The prevalence of breast cancer in women underscores the urgent need for innovative and efficient detection methods. This study addresses this imperative by harnessing salivary biomarkers, offering a noninvasive and accessible means of identifying breast cancer. In this study, commercially available disposable based strips similar to the commonly used glucose detection strips were utilized and functionalized to detect breast cancer with biomarkers of HER2 and CA15-3. The results demonstrated limits of detection for these two biomarkers reached as low as 1 fg/ml much lower than those of conventional enzyme-linked immunosorbent assay in the range of 1∼4 ng/ml. By employing a synchronized double-pulse method to apply 10 of 1.2 ms voltage pulses to the electrode of sensing strip and drain electrode of the transistor for amplifying the detected signal, and the detected signal was the average of 10 digital output readings corresponding to those 10 voltage pulses. The sensor sensitivities were achieved approximately 70/dec and 30/dec for HER2 and CA15-3, respectively. Moreover, the efficiency of this novel technique is underscored by its swift testing time of less than 15 ms and its minimal sample requirement of only 3 μl of saliva. The simplicity of operation and the potential for widespread public use in the future position this approach as a transformative tool in the early detection of breast cancer. This research not only provides a crucial advancement in diagnostic methodologies but also holds the promise of revolutionizing public health practices.
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March 2024
Research Article|
February 13 2024
High sensitivity saliva-based biosensor in detection of breast cancer biomarkers: HER2 and CA15-3
Hsiao-Hsuan Wan
;
Hsiao-Hsuan Wan
a)
(Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft)
1
Department of Chemical Engineering, University of Florida
, Gainesville, Florida 32611
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Haochen Zhu
;
Haochen Zhu
(Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization)
1
Department of Chemical Engineering, University of Florida
, Gainesville, Florida 32611
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Chao-Ching Chiang
;
Chao-Ching Chiang
(Investigation, Methodology, Validation)
1
Department of Chemical Engineering, University of Florida
, Gainesville, Florida 32611
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Jian-Sian Li
;
Jian-Sian Li
(Methodology, Validation)
1
Department of Chemical Engineering, University of Florida
, Gainesville, Florida 32611
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Fan Ren
;
Fan Ren
(Conceptualization, Funding acquisition, Project administration, 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
(Methodology, Software, Validation)
2
Department of Electronics and Electrical Engineering, National Yang Ming Chiao Tung University
, Hsinchu 30010, Hsinchu, Taiwan
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Yu-Te Liao;
Yu-Te Liao
(Conceptualization, Funding acquisition, Project administration, Resources, Writing – review & editing)
2
Department of Electronics and Electrical Engineering, National Yang Ming Chiao Tung University
, Hsinchu 30010, Hsinchu, Taiwan
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Dan Neal
;
Dan Neal
(Methodology, Software)
3
Department of Surgery, University of Florida
, Gainesville, Florida 32610
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Josephine F. Esquivel-Upshaw
;
Josephine F. Esquivel-Upshaw
(Conceptualization, Funding acquisition, Methodology, Project administration, Resources, Supervision, Writing – review & editing)
4
Department of Restorative Dental Science, Division of Prosthodontics, University of Florida
, Gainesville, Florida 32611
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Stephen J. Pearton
Stephen J. Pearton
(Conceptualization, Funding acquisition, Project administration, Writing – review & editing)
5
Department of Materials Science and Engineering, University of Florida
, Gainesville, Florida 32611
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a)
Electronic mail: [email protected]
J. Vac. Sci. Technol. B 42, 023202 (2024)
Article history
Received:
December 07 2023
Accepted:
January 03 2024
Citation
Hsiao-Hsuan Wan, Haochen Zhu, Chao-Ching Chiang, Jian-Sian Li, Fan Ren, Cheng-Tse Tsai, Yu-Te Liao, Dan Neal, Josephine F. Esquivel-Upshaw, Stephen J. Pearton; High sensitivity saliva-based biosensor in detection of breast cancer biomarkers: HER2 and CA15-3. J. Vac. Sci. Technol. B 1 March 2024; 42 (2): 023202. https://doi.org/10.1116/6.0003370
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