Research

The electrochemistry community has utilized many forms of carbon electrodes, but the relationship between their features and electrochemical properties is uncertain.  Revealing the chemical and structural features of these carbon electrodes on their properties will yield useful knowledge on designing the better carbon electrodes.

Antifouling materials effectively alleviate electrode fouling that degrades the signal, but their structure themselves limit the electrochemical properties nevertheless.  Designing novel functional polymers and nanomaterials that exhibit both electrocatalytic and antifouling properties is a promising strategy to enhance the performance of electrochemical sensors.

Machine learning and data analytics have already revolutionized our everyday experience.  Implementing them to optimize analytical method development and to discover new knowledge of structure-electrochemical relationships from data-rich techniques will benefit analytical chemistry.