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Micromachines 2016, 7(8), 134; doi:10.3390/mi7080134

Integration of a Droplet-Based Microfluidic System and Silicon Nanoribbon FET Sensor

1
Materials and Nano Physics, School of Information and Communication Technology, KTH Royal Institute of Technology, SE-164 40 Kista, Sweden
2
Division of Proteomics and Nanobiotechnology, Science for Life Laboratory, KTH Royal Institute of Technology, SE-171 65 Solna, Sweden
3
Acreo Swedish ICT AB, SE-164 40 Kista, Sweden
These authors contributed equally to the work.
*
Author to whom correspondence should be addressed.
Academic Editors: Andrew J. deMello and Xavier Casadevall i Solvas
Received: 5 July 2016 / Revised: 27 July 2016 / Accepted: 29 July 2016 / Published: 5 August 2016
(This article belongs to the Special Issue Droplet Microfluidics: Techniques and Technologies, Volume II)
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Abstract

We present a novel microfluidic system that integrates droplet microfluidics with a silicon nanoribbon field-effect transistor (SiNR FET), and utilize this integrated system to sense differences in pH. The device allows for selective droplet transfer to a continuous water phase, actuated by dielectrophoresis, and subsequent detection of the pH level in the retrieved droplets by SiNR FETs on an electrical sensor chip. The integrated microfluidic system demonstrates a label-free detection method for droplet microfluidics, presenting an alternative to optical fluorescence detection. In this work, we were able to differentiate between droplet trains of one pH-unit difference. The pH-based detection method in our integrated system has the potential to be utilized in the detection of biochemical reactions that induce a pH-shift in the droplets. View Full-Text
Keywords: NanoFET; silicon nanoribbon; droplet microfluidics; pH measurement NanoFET; silicon nanoribbon; droplet microfluidics; pH measurement
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Afrasiabi, R.; Soderberg, L.M.; Joensson, H.N.; Björk, P.; Andersson Svahn, H.; Linnros, J. Integration of a Droplet-Based Microfluidic System and Silicon Nanoribbon FET Sensor. Micromachines 2016, 7, 134.

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