Optimal interdigitated electrode sensor design for biosensors using multi-objective particle-swarm optimization

<p>Interdigitated electrodes (IDEs) are commonly employed in biological cellular characterization techniques such as electrical cell-substrate impedance sensing (ECIS). Because of its simple production technique and low cost, interdigitated electrode sensor design is critical for practical spectroscopy the medical pharmaceutical domains. The equivalent circuit an IDE was modeled this paper, it consisted three primary components: double layer capacitance, C<sub>dl</sub>, solution C<sub>Sol</sub>, resistance, R<sub>Sol</sub>. One challenging optimization challenges geometric interdigital structure a sensor. We employ metaheuristic to identify best answer problems kind. multi-objective using particle swarm (MOPSO) achieved maximize sensitivity minimize Cut-off frequency. optimal geometrical parameters determined during used build circuit. amplitude phase versus frequency analysis were calculated EC-LAB® software, corresponding conductivity determined.</p>