The aim of this review paper is to give an overview of chemometric tools, covering the application of full factorial, fractional factorial and other first-order designs in the screening of variables involved on preparation and application of carbon-based materials. The screening designs are powerful tools in both processes, since they allow to investigate and to analyze the effects of several variables toward the selected response(s). Based on the most significant variables resulting from these designs, the second-order designs (central composite, Doehlert, Box–Behnken, etc.) can be used to optimize the performance by analyzing the Response Surface or applying mathematical functions (for instance, desirability function). This review focuses on optimization designs to study experimental processes involving carbon-based materials. Additionally, a relevant discussion is presented regarding the theory that underlies each of the design and optimization techniques, which can further contribute and facilitate the choice of the experimenter by one or another specific design and optimization method.

本文的目的是概述化学计量学工具，涵盖全因子，分数因子和其他一阶设计在筛选碳基材料的制备和应用中涉及的变量时的应用。筛选设计在这两个过程中都是强大的工具，因为它们可以调查和分析几个变量对所选响应的影响。根据这些设计产生的最重要的变量，可以使用二阶设计（中央复合材料，Doehlert，Box–Behnken等）通过分析响应面或应用数学函数（例如，合意性）来优化性能。功能）。本文的重点是优化设计，以研究涉及碳基材料的实验过程。此外，