While previous experiments were initiated with two -four randomly selected datapoints, we now initiated the pH adjustment process with a single datapoint aiming to decrease the overall number of required experimental observations. After initial pH measurement (volume of added acid/base = 0) the selected volume of titrant is added, and data acquisition commences. Figure illustrates the results of the automated pH adjustment, representing the average of three single experimental evaluations. The plot indicates the clear differences between various buffered systems, ranging from two iterations (citrate-phosphate) to eight iterations (acetate-citrate). To demonstrate the performance of our approach for a chemically extremely complex equilibrium system and the feasibility of the GP to model the data we conducted successful pH adjustment of a sample containing up to four buffer chemicals. For a mixture of citrate, phosphate, ammonium and acetate the target pH 6 was achieved within 3.7 ± 0.4 iterations, thus demonstrating the versatility of the presented data-driven strategy.