乳腺癌患者 HER2 和 CA 15-3 的护理点检测:双通道生物传感器的实现

Hsiao-Hsuan Wan, Haochen Zhu, Chao-Ching Chiang, Xinyi Xia, Jian-Sian Li, Fan Ren, Cheng-Tse Tsai, Yu-Te Liao, Tai-Cheng Chou, D. Neal, J. Esquivel-Upshaw
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摘要

乳腺癌仍然是一项巨大的健康挑战,每年影响着无数人。这项研究介绍了一种利用双通道试纸检测乳腺癌的创新方法,这种试纸能够同时评估两种关键的生物标志物--HER2 和 CA 15-3。这项研究中使用的试纸不仅具有成本效益,而且完全无创。这种可重复使用的设备采用了带金属氧化物半导体场效应晶体管放大功能的印刷电路板和基于 Arduino 的控制,能有效地将试纸上的电压信号转换成数字读数。该设备采用双脉冲测量而非直流电,有效地减轻了筛选效应。这两种生物标记物的检测限极低,仅为 10-15 克/毫升,比商用酶联免疫测定试剂盒高出四个数量级。该传感器灵敏度极高,HER2 为 78/dec,CA 15-3 为 56/dec。为了验证双通道条带的功效,我们进行了人体样本测试,成功区分了健康组和癌症组。结果显示,HER2 和 CA 15-3 测试的 p 值都很明显,突出了这项研究的意义。请注意,这是一个快速检测过程,不到 2 秒钟即可完成。这些研究结果为快速、准确地检测乳腺癌提供了一个很好的途径,为早期诊断和后续治疗提供了重要依据。
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Point-of-Care Detection of HER2 and CA 15-3 in Breast Cancer Patients: Dual-Channel Biosensor Implementation
Breast cancer remains a considerable health challenge, affecting numerous individuals annually. This research introduces an innovative method for detecting breast cancer utilizing dual-channel test strips capable of simultaneously assessing two key biomarkers—HER2 and CA 15-3. The test strip utilized in this study is not only cost-effective but also entirely non-invasive. The reusable device employs a printed circuit board with metal-oxide-semiconductor field-effect transistor amplification and Arduino-based control to convert voltage signals from test strips into digital readings efficiently. The device utilizes double-pulse measurement instead of direct current, effectively mitigating the screening effect. The detection limit for both biomarkers is exceptionally low at 10-15 g/mL, surpassing commercial enzyme-linked immunoassay kits by four orders of magnitude. The sensor demonstrates remarkable sensitivity, with 78/dec for HER2 and 56/dec for CA 15-3. Human sample tests were conducted to validate the efficacy of the dual-channel strip, successfully distinguishing between healthy and cancerous groups. The results reveal significant p-values for both HER2 and CA 15-3 tests, underscoring the significance of this research. Note that this is a rapid testing process, completed in less than 2 seconds. These findings offer a promising avenue for swift and accurate breast cancer detection, furnishing crucial insights for early diagnosis and subsequent treatment.
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