4.8 Article

Smartphone-assisted robust enzymes@MOFs-based paper biosensor for point-of-care detection

期刊

BIOSENSORS & BIOELECTRONICS
卷 156, 期 -, 页码 -

出版社

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2020.112095

关键词

Point-of-care detection; Biosensor; Enzyme immobilization; Metal-organic frameworks; Smartphone detection

资金

  1. National Natural Science Foundation of China [21904146, 21737006, 21677182, 21527813]
  2. project of Postdoctoral Innovative Talents Support Program (Boxin Plan) [BX20190390]
  3. project of China Postdoctoral Science Foundation [2019M653138]
  4. Fundamental Research Funds for the Central Universities [19lgpy125]

向作者/读者索取更多资源

Portable devices featured with fast analysis and affordable methodologies for clinical diagnostics have stimulated the rapid development of point-of-care (POC) technologies, potentially lowering the mortality rate. Herein, we demonstrated a portable, robust, and user-friendly intelligent metal-organic frameworks (MOFs) paper device, called smartphone-assisted biomimetic MOFs nanoreactor colorimetric paper (SBMCP), for on-demand POC detection of endogenous biomolecules. The concept of this paper platform was analogous to the intracellular cascades signal transduction, wherein the single/multiple enzymes components trapped within a ZIF-8 exoskeleton allowed the sensitive and selective recognition of target analyte via the accessible micropores network of ZIF-8, and then transferred the recognition event to a visual color signal based on the cascade reaction. Meanwhile, the ZIF-8 exoskeleton also endowed the enzymes with significantly elevated stability. As a result, this robust and portable SBMCP sensor enabled the on-site analysis of different important disease-related biomolecules through modulating the enzyme cascades, combining with a custom-designed smartphone application for signal readout. In the SBMCP assay, no sophisticated instruments or professional skill of the user was required, only 5 mu L sample volume was needed, and the whole analysis process could be achieved within a portable MOFs paper and pervasive smartphone, endowing this new assay with the merits of low-cost, time-saving and easy-to-use. We demonstrated this SBMCP sensor was capable of real-time colorimetric detection of glucose and uric acid in diabetes and gout events. It is believed that this portable biosensor platform proposed herein potentially represents promising alternatives for POC diagnosis, especially applicable in developing world and resource-limited settings.

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