Accéder directement au contenu Accéder directement à la navigation
Nouvelle interface
Article dans une revue

Method of Estimation of Chemical Compounds of a Solution by Analysis of Video Images of Titration from a Semi-Automatic Approach

Abstract : To titrate or measure a chemical species in a solution is to estimate its quan- tity of matter or its molar concentration in a given solution. Several methods of estimating molar concentrations of chemical species exist, the main ones being Colorimetric titration, Conductimetric titration, pH metric titration. In practice, all these methods present approximative results because the operator repeats the experiment to ensure the reliability of the results. As a conse- quence, we have a prolonged time of the experiment which involves a cost in reagents. Given the repetitions of the same experiment, the final result is the average of the results of each experiment. The aim of this paper is to correct this subjectivity by implementing a semi-automatic approach based on colo- rimetric titration. At the end of the implementation of our approach, we compared our results to those of existing techniques. These results show the reliability of the calculation by the semi-automatic method. This method of estimating the volume at equivalence is fast because it is not manual and does not involve the use of geometric measuring instruments to find the volume at equivalence. This method improves the manual calculation of the volume at equivalence used in the laboratories in school and student environment.
Liste complète des métadonnées

https://hal.univ-angers.fr/hal-03713264
Contributeur : ALAIN CLEMENT Connectez-vous pour contacter le contributeur
Soumis le : lundi 4 juillet 2022 - 15:19:33
Dernière modification le : lundi 14 novembre 2022 - 02:46:05

Lien texte intégral

Identifiants

Collections

Citation

Marcelin Sandje, Sié Ouattara, Diako Doffou Jerome, Alain Clément. Method of Estimation of Chemical Compounds of a Solution by Analysis of Video Images of Titration from a Semi-Automatic Approach. Open Journal of Applied Sciences, 2022, 12 (6), pp.1069-1082. ⟨10.4236/ojapps.2022.126073⟩. ⟨hal-03713264⟩

Partager

Métriques

Consultations de la notice

12