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Journal article
A new online monitoring method for water-in-oil droplet based microfluidic devices
IEEE sensors journal, pp 1-1
2022
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The online water-in-oil (w/o) droplet monitoring is essential for the uniformity of the droplet based microfluidic devices. In this work, a contactless impedance detection (CID) method for online w/o droplet monitoring in microfluidic devices is proposed. In the proposed method, a new CID sensor, which can work at low working frequency and overcome the unfavorable influence of coupling capacitance, is developed to obtain the impedance information of the w/o droplet. Based on the obtained impedance information, measurement models are established to realize online measurement of drop length and dispersed phase holdup. Then the coefficients of variation (CVs) of the two measured parameters are calculated to evaluate the uniformity of the droplets for online monitoring. Online monitoring experiments of w/o droplet were carried out in a microfluidic device with a 500 μm × 500 μm microchannel. The experimental results verify the effectiveness of the proposed droplet monitoring method. The developed CID sensor can realize impedance measurement at a working frequency lower than 50kHz. The drop length and dispersed phase holdup are useful parameters for online monitoring of droplets. With the established measurement models, the maximum relative error of droplet length measurement is less than 10% in the droplet length range of 1.5mm-3.5mm. And the maximum error of dispersed phase holdup measurement is less than 5% in the dispersed phase holdup range of 0.20-0.67.
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Details
- Title
- A new online monitoring method for water-in-oil droplet based microfluidic devices
- Creators
- Yuchen He - Zhejiang UniversityYu He - Zhejiang UniversityYandan Jiang - Zhejiang UniversityTao Zhang - Zhejiang UniversityHaifeng JiBaoliang Wang - Zhejiang UniversityZhiyao Huang - Zhejiang UniversityManuchehr Soleimani - University of Bath
- Publication Details
- IEEE sensors journal, pp 1-1
- Publisher
- IEEE
- Grant note
- 61573312 / National Natural Science Foundation of China
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Chemistry
- Web of Science ID
- WOS:000966862300001
- Scopus ID
- 2-s2.0-85132690686
- Other Identifier
- 991019335489704721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Electrical & Electronic
- Instruments & Instrumentation
- Physics, Applied