Self-Assembled Nanostructures for High-Performance Sensor Applications
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Self-assembled nanostructures have attracted significant attention as a promising strategy for the fabrication of highperformancesensors. By enabling precise control over morphology, periodicity, and surface functionality at the nanoscale, self-assemblyoffers a bottom-up approach to producing sensor architecture without requiring complex lithographic techniques. In this review,we present recent advances in gas, optical, biological, and strain sensors that utilize self-assembled structures based on block copolymers,colloidal particles, and hybrid nanomaterials. These systems show enhanced sensitivity and selectivity by increasing surfacearea, exposing active sites, and improving interactions with target analytes. In particular, hierarchical or porous morphologies derivedfrom self-assembly allow efficient diffusion and signal transduction, and their compatibility with flexible and transparent substratesenables their application in wearable and miniaturized sensor devices. Through selected examples, we highlight how nanostructuresformed via self-assembly can be effectively integrated into various sensing platforms, demonstrating their potential for scalable andpractical sensor technologies.
Abstract
Self-assembled nanostructures have attracted significant attention as a promising strategy for the fabrication of highperformancesensors. By enabling precise control over morphology, periodicity, and surface functionality at the nanoscale, self-assemblyoffers a bottom-up approach to producing sensor architecture without requiring complex lithographic techniques. In this review,we present recent advances in gas, optical, biological, and strain sensors that utilize self-assembled structures based on block copolymers,colloidal particles, and hybrid nanomaterials. These systems show enhanced sensitivity and selectivity by increasing surfacearea, exposing active sites, and improving interactions with target analytes. In particular, hierarchical or porous morphologies derivedfrom self-assembly allow efficient diffusion and signal transduction, and their compatibility with flexible and transparent substratesenables their application in wearable and miniaturized sensor devices. Through selected examples, we highlight how nanostructuresformed via self-assembly can be effectively integrated into various sensing platforms, demonstrating their potential for scalable andpractical sensor technologies.