基于三电纳米发电机的自供电生物传感器,用于双特异性细菌检测

IF 22.7 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Infomat Pub Date : 2023-12-15 DOI:10.1002/inf2.12508
Wei Lu, Xiaoqiang Wang, Congyu Wang, Ke Gong, Jiawei Li, Xue Li, Peng Wang
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引用次数: 0

摘要

致病菌和腐蚀性细菌对人类健康或经济福祉构成重大风险。因此,对这些细菌进行特异性、灵敏性和现场检测至关重要,但仍具有挑战性。受一抗和二抗免疫测定的启发,我们在此介绍一种以铜绿假单胞菌(P. aeruginosa)为检测模型、采用双特异性识别策略的微生物传感器(MS)的合理设计。在该传感器中,工程化的适配体是主要识别元件,而聚多巴胺-N-乙酰-D-半乳糖胺(PDA-Gal NAc)纳米粒子则是次要识别元件,它还将产生并放大输出电压信号的变化。为了实现自供电能力,质谱仪是基于三电纳米发电机(TENG)构建的,特定的适配体固定在 TENG 电极表面。制备的 MS-TENG 系统在外力作用下输出性能稳定,对铜绿假单胞菌具有很高的特异性,没有发现交叉反应。输出电压与铜绿假单胞菌浓度之间呈线性关系(R2 = 0.995),检测限约为 8.7 × 103 CFU mL-1。研究发现,PDA-Gal NAc 纳米粒子的使用在提高检测的特异性和可靠性方面发挥了重要作用,并通过计算模拟进一步阐明了其基本机制。此外,MS-TENG 还集成了无线通信模块,可在移动设备上实时监测细菌浓度。这项工作采用双重识别策略,适用于铜绿假单胞菌以外的各种细菌,为设计具有高特异性的自供电智能微生物传感器引入了一种开创性的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A self-powered biosensor based on triboelectric nanogenerator for dual-specificity bacterial detection

A self-powered biosensor based on triboelectric nanogenerator for dual-specificity bacterial detection

A self-powered biosensor based on triboelectric nanogenerator for dual-specificity bacterial detection

Pathogenic and corrosive bacteria pose a significant risk to human health or economic well-being. The specific, sensitive, and on-site detection of these bacteria is thus of paramount significance but remains challenging. Taking inspiration from immunoassays with primary and secondary antibodies, we describe here a rational design of microbial sensor (MS) under a dual-specificity recognition strategy using Pseudomonas aeruginosa (P. aeruginosa) as the detection model. In the MS, engineered aptamers are served as the primary recognition element, while polydopamine-N-acetyl-D-galactosamine (PDA-Gal NAc) nanoparticles are employed as the secondary recognition element, which will also generate and amplify changes in the output voltage signal. To achieve self-powering capability, the MS is constructed based on a triboelectric nanogenerator (TENG) with the specific aptamers immobilized on the TENG electrode surface. The as-prepared MS-TENG system exhibits good stability in output performance under external forces, and high specificity toward P. aeruginosa, with no cross-reactivity observed. A linear relationship (R2 = 0.995) between the output voltage and P. aeruginosa concentration is established, with a limit of detection estimated at around 8.7 × 103 CFU mL−1. The utilization of PDA-Gal NAc nanoparticles is found to play an important role in enhancing the specific and reliability of detection, and the underlying mechanisms are further clarified by computational simulations. In addition, the MS-TENG integrates a wireless communication module, enabling real-time monitoring of bacterial concentration on mobile devices. This work introduces a pioneering approach to designing self-powered smart microbial sensors with high specificity, using a double recognition strategy applicable to various bacteria beyond P. aeruginosa.

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来源期刊
Infomat
Infomat MATERIALS SCIENCE, MULTIDISCIPLINARY-
CiteScore
37.70
自引率
3.10%
发文量
111
审稿时长
8 weeks
期刊介绍: InfoMat, an interdisciplinary and open-access journal, caters to the growing scientific interest in novel materials with unique electrical, optical, and magnetic properties, focusing on their applications in the rapid advancement of information technology. The journal serves as a high-quality platform for researchers across diverse scientific areas to share their findings, critical opinions, and foster collaboration between the materials science and information technology communities.
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