2023 Fiscal Year Annual Research Report
効率的にPMDを利用するための耐故障設計理論の構築
| Project/Area Number |
23KF0283
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| Research Institution | Ritsumeikan University |
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Principal Investigator |
山下 茂 立命館大学, 情報理工学部, 教授 (30362833)
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| Co-Investigator(Kenkyū-buntansha) |
KUNDU DEBRAJ 立命館大学, 研究部, 外国人特別研究員
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| Project Period (FY) |
2023-11-15 – 2024-03-31
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| Keywords | PMD / mixing / loading |
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| Outline of Annual Research Achievements |
To use programmable microfluidic devices (PMDs) efficiently, we propose a loading-aware, no-transport mixer placement algorithm. For a given target ratio and mixer size constraint, we design a two-phase satisfiability-based placement algorithm. In the first phase, we determine the size of the mixers and the reagent assignment to each of these mixers. In the second phase, we determine the placement of those mixers and the placement of the reagents within each mixer so that the overall fluid loading problem is simplified. Moreover, to determine a time-efficient mixer shape for PMD, we use COMSOL Multiphysics software to design various mixer models. Utilizing these models, we formulate a realistic mixing time estimation for PMD mixers and determine the overall operation time required to prepare the given target ratio. From these COMSOL based mixer models, we verify that the specific arrangement of two different reagents of particular volumes can affect the mixing time. From those models, we conclude that mixing time can be minimized when the reagents within a mixer are placed in a more scattered way. However, on the other hand, the loading complexity becomes more complex with the scatteredness of the reagents. This makes the design automation of the proposed problem very hard and interesting to solve. From exponentially different possible placements of the reagents within a mixer, we determine a heuristic and incorporate it in our satisfiability solver model to minimize the mixing time and also simultaneously simplify the loading problem.
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