Integrating recognition peptide into a nanozyme to mimic uricase binding pocket as a multifunctional nanoplatform for highly selective uric acid recognition, sensing and degrading

IF 8 1区 化学 Q1 CHEMISTRY, ANALYTICAL Sensors and Actuators B: Chemical Pub Date : 2024-10-19 DOI:10.1016/j.snb.2024.136784
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Abstract

Nanozyme based colorimetric sensor for physiological biomarkers detection is becoming an increasingly influential technology in diagnosis, but the selective discrimination of biomarkers using single nanozyme without natural enzyme is greatly challenging. Here, a colorimetric detection platform for biomarker is successfully constructed by integrating recognition peptide (RGPT) into a nanozyme to mimic the binding pocket in natural enzyme. Firstly, RGPT-ultrafine palladium nanoparticles (PdNPs)@reduced graphene oxide (rGO) composite was facilely prepared using an arginine-rich RGPT. RGPT-PdNP@rGO composite displays outstanding laccase-like activity with Km being 0.075 mM at significantly low dosage used, which is one magnitude lower than that of natural enzyme. RGPT-PdNP@rGO nanozyme based one-step sensor can selectively detect uric acid (UA) with a comprehensive linear range from 0.2 to 110 μM and a limit of detection of 120 nM. Moreover, RGPT-PdNP@rGO composite displays an outstanding activity for UA oxidation with Km being 0.024 mM, revealing the nanozyme exhibits a similar affinity towards UA as natural uricase due to the cooperation of the three components. Compared with our previous work, these extremely improved UA recognition, sensing and degrading performances not only support the role of RGPT in enhancing with the recognition ability of the composite nanozyme for targeted UA, but also reveal the recognition role of RGPT is associated closely with inorganic components in the composite. This work provides more definitive and comprehensive information about multifunctional nanozymes for precise biomarker recognition by introducing recognition peptide, which is highly significant for applications beyond mimic-enzyme catalyst, including theranostic, sensing, and energy fields.
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将识别肽集成到纳米酶中以模拟尿酸酶结合口袋,作为高选择性尿酸识别、感知和降解的多功能纳米平台
基于纳米酶的比色传感器用于生理生物标记物的检测在诊断领域的影响力与日俱增,但使用不含天然酶的单一纳米酶对生物标记物进行选择性分辨却极具挑战性。本文通过在纳米酶中加入识别肽(RGPT)来模拟天然酶的结合口袋,成功构建了生物标记物的比色检测平台。首先,利用富含精氨酸的 RGPT 简单地制备了 RGPT-ultrafine 钯纳米颗粒(PdNPs)@还原氧化石墨烯(rGO)复合材料。RGPT-PdNP@rGO 复合材料显示出卓越的类似长酶的活性,其 Km 值为 0.075 mM,且用量极低,比天然酶的活性低一个量级。基于 RGPT-PdNP@rGO 纳米酶的一步式传感器可选择性地检测尿酸(UA),其线性范围为 0.2 至 110 μM,检测限为 120 nM。此外,RGPT-PdNP@rGO 复合材料对尿酸氧化显示出卓越的活性,其 Km 值为 0.024 mM,这表明由于三种成分的协同作用,纳米酶对尿酸的亲和力与天然尿酸酶相似。与我们之前的工作相比,这些极高的尿酸识别、感知和降解性能不仅支持了 RGPT 在增强复合纳米酶对目标尿酸的识别能力中的作用,而且揭示了 RGPT 的识别作用与复合材料中的无机成分密切相关。这项工作为多功能纳米酶通过引入识别肽来精确识别生物标记物提供了更明确、更全面的信息,对模拟酶催化剂以外的应用,包括治疗、传感和能源领域都具有重要意义。
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来源期刊
Sensors and Actuators B: Chemical
Sensors and Actuators B: Chemical 工程技术-电化学
CiteScore
14.60
自引率
11.90%
发文量
1776
审稿时长
3.2 months
期刊介绍: Sensors & Actuators, B: Chemical is an international journal focused on the research and development of chemical transducers. It covers chemical sensors and biosensors, chemical actuators, and analytical microsystems. The journal is interdisciplinary, aiming to publish original works showcasing substantial advancements beyond the current state of the art in these fields, with practical applicability to solving meaningful analytical problems. Review articles are accepted by invitation from an Editor of the journal.
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