Premium
Structure Engineering of a Lanthanide‐Based Metal–Organic Framework for the Regulation of Dynamic Ranges and Sensitivities for Pheochromocytoma Diagnosis
Author(s) -
Hao JiNa,
Niu Dechao,
Gu Jinlou,
Lin Shaoliang,
Li Yongsheng,
Shi Jianlin
Publication year - 2020
Publication title -
advanced materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.707
H-Index - 527
eISSN - 1521-4095
pISSN - 0935-9648
DOI - 10.1002/adma.202000791
Subject(s) - biosensor , lanthanide , materials science , nanotechnology , pheochromocytoma , vanillylmandelic acid , false positive paradox , biomolecule , computer science , biology , chemistry , pathology , medicine , artificial intelligence , biochemistry , ion , organic chemistry , homovanillic acid , receptor , serotonin
Exploring 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.