli Kinga Olah

doi:10.3390/molecules26237225

Simona Codruța Aurora Cobzac, Dorina Casoni + Show 1 more

Open Access

https://doi.org/10.3390/molecules26237225

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Abstract

In the current study, multiwavelength detection combined with color scales HPTLC fingerprinting procedure and chemometric approach were applied for direct clustering of a set of medicinal plants with different geographical growing areas. The fingerprints profiles of the hydroalcoholic extracts obtained after single and double development and detection under 254 nm and 365 nm, before and after selective spraying with specific derivatization reagents were evaluated by chemometric approaches. Principal component analysis (PCA) with factor analysis (FA) methods were used to reveal the contribution of red (R), green (G), blue (B) and, respectively, gray (K) color scale fingerprints to HPTLC classification of the analyzed samples. Hierarchical cluster analysis (HCA) was used to classify the medicinal plants based on measure of similarity of color scale fingerprint patterns. The 1-Pearson distance measurement with Ward’s amalgamation procedure proved to be the most convenient approach for the correct clustering of samples. Data from color scale fingerprints obtained for double development procedure and multiple visualization modes combined with appropriate chemometric methods proved to detect the similar medicinal plant extracts even though they are from different geographical regions, have different storage conditions and no specific markers are individually extracted. This approach could be proposed as a promising tool for authentication and identification studies of plant materials based on HPTLC fingerprinting analysis.

Highlights

The medicinal plants consumed preferably as teas or tinctures have a long and rich history regarding their usage as therapeutics
The advantages of the use oof mmuullttiwavelength imaging and color scale high-performance thin layer chromatography (HPTLC) fifingerprints for clustering of medicinal plants extracts were evaluated by chemometric appprrooaacchheess..TThheecocommpplelmemenetnatrayryinifnofromrmatiaotniofnrofmrodmoudboluebdlevdeelovpemloepnmt eonf thoefptlhaetepcloamtebcinoemdbined with the UV 365 nm detection was revealed to better characterize the chemical profile of samples
The advantages of double development of the plate and significant contribution of each of the color scale fingerprints on the characterization of the chemical profile of complex samples was revealed by use of with the UV 365 nm detection was revealed to better characterize the chemical profile of samples

Summary

Introduction

The medicinal plants consumed preferably as teas or tinctures have a long and rich history regarding their usage as therapeutics. According to the World Health Organization (WHO) report, in the last decades the interest of population for herbs as a replacement for new innovative drugs has growth considerably due to their lack of side effects and toxicity. According to the British National Formulary, nowadays, 56% of the new therapeutics are started from natural products [1,2,3] and many herbs are considered a source of natural ingredients used to enhance the aroma, flavor or color of the food, and more importantly, to prevent lipid oxidation and contribute to food preservation [1,4]. The plants can be used entirely or just some vegetative parts. The microscopic analyses of some specific organs and cell constituents could be very helpful and usually are completed by comprehensive fingerprinting approaches

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