Copper ions coordination-promoted self-assembly of DNA nanoflowers as cascade catalytic nanoreactor for colorimetric biosensor.

IF 5.6 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Talanta Pub Date : 2025-01-01 Epub Date: 2024-10-15 DOI:10.1016/j.talanta.2024.127049
Zhenjie Qiao, Shuzhen Yue, Xiaoyue Zhang, Pengfei Shi, Shuzhen Lv, Sai Bi
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Abstract

The controllable geometry and multifunctionality of DNA nano-bioreactors hold immense promise for disease diagnosis. Herein, a facile rolling circle amplification (RCA)-based crystallization method has been developed for highly efficient self-assembly of three-dimensional (3D) DNA nano-bioreactors, which show excellent cascade catalytic performance by confining bio-enzyme (glucose oxidase (GOx) used in this case) and copper ions (Cu2+) in DNA nanoflowers (DNFs) structure. The participation of Cu2+ during the self-assembly process not only endows the nano-bioreactors (designated as GOx/Cu@DNFs) with inspiring peroxidase-like activity but also greatly improves the assembly efficiency and yield via the effective coordination between Cu2+ and RCA-generated long concatemeric DNAs. The integration of GOx and Cu2+ in the constrained flower-like DNA nanomatrices makes for the efficient inter-catalyst communication, resulting in the striking enhancement of biocatalytic cascade activity. Based on the prepared nano-bioreactors, a colorimetric biosensor has been constructed for glucose detection, achieving a wide linear range (2-400 μM) and a low detection limit (0.45 μM). Furthermore, the proposed sensing strategy enables the accurate determination and discrimination of glucose levels in healthy and diabetic sera, delivering gratifying outcomes. Overall, the meticulously crafted cascade nano-bioreactors not only illuminate the design of multifunctional nanomaterials based on RCA, but also expand the conceptual framework of the universal analytical method for determining small molecules with catalytic reactions to generate H2O2.

铜离子配位促进 DNA 纳米花的自组装,作为比色生物传感器的级联催化纳米反应器。
DNA 纳米生物反应器的可控几何形状和多功能性为疾病诊断带来了巨大前景。在此,我们开发了一种基于滚圆放大(RCA)的简便结晶方法,用于高效自组装三维(3D)DNA 纳米生物反应器,这种反应器通过将生物酶(本例中使用的是葡萄糖氧化酶(GOx))和铜离子(Cu2+)限制在 DNA 纳米花(DNFs)结构中,显示出卓越的级联催化性能。Cu2+ 在自组装过程中的参与不仅赋予了纳米生物反应器(命名为 GOx/Cu@DNFs)鼓舞人心的过氧化物酶样活性,而且通过 Cu2+ 与 RCA 生成的长连接 DNA 之间的有效配位,大大提高了组装效率和产量。GOx 和 Cu2+ 在受约束的花朵状 DNA 纳米结构中的整合使得催化剂之间可以进行有效的交流,从而显著提高了生物催化级联活性。基于制备的纳米生物反应器,构建了一种用于葡萄糖检测的比色生物传感器,实现了宽线性范围(2-400 μM)和低检测限(0.45 μM)。此外,所提出的传感策略还能准确测定和区分健康血清和糖尿病血清中的葡萄糖水平,结果令人满意。总之,精心制作的级联纳米生物反应器不仅阐明了基于 RCA 的多功能纳米材料的设计,还拓展了利用催化反应生成 H2O2 来测定小分子的通用分析方法的概念框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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