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Enzymatic biosensor for nitrite detection based on direct electron transfer by CPO-ILEMB/Au@MoS2/GC

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Abstract

A novel nitrite electrochemical biosensor is constructed by glassy carbon electrodes (GC) coated by chloroperoxidase (CPO) -Au nanoparticles-MoS2 nanoflowers in the presence of ionic liquid, 1-ethyl-3-methylimidazolium bromide (EMB-IL). Au-MoS2 nanoflowers modified nanocomposites are synthesized using sodium carboxymethyl cellulose as reducing agent and stabilizer. The EMB-IL can effectively promote direct electron transfer between CPO and electrode surface without redox mediator. Herein, the surface concentration of CPO on the electrode surface is 1.36 × 10–10 mol cm−2, and the electron transfer coefficient and the rate constant of CPO at electrode surface are 0.87 and 2.03 s−1, respectively. The proposed nitrite electrochemical biosensor shows a wide linear range, low detection limit, and high sensitivity. The biosensor was applied to the determination of nitrite in pickled cabbage with a good accuracy and recovery.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (21873061) and Fundamental Research Funds for the Central Universities (2021CBLY003).

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  1. Xuefang Zhu and Meng He have contributed equally to this work.

Authors and Affiliations

  1. School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi’an, 710119, People’s Republic of China

    Xuefang Zhu, Meng He, Ling Xiao, Haozhuo Liu, Mancheng Hu, Shuni Li, Quanguo Zhai & Yucheng Jiang

  2. Key Laboratory of Macromolecular Science of Shaanxi Province, Shaanxi Normal University, Xi’an, 710119, People’s Republic of China

    Mancheng Hu, Shuni Li, Quanguo Zhai & Yucheng Jiang

  3. School of Materials Science and Engineering, Shaanxi Normal University, Xi’an, 710119, People’s Republic of China

    Yu Chen

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  1. Xuefang Zhu
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Zhu, X., He, M., Xiao, L. et al. Enzymatic biosensor for nitrite detection based on direct electron transfer by CPO-ILEMB/Au@MoS2/GC. J Appl Electrochem 52, 979–987 (2022). https://doi.org/10.1007/s10800-022-01689-8

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