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单组件多通道传感器阵列用于快速鉴定细菌。

One-Component Multichannel Sensor Array for Rapid Identification of Bacteria.

机构信息

State Key Laboratory of Natural Medicines and National R&D Center for Chinese Herbal Medicine Processing, Department of Food Quality and Safety, College of Engineering, China Pharmaceutical University, Nanjing 211109, China.

Ming Wai Lau Centre for Reparative Medicine, Karolinska Institutet, Stockholm 17177, Sweden.

出版信息

Anal Chem. 2022 Jul 19;94(28):10291-10298. doi: 10.1021/acs.analchem.2c02236. Epub 2022 Jul 8.

Abstract

Bacterial infections routinely cause serious problems to public health. To mitigate the impact of bacterial infections, sensing systems are urgently required for the detection and subsequent epidemiological control of pathogenic organisms. Most conventional approaches are time-consuming and highly instrument- and professional operator-dependent. Here, we developed a novel one-component multichannel array constructed with complex systems made from three modified polyethyleneimine as well as negatively charged graphene oxide, which provided an information-rich multimode response to successfully identify 10 bacteria within minutes via electrostatic interactions and hydrophobic interactions. Furthermore, the concentration of bacteria (from OD = 0.025 to 1) and the ratio of mixed bacteria were successfully achieved with our smart sensing system. Our designed sensor array also exhibited huge potential in biological samples, such as in urine (OD = 0.125, 94% accuracy). The way to construct a sensor array with minimal sensor element with abundant signal outputs tremendously saves cost and time, providing a powerful tool for the diagnosis and assessment of bacterial infections in the clinic.

摘要

细菌感染经常对公共卫生造成严重问题。为了减轻细菌感染的影响,迫切需要传感系统来检测和随后对病原体进行流行病学控制。大多数常规方法既耗时又高度依赖仪器和专业操作人员。在这里,我们开发了一种新型的单组件多通道阵列,该阵列由三种经过修饰的聚乙烯亚胺以及带负电荷的氧化石墨烯组成的复杂系统构建而成,通过静电相互作用和疏水相互作用,该系统可提供丰富的多模式响应,从而在几分钟内成功识别出 10 种细菌。此外,我们的智能传感系统还可以成功检测到细菌的浓度(从 OD = 0.025 到 1)和混合细菌的比例。我们设计的传感器阵列在尿液等生物样本中也表现出巨大的潜力(OD = 0.125,准确率为 94%)。用最少的传感器元件构建具有丰富信号输出的传感器阵列的方法极大地节省了成本和时间,为临床中细菌感染的诊断和评估提供了有力工具。

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