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Synthesis of hierarchical trimetal oxide nanocomposites and their enzyme-free glucose sensing performances

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Abstract

Electrochemical non-enzymatic biosensors based on metal oxide and metal composites remain an area of challenge and great potential. Herein, hierarchical trimetal oxide hybrid nanocomposites were fabricated by the hydrothermal and after calcination processes. Most importantly, such hybrid nanocomposites such as Fe6Co2Ni2 (FCN-2)-modified glassy carbon electrode (FCN-2/GCE) exhibit excellent performances for enzyme-free glucose detection. The main results of such biosensors were presented as follows: the linear detection range is 1–739 μM (R = 0.9552), the sensitivity is 250.4 μA mM−1 cm−2, and the LOD is 9.16 μM (S/N = 3), and the device has long-term stability of as long as 21 days. The compositional and structural advantages of the hybrid nanocomposites are beneficial to the sensing performances, especially the abundant target molecules that can be chemi-absorbed by active sites existing on the surface of hierarchical FCN-2. Additionally, the synergistic effect of Ni1.25Fe1.85O4, Fe3O4, and CoFe2O4 is the key design element of the hierarchical trimetal oxide hybrid nanocomposites.

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Acknowledgements

The authors would like to thank Kehui Han from Shiyanjia Lab (www.shiyanjia.com) for the interesting discussion and measurements.

Funding

This work was financially supported by the Brain Pool program funded by the Ministry of Science and ICT through the National Research Foundation of Korea (No. 2021H1D3A2A01100019), College Students Innovation and Entrepreneurship Training Program of Shandong Province (No. S202111065269, S202111065016), and College Students Innovation and Entrepreneurship Training Program of Qingdao University (X2021110650082). And the work was also financially supported by the Natural Science Foundation of Shandong Province (No. ZR2020MF003), and Construction of Comprehensive Service System of Agricultural Science and Technology in Shandong Province (Grant No.2019FW037).

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Author notes

  1. Ling-Yun Gai, Xiao-Ran Gong, and Chen Li have contributed equally to this work.

Authors and Affiliations

  1. Big Data and Network Management Center, Qingdao Agricultural University, Qingdao, 266109, China

    Ling-Yun Gai

  2. School of Electronics & Information, State Key Laboratory of Bio-Fibers and Eco-Textiles, Qingdao University, Qingdao, 266071, China

    Xiao-Ran Gong, Chen Li, Su-Zhen Wang & Wan-Feng Xie

  3. Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Ma-terials and Protective Technologies, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo, 315201, People’s Republic of China

    Cheng-Te Lin

  4. Shandong GRINM Semiconductor Materials Co., Ltd, Beijing, China

    Re-Jing Zhao

  5. Department of Physics, Dongguk University, Seoul, 04620, South Korea

    Wan-Feng Xie

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  1. Ling-Yun Gai
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Contributions

Conceptualization, XG; investigation, CL; data curation, YX; project administration, WX; formal analysis, ZJ, HJ, and LH; visualization, RZ; and writing, reviewing, and editing of the manuscript, CL. All authors have read and agreed to the published version of the manuscript.

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Correspondence to Su-Zhen Wang, Cheng-Te Lin or Wan-Feng Xie.

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Gai, LY., Gong, XR., Li, C. et al. Synthesis of hierarchical trimetal oxide nanocomposites and their enzyme-free glucose sensing performances. J Mater Sci: Mater Electron 34, 1278 (2023). https://doi.org/10.1007/s10854-023-10619-z

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