Aristizábal-Alzate Carlos Esteban, Castillejos-López Eva, Dongil Ana Belén, Romero-Sáez Manuel
Grupo Química Básica, Aplicada y Ambiente-Alquimia, Facultad de Ciencias Exactas y Aplicadas, Instituto Tecnológico Metropolitano, Robledo, Medellín, 050034, Colombia.
Department of Inorganic and Technical Chemistry, Faculty of Sciences, UNED, Madrid, 28232, Spain.
ChemistryOpen. 2025 Jan;14(1):e202400148. doi: 10.1002/open.202400148. Epub 2024 Dec 16.
This work reviews the application of Analysis of Variance (ANOVA), Design of Experiments (DOE), and Response Surface Methodology (RSM) in heterogeneous catalysis, based on an analysis of recent scientific literature. Heterogeneous catalysis plays a key role in various industries, guiding chemical reactions, optimizing the performance of different processes and/or prioritizing products, and ANOVA, DOE and RSM are valuable tools to understand the intricate relationships between catalyst properties, process variables and reaction responses. This understanding facilitates improvements in catalysts performance and selectivity, thereby optimizing processes. Drawing insights from recent studies, this minireview highlights the different applications of ANOVA-based experimental designs and RSM optimization techniques in catalytic process evaluation. Therefore, this review provides valuable insights into these current statistical methodologies applied to heterogeneous catalysis research, informing the relevance and future directions of the research in the field.
基于对近期科学文献的分析,本文综述了方差分析(ANOVA)、实验设计(DOE)和响应面方法(RSM)在多相催化中的应用。多相催化在各个行业中发挥着关键作用,指导化学反应、优化不同工艺的性能和/或确定产品的优先级,而方差分析、实验设计和响应面方法是理解催化剂性质、工艺变量和反应响应之间复杂关系的宝贵工具。这种理解有助于提高催化剂的性能和选择性,从而优化工艺。本综述从近期研究中汲取见解,重点介绍了基于方差分析的实验设计和响应面方法优化技术在催化过程评估中的不同应用。因此,本综述为应用于多相催化研究的这些当前统计方法提供了有价值的见解,为该领域研究的相关性和未来方向提供了参考。