2021
DOI: 10.1021/acs.analchem.1c03683
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Organic Field-Effect Transistor-Based Biosensors with Enhanced Sensitivity and Reliability under Illumination for Carcinoembryonic Antigen Bioassay

Abstract: Achieving biosensors of high sensitivity and reliability is extremely significant for early diagnosis and treatment of tumor diseases. Herein, a novel organic field-effect transistor (OFET)-based biosensor was developed and applied for carcinoembryonic antigen (CEA) bioassay. This OFET-based biosensor can respond sensitively to the antigen−antibody immune-recognition reaction under illumination and darkness, respectively, thereby generating electrical signal changes of source-drain current (I DS ) and threshol… Show more

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Cited by 10 publications
(12 citation statements)
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“…We characterized the immobilization of antibodies and binding of antibody-antigen using AFM and electrical measurements (Figure S8). AFM height images (Figure S8a,b) show that, with the addition of the anti-CEA, the surface height increased from 4.48 to 15.2 nm, increasing 10.72 nm, which was consistent with the results in the literature . The root-mean-square roughness of the channel region increases significantly from 1.60 to 5.02 nm.…”
Section: Resultsmentioning
confidence: 93%
See 2 more Smart Citations
“…We characterized the immobilization of antibodies and binding of antibody-antigen using AFM and electrical measurements (Figure S8). AFM height images (Figure S8a,b) show that, with the addition of the anti-CEA, the surface height increased from 4.48 to 15.2 nm, increasing 10.72 nm, which was consistent with the results in the literature . The root-mean-square roughness of the channel region increases significantly from 1.60 to 5.02 nm.…”
Section: Resultsmentioning
confidence: 93%
“…AFM height images (Figure S8a,b) show that, with the addition of the anti-CEA, the surface height increased from 4.48 to 15.2 nm, increasing 10.72 nm, which was consistent with the results in the literature. 25 The root-mean-square roughness of the channel region increases significantly from 1.60 to 5.02 nm. In summary, the CNT-FET biosensor has successfully constructed a specific identification platform to ensure the effectiveness of the CEA detection process.…”
Section: ■ Experimental Sectionmentioning
confidence: 99%
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“…10 FET sensors detect different proteins. (A) Development of OFET-based biosensors for the CEA assay under illumination and darkness, 182 Copyright 2021 American Chemical Society. (B) Schematic illustration of the sequential process for MMP-9 detection, 127 Copyright 2019 American Chemical Society.…”
Section: Electrochemistrymentioning
confidence: 99%
“…The materials of the FET for detecting the antigen and antibody mainly include silicon nanomaterials, graphene, 181 molybdenum dioxide 127 and organics. 182 Graphene-based peptide sensors can be used as prognostic indicators for early cancer. 183 Different silicon nanomaterials were used to detect the CEA, namely nanobelt silicon, 126 nanotubes, 184,185 silicon nanowires, 186 etc.…”
Section: Detection Of Lung Cancer Markers Using Biosensorsmentioning
confidence: 99%