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玻璃基板上常闭弹性体阀门的低聚物冲压技术优化

Optimization of Oligomer Stamping Technique for Normally Closed Elastomeric Valves on Glass Substrate.

作者信息

Dungan Joel, Mathews Juanita, Levin Michael, Koomson Valencia

机构信息

Electrical Engineering Department, Tufts University, Medford, MA 02155, USA.

Biology Department, Tufts University, Medford, MA 02155, USA.

出版信息

Micromachines (Basel). 2023 Aug 25;14(9):1659. doi: 10.3390/mi14091659.

Abstract

Microscale elastomeric valves are an integral part of many lab-on-chip applications. Normally closed valves require lower actuation pressures to form tight seals, making them ideal for portable devices. However, fabrication of normally closed valves is typically more difficult because the valve structure must be selectively bonded to its substrate. In this work, an oligomer stamping technique for selective bonding of normally closed valves is optimized for bonding of PDMS devices on glass substrates. Contact angle and blister bursting testing measurements are used to quantitatively characterize the oligomer stamping process for the first time, and recommendations are made for plasma treatment conditions, microstamping technique, and valve construction. Glass-PDMS devices are ideal for lab-on-chip systems that integrate electrodes on the rigid glass substrate. Here, integrated electrodes are used to assess valve performance, demonstrating electrical isolation in excess of 8 MΩ over the biologically relevant frequency range in the closed state. Further, electrical measurement is used to demonstrate that the valve design can operate under a pulsed actuation scheme, sealing to withstand fluid pressures in excess of 200 mbar.

摘要

微尺度弹性体阀门是许多芯片实验室应用的重要组成部分。常闭阀门形成紧密密封所需的驱动压力较低,这使其成为便携式设备的理想选择。然而,常闭阀门的制造通常更困难,因为阀门结构必须选择性地与基底键合。在这项工作中,针对玻璃基底上聚二甲基硅氧烷(PDMS)装置的键合,对用于常闭阀门选择性键合的低聚物压印技术进行了优化。首次使用接触角和泡点破裂测试测量来定量表征低聚物压印过程,并针对等离子体处理条件、微压印技术和阀门结构提出了建议。玻璃-PDMS装置对于在刚性玻璃基底上集成电极的芯片实验室系统来说是理想的。在此,集成电极用于评估阀门性能,结果表明在关闭状态下,在生物相关频率范围内电气隔离超过8 MΩ。此外,电学测量用于证明该阀门设计可在脉冲驱动方案下运行,密封状态下能承受超过200毫巴的流体压力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8df/10534499/3284edc69d1d/micromachines-14-01659-g001.jpg

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