Applications of electrochemical data analysis by multivariate curve resolution-alternating least squares

作者：Jalalvand Ali R^*; Goicoechea Hector C

来源：TrAC-Trends in Analytical Chemistry, 2017, 88: 134-166.

DOI：10.1016/j.trac.2017.01.005

• Chemometrics
• Electrochemistry
• MCR-ALS
• Complexation
• Quantification
• Interaction
• Resolution
• Minimization of electrodic adsorption

Electrochemistry studies the relationship between electricity and identifiable chemical change, with either electricity considered an outcome of a particular chemical change or vice-versa. Chemometrics is the chemical discipline that uses mathematical and statistical methods to design or select optimal procedures and experiments, and to provide maximum chemical information by analyzing chemical data. Multivariate curve resolution-alternating least squares (MCR-ALS) has become a popular chemometric method used for data analysis in many different application fields. This article intends to propose a comprehensive review on different applications of MCR-ALS in electrochemistry such as complexation studies, small molecule-biomacromolecule interactions, minimization of electrodic adsorption, separation of the faradic current contribution from total current to enhance the sensitivity of the electroanalytical techniques, quantification and spectroelectrochemistry. This review was written from both electrochemical and chemometrical points of view with the aim of providing useful information for the electrochemists and to promote the use of MCR-ALS in electrochemistry.

• 出版日期2017-3