Oral squamous cell carcinoma (OSCC) is one of the most common lip and oral cavity cancer types. It requires early detection via various medical technologies to improve the survival rate. While most detection techniques for OSCC require testing in a centralized lab to confirm cancer type, a point of care detection technique is preferred for on-site use and quick result readout. The modular biological sensor utilizing transistor-based technology has been leveraged for testing CIP2A, and optimal transistor gate voltage and load resistance for sensing setup was investigated. Sensitivities of 1 × 10−15 g/ml have been obtained for both detections of pure CIP2A protein and HeLa cell lysate using identical test conditions via serial dilution. The superior time-saving and high accuracy testing provides opportunities for rapid clinical diagnosis in the medical space.
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High sensitivity CIP2A detection for oral cancer using a rapid transistor-based biosensor module
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January 2023
Research Article|
December 13 2022
High sensitivity CIP2A detection for oral cancer using a rapid transistor-based biosensor module
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Minghan Xian
;
Minghan Xian
a)
(Data curation, Formal analysis, Investigation, Writing – original draft, Writing – review & editing)
1
Department of Chemical Engineering, University of Florida
, Gainesville, Florida 32611
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Jenna L. Stephany;
Jenna L. Stephany
(Data curation, Formal analysis, Investigation, Writing – original draft)
2
Department of Restorative Dental Sciences, University of Florida
, Gainesville, Florida 32610
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Chan-Wen Chiu
;
Chan-Wen Chiu
(Data curation, Investigation)
1
Department of Chemical Engineering, University of Florida
, Gainesville, Florida 32611
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Chao-Ching Chiang
;
Chao-Ching Chiang
(Data curation, Investigation)
1
Department of Chemical Engineering, University of Florida
, Gainesville, Florida 32611
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Fan Ren
;
Fan Ren
(Resources, Supervision, Writing – review & editing)
1
Department of Chemical Engineering, University of Florida
, Gainesville, Florida 32611
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Cheng-Tse Tsai;
Cheng-Tse Tsai
(Resources)
3
Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University
, Hsinchu 30010, Taiwan
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Siang-Sin Shan;
Siang-Sin Shan
(Resources)
3
Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University
, Hsinchu 30010, Taiwan
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Yu-Te Liao;
Yu-Te Liao
(Resources)
3
Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University
, Hsinchu 30010, Taiwan
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Josephine F. Esquivel-Upshaw;
Josephine F. Esquivel-Upshaw
(Resources, Supervision, Writing – review & editing)
2
Department of Restorative Dental Sciences, University of Florida
, Gainesville, Florida 32610
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Stephen J. Pearton
Stephen J. Pearton
(Supervision)
4
Department of Materials Science and Engineering, University of Florida
, Gainesville, Florida 32611
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Minghan Xian
1,a)
Jenna L. Stephany
2
Chan-Wen Chiu
1
Chao-Ching Chiang
1
Fan Ren
1
Cheng-Tse Tsai
3
Siang-Sin Shan
3
Yu-Te Liao
3
Josephine F. Esquivel-Upshaw
2
Stephen J. Pearton
4
1
Department of Chemical Engineering, University of Florida
, Gainesville, Florida 32611
2
Department of Restorative Dental Sciences, University of Florida
, Gainesville, Florida 32610
3
Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University
, Hsinchu 30010, Taiwan
4
Department of Materials Science and Engineering, University of Florida
, Gainesville, Florida 32611a)
Electronic mail: [email protected]
Note: This paper is a part of the Special Topic Collection Special Topic Collection Honoring Dr. Gary McGuire's Research and Leadership as the Editor of the Journal of Vacuum Science & Technology for Three Decades.
J. Vac. Sci. Technol. B 41, 013201 (2023)
Article history
Received:
August 24 2022
Accepted:
October 31 2022
Citation
Minghan Xian, Jenna L. Stephany, Chan-Wen Chiu, Chao-Ching Chiang, Fan Ren, Cheng-Tse Tsai, Siang-Sin Shan, Yu-Te Liao, Josephine F. Esquivel-Upshaw, Stephen J. Pearton; High sensitivity CIP2A detection for oral cancer using a rapid transistor-based biosensor module. J. Vac. Sci. Technol. B 1 January 2023; 41 (1): 013201. https://doi.org/10.1116/6.0002175
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