Litcius/Paper detail

Nanomaterials-Integrated CRISPR/Cas Systems: Expanding the Toolbox for Optical Detection

Tianying Sun, Weiwei He, Xiangmei Chen, Xiaoying Shu, Wei Liu, Gangfeng Ouyang

2025ACS Sensors22 citationsDOI

Abstract

Nanomaterials-integrated CRISPR/Cas systems have rapidly emerged as powerful next-generation platforms for optical biosensing. These integrated platforms harness the precision of CRISPR/Cas-mediated nucleic acid detection while leveraging the unique properties of nanomaterials to achieve enhanced sensitivity and expanded analytical capabilities, thereby broadening their diagnostic potential. By incorporating a diverse range of nanomaterials, these systems effectively expand the analytical toolbox for optical detection, offering adaptable solutions tailored to various diagnostic challenges. This review provides a comprehensive overview of the nanomaterials successfully integrated into CRISPR/Cas-based optical sensing systems. It examines multiple optical detection modalities, including fluorescence, electrochemiluminescence, colorimetry, and surface-enhanced Raman spectroscopy, highlighting how nanomaterials facilitate signal amplification, enable multiplexing, and support the development of point-of-care applications. Additionally, practical applications of these integrated systems in critical fields such as healthcare diagnostics and environmental monitoring are showcased. While these platforms offer considerable advantages, several real-world challenges such as the complexity of assay workflows, environmental impact of nanomaterials, cost, and regulatory hurdles must be addressed before widespread implementation can be achieved. By identifying these critical obstacles and proposing strategic solutions, we aim to pave the way for the continued advancement and adoption of nanomaterial-integrated CRISPR/Cas optical biosensing technologies.

Topics & Concepts

ToolboxNanomaterialsNanotechnologyCRISPRComputer scienceMaterials scienceChemistryBiochemistryGeneProgramming languageCRISPR and Genetic EngineeringAdvanced biosensing and bioanalysis techniquesBiosensors and Analytical Detection