The implications of this work are significant for environmental monitoring, water quality assessment, and biomedical diagnostics. By redefining EIS as a quantitative, real-time sensing tool, our approach offers a cost-effective, rapid, and non-invasive alternative to traditional analytical methods. The robustness and long-term stability of the developed sensor underscore its potential for widespread application in diverse real-world scenarios.