Research Article Open Access

Automatic Identification of Molecules in a Thin-Film Extract Combined with Laser

Theodore Guié Toa Bi1, Sié Ouattara1 and Alain Clement2
  • 1 Houphouet Boigny’s National Polytechnic Institute of Yamoussoukro, Cote D'Ivoire
  • 2 University Institute of Technology Angers (IUT), France
American Journal of Engineering and Applied Sciences
Volume 11 No. 4, 2018, 1209-1219

DOI: https://doi.org/10.3844/ajeassp.2018.1209.1219

Submitted On: 5 September 2018 Published On: 14 November 2018

How to Cite: Toa Bi, T. G., Ouattara, S. & Clement, A. (2018). Automatic Identification of Molecules in a Thin-Film Extract Combined with Laser. American Journal of Engineering and Applied Sciences, 11(4), 1209-1219. https://doi.org/10.3844/ajeassp.2018.1209.1219

Abstract

This paper presents the automation of the thin-layer chromatography technique whose separation and identification of molecules present in a mixture are currently done manually and laboriously. We have therefore found an interest in automating this technique. In this part, the method implemented comprises 2 steps. First we proceeded to the segmentation of the spots obtained on the chromatographic plate. We then developed a program to identify families of molecules such as coumarins, terpenes, tannins, flavonoids, polyphenols, etc. by calculating segmentation parameters such as standard deviation, entropy, mean pixel intensity and frontal ratio from an algorithm on the matlab software. Finally our results have been compared to the results obtained by the traditional identification technique in laboratories. Some similarity between the two results obtained shows the reliability and the robustness of our technique.

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Keywords

  • Automation
  • Chromatography
  • Thin Film
  • Identification
  • Segmentation
  • Standard Deviation
  • Entropy
  • Mean Intensity
  • Frontal Ratio
  • Algorithm
  • Matlab