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Associate Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

E-Mail:

Date of Employment:2020-01-14

School/Department:医学科学与工程学院

Education Level:博士研究生

Business Address:五号楼213

Gender:Female

Contact Information:18511691903

Degree:哲学博士学位

Status:Employed

Academic Titles:副教授

Alma Mater:中山大学

Discipline:Basic Medical Sciences
Biomedical Engineering

lucy

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Gender:Female

Education Level:博士研究生

Alma Mater:中山大学

Paper

Current position: Home / Paper
Detection of In Vivo-like Cells by a Biosensor Chip Based on Metamaterials in Terahertz Regime. Biosensors (Basel).

Affiliation of Author(s):Beihang University
Journal:Biosensor
Place of Publication:瑞士
Funded by:北京市自然科学基金
Key Words:terahertz; metamaterials; biosensor; live cell
Abstract:Early diagnosis of diseases, especially cancer, is critical for effective treatment. The unique properties of terahertz technology have attracted attention in this field. However, current terahertz bio-detection methods face challenges due to differences between the test environment and the actual in vivo conditions. In this study, a novel method is proposed for detecting in vivo-like cells using a biosensor chip composed of metamaterials and a cavity. The cavity has a thickness of ~50 μm. The structure can protect cells from damage and provides a liquid environment like an in vivo state. Through simulation analysis, the metamaterials sensor exhibits a theoretical sensitivity of 0.287 THz/RIU (Refractive Index Unit) with a 50 μm thick analyte. The detection method is experimentally validated using the apoptosis of glioma cells and various cell types. The biosensor investigates the apoptosis of glioma cells under the impact of temozolomide, and the trend of the results was consistent with the Cell Counting Kit-8 method. Furthermore, at a concentration of ~5200 cells/cm2, the experimental results demonstrate that the sensor can distinguish between neurons and glioma cells with a resonance frequency difference of approximately 30 GHz. This research has significant potential for detecting glioma cells and offers an alternative approach to in vivo-like cell detection.
Indexed by:Journal paper
Translation or Not:no