Biofunctionalization-Optimized Mos2-Based Fet Biosensors for the Detection of Tau Protein

22 Pages Posted: 26 Apr 2024

See all articles by Xiaohong Wen

Xiaohong Wen

University of Shanghai for Science and Technology

Xuefeng Zhao

affiliation not provided to SSRN

Xinzhi Shan

affiliation not provided to SSRN

Hong-Liang Lu

Fudan University

Xiumin Gao

University of Shanghai for Science and Technology

Songlin Zhuang

University of Shanghai for Science and Technology

Multiple version iconThere are 2 versions of this paper

Abstract

Field effect transistor (FET)-based biosensors can accurately quantify changes in weak signals and show excellent performance advantages in the detection of trace biological disease markers. Biological functionalization (biofunctionalization) is an important factor in the fabrication of FET-based biosensors, which directly affects the performance of the biosensor. However, little attention from researchers has been paid to biofunctionalization, which results in uneven performance of biosensors. Herein, MoS2-based FET biosensors are designed and fabricated using four different biofunctionalization methods. The most suitable biofunctionalization method is obtained by comparing the sensing performances of different functionalized MoS2-based FET biosensors. Moreover, the working mechanism of the optimized biofunctionalization method is explored. Besides, the biofunctionalization-optimized MoS2-based FET biosensor exhibits excellent sensing performance, achieving sensitive detection of Tau protein in the concentration range of 10-2~103 pg/mL. This study provides a universal and effective strategy for the biofunctionalization optimization of two-dimensional materials-based FET biosensors.

Keywords: MoS2-based FET, biosensor, biofunctionalized, O2 plasma, Tau protein detection

Suggested Citation

Wen, Xiaohong and Zhao, Xuefeng and Shan, Xinzhi and Lu, Hong-Liang and Gao, Xiumin and Zhuang, Songlin, Biofunctionalization-Optimized Mos2-Based Fet Biosensors for the Detection of Tau Protein. Available at SSRN: https://ssrn.com/abstract=4809073 or http://dx.doi.org/10.2139/ssrn.4809073

Xiaohong Wen

University of Shanghai for Science and Technology ( email )

Xuefeng Zhao

affiliation not provided to SSRN ( email )

No Address Available

Xinzhi Shan

affiliation not provided to SSRN ( email )

No Address Available

Hong-Liang Lu

Fudan University ( email )

Beijing West District Baiyun Load 10th
Shanghai, 100045
China

Xiumin Gao (Contact Author)

University of Shanghai for Science and Technology ( email )

Songlin Zhuang

University of Shanghai for Science and Technology ( email )

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