Acquisition of Images by the Analysis of the Automatic Identification of Molecules in a Thin-film Extract Combined with Laser

Theodore Guié Toa Bi¹, Sié Ouattara^1, and Alain Clement²

¹URMI Electronique et Electricité Appliquées, Institut National Polytechnique Felix Houphouët-Boigny (INP-HB), BP 1093 Yamoussoukro, Côte d’Ivoire

²Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Institut Universitaire de Technologie (IUT) / Université d’Angers, 4 Boulevard Lavoisier - BP 42018 - 49016 - ANGERS, France

Cite this paper:
Theodore Guié Toa Bi, Sié Ouattara and Alain Clement. Acquisition of Images by the Analysis of the Automatic Identification of Molecules in a Thin-film Extract Combined with Laser. Journal of Materials Physics and Chemistry. 2018; 6(1):29-35. doi: 10.12691/jmpc-6-1-5

Abstract

This paper presents the first part of the automation of the thin layer chromatography technique whose separation and identification of molecules present in a mixture are currently done manually and laboriously [1]. We have therefore found an interest in automating this technique. In this part, the method implemented comprises 2 steps. Firstly the preparation of the extracts and the acquisition of the images of the spots (the spots are obtained after migration of the mixture on the plate) on the chromatographic plate, secondly the calculation of the frontal report from an algorithm via the software Matlab families of molecules (coumarin, terpene, tannin, flavonoid, polyphenol, etc.). The values of the frontal ratios obtained were compared with the values of the frontal ratios obtained by the manual calculation made in the laboratories. The results of this comparison showed a correlation between these two methods. The values of the frontal ratios are substantially identical.

Keywords:
automation chromatography thin film identification acquisition algorithm frontal report

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