清脆的
计算机科学
纳米技术
正交性
重新调整用途
核酸检测
系统工程
分子诊断学
微流控
生化工程
适体
风险分析(工程)
合成生物学
计算生物学
多路复用
路径(计算)
巨量平行
数据科学
脆弱性(计算)
作者
Clement Yaw Effah,Xinyu Li,Qimeng Zhang,Lihua Ding,Emmanuel Kwateng Drokow,Xi Zhang,Yongjun Wu
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2026-07-16
标识
DOI:10.1021/acssensors.6c00860
摘要
The paradigm of molecular diagnostics has been transformed by the repurposing of CRISPR-Cas systems from being gene-editing tools to nucleic acid detection engines with remarkable specificity and programmability. Both the SHERLOCK and DETECTR platforms have shown high sensitivity and specificity; however, the requirement of a pre-amplification step to achieve clinically relevant detection limits adds another layer of complexity and cost and is also a potential source of contamination, precluding their use as true point-of-care (POC) tools. The next frontier for CRISPR diagnostics will be the design of biosensors that enable preamplification-free, multiplex, and continuous direct detection of targets. Achieving this goal will involve the very close integration of CRISPR biology with nano-biotechnology, microfluidics, orthogonal Cas enzyme systems, and artificial intelligence (AI). This review aims to provide a comprehensive overview of recent advancements and strategic thinking related to this integration. This review discusses how nanomaterials facilitate signal generation and transduction, how microfluidics automates, multiplexes, and miniaturizes "all-in-one" devices, and how orthogonal CRISPR systems can enable robust multiplexing. We will also probe into the emerging application of AI to accelerate guide RNA design and optimize the performance of CRISPR biosensors. Furthermore, the roles of orthogonality and nanomaterials in real-time, continuous molecular monitoring will be assessed. The review will finally discuss the transformative future applications of high-throughput biomarker discovery and theranostics potential through massively parallelized CRISPR sensing.
科研通智能强力驱动
Strongly Powered by AbleSci AI