“…This can be carried out by adjusting one variable at a time or through the use of experimental design strategies, where several variables are jointly optimized within a restricted experimental domain, employing statistical and graphic methodologies. Experimental designs are able to furnish proper conditions with a minimal number of experiments, while also providing the practitioner with better understanding of the effects of modifying different variables on the performance of the chromatographic separation [115,116]. As optimization of many variables may be impractical, the optimization problem can be simplified by establishing conditions for the less critical factors (e.g., injection volume, column temperature, flow-rate, components of the mobile phase, and detection conditions), before submitting the most crucial variables (e.g., column type, composition of the mobile phase, including pH, ionic strength, additives, and modifiers) to closer examination.…”