Developing a new empirical-computational method, for accurate acid-base quantitative analysis

الملخص EN

The mole ratio of an acid base reaction is one of the important values to state the stoichiometric relationship between acids and bases.

However, solving acid-base problems based on stoichiometry is still challenging for new chemists.

This issue renders the use of a model for predicting the volume of the acid used an exciting endeavour in academia.

This work was to study the individual and interactive effects of the titration parameters such as acid concentration, base concentration and the number of the indicatordrops on the volume of acid used in the titration process, using methyl orange as an indicator.

We also aimed to study the central composite design (CCD) model of response surface methodology (RSM) for experimental design and modelling of the process.

The experimental data were analysed using analysis of variance (ANOVA) and fitted to a second-order polynomial equation using multiple regression analysis.

The regression analysis showed a good fit of the experimental data to the second-order polynomial modelwith a coefficient of determination (R2) value of 0.9751 and model F-value of 43.37.

The response surface and contour plots were generated from RSM tool for the interactive effects of the studied parameters on the volume of acid used.

The developed model wasfurther validated using existing acid-base titration problems from the Senior Secondary Certificate Examination (SSCE) past questions over 30 years.

All observations indicated that the developed model was only valid for a monobasic The mole ratio of an acid base reaction is one of the important values to state the stoichiometric relationship between acids and bases.

However, solving acid-base problems based on stoichiometry is still challenging for new chemists.

This issue renders the use of a model for predicting the volume of the acid used an exciting endeavour in academia.

This work was to study the individual and interactive effects of the titration parameters such as acid concentration, base concentration and the number of the indicatordrops on the volume of acid used in the titration process, using methyl orange as an indicator.

We also aimed to study the central composite design (CCD) model of response surface methodology (RSM) for experimental design and modelling of the process.

The experimental data were analysed using analysis of variance (ANOVA) and fitted to a second-order polynomial equation using multiple regression analysis.

The regression analysis showed a good fit of the experimental data to the second-order polynomial modelwith a coefficient of determination (R2) value of 0.9751 and model F-value of 43.37.

The response surface and contour plots were generated from RSM tool for the interactive effects of the studied parameters on the volume of acid used.

The developed model wasfurther validated using existing acid-base titration problems from the Senior Secondary Certificate Examination (SSCE) past questions over 30 years.

All observations indicated that the developed model was only valid for a monobasic acid