Detection of In Vivo-like Cells by a Biosensor Chip Based on Metamaterials in Terahertz Regime

Author:

Han Lulu1,Wang Yuchen2,Chen Kanglong1ORCID,Gao Hengyu2,Xia Kexin1,Ge Qinggang3,Yang Jun34,Shi Wei2,Ruan Cunjun15ORCID

Affiliation:

1. School of Electronic and Information Engineering, Beihang University, Beijing 100191, China

2. School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China

3. Department of Neurosurgery, Peking University Third Hospital, Beijing 100191, China

4. Center for Precision Neurosurgery and Oncology of Peking University Health Science Center, Beijing 100191, China

5. Beijing Key Laboratory for Microwave Sensing and Security Applications, Beihang University, Beijing 100191, China

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.

Funder

Beijing Natural Science Foundation

National Natural Science Foundation of China

Beijing Hospital Authority Clinical Medicine Development Special

Publisher

MDPI AG

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