Grupo de Electroanalítica (GEANA), Departamento de Química, Instituto para el Desarrollo Agroindustrial y de la Salud UNRC-CONICET (IDAS), Facultad de Ciencias Exactas, Físico-Químicas y Naturales, Universidad Nacional de Río Cuarto, Río Cuarto 5800, Argentina.
Departamento de Tecnología Química (IDAS), Facultad de Ingeniería, Universidad Nacional de Río Cuarto, Río Cuarto 5800, Argentina.
Biosensors (Basel). 2023 Jun 30;13(7):694. doi: 10.3390/bios13070694.
We summarize the application of multivariate optimization for the construction of electrochemical biosensors. The introduction provides an overview of electrochemical biosensing, which is classified into catalytic-based and affinity-based biosensors, and discusses the most recent published works in each category. We then explore the relevance of electrochemical biosensors for food safety analysis, taking into account analytes of different natures. Then, we describe the chemometrics tools used in the construction of electrochemical sensors/biosensors and provide examples from the literature. Finally, we carefully discuss the construction of electrochemical biosensors based on design of experiments, including the advantages, disadvantages, and future perspectives of using multivariate optimization in this field. The discussion section offers a comprehensive analysis of these topics.
我们总结了多元优化在电化学生物传感器构建中的应用。引言部分概述了电化学生物传感,将其分为基于催化和基于亲和力的生物传感器,并讨论了每种类别的最新发表文献。然后,我们探讨了电化学生物传感器在食品安全分析中的相关性,考虑了不同性质的分析物。接着,我们描述了用于构建电化学传感器/生物传感器的化学计量学工具,并提供了文献中的实例。最后,我们仔细讨论了基于实验设计的电化学生物传感器的构建,包括在该领域使用多元优化的优点、缺点和未来展望。讨论部分对这些主题进行了全面分析。