Advanced hybrid dielectric OTFT biosensor for early breast cancer diagnosis with enhanced sensitivity

• An innovative charge-modulated hybrid dielectric organic thin-film transistor (CM-HD OTFT) biosensor designed for the early detection of the breast cancer biomarker C-erbB-2 in saliva and serum samples, is presented. • A dual-dielectric structure and a sensing cavity adjacent to dielectric layers in the proposed biosensor design significantly enhances interface quality and biomarker immobilization. • The sensitivity of the biosensor is evaluated in terms of drain current and the switching ratio, achieving values of 2.5 × 10 4 (6.54 × 10 4 ) and 9.8 × 10 9 (7.5 × 10 8 ) for saliva (serum) samples, respectively. • The results achieved suggest that the proposed CM-HD OTFT biosensor holds strong potential for point-of-care applications in early-stage breast cancer detection. This research work presents an innovative charge-modulated hybrid dielectric organic thin-film transistor (CM-HD OTFT) biosensor designed for the early detection of the breast cancer biomarker C-erbB-2 in saliva and serum samples. By incorporating a dual-dielectric structure and a sensing cavity adjacent to dielectric layers, the biosensor significantly enhances interface quality and biomarker immobilization. To facilitate specific binding, the cavity surface is functionalized with 3-aminopropyltriethoxysilane (APTES), promoting conjugation with C-erbB-2 biomolecules. The detection mechanism relies on the modulation of interface charge density due to varying concentrations of the C-erbB-2 biomarker in normal versus malignant saliva/serum samples. These charge variations directly influence the device's electrical characteristics, thereby enabling sensitive early-stage breast cancer detection. A numerical charge-equivalent model for C-erbB-2 has been developed, and the detection process has been thoroughly analyzed using 2D numerical simulations in ATLAS SILVACO. The sensitivity of the biosensor is evaluated in terms of drain current and the switching ratio, achieving values of 2.5 × 10 4 (6.54 × 10 4 ) and 9.8 × 10 9 (7.5 × 10 8 ) for saliva (serum) samples, respectively. Moreover, additional sensing metrics such as linearity, limit of detection (LoD), and noise characteristics are investigated, demonstrating superior sensitivity compared to existing biosensors. To further optimize performance, the study also refines the cavity thickness from 8 nm to 12 nm, ensuring improved detection efficiency. These advancements suggest that the CM-HD OTFT biosensor holds strong potential for point-of-care applications in early-stage breast cancer detection.

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Publication Details

Journal
Results in Engineering
Published
2025-09-01
DOI
https://doi.org/10.1016/j.rineng.2025.107037
Citations
2
Primary Topic
Photoacoustic and Ultrasonic Imaging
Type
article
Field-Weighted Citation Impact
1.35
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article

Advanced hybrid dielectric OTFT biosensor for early breast cancer diagnosis with enhanced sensitivity

Siva Sankara Phani Tammireddy, Asisa Kumar Panigrahy, Amit Krishna Dwivedi, M. Durga Prakash et al.
2 citations
Results in Engineering
Photoacoustic and Ultrasonic Imaging
1.35
article

Advanced hybrid dielectric OTFT biosensor for early breast cancer diagnosis with enhanced sensitivity

Siva Sankara Phani Tammireddy, Asisa Kumar Panigrahy, Amit Krishna Dwivedi, M. Durga Prakash, Vella Satyanarayana, Lingala Prasanthi, Supraja Patta
article en
2 citations

Abstract

• An innovative charge-modulated hybrid dielectric organic thin-film transistor (CM-HD OTFT) biosensor designed for the early detection of the breast cancer biomarker C-erbB-2 in saliva and serum samples, is presented. • A dual-dielectric structure and a sensing cavity adjacent to dielectric layers in the proposed biosensor design significantly enhances interface quality and biomarker immobilization. • The sensitivity of the biosensor is evaluated in terms of drain current and the switching ratio, achieving values of 2.5 × 10 4 (6.54 × 10 4 ) and 9.8 × 10 9 (7.5 × 10 8 ) for saliva (serum) samples, respectively. • The results achieved suggest that the proposed CM-HD OTFT biosensor holds strong potential for point-of-care applications in early-stage breast cancer detection. This research work presents an innovative charge-modulated hybrid dielectric organic thin-film transistor (CM-HD OTFT) biosensor designed for the early detection of the breast cancer biomarker C-erbB-2 in saliva and serum samples. By incorporating a dual-dielectric structure and a sensing cavity adjacent to dielectric layers, the biosensor significantly enhances interface quality and biomarker immobilization. To facilitate specific binding, the cavity surface is functionalized with 3-aminopropyltriethoxysilane (APTES), promoting conjugation with C-erbB-2 biomolecules. The detection mechanism relies on the modulation of interface charge density due to varying concentrations of the C-erbB-2 biomarker in normal versus malignant saliva/serum samples. These charge variations directly influence the device's electrical characteristics, thereby enabling sensitive early-stage breast cancer detection. A numerical charge-equivalent model for C-erbB-2 has been developed, and the detection process has been thoroughly analyzed using 2D numerical simulations in ATLAS SILVACO. The sensitivity of the biosensor is evaluated in terms of drain current and the switching ratio, achieving values of 2.5 × 10 4 (6.54 × 10 4 ) and 9.8 × 10 9 (7.5 × 10 8 ) for saliva (serum) samples, respectively. Moreover, additional sensing metrics such as linearity, limit of detection (LoD), and noise characteristics are investigated, demonstrating superior sensitivity compared to existing biosensors. To further optimize performance, the study also refines the cavity thickness from 8 nm to 12 nm, ensuring improved detection efficiency. These advancements suggest that the CM-HD OTFT biosensor holds strong potential for point-of-care applications in early-stage breast cancer detection.

Results in EngineeringVol. 27
International Institute of Information Technology (IN), University of Warwick (GB), SRM University, Andhra Pradesh (IN), ICFAI Foundation for Higher Education (IN), Aditya Birla (India) (IN)
Openalex Percentile: Top 18%
Photoacoustic and Ultrasonic Imaging
1.35
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