TY - GEN
T1 - Self-powered wireless biosensing based on integration of paper-based microfluidics with self-Assembling RFID antennas
AU - Yuan, Mingquan
AU - Alocilja, Evangelyn C.
AU - Chakrabartty, Shantanu
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/12/4
Y1 - 2015/12/4
N2 - This paper extends our previous work on wireless biosensing by proposing and demonstrating the integration of self-Assembling radio-frequency antennas with paper-based microfluidics. The integration substrate is constructed using polyethylene and the patterning of the antenna on the substrate has been achieved using a low-cost ink-jet printing technique. The use of paper-based microfluidics enables self-powered sample acquisition, sample mixing and sample flow to areas on the substrate where antennas can self-Assemble only when target analytes are present in the sample. When the integrated substrate is combined with a passive radio-frequency identification (RFID) tagging technology, the resulting sensor-Tag can be used for continuous monitoring in a food supply-chain where direct measurement is considered to be impractical and reducing false alarms is a key consideration. We validate the proof-of-concept operation of the proposed sensor-Tag using IgG as a model analyte.
AB - This paper extends our previous work on wireless biosensing by proposing and demonstrating the integration of self-Assembling radio-frequency antennas with paper-based microfluidics. The integration substrate is constructed using polyethylene and the patterning of the antenna on the substrate has been achieved using a low-cost ink-jet printing technique. The use of paper-based microfluidics enables self-powered sample acquisition, sample mixing and sample flow to areas on the substrate where antennas can self-Assemble only when target analytes are present in the sample. When the integrated substrate is combined with a passive radio-frequency identification (RFID) tagging technology, the resulting sensor-Tag can be used for continuous monitoring in a food supply-chain where direct measurement is considered to be impractical and reducing false alarms is a key consideration. We validate the proof-of-concept operation of the proposed sensor-Tag using IgG as a model analyte.
UR - http://www.scopus.com/inward/record.url?scp=84962710526&partnerID=8YFLogxK
U2 - 10.1109/BioCAS.2015.7348388
DO - 10.1109/BioCAS.2015.7348388
M3 - Conference contribution
AN - SCOPUS:84962710526
T3 - IEEE Biomedical Circuits and Systems Conference: Engineering for Healthy Minds and Able Bodies, BioCAS 2015 - Proceedings
BT - IEEE Biomedical Circuits and Systems Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE Biomedical Circuits and Systems Conference, BioCAS 2015
Y2 - 22 October 2015 through 24 October 2015
ER -