Advances in Pathogen Detection by Nanosensors: Biorecognition Strategies, Signal Amplification, and Platform Engineering
Aroofa Zargul, He Liu, Weiyu Zhang, Hui Wang, Jing Liu, Chunying Chen
Abstract
The escalating global threat of infectious diseases, compounded by antimicrobial resistance (AMR), calls for improved diagnostic strategies. Conventional pathogen detection techniques─culture, enzyme-linked immunosorbent assay (ELISA), and microscopy─remain hindered by prolonged turnaround times, suboptimal sensitivity for low-abundance analytes, and operational intricacy. Nanosensor technologies have emerged as powerful enablers of rapid, ultrasensitive, and field-deployable diagnostics. This review delineates the convergence of three transformative domains: (1) advanced biorecognition strategies─including monoclonal antibodies, aptamers, bacteriophages, antimicrobial peptides, molecularly imprinted polymers, and lectins─that confer high-fidelity molecular selectivity within complex biological matrices; (2) multimodal signal amplification technologies, encompassing nanomaterial-enhanced mechanisms, enzymatic cascades, and isothermal nucleic acid amplification that drive detection down to the single-cell and femtomolar regimes; and (3) integrated platform engineering, uniting clustered regularly interspaced short palindromic repeats-Cas (CRISPR-Cas) systems, artificial intelligence (AI), and microfluidics to achieve multiplexed, real-time, point-of-care deployment. Advances are critically evaluated through standardized performance metrics─limit of detection, assay time, specificity, and operational simplicity─to reveal both synergistic opportunities and enduring translational bottlenecks. Collectively, these developments define a strategic framework for next-generation nanosensor diagnostics poised to revolutionize infectious disease surveillance and enable precision-guided therapeutic intervention.