Abstract
Recently, micro ribonucleic acids (miRNAs) extracted from extracellular vesicles (EVs) have been recognized as promising biomarkers for early detection of cardiovascular diseases (CVDs). However, the detection and quantification of miRNAs by using the existing methods are relatively labor-intensive and time-consuming. In this work, an integrated microfluidic system equipped with highly sensitive field-effect transistors which is capable of performing EVs extraction, EVs lysis, target miRNAs extraction and miRNAs detection was reported. The entire detection process could be automated within three hours on a single chip and the detection limit of miRNAs was observed to be in a femtomolar range, which meets the requirement of physiological concentrations. This integrated microfluidic system has great potential to be a tool for early detection of CVDs.
| Original language | English |
|---|---|
| Title of host publication | 2018 IEEE Micro Electro Mechanical Systems (MEMS) |
| Publisher | IEEE |
| Pages | 1205-1208 |
| ISBN (Electronic) | 9781538647820 |
| DOIs | |
| Publication status | Published - Jan 2018 |
| Externally published | Yes |
| Event | 31st IEEE International Conference on Micro Electro Mechanical Systems (MEMS 2018) - Belfast, United Kingdom Duration: 21 Jan 2018 → 25 Jan 2018 https://www.mems2018.org/ |
Publication series
| Name | Proceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS) |
|---|---|
| Publisher | IEEE |
| ISSN (Print) | 1084-6999 |
| ISSN (Electronic) | 2160-1968 |
Conference
| Conference | 31st IEEE International Conference on Micro Electro Mechanical Systems (MEMS 2018) |
|---|---|
| Place | United Kingdom |
| City | Belfast |
| Period | 21/01/18 → 25/01/18 |
| Internet address |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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