Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/75724
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Biomedical Engineering | en_US |
dc.creator | Chan, C | en_US |
dc.creator | Shi, J | en_US |
dc.creator | Fan, Y | en_US |
dc.creator | Yang, M | en_US |
dc.date.accessioned | 2018-05-10T02:54:28Z | - |
dc.date.available | 2018-05-10T02:54:28Z | - |
dc.identifier.issn | 0925-4005 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/75724 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | © 2017 Elsevier B.V. All rights reserved. | en_US |
dc.rights | © 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
dc.rights | The following publication Chan, C., Shi, J., Fan, Y., & Yang, M. (2017). A microfluidic flow-through chip integrated with reduced graphene oxide transistor for influenza virus gene detection. Sensors and Actuators B: Chemical, 251, 927-933. is available at https://doi.org/10.1016/j.snb.2017.05.147 | en_US |
dc.subject | Microfluidic device | en_US |
dc.subject | Flow-through chip | en_US |
dc.subject | Reduced graphene oxide (rGO) | en_US |
dc.subject | Transistor | en_US |
dc.title | A microfluidic flow-through chip integrated with reduced graphene oxide transistor for influenza virus gene detection | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 927 | en_US |
dc.identifier.epage | 933 | en_US |
dc.identifier.volume | 251 | en_US |
dc.identifier.doi | 10.1016/j.snb.2017.05.147 | en_US |
dcterms.abstract | Most of the current graphene transistor based deoxyribonucleic acid (DNA) sensors are based on dip and-dry methods The flow-through approach for graphene transistor based DNA sensors have not been explored yet. Moreover, the effect of probe immobilization strategies on the performance of a graphene transistor biosensor in flowing environment was rarely studied. In this paper, a microfluidic integrated reduced graphene oxide (rGO) transistor was developed for H5N1 influenza virus gene detection with high stability and sensitivity via a flow-through strategy. Different DNA probe immobilization approaches including extended long capture probe via Tr-Tr stacking, short capture probe via Tr-Tr stacking and covalent immobilization via linker were studied. Both fluorescence measurement and electrical detection were performed to evaluate the performance of rGO transistors in flowing environment for these probe immobilization strategies. The results showed that among these approaches, extended long capture probe could provide both high sensitivity and stability in flowing environment while short capture probe suffered by the low stability in flowing environment and covalent immobilization via linker had relatively low sensitivity. This microfluidic integrated rGO transistor with extended capture probe immobilization approach could provide a promising platform for nucleic acid detection with high sensitivity and stability for potential flow-through chip application. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Sensors and actuators. B, Chemical, Nov. 2017, v. 251, p. 927-933 | en_US |
dcterms.isPartOf | Sensors and actuators. B, Chemical | en_US |
dcterms.issued | 2017-11 | - |
dc.identifier.isi | WOS:000406184600112 | - |
dc.identifier.eissn | 1873-3077 | en_US |
dc.description.validate | 201805 bcrc | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | BME-0206 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Hong Kong Research Granst Council; Hong Kong Polytechnic University | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 6750086 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Fan_Microfluidic_Flow-Through_Chip.pdf | Pre-Published version | 1 MB | Adobe PDF | View/Open |
Page views
122
Last Week
0
0
Last month
Citations as of Oct 1, 2023
Downloads
43
Citations as of Oct 1, 2023
SCOPUSTM
Citations
58
Last Week
0
0
Last month
Citations as of Sep 28, 2023
WEB OF SCIENCETM
Citations
46
Last Week
0
0
Last month
Citations as of Sep 28, 2023

Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.