ACS Applied Materials & Interfaces, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 6, 2024

This work presents a facile, ultrasensitive, and selective chemiresistive biosensor assisted by an adaptive signal extraction algorithm (ASEA) for detecting vimentin, potential biomarker ovarian cancer detection. The low-cost device, fabricated on PCB substrate through sacrificial copper etching, features 3D-IDE design with interwoven comb-like structures mimicking the natural symmetry of droplet. An unequal count positive negative concentric circle fingers ensures uniform, higher electric field over sensor's surface, as verified COMSOL Multiphysics 3D simulation. optimal elegantly reflects changes in IV characteristics, even minor variations surface charge density from probe-target interactions. Graphene oxide, functionalized heterobifunctional linker, serves sensing nanomaterial. A detailed study examines device's response interdigitated gaps 30 to 150 μm. wider gap introduces greater variability across different voltage levels. To address this, Python-based ASEA meticulously scans entire range, isolating segment that best balances both intensity extension expression. boosts limit detection (LOD) five times sensors 100 achieves minimum LOD 9.45 fg mL

Language: Английский