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Development of a self-driving bioassay based on diffusion for simple detection of microorganisms

机译:基于扩散的自动驾驶生物测定方法的开发,用于微生物的简单检测

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A self-driving, thermal-diffusion-based bioassay for the detection of microorganisms in a liquid medium is presented in this paper. In the bioassay, each particle functions as an individual sensing probe. Thus, the representative Brownian velocity of microparticles can be obtained by analyzing the velocity histogram of each particle. The ensemble average was used to enhance peak Brownian velocity. Relative error was reduced to 0.5% when the number of counted particles exceeded 60. The experimentally measured and theoretically derived Brownian velocities and diameters of the particles were in good agreement. The relative standard deviations of the temporal stability and reproducibility of the bioassay were maintained below 1.2%. A calibration curve was constructed and used to distinguish two mixed colloidal suspensions to provide proof that the bioassay can be used in practical applications. The particles were functionalized with antibodies to enable the real biological application of the bioassay in the capture and detection of motile Pseudomonas aeruginosa and nonmotile Staphylococcus aureus. The diffusivity values of both bacterial growth media decreased as bacterial concentration increased. Given that the viscosity of the growth media varied as bacteria proliferated, additional bacteria-free reference particles were added to the medium to provide dynamic background information. The diffusion-based bioassay presented here is easy to use, robust, and highly reliable. In contrast to most existing biosensors, it does not require an external power source and is thus ideal for use in resource-limited areas.
机译:本文提出了一种基于自动驾驶,热扩散的生物测定法,用于检测液体介质中的微生物。在生物测定中,每个粒子都充当单独的传感探针。因此,可以通过分析每个颗粒的速度直方图来获得代表性的布朗速度。集合平均用于增强峰值布朗速度。当计数的粒子数超过60时,相对误差降低到0.5%。通过实验测量和理论推导的布朗速度和粒子直径非常吻合。生物测定的时间稳定性和可重复性的相对标准偏差保持在1.2%以下。构建了校准曲线,并将其用于区分两种混合的胶体悬浮液,以提供证明该生物测定可以在实际应用中使用的证据。用抗体对颗粒进行功能化,以使生物测定法能够真正地生物学应用到运动型铜绿假单胞菌和非运动型金黄色葡萄球菌的捕获和检测中。随着细菌浓度的增加,两种细菌生长培养基的扩散率值均降低。假设生长培养基的粘度随细菌的繁殖而变化,则将其他无细菌的参比颗粒添加到培养基中以提供动态背景信息。本文介绍的基于扩散的生物测定法易于使用,稳定且高度可靠。与大多数现有的生物传感器相比,它不需要外部电源,因此非常适合在资源有限的地区使用。

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