@article{b9ef7817d87c490e9c3148ad968d32c2,
title = "Anomalous sensitivity enhancement of nano-graphitic electrochemical micro-sensors with reducing the operating voltage",
abstract = "Microscopic interactions between electrochemical sensors and biomolecules critically influence the sensitivity. Here, we report an unexpected dependence of the sensitivity on the upper potential limit (UPL) in voltammetry experiments. In particular, we find that the sensitivity of substrate-supported nano-graphitic micro-sensors in response to dopamine increases almost linearly with the inverse of UPL in voltammetry experiments with rapid potential sweeps. Our experiments and multi-physics simulations reveal that the main cause behind this phenomenon is the UPL-induced electrostatic force that influences the steady-state number of dopamine molecules on the sensor surface. Our findings illustrate a new strategy for enhancing the performance of planar electrochemical micro-sensors.",
keywords = "Electrochemical sensor, Graphitic carbon, Sensitivity, Voltammetry sensing",
author = "Edoardo Cuniberto and Abdullah Alharbi and Zhujun Huang and Ting Wu and Roozbeh Kiani and Davood Shahrjerdi",
note = "Funding Information: The authors acknowledge partial financial support from NSF (1728051) as well as the instrumentation grants from NSF (MRI-1531664) and Gordon and Betty Moore Foundation (GBMF 4838). The authors also acknowledge the Surface Science Facility of CUNY Advanced Science Research Center for the use of the XPS tool. This research used resources of the ASRC Nano-Fabrication Facility of CUNY in New York. This research used resources of the Center for Functional Nanomaterials, which is a U.S. DOE Office of Science Facility, at Brookhaven National Laboratory (BNL) under Contract No. DE-SC0012704. The authors thank K-D. You for his contribution to the development of the CMOS IC described in Ref.(You et al. 2020). The authors thank K. Kisslinger of BNL for helping with TEM specimen preparation and K. Sardashti of NYU for helping with TEM imaging. RK and TW acknowledge support by the Simons Collaboration on the Global Brain (grant 542997), and Pew Scholarship in the Biomedical Sciences. DS acknowledges Prof. J. Uichanco of U Michigan for helpful discussions. Funding Information: The authors acknowledge partial financial support from NSF ( 1728051 ) as well as the instrumentation grants from NSF ( MRI-1531664 ) and Gordon and Betty Moore Foundation ( GBMF 4838 ). The authors also acknowledge the Surface Science Facility of CUNY Advanced Science Research Center for the use of the XPS tool. This research used resources of the ASRC Nano-Fabrication Facility of CUNY in New York. This research used resources of the Center for Functional Nanomaterials, which is a U.S. DOE Office of Science Facility, at Brookhaven National Laboratory (BNL) under Contract No. DE-SC0012704. The authors thank K-D. You for his contribution to the development of the CMOS IC described in Ref.( You et al., 2020 ). The authors thank K. Kisslinger of BNL for helping with TEM specimen preparation and K. Sardashti of NYU for helping with TEM imaging. RK and TW acknowledge support by the Simons Collaboration on the Global Brain (grant 542997 ), and Pew Scholarship in the Biomedical Sciences. DS acknowledges Prof. J. Uichanco of U Michigan for helpful discussions. Publisher Copyright: {\textcopyright} 2021 Elsevier B.V.",
year = "2021",
month = apr,
day = "1",
doi = "10.1016/j.bios.2021.112966",
language = "English (US)",
volume = "177",
journal = "Biosensors and Bioelectronics",
issn = "0956-5663",
}