HPTLC is one of the most widely applied methods in phytochemical analysis. It is due to its numerous advantages, e.g., it is the only chromatographic method offering the option of presenting the results as an image. Other advantages include simplicity, low costs, parallel analysis of samples, high sample capacity, rapidly obtained results, and possibility of multiple detection. HPTLC provides identification as well as quantitative results. It also enables the identification of adulterants. In case of complex samples, the resolving power of traditional one-dimensional chromatography is usually inadequate, hence special modes of development are required. Multidimensional and multimodal HPTLC techniques include those realized in one direction (UMD, IMD, GMD, BMD, AMD) as well as typical two-dimensional methods realized on mono-or bi-layers. In this manuscript, an overview on variable multidimensional and multimodal methods, applied in the analysis of phytochemical samples, is presented. © 2011 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Ciesla, L., & Waksmundzka-Hajnos, M. (2011). Multidimensional and multimodal separations by HPTLC in phytochemistry. In High-Performance Thin-Layer Chromatography (HPTLC) (pp. 69–92). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-14025-9_5
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