Complete the formula by adding the calculation.
The events of calcium oxalate nucleation were monitored by a calcium selective electrode, in a free drift nucleation experiment (no titrant added); the calcium concentration slowly increased throughout the induction time.
The potential for spontaneous nucleation due to high, localized concentrations of reactants was minimized by locating the titrant entrances as far away from each other as possible, and stirring at 150 rpm (overhead propeller).
The volume of added titrant corresponding to the indicator colour change is the end point of the titration.
Because experiments that include Sr in the replenishment titrant result in a continual increase in the solution Sr/Ca ratio, only experiments in which Sr was not replenished by the titrant are used to determine strontium distribution coefficients.
A three-layered feed-forward artificial neural network (ANN) trained by back-propagation learning algorithm was used to model the complex non-linear relationship between the concentration of silver, copper and mercury in their different mixtures and the potential of solution at different volumes of the added titrant.
In this study, a three-layered feed-forward artificial neural network (ANN) trained by back-propagation learning was used to model the complex non-linear relationship between the concentration of anthranilic acid (HA), nicotinic acid (HN), picolinic acid (HP) and sulfanilic acid (HS) in their quaternary mixtures and the pH of solutions at different volumes of the added titrant.
In the potentiometric titration methods, aliquots of the sample solutions containing 1.0 × 10-6-1.0 × 10-2 mol L-1 DL were titrated with standard phosphomolybdic acid solution and the electrode potential values were plotted against volume of the titrant added to estimate the end point.
This step is easy - simply multiply the volume of the titrant you added by its molarity.
