Programmable Microfluidic Devices (PMDs) are revolutionizing the traditional biochemical experiments due to their flexibility of performing various functionalities on a platform without any amendment in the underlying hardware. To enhance the inherent tractability of a PMD, microchannels are frequently shared among the operations; however, this leads to cross-contamination problem due to the residues trapped on the channel. For producing safe outcomes, a flow-level synthesis minimizing contamination as well as an efficient washing strategy become immediate requisites. Moreover, each unit of wash fluid possesses a finite capacity for washing and therefore, cannot clean the entire contaminated area on a chip. Hence, capacity-aware washing scheme is the urgent requirement to fulfil the practical constraints of a flow-layer design. In this paper, a design synthesis minimizing the amount of contamination is proposed which is followed by a model for wash optimization targeting to reduce wash time and total loss of capacity, while removing all the contaminations. The efficacy of the proposed synthesis and the washing scheme has been assessed considering various baseline approaches and the existing works on the same.

可编程微流控设备（PMD）革新了传统的生化实验，因为它们在平台上执行各种功能的灵活性而无需对底层硬件进行任何修改。为了增强PMD的固有易处理性，操作之间经常共享微通道；然而，由于残留在通道上的残留物，这导致了交叉污染的问题。为了产生安全的结果，将污染最小化的流平合成以及有效的洗涤策略成为当务之急。而且，每个洗涤液单元具有有限的洗涤能力，因此不能清洁芯片上的整个污染区域。因此，意识到容量的洗涤方案是满足流层设计的实际约束的迫切要求。在本文中，提出了一种将污染量最小化的设计综合方法，然后提出了一种针对洗涤优化的模型，该模型的目标是减少洗涤时间和总容量损失，同时消除所有污染。拟议的合成方法和洗涤方案的功效已通过考虑各种基准方法和基于该方法的现有工作进行了评估。