4.8 Article

ZIF-67 derived porous Co3O4 hollow nanopolyhedron functionalized solution-gated graphene transistors for simultaneous detection of glucose and uric acid in tears

期刊

BIOSENSORS & BIOELECTRONICS
卷 101, 期 -, 页码 21-28

出版社

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2017.10.004

关键词

Porous Co3O4 hollow nanopolyhedrons; Graphene transistors; Glucose; Uric acid; High sensitivity

资金

  1. National Key Research and Development Plan of China [2016YFD0401104]
  2. Funds for Huangshan Professorship of Hefei University of Technology [407-037019]
  3. National Natural Science Foundation of China [21705031]
  4. Fundamental Research Funds for the Central Universities [2015HGCT0001, JZ2017HGTB0195]

向作者/读者索取更多资源

Biomarkers in tears have attracted much attention in daily healthcare sensing and monitoring. Here, highly sensitive sensors for simultaneous detection of glucose and uric acid are successfully constructed based on solution-gated graphene transistors (SGGTs) with two separate Au gate electrodes, modified with GOx-CHIT and BSA-CHIT respectively. The sensitivity of the SGGT is dramatically improved by co-modifying the Au gate with ZIF-67 derived porous Co3O4 hollow nanopolyhedrons. The sensing mechanism for glucose sensor is attributed to the reaction of H2O2 generated by the oxidation of glucose near the gate, while the sensing mechanism for uric acid is due to the direct electro-oxidation of uric acid molecules on the gate. The optimized glucose and uric acid sensors show the detection limits both down to 100 nM, far beyond the sensitivity required for non-invasive detection of glucose and uric acid in tears. The glucose and uric acid in real tear samples was quantitatively detected at 323.2 +/- 16.1 mu M and 98.5 +/- 16.3 mu M by using the functionalized SGGT device. Due to the low-cost, high-biocompatibility and easy-fabrication features of the ZIF-67 derived porous Co3O4 hollow nanopolyhedron, they provide excellent electrocatalytic nanomaterials for enhancing sensitivity of SGGTs for a broad range of disease-related biomarkers.

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