结构上量身定制的铑金异质二聚体:等离子体增强氧化酶模拟物,通过比色传感方便茶叶认证。

IF 2.6 3区 化学 Q2 CHEMISTRY, ANALYTICAL
Kai-Xin Song, Xue-Qing Sang, Yan-Ying Zheng, Jin-Fang Nie, Yun Zhang, Wen-Xin Niu, Ya-Li Yuan
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引用次数: 0

摘要

虽然纳米酶在比色传感中显示出显着的潜力,但在复杂的分析场景中,传统的系统往往存在灵敏度和操作复杂性的问题。在此,一种新型异质结构纳米酶通过整合Au纳米颗粒和Rh纳米立方体来解决这一挑战。通过精确构建具有控制界面几何形状的立方球形Rh-Au异二聚体(二聚体),利用氧化TMB (oxTMB)的吸光度作为信号,实现了与单金属对应物相比,模拟氧化酶活性提高2.5倍,同时3,3',5,5'-四甲基联苯胺(TMB)氧化的活化能(Ea)降低(54±5)%。这一结果源于局部表面等离子体共振(LSPR)效应,它催化活性氧(ROS)的产生增加。以oxTMB的吸光度为信号,研制了一种基于铑金二聚体的多通道茶多酚鉴别和茶叶鉴定比色传感系统,消除了传统检测过程中对过氧化氢的要求。通过主成分分析(PCA)和层次聚类分析(HCA)对实验数据进行系统分析,对7种低至1 μM的多酚进行了有效分类。此外,7种成分的多酚混合物作为真实样品模拟物,以及不同储存时间、品牌和类型的不同茶叶样品,成功地进行了区分。所开发的比色传感平台为复杂茶叶样品中多酚的评价建立了可靠的分析框架,在食品质量监测领域具有很大的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structurally tailored Rh-Au heterodimers: plasmon-boosted oxidase mimetics for facile tea authentication via colorimetric sensing.

While nanozymes show remarkable potential in colorimetric sensing, conventional systems often suffer from compromised sensitivity and operational complexity in complex analytical scenarios. Herein, a novel heterostructured nanozyme by integrating Au nanoparticles with Rh nanocubes is engineered to address this challenge. By precisely constructing cubic-spherical Rh-Au heterodimers (dimers) with controlled interfacial geometry, a 2.5-fold enhancement in oxidase-mimetic activity compared to the monometallic counterpart is achieved along with a (54 ± 5)% decrease in the activation energy (Ea) for the oxidation of 3,3',5,5'-tetramethylbenzidine (TMB), using the absorbance of oxidized TMB (oxTMB) as the signal. This result arises from the localized surface plasmon resonance (LSPR) effect, which catalyzes the increased production of reactive oxygen species (ROS). Taking the absorbance of oxTMB as the signal, a multi-channel colorimetric sensing system for tea polyphenol discrimination and tea authentication is developed based on Rh-Au dimers, eliminating the conventional requirement for hydrogen peroxide in the detection process. The experimental data were systematically analyzed through principal component analysis (PCA) and hierarchical cluster analysis (HCA), enabling effective classification of seven polyphenols down to 1 μM. Besides, polyphenol mixtures of 7 components as the real sample mimics, together with diverse tea samples of different storage times, brands and types, are successfully differentiated. The developed colorimetric sensing platform establishes a robust analytical framework for polyphenol evaluation in complex tea samples, showing great potential in the field of food quality monitoring.

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来源期刊
Analytical Methods
Analytical Methods CHEMISTRY, ANALYTICAL-FOOD SCIENCE & TECHNOLOGY
CiteScore
5.10
自引率
3.20%
发文量
569
审稿时长
1.8 months
期刊介绍: Early applied demonstrations of new analytical methods with clear societal impact
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