Decoding Electrochemical Interactions plus AI Expansion
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Electrochemical Impedance Spectroscopy (EIS) is a vital label-free technique in biosensing, enabling non-destructive detection of molecular interactions, crucial for sensitive immunoassays. EIS measures a system's electrical impedance changes upon target molecule binding to a functionalized electrode. While powerful, EIS data analysis is complex, requiring equivalent circuits and model fitting. The need for user-friendly tools has spurred alternatives to proprietary software. Python-based pyEIA software automates analysis, offering a GUI for EIS and CV data, streamlining research, minimizing bias, and democratizing sophisticated electrochemical analysis for broader scientific advancement in diagnostics and monitoring.