Multivariate experimental design: towards more reliable electrochemical detection

Design of an experiment approach has recently become an urgent requirement for different experimental measurements. Not only owing to the increased expenses for purchasing chemicals and equipment but also to reduce time required to conduct several one-variable at a time experiments to optimize the operating conditions of an experimental design. Design of experiments has excellent applicability in the analytical process related to method development based on multiple variants used for pharmaceutical, food, and environmental analysis. Application of experimental design has become effective to identify and optimize the significant factors and to achieve adequate results using few experimental trials. Electrochemical sensors represent a class of fast, reliable, and economic tools in analytical chemistry, with vast applicability to different fields. This review aims at presenting the most recently used screening and optimization designs during (2019–2021) for the fabrication and operation variables of electrochemical sensors and how can they be efficiently correlated.