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Online fault detection method for digital microfluidic biochip on basis of reinforcement learning

A technology of reinforcement learning and digital microfluidics, which is applied to the analysis of materials and instruments, and can solve problems such as difficult experimental requirements and droplet control

Active Publication Date: 2020-05-12
GUILIN UNIV OF ELECTRONIC TECH
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Problems solved by technology

However, although the continuous flow microfluidic chip can complete many biochemical experiments, it cannot precisely and flexibly control the droplets, and it is difficult to meet the requirements of more demanding and complex experiments.

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  • Online fault detection method for digital microfluidic biochip on basis of reinforcement learning
  • Online fault detection method for digital microfluidic biochip on basis of reinforcement learning
  • Online fault detection method for digital microfluidic biochip on basis of reinforcement learning

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Embodiment Construction

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention.

[0042] see figure 1 , figure 1It is a schematic flowchart of an online fault detection method for a digital microfluidic biochip based on reinforcement learning provided by an embodiment of the present invention. Specifically, the fault online detection method of the digital microfluidic biochip based on reinforcement learning may include the following steps:

[0043] S101. Based on the grid method, the undirected graph method in graph theory and chip constraints, establish a mathematical model of the digital microfluidic chip.

[0044] In the embodiment of the present invention, the grid method divides the working environment into units and represents them with squares of equal size. The electrodes are calibrated as small grids one by one, and the experimental and test dro...

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Abstract

The invention discloses an online fault detection method for a digital microfluidic biochip on the basis of reinforcement learning. The method comprises the following steps of: establishing a mathematical model of the digital microfluidic biochip on the basis of a grid method, an undirected graph method in a graph theory and a chip constraint condition; obtaining set initial parameters based on areinforcement learning algorithm, a target number Max of algorithm iteration and information sharing time Tx, and establishing a Q table corresponding to each test liquid drop; selecting a next electrode of the test liquid drops based on the updating rule function, greedy function and tabu matrix of the reinforcement learning algorithm; and outputting target test time and the target paths of the test liquid drops based on a judgment condition. Through parallel online testing of multiple liquid drops, the utilization rate of the test liquid drops is increased, and the energy consumption problemof the test liquid drops is reduced; and therefore, the test liquid drops can optimize test paths in a short time, the fault detection of the chip is completed, and the reliability of the digital microfluidic chip is guaranteed.

Description

technical field [0001] The invention relates to the technical field of fault detection of digital microfluidic biochips, in particular to an online fault detection method of digital microfluidic biochips based on reinforcement learning. Background technique [0002] With the development of science and technology, microfluidic biochips have been applied in many fields of microelectronics, biochemistry and biomedicine, including drug discovery, high-throughput DNA sequencing, and environmental toxicity monitoring to replace traditional laboratory experiments. Microfluidics biochip can realize the sampling, separation, detection and other functions of traditional laboratories on an extremely small chip, so it is also called Lab-on-a-chip. The first generation of microfluidic biochips consisted of permanently etched micropumps, microvalves, and microchannels of glass or plastic or other polymers, whose actuation was based on the principle of continuous fluid flow. However, alth...

Claims

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Application Information

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IPC IPC(8): G01N35/00
CPCG01N35/00623
Inventor 许川佩曾莹黄喜军莫玮胡聪朱爱军陈涛
Owner GUILIN UNIV OF ELECTRONIC TECH
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