期刊
IEEE SENSORS JOURNAL
卷 22, 期 10, 页码 9509-9520出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2022.3164934
关键词
Interfacial distance; ASSURED criteria; optical sensors; droplet-microfluidics; lab-on-a-chip; lab-on-aPCB; point-of-care devices
资金
- Tecnologico de Monterrey's School of Engineering and Sciences through its Research Groups on Nano Sensors and Devices and on Robotics
- National Robotics Laboratory of the Northeast and Central Area of Mexico
- National Council for Science and Technology of Mexico (CONACyT-Mexico)
The integration of microfluidics and droplet-based systems has led to the development of platforms capable of characterizing multiple phases inside microchannels. This work focuses on developing a rapid and fully integrated calibration process for optical droplet-based Lab-on-PCB devices using an interfacial distance constant called lambda. The proposed calibration process allows for reliable and wide spectrum droplet detection and characterization results. Testing of the calibrated platform showed accurate characterization of different multiphase flow properties with Mean Relative Errors ranging from 2.4% up to 17%.
The integration of microfluidics and droplet-based systems has led to platforms capable of characterizing multiple phases inside microchannels which can be an asset for many industries. Furthermore, recent developments on Lab-on-a-PCB devices focus to meet design specifications such as the ASSURED criteria (Affordable, Sensitive, Specific, User-friendly, Rapid and Robust, Equipment-free, and Deliverable to end-users). However, most of these systems still present external equipment dependencies, complex setup and manufacturing processes, low reproducibility, along reduced information regarding calibration processes for ASSURED-based sensors. In this work, we developed a rapid and fully integrated calibration process for optical droplet-based Lab-on-PCB devices by means of an interfacial distance constant called lambda, to obtain reliable and wide spectrum droplet detection and characterization results. To test the proposed calibration process, a low-cost optical droplet sensor was built using commonly available electronics components, consisting only of a fluid channel between a Light-Emitting Diode (LED) and a Light Dependent Resistor (LDR), which voltage variation is measured and processed with an Arduino Uno. After the proposed lambda calibration of the platform, we were able to characterize different multiphase flow properties such as velocity, flow rate, droplet lengths, and volume for velocities up to 1000 droplets per second with the Mean Relative Errors (MRE) ranging from 2.4% up to 17%. The lowest MRE value was obtained using a two-phase flow system for flow from 20 mu L/min up to 425 mu L/min. In contrast, the highest MRE value we report was found for a three-phase flow system for droplets at 250 mu L/min.
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