Abstract
Nucleic acid detection is considered the golden standard for diagnosing infectious diseases caused by various pathogens, including viruses, bacteria, and parasites. PCR and other amplification-based technologies are highly sensitive and specific, allowing for accurate detection and identification of low-level causative pathogens by targeting and amplifying their unique genetic segment (DNA or RNA). However, it is important to recognize that machinery-dependent diagnostic methods may only sometimes be available or practical in resource-limited settings, where direct implementation can be challenging. CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats)-based diagnostics offer a promising alternative for nucleic acid detection. These methods provide gene sequence-specific targeting, multiplexing capability, rapid result disclosure, and ease of operation, making them suitable for point-of-care (POC) applications. CRISPR-Cas-based nucleic acid detection leverages the intrinsic gene-editing capabilities of CRISPR systems to detect specific DNA or RNA sequences with high precision, ensuring high specificity in identifying pathogens. When integrated with micro- and nano-technologies, CRISPR-based diagnostics gain additional benefits, including automated microfluidic processes, enhanced multiplexed detection, improved sensitivity through nanoparticle integration, and combined detection strategies. In this review, we analyze the motivations for tailoring the CRISPR-Cas system with microfluidic formats or nanoscale materials for nucleic acid biosensing and detection. We discuss and categorize current achievements in such systems, highlighting their differences, commonalities, and opportunities for addressing challenges, particularly for POC diagnostics. Micro- and nano-technologies can significantly enhance the practical utility of the CRISPR-Cas system, enabling more comprehensive diagnostic and surveillance capabilities. By integrating these technologies, CRISPR-based diagnostics can achieve higher levels of automation, sensitivity, and multiplexing, making them invaluable tools in the global effort to diagnose and control infectious diseases.
Published Version
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