4.8 Article

Ultrasensitive point-of-care biochemical sensor based on metal-AlEgen frameworks

期刊

SCIENCE ADVANCES
卷 8, 期 30, 页码 -

出版社

AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/sciadv.abo1874

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资金

  1. National Key R&D Program of China [2018YFA0902600]
  2. National Natural Science Foundation of China [22104049, 22005195, 81730051]
  3. Shenzhen Science and Technology Program [KQTD20190929172743294, JCYJ20200109110608167, JCYJ20210324105006017]
  4. Chinese Academy of Sciences [QYZDJ-SSW-SLH039]
  5. Guangdong Innovative and Entrepreneurial Research Team Program [2019ZT08Y191]
  6. Shenzhen Key Laboratory of Smart Healthcare Engineering [ZDSYS20200811144003009]
  7. Guangdong Provincial Key Laboratory of Advanced Biomaterials [2022B1212010003]
  8. Tencent Foundation through the XPLORER PRIZE

向作者/读者索取更多资源

Point-of-care biochemical sensors have broad applications but suffer from poor sensitivity. Researchers developed metal-AlEgen frameworks (MAFs) as ultrasensitive sensors, exhibiting high quantum yield and unique luminescent mechanism. Optimized MAFs showed 10^2 to 10^3-fold enhanced sensitivity for POC sensors and LFIA, enabling robust serum detection for clinical diagnosis.
Point-of-care (POC) biochemical sensors have found broad applications in areas ranging from clinical diagnosis to environmental monitoring. However, POC sensors often suffer from poor sensitivity. Here, we synthesized a metal-organic framework, where the ligand is the aggregation-induced emission luminogen (AlEgen), which we call metal-AlEgen frameworks (MAFs), for use in the ultrasensitive POC biochemical sensors. MAFs process a unique luminescent mechanism of structural rigidity-enhanced emission to achieve a high quantum yield (similar to 99.9%). We optimized the MAFs to show 10(2)- to 10(3)-fold enhanced sensitivity for a hydrogel-based POC digital sensor and lateral flow immunoassays (LFIA). MAFs have a high affinity to directly absorb proteins, which can label antibodies for immunoassays. MAFs-based LFIA with enhanced sensitivity shows robust serum detection for POC clinical diagnosis.

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