传感器阵列
组分(热力学)
细菌
化学
鉴定(生物学)
纳米技术
生物系统
计算生物学
计算机科学
生物
遗传学
材料科学
物理
机器学习
植物
热力学
作者
Hao Wang,Lingjia Zhou,Jiaojiao Qin,Jiahao Chen,Callum Stewart,Yimin Sun,Hui Huang,Lian Xu,Linxian Li,Jinsong Han,Fei Li
出处
期刊:Analytical Chemistry
[American Chemical Society]
日期:2022-07-08
卷期号:94 (28): 10291-10298
被引量:62
标识
DOI:10.1021/acs.analchem.2c02236
摘要
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 OD600 = 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 (OD600 = 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.
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