Multivariate experimental design: towards more reliable electrochemical detection

被引：18

作者：

Ahmed, Riham K. ^{[1
]}

Saad, Engy M. ^{[2
]}

Fahmy, Hussein M. ^{[1
]}

El Nashar, Rasha M. ^{[1
]}

机构：

[1] Cairo Univ, Fac Sci, Chem Dept, Giza 12613, Egypt

[2] German Univ Cairo, Fac Pharm & Biotechnol, Pharmaceut Chem Dept, Cairo, Egypt

来源：

CURRENT OPINION IN ELECTROCHEMISTRY | 2022年 / 31卷

关键词：

Electrochemical sensors; Chemometric; Factorial design; Screening; designs; CENTRAL COMPOSITE DESIGN; DOEHLERT MATRIX; ANALYTICAL-CHEMISTRY; BOX-BEHNKEN; OPTIMIZATION;

D O I：

10.1016/j.coelec.2021.100880

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 ; 081704 ;

摘要：

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.

引用

页数：12

共 51 条

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