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基于还原氧化石墨烯-二硫化钛碳化物(rGO-TiCT MXene)纳米复合材料的无标记电化学白细胞介素-6传感器

Label-Free Electrochemical Interleukin-6 Sensor Exploiting rGO-TiCT MXene Nanocomposites.

作者信息

Gupta Rohit, Kalkal Ashish, Mandal Priya, Paital Diptiranjan, Brealey David, Tiwari Manish K

机构信息

Nanoengineered Systems Laboratory, UCL Mechanical Engineering, University College London, London WC1E 7JE, U.K.

UCL Hawkes Institute, University College London, London W1W 7TS, U.K.

出版信息

ACS Appl Mater Interfaces. 2025 Aug 6;17(31):44112-44122. doi: 10.1021/acsami.5c06701. Epub 2025 Jul 24.

DOI:10.1021/acsami.5c06701
PMID:40704602
Abstract

This work introduces a novel, rapid, label-free, affinity-enabled electrochemical sensor for the detection of interleukin-6 (IL-6), a critical proinflammatory cytokine associated with severe conditions like sepsis and COVID-19. Unlike conventional approaches, this platform leverages an innovative biofunctional nanocomposite of TiCT MXene, tetraethylene pentaamine-functionalized reduced graphene oxide (TEPA-rGO), and Nafion, functionalized with anti-IL-6 antibodies, integrated into a carbon-based screen-printed three-electrode chip. The system achieves unprecedented sensitivity in IL-6 quantification, with a single-digit pg/mL detection limit and a broad range of 3-1000 pg/mL using ∼5 μL of serum. The sensor design is uniquely enhanced through the introduction of a genetic algorithm-based thin-layer diffusion model, which optimizes critical, previously unknown electrochemical transport parameters, including diffusion coefficient, rate constant, charge transfer coefficient, and electrochemically active surface area. This approach represents a significant advancement in biosensor modeling and performance tuning. The sensor demonstrates exceptional selectivity (signal-to-noise ratio ∼ 6.9) against relevant interferents (e.g., sepsis-related antigens, small molecules, electroactive compounds), retains operational stability for a month, and offers a sample-to-answer time of ∼15 min (i.e., up to 12 times faster than traditional ELISA), while maintaining comparable sensitivity. Detailed morphological, topographical, and chemical analyses validate the structural and functional integrity of the TEPA-rGO/MXene/Nafion nanocomposite. By combining cutting-edge nanomaterials with advanced computational modeling, this IL-6 sensor sets a new benchmark for rapid, precise cytokine detection, offering transformative potential for early disease diagnosis and prognosis.

摘要

这项工作介绍了一种新型、快速、无标记、基于亲和作用的电化学传感器,用于检测白细胞介素-6(IL-6),这是一种与败血症和新冠肺炎等严重病症相关的关键促炎细胞因子。与传统方法不同,该平台利用了一种创新的生物功能纳米复合材料,它由TiCT MXene、四乙烯五胺功能化的还原氧化石墨烯(TEPA-rGO)和用抗IL-6抗体功能化的Nafion组成,并集成到基于碳的丝网印刷三电极芯片中。该系统在IL-6定量方面实现了前所未有的灵敏度,使用约5μL血清时,检测限为个位数pg/mL,检测范围宽达3 - 1000 pg/mL。通过引入基于遗传算法的薄层扩散模型,独特地增强了传感器设计,该模型优化了关键的、以前未知的电化学传输参数,包括扩散系数、速率常数、电荷转移系数和电化学活性表面积。这种方法代表了生物传感器建模和性能调整方面的重大进展。该传感器对相关干扰物(如败血症相关抗原、小分子、电活性化合物)表现出卓越的选择性(信噪比约为6.9),保持一个月的操作稳定性,提供约15分钟的样本到答案时间(即比传统酶联免疫吸附测定法快多达十二倍),同时保持相当的灵敏度。详细的形态、形貌和化学分析验证了TEPA-rGO/MXene/Nafion纳米复合材料的结构和功能完整性。通过将前沿纳米材料与先进的计算建模相结合,这种IL-6传感器为快速、精确的细胞因子检测树立了新标杆,为疾病早期诊断和预后提供了变革性潜力。

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本文引用的文献

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Non-invasive ultra-sensitive detection of breast cancer biomarker using cerium nanoparticle functionalized graphene oxide enabled impedimetric aptasensor.基于功能化氧化石墨烯的铈纳米粒子的阻抗适体传感器用于超灵敏检测乳腺癌生物标志物的非侵入性方法。
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