生物标志物多模态检测:医学检验新方法的应用与研究进展OA

With the growing demand for precision medicine and point-of-care testing(POCT),traditional sin-gle-signal detection methods are progressively demonstrating limitations in their sensitivity,specificity,and anti-interference capability.Multi-modal detection,which generates multi-signal output using multi-signal platforms,has emerged as a significant developmental trend in the field of biosensing.This review first elucidates the funda-mental principles of multi-modal detection,as well as the strategies for designing signal orthogonality.It subse-quently concentrates on key functional materials and nanoprobes construction methods for achieving multisignal output.Then,it categorizes and summarizes application examples of multi-modal detection systems for the highly sensitive detection of single or multiple biomarkers.Finally,it provides a comprehensive analysis of the current challenges faced by multi-modal detection technologies,while also examining prospective future directions in-tegrating Multi-modal detection with AI-assisted signal analysis and wearable multimode sensing for diagnostics and therapeutic applications.This review seeks to provide theoretical insights and technical guidance for the de-velopment of efficient and reliable biomarker detection methods.