Issue 9, 2024

Boosting the LAC-like activity of tetrapeptide capped copper nanoparticle-based nanozymes for colorimetric determination of adrenaline

Abstract

Enzymatic activity is important for a variety of technological applications, but the limited stability and complex structures of enzymes often limit their use. Therefore, designing powerful nanomaterial catalysts that are more stable and have higher catalytic activity than natural catalysts has been the pursuit of biotechnology. Here, inspired by electron transfer and the active site of laccase (LAC), four types of copper particles with LAC-like activity were synthesized using a simple hydrothermal method. Copper particles coated with the L-phenylalanine (F)-L-phenylalanine (F)-L-cysteine (C)-L-histidine (H) tetrapeptide exhibited higher LAC-like activity compared to those coated with a CH dipeptide, C, and H. This enhancement could be attributed to the higher structural homology and amino acid composition similarity with the natural LAC active center. The FFCH@CuNP nanozyme was employed for adrenaline detection, and it demonstrated outstanding activity, stability, and recyclability. Additionally, a method for the quantitative detection of adrenaline was established using a smartphone based on the FFCH@CuNP nanozymes. And the FFCH@CuNPs exhibited excellent sensitivity and specificity to adrenaline in a saliva-based test. Therefore, this work provides a reasonable pathway for the design of catalysts for future biotechnological and industrial applications.

Graphical abstract: Boosting the LAC-like activity of tetrapeptide capped copper nanoparticle-based nanozymes for colorimetric determination of adrenaline

Supplementary files

Article information

Article type
Paper
Submitted
29 Dec 2023
Accepted
29 Jan 2024
First published
02 Feb 2024

Anal. Methods, 2024,16, 1383-1389

Boosting the LAC-like activity of tetrapeptide capped copper nanoparticle-based nanozymes for colorimetric determination of adrenaline

L. Tian, L. Qi, Y. Liu, Z. Zhao and W. Liu, Anal. Methods, 2024, 16, 1383 DOI: 10.1039/D3AY02328A

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