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Natural oxidase-mimicking copper-organic frameworks for targeted identification of ascorbate in sensitive sweat sensing

Author

Listed:
  • Zhengyun Wang

    (Huazhong University of Science and Technology)

  • Yuchen Huang

    (Université Paris-saclay)

  • Kunqi Xu

    (Chinese Academy of Sciences)

  • Yanyu Zhong

    (Huazhong University of Science and Technology)

  • Chaohui He

    (Huazhong University of Science and Technology)

  • Lipei Jiang

    (Huazhong University of Science and Technology)

  • Jiankang Sun

    (Huazhong University of Science and Technology)

  • Zhuang Rao

    (Huazhong University of Science and Technology)

  • Jiannan Zhu

    (Huazhong University of Science and Technology)

  • Jing Huang

    (Huazhong University of Science and Technology)

  • Fei Xiao

    (Huazhong University of Science and Technology)

  • Hongfang Liu

    (Huazhong University of Science and Technology)

  • Bao Yu Xia

    (Huazhong University of Science and Technology)

Abstract

Sweat sensors play a significant role in personalized healthcare by dynamically monitoring biochemical markers to detect individual physiological status. The specific response to the target biomolecules usually depends on natural oxidase, but it is susceptible to external interference. In this work, we report tryptophan- and histidine-treated copper metal-organic frameworks (Cu-MOFs). This amino-functionalized copper-organic framework shows highly selective activity for ascorbate oxidation and can serve as an efficient ascorbate oxidase-mimicking material in sensitive sweat sensors. Experiments and calculation results elucidate that the introduced tryptophan/histidine fundamentally regulates the adsorption behaviors of biomolecules, enabling ascorbate to be selectively captured from complex sweat and further efficiently electrooxidized. This work provides not only a paradigm for specifically sweat sensing but also a significant understanding of natural oxidase-inspired MOF nanoenzymes for sensing technologies and beyond.

Suggested Citation

  • Zhengyun Wang & Yuchen Huang & Kunqi Xu & Yanyu Zhong & Chaohui He & Lipei Jiang & Jiankang Sun & Zhuang Rao & Jiannan Zhu & Jing Huang & Fei Xiao & Hongfang Liu & Bao Yu Xia, 2023. "Natural oxidase-mimicking copper-organic frameworks for targeted identification of ascorbate in sensitive sweat sensing," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-022-35721-4
    DOI: 10.1038/s41467-022-35721-4
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    Cited by:

    1. Kaiyuan Wang & Qing Hong & Caixia Zhu & Yuan Xu & Wang Li & Ying Wang & Wenhao Chen & Xiang Gu & Xinghua Chen & Yanfeng Fang & Yanfei Shen & Songqin Liu & Yuanjian Zhang, 2024. "Metal-ligand dual-site single-atom nanozyme mimicking urate oxidase with high substrates specificity," Nature Communications, Nature, vol. 15(1), pages 1-12, December.

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