PVA/R-GO/PEI修饰纳米复合电极电化学检测尿路致病性大肠杆菌

Q1 Mathematics Engineered Science Pub Date : 2023-01-01 DOI:10.30919/es903
P. P.
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引用次数: 0

摘要

快速和选择性地检测微生物在临床分析和监测食品和水的质量中非常重要。本研究详细介绍了一种生物传感器的开发,该传感器使用电化学方法选择性地检测水和血清样品中的尿路致病性大肠杆菌(E. coli)细菌。该生物传感器采用一种简单而经济的方法,通过溶胶-凝胶自旋涂层工艺,将氧化石墨烯(r-GO)与聚乙烯醇(PVA)和聚乙烯亚胺(PEI)还原。PVA和PEI上的大量nh2基团被用于生物传感器表面的功能化。为了提高检测过程的特异性,使用抗菌膜大肠杆菌抗体在电极表面形成酰胺键。氧化还原介质阻止了免疫复合物的形成,并增强了PVA/rGO/ pei修饰层的电子传输以检测大肠杆菌。对大肠杆菌的电化学测试的发展说明了这些生物传感器的功效。仅使用5µL的样品,就发现这些生物传感器具有宽动态范围(915-2.5×10 7 CFU/mL)和低检测限(285 CFU/mL)。此外,该生物传感器在水、血清和尿液介质中表现良好,可用于临床诊断致病性疾病。这项研究强调了这些生物传感器在现实世界中的潜在应用。
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Electrochemical Detection of Uropathogenic Escherichia Coli Using PVA/R-GO/PEI Modified Nanocomposite Electrode
Detecting microorganisms quickly and selectively is extremely important in clinical analysis and in monitoring the quality of food and water. This study details the development of a biosensor that uses electrochemical methods to selectively detect uropathogenic Escherichia coli (E. coli) bacteria in both aqueous and serum samples. The biosensor was developed using a simple and cost-effective method involving reduced graphene oxide (r-GO) with PVA (Polyvinylalcohol) and PEI (Polyethylenimine) through a Sol-Gel spin coating process. The numerous NH 2 groups on the PVA and PEI were used to functionalize the biosensor's surface. To increase the specificity of the detection process, amide bonds were formed on the electrode surface using anti-fimbrial E. coli antibodies. The redox mediator prevents the formation of immunological complex and it enhances the transmission of electrons from the developed PVA/rGO/PEI-modified layer to detect E. coli. The development of an electrochemical test for Escherichia coli illustrated the efficacy of these biosensors. Using only 5 µL of the sample, it was discovered that these biosensors had a broad dynamic range (915-2.5×10 7 CFU/mL) and low limits of detection (285 CFU/mL). Moreover, the biosensor performed well in aqueous, serum, and urine media, making it potentially useful for the clinical diagnosis of pathogenic diseases. This study highlights the potential of these biosensors for real-world, point-of-care applications.
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来源期刊
Engineered Science
Engineered Science Mathematics-Applied Mathematics
CiteScore
14.90
自引率
0.00%
发文量
83
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