Multicolor Gold Clusterzyme-Enabled Construction of Ratiometric Fluorescent Sensor Array for Visual Biosensing.

IF 6.7 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Xiaomeng Zhou, Saijin Huang, Wenfeng Guo, Wenfeng Liu, Mengyao Wen, Li Shang
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Abstract

The simultaneous detection of multiple bioanalytes with similar structures has been a long-standing challenge for biological research and disease diagnosis. Bioreceptor-inspired sensor arrays provide an attractive and competitive solution for addressing this challenge, but applying this technique to biosensing in practical application scenarios is complicated by many factors such as the lack of robust probes, interference from the biological matrix, and difficulty for on-site analysis. In this work, by taking advantage of the intrinsic fluorescence and enzyme-mimic properties of gold nanoclusters (AuNCs), we report the design of an innovative ratiometric sensor array toward enhanced fluorescent visual biosensing. With biologically important phosphates as an example, we show that the present fluorescent clusterzyme-based ratiometric sensor array could effectively discriminate and detect eight types of phosphates. In particular, AuNCs with three different emission colors (blue, green, and red) and good peroxidase-mimic properties were employed as the sensing units, and the presence of phosphates affected both the intrinsic fluorescence and the enzymatic activity of these AuNCs, yielding distinct optical responses in a ratiometric manner. Moreover, a portable sensor array was established by further integrating these fluorescent clusterzymes into a hydrogel matrix, which could visually identify different phosphates based on their distinct fluorescence color changes. Consequently, the point-of-care diagnosis of urinary tract infections at different levels was achieved by analyzing urinary microbial ATP via the present strategy. This study illustrates the great potential of clusterzyme-based fluorescent sensor arrays as a promising biosensing platform for disease diagnosis.

Abstract Image

利用多色金簇酶构建用于视觉生物传感的比率荧光传感器阵列。
同时检测具有相似结构的多种生物分析物一直是生物研究和疾病诊断面临的挑战。受生物受体启发的传感器阵列为解决这一难题提供了极具吸引力和竞争力的解决方案,但由于缺乏稳健的探针、生物基质的干扰以及现场分析的困难等诸多因素,将这一技术应用于生物传感的实际应用场景变得十分复杂。在这项工作中,我们利用金纳米团簇(AuNCs)的固有荧光和酶模拟特性,设计了一种创新的比率测量传感器阵列,用于增强荧光视觉生物传感。以对生物具有重要意义的磷酸盐为例,我们发现这种基于荧光簇酶的比率传感器阵列可以有效地分辨和检测八种磷酸盐。特别是,我们采用了具有三种不同发射颜色(蓝色、绿色和红色)和良好过氧化物酶模拟特性的 AuNCs 作为传感单元,磷酸盐的存在同时影响了这些 AuNCs 的固有荧光和酶活性,从而产生了不同的光学比度反应。此外,通过将这些荧光簇酶进一步整合到水凝胶基质中,还建立了一种便携式传感器阵列,该阵列可根据荧光颜色的不同变化直观地识别不同的磷酸盐。因此,通过本策略分析尿液中微生物的 ATP,可实现不同程度的尿路感染的床旁诊断。这项研究表明,基于聚类酶的荧光传感器阵列作为一种用于疾病诊断的生物传感平台具有巨大的潜力。
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来源期刊
Analytical Chemistry
Analytical Chemistry 化学-分析化学
CiteScore
12.10
自引率
12.20%
发文量
1949
审稿时长
1.4 months
期刊介绍: Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.
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