Chemometric tools are widely used in analytical chemistry for the reduction of data dimensionality, grouping of variables, and processing of analytical signals. They have also the potential to be applied in analytical procedure development with the aim of minimizing the procedure's environmental impact. The design of experiment gives the possibility to obtain much better information on the system response than in the case of ‘changing one variable at a time’ approach. This results in materials and energy savings. Desirability functions applied together with the design of experiment create a possibility to include in procedure development the variables that directly refer to the procedure's greenness. In this way, analysis time, consumption of solvents or reagents, and mobile phase (in the case of liquid chromatography) can be minimized. Cluster analysis and principal component analysis are successfully applied to find greener solvent alternatives.

化学计量工具广泛用于分析化学中，以减少数据维数，变量分组和分析信号处理。它们也有可能在分析程序开发中应用，以最大程度地减少程序对环境的影响。实验设计提供了比“一次更改一个变量”方法更好的系统响应信息的可能性。这样可以节省材料和能源。与实验设计一起应用的可取性函数创造了一种可能性，可以在程序开发中包括直接涉及程序绿色程度的变量。这样，可以将分析时间，溶剂或试剂的消耗量以及流动相（在液相色谱法的情况下）最小化。