Ji‐Na Hao1, Dechao Niu1, Jinlou Gu1, Shaoliang Lin1, Yongsheng Li1, Jianlin Shi1,2
1Laboratory of Low-Dimensional Materials Chemistry Key Laboratory for Ultrafine Materials of Ministry of Education Shanghai Engineering Research Center of Hierarchical Nanomaterials School of Materials Science and Engineering Frontier Science Center of the Materials Biology and Dynamic Chemistry East China University of Science and Technology Shanghai 200237 P. R. China
2State Key Laboratory of High Performance Ceramics and Superfine Microstructure, Shanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai 200050, P.R. China
Tóm tắt
AbstractExploring innovative technologies to precisely quantify biomolecules is crucial but remains a great challenge for disease diagnosis. Unfortunately, the humoral concentrations of most biotargets generally vary within rather limited scopes between normal and pathological states, while most literature‐reported biosensors can detect large spans of targets concentrations, but are less sensitive to small concentration changes, which consequently make them mostly unsatisfactory or even unreliable in distinguishing positives from negatives. Herein, a novel strategy of precisely quantifying the small concentration changes of a certain biotarget by editing the dynamic ranges and sensitivities of a lanthanide‐based metal–organic framework (Eu‐ZnMOF) biosensor is reported. By elaborately tailoring the biosensor's structure and surface areas, the tunable Eu‐ZnMOF is developed with remarkably enhanced response slope within the “optimized useful detection window,” enabling it to serve as a powerful signal amplifier (87.2‐fold increase) for discriminating the small concentration variation of urinary vanillylmandelic acid (an early pathological signature of pheochromocytoma) within only three times between healthy and diseased subjects. This study provides a facile approach to edit the biosensors' performances through structure engineering, and exhibits promising perspectives for future clinical application in the non‐invasive and accurate diagnosis of severe diseases.
