TY - JOUR
T1 - Towards an Integrated QR Code Biosensor
T2 - Light-Driven Sample Acquisition and Bacterial Cellulose Paper Substrate
AU - Yuan, Mingquan
AU - Jiang, Qisheng
AU - Liu, Keng Ku
AU - Singamaneni, Srikanth
AU - Chakrabartty, Shantanu
N1 - Funding Information:
Manuscript received September 25, 2017; revised December 16, 2017; accepted January 29, 2018. Date of publication March 13, 2018; date of current version June 5, 2018. This work was supported by the National Science Foundation under Research Grant CCF: 1533905. This paper was recommended by Associate Editor D. Hall. (Corresponding author: Shantanu Chakrabartty.) M. Yuan is with the Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, MO 63130 USA (e-mail: [email protected]).
Publisher Copyright:
© 2007-2012 IEEE.
PY - 2018/6
Y1 - 2018/6
N2 - This paper addresses two key challenges toward an integrated forward error-correcting biosensor based on our previously reported self-assembled quick-response (QR) code. The first challenge involves the choice of the paper substrate for printing and self-assembling the QR code. We have compared four different substrates that includes regular printing paper, Whatman filter paper, nitrocellulose membrane and lab synthesized bacterial cellulose. We report that out of the four substrates bacterial cellulose outperforms the others in terms of probe (gold nanorods) and ink retention capability. The second challenge involves remote activation of the analyte sampling and the QR code self-assembly process. In this paper, we use light as a trigger signal and a graphite layer as a light-absorbing material. The resulting change in temperature due to infrared absorption leads to a temperature gradient that then exerts a diffusive force driving the analyte toward the regions of self-assembly. The working principle has been verified in this paper using assembled biosensor prototypes where we demonstrate higher sample flow rate due to light induced thermal gradients.
AB - This paper addresses two key challenges toward an integrated forward error-correcting biosensor based on our previously reported self-assembled quick-response (QR) code. The first challenge involves the choice of the paper substrate for printing and self-assembling the QR code. We have compared four different substrates that includes regular printing paper, Whatman filter paper, nitrocellulose membrane and lab synthesized bacterial cellulose. We report that out of the four substrates bacterial cellulose outperforms the others in terms of probe (gold nanorods) and ink retention capability. The second challenge involves remote activation of the analyte sampling and the QR code self-assembly process. In this paper, we use light as a trigger signal and a graphite layer as a light-absorbing material. The resulting change in temperature due to infrared absorption leads to a temperature gradient that then exerts a diffusive force driving the analyte toward the regions of self-assembly. The working principle has been verified in this paper using assembled biosensor prototypes where we demonstrate higher sample flow rate due to light induced thermal gradients.
KW - Automatic reagent sampling
KW - bacterial cellulose
KW - flexible electronics
KW - forward error-correcting biosensor
KW - lab-on-chip
KW - mobile health
KW - QR code
KW - self-assembly
KW - self-powered sensing
KW - silver enhancement
UR - http://www.scopus.com/inward/record.url?scp=85043792517&partnerID=8YFLogxK
U2 - 10.1109/TBCAS.2018.2801566
DO - 10.1109/TBCAS.2018.2801566
M3 - Article
C2 - 29877810
AN - SCOPUS:85043792517
SN - 1932-4545
VL - 12
SP - 452
EP - 460
JO - IEEE Transactions on Biomedical Circuits and Systems
JF - IEEE Transactions on Biomedical Circuits and Systems
IS - 3
ER -