| Literature DB >> 33459328 |
Xiongfeng Zhu1, Tianxing Man, Xing Haw Marvin Tan, Pei-Shan Chung, Michael A Teitell, Pei-Yu Chiou.
Abstract
We demonstrate a novel platform for mapping the pressure distribution of complex microfluidics networks with high spatial resolution. Our approach utilizes colorimetric interferometers enabled by lossy optical resonant cavities embedded in a silicon substrate. Detection of local pressures in real-time within a fluid network occurs by monitoring a reflected color emanating from each optical cavity. Pressure distribution measurements spanning a 1 cm2 area with a spatial resolution of 50 μm have been achieved. We applied a machine-learning-assisted sensor calibration method to generate a dynamic measurement range from 0 to 5.0 psi, with 0.2 psi accuracy. Adjustments to this dynamic measurement range are possible to meet different application needs for monitoring flow conditions in complex microfluidics networks, for the timely detection of anomalies such as clogging or leakage at their occurring locations.Entities:
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Year: 2021 PMID: 33459328 PMCID: PMC8000028 DOI: 10.1039/d0lc00960a
Source DB: PubMed Journal: Lab Chip ISSN: 1473-0189 Impact factor: 6.799