Microdroplet event recognition and volume detection system based on flexible printed circuit electrode Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.1088/1742-6596/1520/1/012004
Changes of microdroplet volume and the occurrence of different droplet events will exert a significant influence on droplet-based microfluidics. Droplet volume is closely related to reagent consumption and hydrodynamic resistance while droplet events reflect actual microchannel conditions. Based on current research, this work was dedicated to fabricate a reliable microdroplet sensing system with event recognition and volume detection function. Signal acquisition was on the basis of capacitance coupled detection and the coplanar fork sensing electrode was fabricated by flexible printed circuit(FPC) which was tens of times cheaper than photolithography. Wave peaks will appear while ink droplets traverse over the fork electrode from above. Shape features of waveform were used to recognize some simple droplet events and the period was employed to calculate droplet volume. Through experimental verification, droplet generation and droplet merging events could be recognized and distinguished by the system. In addition, the detection error between the theoretical volume calculated from formula and the actual volume derived from image analysis was less than 0.5 nL. The sensing system possesses the potential to achieve high throughput detection and surely can be employed to recognize more complicated droplet events in the future.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1742-6596/1520/1/012004
- https://iopscience.iop.org/article/10.1088/1742-6596/1520/1/012004/pdf
- OA Status
- diamond
- Cited By
- 3
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3036340588
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3036340588Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1088/1742-6596/1520/1/012004Digital Object Identifier
- Title
-
Microdroplet event recognition and volume detection system based on flexible printed circuit electrodeWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-04-01Full publication date if available
- Authors
-
Xiaoming Han, Zhen Su, Ying Xu, Quanjun LiuList of authors in order
- Landing page
-
https://doi.org/10.1088/1742-6596/1520/1/012004Publisher landing page
- PDF URL
-
https://iopscience.iop.org/article/10.1088/1742-6596/1520/1/012004/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
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https://iopscience.iop.org/article/10.1088/1742-6596/1520/1/012004/pdfDirect OA link when available
- Concepts
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Volume (thermodynamics), Waveform, Microchannel, Electrode, Microfluidics, Capacitance, SIGNAL (programming language), Event (particle physics), Materials science, Throughput, Computer science, Nanotechnology, Optoelectronics, Acoustics, Computer hardware, Electronic engineering, Voltage, Electrical engineering, Chemistry, Engineering, Physics, Telecommunications, Quantum mechanics, Wireless, Physical chemistry, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
- Citations by year (recent)
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2024: 2, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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23Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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