Tailoring a nanozyme-based electronic tongue for coffee flavor evaluation: A rapid and accurate identification

Nanozyme-based colorimetric electronic tongue arrays offer advantages such as low cost and good stability. This study developed an electronic tongue system combining detection channel responses with electrospinning technology for analyzing several coffee flavor components. The system evaluates coffee samples without requiring prior knowledge of molecular information. By switching machine learning task types, the system can not only differentiate coffee varieties but also predict concentrations. During sensor fabrication, electrospinning technology was employed to prepare specialized fibrous membranes capable of efficiently immobilizing sensing materials, overcoming the issue of color inhomogeneity caused by the "coffee-ring effect" in traditional test strips. Furthermore, the integration of a dedicated smartphone application provides the system with convenient on-site detection capabilities, and its detection accuracy was validated against a known coffee flavor dataset.