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Quantum Capacitance-Limited MoS2 Biosensors Enable Remote Label-Free Enzyme Measurements

Published

Author(s)

Son T. Le, Nicholas B. Guros, Robert C. Bruce, Antonio Cardone, Niranjana D. Amin, Siyuan Zhang, Jeffery B. Klauda, Harish C. Pant, Curt A. Richter, Arvind Balijepalli

Abstract

We have demonstrated atomically thin, quantum capacitance-limited, field-effect transistors (FETs) that enable the detection of pH changes with 75-fold higher sensitivity (4.4 V/pH) over the Nernst value of 59 mV/pH at room temperature when used as a biosensor. The transistors, which are fabricated from monolayer films of MoS2, use a room temperature ionic liquid (RTIL) in place of a conventional oxide gate dielectric and exhibit very low intrinsic noise resulting in a pH resolution of 9210-6 at 10 Hz. This high device performance, which is a function of the structure of our device, is achieved by remotely connecting the gate to a pH sensing element allowing the FETs to be reused. Because pH measurements are fundamentally important in biotechnology, the increased resolution demonstrated here will benefit numerous applications ranging from pharmaceutical manufacturing to clinical diagnostics. As an example, we experimentally quantified the function of the kinase Cdk5, an enzyme implicated in Alzheimer's disease, at concentrations that are 5-fold lower than physiological values, and with sufficient time-resolution to allow the estimation of both steady-state and kinetic parameters in a single experiment. The high sensitivity, increased resolution, and fast turnaround time of the measurements will allow the development of early diagnostic tools and novel therapeutics to detect and treat neurological conditions years before currently possible.
Citation
Nanoscale
Volume
11

Keywords

FET, enzymes, kinetics, pH sensing, quantum capacitance

Citation

Le, S. , Guros, N. , Bruce, R. , Cardone, A. , Amin, N. , Zhang, S. , Klauda, J. , Pant, H. , Richter, C. and Balijepalli, A. (2019), Quantum Capacitance-Limited MoS2 Biosensors Enable Remote Label-Free Enzyme Measurements, Nanoscale, [online], https://doi.org/10.1039/C9NR03171E, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=925828 (Accessed April 26, 2024)
Created August 6, 2019, Updated October 12, 2021