4.8 Article

Structure Engineering of a Lanthanide-Based Metal-Organic Framework for the Regulation of Dynamic Ranges and Sensitivities for Pheochromocytoma Diagnosis

期刊

ADVANCED MATERIALS
卷 32, 期 23, 页码 -

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adma.202000791

关键词

metal-organic frameworks; pheochromocytoma diagnosis; tailorable structures; tunable biosensors; vanillylmandelic acid

资金

  1. National Key Research and Development Program of China [2018YFC1105702]
  2. National Natural Science Foundation of China [51621002, 21805087, 51873061, 51972112]
  3. Shanghai Sailing Program [18YF1405900]
  4. China Postdoctoral Science Foundation [2017M621383]
  5. Program of Shanghai Academic/Technology Research Leader [18XD1401400]
  6. Basic Research Program of Shanghai [17JC1404702, 19JC1411700]
  7. Leading Talents in Shanghai in 2018
  8. 111 project [B14018]

向作者/读者索取更多资源

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.

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