4.7 Article

Multienzyme mimetic activities of holey CuPd@H-C3N4 for visual colorimetric and ultrasensitive fluorometric discriminative detection of glutathione and glucose in physiological fluids

期刊

TALANTA
卷 241, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.talanta.2022.123221

关键词

Triple-enzyme mimetic activity; Bimetallic; Carbon nitride; Colorimetric and fluorometric

资金

  1. National Research Foundation of Korea (NRF) - Korean government (MSIT: Ministry of Science and ICT) [NRF-2019R1A2C1010032]
  2. Youth Innovation Promotion Association CAS [2021420]

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This paper presents a biosensing platform based on CuPd@H-C3N4 composite material, which exhibits peroxidase, oxidase, and catalase-like activities. The platform allows for visual and highly sensitive detection of glutathione and glucose, and also proposes a simplified glucose detection strategy.
Nanozymes with multiple activities have drawn immense interest owing to their great prospect in biochemical analysis. Fabricating nanomaterials-based artificial enzymes for multiple-enzyme mimetic activity is a significant challenge. This paper reports a sensitive biosensing platform to mimic the peroxidase, oxidase, and catalase-like activity by bimetallic CuPd embedded holey carbon nitride (CuPd@H-C3N4). Owing to the combination of porous H-C3N4 and bimetallic CuPd nanoparticles, the CuPd@H-C3N4 exhibited a large specific surface area, extremely high mobility and catalytic activity of electrons, resulting in remarkable triple-enzyme mimetic activity. Owing to the excellent oxidase/peroxidase-like activities of CuPd@H-C3N4, a visual colorimetric and ultrasensitive fluorometric biosensing platform was established for the discriminatory detection of glutathione (linear range: 2-40 mu M) and glucose (linear range: 0.1-40 mu M) in physiological fluids, respectively. The fluorescence detection system showed ultrahigh sensitivity toward H2O2, with a linear range of 30-1500 nM. In addition, a one-step glucose detection strategy was proposed to replace the traditional, complicated two-step detection method, which simplifies the operation steps and improves the detection efficiency. The assay presented in this paper offers an effective multiple-enzymes mimicking detection platform that broaden its promising applications in biomedicine analysis and monitoring.

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