طراحي تراشه ريز سيال ديجيتال جهت تكثير كارآمد رشته‌هاي دي‌ان‌اي

In this research, an innovative digital microfluidic (DMF) platform was designed an‎d simulated to efficiently perform the Primer Exchange Reaction (PER). The significance of this work lies in addressing the limitations of conventional amplification techniques such as PCR, which rely on bulky thermocyclers, high reagent consumption, an‎d complex temperature control systems. These drawbacks increase cost, energy deman‎d, an‎d limit portability. Therefore, the main goal of this study was to develop a cost-effective, reliable, an‎d automated microfluidic system capable of performing molecular reactions with high efficiency.The chip architecture was designed using advanced scheduling, placement, an‎d routing algorithms within the SSS simulation environment, an‎d subsequently implemented in LEDIT, taking into account electrode dimensions, an integrated Joule heating mechanism, an‎d dro‎plet transportation paths. Furthermore, redundancy pathways were incorporated to enhance system reliability an‎d ensure continuous operation in the presence of hardware faults, such as a single-electrode failure.Simulation results revealed that the proposed DMF platform can successfully execute the PER reaction with high efficiency an‎d a total reaction time of approximately two hours. The optimized design significantly reduced reagent an‎d energy consumption while eliminating the need for an external thermocycler. The integrated Joule heating improved the compactness an‎d energy efficiency of the system, making it more compatible with portable biochip technologies. Reliability analysis confirmed that, even under electrode malfunction, redundant routing allowed the chip to maintain stable functionality without performance degradation.Overall, the proposed DMF-based PER platform demonstrates a remarkable balance between efficiency, cost reduction, an‎d fault tolerance, representing a major step toward the next generation of smart, portable, an‎d energy-efficient biochips. This advancement holds strong potential for rapid diagnostics, biotechnology, an‎d personalized medicine applications.

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