纳米结构
半胱氨酸
酶
化学
金属
纳米技术
材料科学
组合化学
生物化学
有机化学
作者
Zhiwei Wei,Li Yang,Minghui Ou,Yi Xie,Changsheng Zhao
出处
期刊:ACS Sustainable Chemistry & Engineering
[American Chemical Society]
日期:2024-02-21
卷期号:12 (9): 3608-3620
被引量:2
标识
DOI:10.1021/acssuschemeng.3c06602
摘要
Green synthesis of multienzyme-like materials with low energy consumption and high economic added value remains challenging; thus, exploring economical and environmentally friendly strategies to develop multienzyme-like platforms is of great significance. Herein, a biomass (polyphenols)-based strategy to develop cost-efficient and high-performance platforms (manganese-tannic acid enzyme mimics, TAnc-Mnx-y platforms) with multienzyme-mimetic capacities is developed via the mineralization of metal–phenolic networks (MPNs) in an aqueous solution. This green synthesis strategy requires only water as a solvent and polyphenols and metal ions as feedstocks and requires no additional energy supply, making it simple and cheap. The mineralization process realizes the generation of MnOx-TA petals, which endows TAnc-Mnx-y with the flower-like surface, therefore enhancing the surface area and pore size. Benefiting from the flower-like surface and MnOx active sites, TAnc-Mnx-y with enhanced surface area and pore sizes displays exceptional oxidase (OXD)-, peroxidase (POD)-, and catalase (CAT)-mimetic activities. Excitingly, TAnc-Mnx-y could realize fast l-cysteine detection owing to their excellent OXD-mimetic activity. Colorimetric studies of TAnc-Mnx-y have shown a relatively wide detection range (8.26–90.86 μM), a fast detection speed (2 min), and a significantly low detection limit (2.28 μM) for l-cysteine detection. Moreover, TAnc-Mnx-y displays remarkable resistance to harsh environments and excellent selectivity among the other amino acids. In addition, the blood experiments also confirm the excellent biocompatibility of TAnc-Mnx-y. We believe that this study not only overcomes the current limitation of the synthesis for multienzyme-like nanoplatforms but also provides interesting insights for developing sensitive and selective methods for l-cysteine detection.
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