Optimizing of Thermal Cycler Control in Microfluidic PCR System

Abstract:

Microfluidic PCR implements the PCR as a continuous process for nucleic acid analytics. Main fields of application are the monitoring of continuous processes for rapid identification of contaminants and quality control as well as high throughput screening of cells or microorganisms. The special heater arrangement allows the implementation of up to 40 cycles on the footprint of a sample. Precise temperature control is the key factor of PCR instrument, and optimal algorithm occupies an important position in this instrument. In order to optimizing the microfluidic PCR system thermal cycler perfomants, fuzzy-PID algorithm was designed, which would replace the lead correction algorithm. The simulation model was constructed and experimented with the use of the Simulink of Matlab software．The simulation results show that overshoot of lead correction algorithm is 8.5%, adjustment time is 3.4s. Overshoot of fuzzy-PID algorithm is 1.45%, adjustment time is only 1.94 s. Obviously, fuzzy-PID algorithm would overcome the defect of large overshoot of traditional PID, and the adjustment time becomes shorter also.

• Periodical: Applied Mechanics and Materials (Volumes 263-266)
• Pages: 713-717
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.263-266.713
• Online since: December 2012
• Authors: Li Li, Ling Zhu, Qin Jiang, Gang Liu
• Keywords: Algorithm (GA), Fuzzy PID, Lead Correct Algorithm, Microfluidic PCR, Thermal Cycler Control

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