@inproceedings{501da2a3059140c7b65079c64bd41dd6,
title = "Printed Nitrogen-Doped Reduced Graphene Oxide Based Sensor for Uric Acid Detection",
abstract = "This paper presents a flexible printed sensor for the accurate detection of uric acid (UA) by a simple chemical route synthesis. The sensitive nanomaterial (N-rGO) was prepared from the dual interaction of 1,4-xylenediamine (XDA) and Graphene oxide (GO) by covalent and π-π stacking interaction. N-rGO was printed on a flexible polyvinyl chloride (PVC) substrate and analyzed in 0.1 M PBS, pH 7.4 electrolyte for different concentrations of UA. The sensor exhibited a wide segmented linear range of 3-40 × 10-5 M and 1-8 x 10-3 M with a sensitivity of 0.733 mAmM-1 and 0.0277 mAmM-1 respectively. The 0.0077% standard deviation from 30 consecutive measurements suggests that the sensor exhibits excellent reproducibility. Thus, the presented sensor is an alternative to currently available commercial bulky UA sensors.",
keywords = "Graphene oxide, flexible PVC substrate, nitrogen doping, printed sensor, uric acid",
author = "Ammara Ejaz and Saoirse Dervin and Ravinder Dahiya",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Conference on Flexible and Printable Sensors and Systems, FLEPS 2020 ; Conference date: 16-08-2020 Through 19-08-2020",
year = "2020",
month = aug,
day = "16",
doi = "10.1109/FLEPS49123.2020.9239567",
language = "English",
series = "FLEPS 2020 - IEEE International Conference on Flexible and Printable Sensors and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "FLEPS 2020 - IEEE International Conference on Flexible and Printable Sensors and Systems",
}