Verification of 2D Gaussian Model of Concentration on TLC Plate for Image-Based Quantification of Carbohydrates

Thin-layer chromatography (TLC) is a well-known and commonly used technique in synthetic chemistry for identifying compounds and measuring the concentration of a solution, and it is applied not only in basic chemist but also in the fields of biochemists, food analysis and so on. On this technique, operators obtain much information from the results on the plate by evaluating positions and the color of the sample components of the solutions. However, the results depend on the operator because the information is usually evaluated by just only visual assessments. So the accurate measurement for concentrations of solutions can no longer be expected. In order to solve the problem, some authors of this paper proposed a quantification method of the carbohydrate based on the scanned image analysis and its efficacy was confirmed by experiments comparing with the result of the high performance liquid chromatography (HPLC). In this method, color density of each spot was modeled by the 2-dimensional (2D) Gaussian function. In this paper, a dynamical model of the TLC is introduced and the reasonableness of this Gaussian model is verified by both numerical and experimental results