A Road Map toward Field-Effect Transistor Biosensor Technology for Early Stage Cancer Detection
Review article, 2022

Field effect transistor (FET)-based nanoelectronic biosensor devices provide a viable route for specific and sensitive detection of cancer biomarkers, which can be used for early stage cancer detection, monitoring the progress of the disease, and evaluating the effectiveness of therapies. On the road to implementation of FET-based devices in cancer diagnostics, several key issues need to be addressed: sensitivity, selectivity, operational conditions, anti-interference, reusability, reproducibility, disposability, large-scale production, and economic viability. To address these well-known issues, significant research efforts have been made recently. An overview of these efforts is provided here, highlighting the approaches and strategies presently engaged at each developmental stage, from the design and fabrication of devices to performance evaluation and data analysis. Specifically, this review discusses the multistep fabrication of FETs, choice of bioreceptors for relevant biomarkers, operational conditions, measurement configuration, and outlines strategies to improve the sensing performance and reach the level required for clinical applications. Finally, this review outlines the expected progress to the future generation of FET-based diagnostic devices and discusses their potential for detection of cancer biomarkers as well as biomarkers of other noncommunicable and communicable diseases.

sensitivity

biomarkers

cancer detection

FET biosensors

bioreceptors

Author

Muthusankar Eswaran

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

Bavatharani Chokkiah

National Institute of Technology Puducherry

Santosh Pandit

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

Shadi Rahimi

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

Ragupathy Dhanusuraman

National Institute of Technology Puducherry

Mahaboobbatcha Aleem

City University of New York (CUNY)

Ivan Mijakovic

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

Small Methods

23669608 (eISSN)

Vol. 6 2200809

CRISPR-based mutation detection using graphene chip enables cancer detection

VINNOVA (2020-04733), 2021-05-14 -- 2023-05-14.

Subject Categories

Medical Laboratory and Measurements Technologies

Biomedical Laboratory Science/Technology

Other Civil Engineering

DOI

10.1002/smtd.202200809

PubMed

36068169

More information

Latest update

7/17/2024