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Feedback based automated detection analysis in Digital Microfluidic Biochip Systems

机译:基于反馈基于反馈数字微流体Biochip系统的自动检测分析

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Detection and analysis are major tasks for biochemical analysis required to be performed in digital microfluidic systems. With the development of heterogeneous photonic component integration technologies it has become possible to integrate miniaturized optical sensing technologies with the Microfluidic systems. This enables complex optical detection functions to be incorporated within the microfluidic platform. In this paper we proposed a design of a digital microfluidic system that uses a feedback based detection and analysis technique using multiple homogeneous sample based detection analyzers. The analyzers are connected in a feedback loop to discrete Biochips for dedicated majority based detection on specified bioassays. The initial detection is carried out on different individual samples in a centralized digital microfluidic biochip. Based on the initial detection results for each sample feedback signals have been generated. Such signals are employed for initiatiation of independent confirmatory detection of lower degree of presence of targeted parameters on individual bioassays separately. The experiment has been carried out for Bioassays involving detection of blood Glucose, Lactate and Pyruvate. The simulation results for the design along with automated detection analysis results are found to be encouraging.
机译:检测和分析是在数字微流体系统中进行的生物化学分析的主要任务。随着异构光子分量集成技术的发展,可以将小型化光学传感技术与微流体系统集成。这使得能够结合在微流体平台内的复杂光学检测功能。在本文中,我们提出了一种数字微流体系统,使用基于反馈的检测和分析技术的基于多种均匀的样品的检测分析仪。分析仪在反馈回路中连接到离散的Biochips,用于在指定的生物测定中进行基于专用的多数检测。初始检测在集中式数字微流体Biochip中的不同单个样本上进行。基于生成每个样本反馈信号的初始检测结果。这些信号用于分别对各个生物测定的靶向参数的较低程度的靶向参数的独立验证检测。该实验已经进行了涉及检测血糖,乳酸和丙酮酸血糖的生物测定。发现设计的仿真结果以及自动检测分析结果令人鼓舞。

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