Doughnut-shaped bimetallic Cu–Zn-MOF with peroxidase-like activity for colorimetric detection of glucose and antibacterial applications

IF 5.6 1区 化学 Q1 CHEMISTRY, ANALYTICAL
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引用次数: 0

Abstract

Metal–organic frameworks (MOFs), especially bimetallic MOFs, have attracted widespread attention for simulating the structure and function of natural enzymes. In this study, different morphologies of bimetallic Cu–Zn-MOF with different peroxidase (POD)-like activities were prepared by simply controlling the molar ratio of Cu2+ and Zn2+. Among them, the doughnut-shaped Cu9–Zn1-MOF exhibited the largest POD-like activity. Cu9–Zn1-MOF was combined with glucose oxidase to construct a sensitive and selective glucose colorimetric biosensor with a linear detection range of 10–300 μM and a detection limit of 7.1 μm. Furthermore, Cu9–Zn1-MOF can efficiently convert hydrogen peroxide (H2O2) into hydroxyl radicals that effectively kill both gram-negative and gram-positive bacteria at low H2O2 level. The results of this study may promote the synthesis of bimetallic MOFs and broaden their applications in the biomedical field.

Abstract Image

具有过氧化物酶样活性的圆环状双金属 Cu-Zn-MOF 可用于葡萄糖的比色检测和抗菌应用
金属有机框架(MOFs),尤其是双金属 MOFs,在模拟天然酶的结构和功能方面受到广泛关注。本研究通过简单控制 Cu2+ 和 Zn2+ 的摩尔比,制备了具有不同过氧化物酶(POD)活性的不同形态的双金属 Cu-Zn-MOF 。其中,圆环状的 Cu9-Zn1-MOF 表现出最大的类过氧化物酶活性。Cu9-Zn1-MOF 与葡萄糖氧化酶结合,构建了一种灵敏的、选择性的葡萄糖比色生物传感器,其线性检测范围为 10-300 μM,检测限为 7.1 μm。此外,Cu9-Zn1-MOF 还能有效地将过氧化氢(H2O2)转化为羟基自由基,从而在低 H2O2 水平下有效杀死革兰氏阴性菌和革兰氏阳性菌。本研究的结果可促进双金属 MOFs 的合成,并拓宽其在生物医学领域的应用。
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来源期刊
Talanta
Talanta 化学-分析化学
CiteScore
12.30
自引率
4.90%
发文量
861
审稿时长
29 days
期刊介绍: Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome. Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.
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