High sensitivity saliva-based biosensor in detection of breast cancer biomarkers: HER2 and CA15-3.
Hsiao-Hsuan WanHaochen ZhuChao-Ching ChiangJian-Sian LiFan RenCheng-Tse TsaiYu-Te LiaoDan NealJosephine F Esquivel-UpshawStephen J PeartonPublished in: Journal of vacuum science and technology. B, Nanotechnology & microelectronics : materials, processing, measurement, & phenomena : JVST B (2024)
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 μ l 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.
Keyphrases
- public health
- label free
- loop mediated isothermal amplification
- healthcare
- real time pcr
- multiple sclerosis
- mass spectrometry
- breast cancer risk
- risk factors
- quantum dots
- primary care
- blood pressure
- high throughput
- emergency department
- type diabetes
- sensitive detection
- risk assessment
- big data
- high resolution
- adipose tissue
- polycystic ovary syndrome
- current status
- young adults
- insulin resistance
- machine learning
- blood glucose
- electronic health record