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

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...

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Bibliographic Details
Published in:Nanomaterials (Basel, Switzerland) Switzerland), 2021-04, Vol.11 (5), p.1065
Main Authors: Leung, Joseph-Hang, Nguyen, Hong-Thai, Feng, Shih-Wei, Artemkina, Sofya B, Fedorov, Vladimir E, Hsieh, Shang-Chin, Wang, Hsiang-Chen
Format: Article
Language:English
Subjects:
Biosensors
Cancer
Carrier transport
Caustic soda
Chemical vapor deposition
Composite materials
Current carriers
Electrolytes
Error detection
Esophageal cancer
esophageal squamous cell carcinoma
Esophagus
Glass substrates
Glutathione
Material properties
Molybdenum
Nitrates
Oxidative stress
Photoelectric effect
Photoelectric emission
Photoelectricity
photoelectrochemical biosensor
Quantum dots
Redox reactions
Scanning electron microscopy
Semiconductors
Sensors
Spectroscopy
transient photocurrent
X-ray diffraction
Zinc oxides
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Summary: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.
ISSN:2079-4991
2079-4991
DOI:10.3390/nano11051065