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一种基于石墨烯的过氧化物酶样纳米酶的绿色简便制备方法及其在 L-半胱氨酸灵敏比色检测中的应用。

A green and facile approach to a graphene-based peroxidase-like nanozyme and its application in sensitive colorimetric detection of L-cysteine.

机构信息

CAS Key Laboratory of High Magnetic Field and Ion Beam Physical Biology, Anhui Key Laboratory of Environmental Toxicology and Pollution Control Technology, Hefei Institute of IntelligentAgriculture, Institute of Intelligent Machines,Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, 230031, Anhui, China.

Science Island Branch of Graduate School, University of Science and Technology of China, Hefei, 230026, Anhui, China.

出版信息

Anal Bioanal Chem. 2021 Jun;413(15):4013-4022. doi: 10.1007/s00216-021-03352-1. Epub 2021 May 7.

DOI:10.1007/s00216-021-03352-1
PMID:33961104
Abstract

A facile and green approach to the preparation of peroxidase-like nanozymes by reducing and functionalizing graphene oxide (rGO) with Ganoderma polysaccharide (GP) has been achieved in this work. Our results showed that the as-fabricated nanozyme, namely rGO-GP, possessed the excellent property of simulating peroxidase with higher catalytic activity compared with GO or rGO obtained by using chitosan, which may be due to the better dispersion of rGO-GP in the solution. Steady-state kinetics studies further showed that the catalytic process conformed to Michaelis-Menten equation and ping-pong mechanism. Benefiting from the excellent peroxidase property of rGO-GP, we have also successfully established a highly sensitive and selective colorimetric detection approach to trace detection of L-cysteine (L-Cys). The limit of detection (LOD) of L-cysteine is 0.1 μM and the linear detection range is 2-30 μM. Furthermore, the nanozyme was successfully applied for detecting L-cysteine in serum. This work therefore demonstrates the advantages of rGO-GP as an effective nanozyme in both its green synthesis and detecting application.

摘要

本工作采用一种简便、绿色的方法,通过还原和功能化氧化石墨烯(rGO)与灵芝多糖(GP)制备了类过氧化物酶纳米酶。研究结果表明,所制备的纳米酶 rGO-GP 具有模拟过氧化物酶的优异性能,其催化活性明显高于壳聚糖还原得到的 GO 或 rGO,这可能是由于 rGO-GP 在溶液中具有更好的分散性。稳态动力学研究进一步表明,催化过程符合米氏方程和乒乓机制。得益于 rGO-GP 优异的过氧化物酶性能,我们还成功建立了一种高灵敏、高选择性的比色检测方法,用于痕量检测 L-半胱氨酸(L-Cys)。L-半胱氨酸的检测限(LOD)为 0.1 μM,线性检测范围为 2-30 μM。此外,该纳米酶还成功应用于血清中 L-半胱氨酸的检测。因此,本工作证明了 rGO-GP 在绿色合成和检测应用方面作为有效纳米酶的优势。

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