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P型和N型光电化学生物传感器的特性:以食管癌检测为例

Characteristics of P-Type and N-Type Photoelectrochemical Biosensors: A Case Study for Esophageal Cancer Detection.

作者信息

Leung Joseph-Hang, Nguyen Hong-Thai, Feng Shih-Wei, Artemkina Sofya B, Fedorov Vladimir E, Hsieh Shang-Chin, Wang Hsiang-Chen

机构信息

Department of Radiology, Ditmanson Medical Foundation Chia-yi Christian Hospital, Chia Yi 60002, Taiwan.

Department of Mechanical Engineering, Advanced Institute of Manufacturing with High Tech Innovations (AIM-HI), Center for Innovative Research on Aging Society (CIRAS), National Chung Cheng University, 168, University Rd., Min Hsiung, Chia Yi 62102, Taiwan.

出版信息

Nanomaterials (Basel). 2021 Apr 21;11(5):1065. doi: 10.3390/nano11051065.

Abstract

P-type and N-type photoelectrochemical (PEC) biosensors were established in the laboratory to discuss the correlation between characteristic substances and photoactive material properties through the photogenerated charge carrier transport mechanism. Four types of human esophageal cancer cells (ECCs) were analyzed without requiring additional bias voltage. Photoelectrical characteristics were examined by scanning electron microscopy (SEM), X-ray diffraction (XRD), UV-vis reflectance spectroscopy, and photocurrent response analyses. Results showed that smaller photocurrent was measured in cases with advanced cancer stages. Glutathione (L-glutathione reduced, GSH) and Glutathione disulfide (GSSG) in cancer cells carry out redox reactions during carrier separation, which changes the photocurrent. The sensor can identify ECC stages with a certain level of photoelectrochemical response. The detection error can be optimized by adjusting the number of cells, and the detection time of about 5 min allowed repeated measurement.

摘要

在实验室中建立了P型和N型光电化学(PEC)生物传感器,以通过光生电荷载流子传输机制探讨特征物质与光活性材料特性之间的相关性。分析了四种类型的人食管癌细胞(ECC),无需额外的偏置电压。通过扫描电子显微镜(SEM)、X射线衍射(XRD)、紫外可见反射光谱和光电流响应分析来检测光电特性。结果表明,在癌症晚期病例中测得的光电流较小。癌细胞中的谷胱甘肽(还原型谷胱甘肽,GSH)和谷胱甘肽二硫化物(GSSG)在载流子分离过程中发生氧化还原反应,从而改变光电流。该传感器可以通过一定水平的光电化学响应来识别ECC阶段。通过调整细胞数量可以优化检测误差,约5分钟的检测时间允许重复测量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccef/8143162/05b184fdcd92/nanomaterials-11-01065-g001.jpg

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