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A PNA-based Lab-on-PCB diagnostic platform for rapid and high sensitivity DNA quantification.
File | Description | Size | Format | |
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Jolly_Manuscript_submitted.docx | Accepted version | 4.9 MB | Microsoft Word | View/Open |
Title: | A PNA-based Lab-on-PCB diagnostic platform for rapid and high sensitivity DNA quantification. |
Authors: | Jolly, P Rainbow, J Regoutz, A Estrela, P Moschou, D |
Item Type: | Journal Article |
Abstract: | We report the development of a Lab-on-PCB DNA diagnostic platform, exploiting peptide nucleic acid (PNA) sequences as probes. The study demonstrates the optimization and characterization of two commercial PCB manufacturing gold electroplating processes for biosensing applications. Using an optimized ratio of PNA with a spacer molecule (MCH), the lowest limit of detection (LoD) to date for PCB-based DNA biosensors of 57 fM is reported. The study also showcases a fully integrated Lab-on-PCB microsystem designed for rapid detection, which employs PCB-integrated sample delivery, achieving DNA quantification in the 0.1-100 pM range for 5 μL samples analyzed within 5 min under continuous flow. The demonstrated biosensor proves the capability of PCB-based DNA biosensors for high sensitivity and paves the way for their integration in Lab-on-PCB DNA diagnostic microsystems. |
Issue Date: | 1-Jan-2019 |
Date of Acceptance: | 1-Sep-2018 |
URI: | http://hdl.handle.net/10044/1/64068 |
DOI: | https://dx.doi.org/10.1016/j.bios.2018.09.006 |
ISSN: | 0956-5663 |
Publisher: | Elsevier |
Start Page: | 244 |
End Page: | 250 |
Journal / Book Title: | Biosensors and Bioelectronics |
Volume: | 123 |
Copyright Statement: | © 2018 Elsevier B.V. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/ |
Sponsor/Funder: | Imperial College London |
Keywords: | Biosensor DNA Impedimetric Nucleic acid PCB PNA 0301 Analytical Chemistry 0903 Biomedical Engineering 1007 Nanotechnology Bioinformatics |
Publication Status: | Published |
Conference Place: | England |
Online Publication Date: | 2018-09-06 |
Appears in Collections: | Materials Faculty of Engineering |