Issue 43, 2020, Issue in Progress

Origami-based “Book” shaped three-dimensional electrochemical paper microdevice for sample-to-answer detection of pathogens

Abstract

Herein, an ease-of-use and highly sensitive origami-based “book” shaped three-dimensional electrochemical paper microdevice based on nucleic acid testing (NAT) methodology was developed for sample-to-answer detection of pathogens from whole blood and food samples. The whole steps of NAT, including sample preparation, amplification and detection, were performed by alternately folding the panels of the microdevice, just like flipping a book. The screen-printing electrodes were combined with wax-printing technology to construct a paper-based electrochemical unit to monitor Loop-mediated isothermal amplification (LAMP) reaction with an electrochemical strategy. After nucleic acid extraction and purification with the glass fiber, the LAMP reaction was performed for 45 min to amplify the extracted nucleic acid sequence, followed by the execution of the electrochemical interrogation reaction based on methylene blue (MB) and double-stranded LAMP amplicons. Starting with whole blood and food samples spiked with Salmonella typhimurium, this microdevice was successfully applied to identify pathogens from biological samples with satisfactory sensitivity and specificity. Therefore, the proposed origami-based “book” shaped three-dimensional paper microdevice has great potential for disease diagnosis, food safety analysis applications in the future.

Graphical abstract: Origami-based “Book” shaped three-dimensional electrochemical paper microdevice for sample-to-answer detection of pathogens

Supplementary files

Article information

Article type
Paper
Submitted
28 Apr 2020
Accepted
21 Jun 2020
First published
08 Jul 2020
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2020,10, 25808-25816

Origami-based “Book” shaped three-dimensional electrochemical paper microdevice for sample-to-answer detection of pathogens

T. He, J. Li, L. Liu, S. Ge, M. Yan, H. Liu and J. Yu, RSC Adv., 2020, 10, 25808 DOI: 10.1039/D0RA03833D

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