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Zhang Z, Yang M, Yan X, Guo X, Li J, Yang Y, Wei D, Liu L, Xie J, Liu Y, Liang L, Yao J. The Antibody-Free Recognition of Cancer Cells Using Plasmonic Biosensor Platforms with the Anisotropic Resonant Metasurfaces. ACS Appl Mater Interfaces 2020; 12:11388-11396. [PMID: 32077287 DOI: 10.1021/acsami.0c00095] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
It is vital and promising for portable and disposable biosensing devices to achieve on-site detection and analysis of cancer cells. Although traditional labeling techniques provide an accurate quantitative measurement, the complicated cell staining and high-cost measurements limit their further development. Here, we demonstrate a nonimmune biosensing technology. The plasmonic biosensors, which are based on anisotropic resonant split ring resonators in the terahertz range, successfully realize the antibody-free recognition of cancer cells. The dependences of Δf and the fitted phase slope on the cancer cell concentration at different polarizations give new perspective in hexagonal radar maps. The results indicate that the lung cancer cell A549 and liver cancer cell HepG2 can be distinguished and determined simply based on the enclosed shapes in the radar maps without any antibody introduction. The minimum concentration of identification reduces to as low as 1 × 104 cells/mL and such identification can be kept valid in a wide range of cell concentration, ranging from 104 to 105. The construction of two-dimensional extinction intensity cards of corresponding cancer cells based on the wavelet transform method also supplies corresponding information for the antibody-free recognition and determination of two cancer cells. Our plasmonic metasurface biosensors show a great potential in the determination and recognition of label-free cancer cells, being an alternative to nonimmune biosensing technology.
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Affiliation(s)
- Zhang Zhang
- The Key Laboratory of Opto-Electronics Information and Technology, Institute of Laser and Opto-Electronics, College of Precision Instruments and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China
| | - Maosheng Yang
- School of Opto-Electronic Engineering, Zaozhuang University, Zaozhuang 277160, China
| | - Xin Yan
- School of Opto-Electronic Engineering, Zaozhuang University, Zaozhuang 277160, China
| | - Xinyue Guo
- School of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
| | - Jie Li
- The Key Laboratory of Opto-Electronics Information and Technology, Institute of Laser and Opto-Electronics, College of Precision Instruments and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China
| | - Yue Yang
- The Key Laboratory of Opto-Electronics Information and Technology, Institute of Laser and Opto-Electronics, College of Precision Instruments and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China
| | - Dequan Wei
- School of Opto-Electronic Engineering, Zaozhuang University, Zaozhuang 277160, China
| | - Longhai Liu
- Advantest (China) Co., Ltd, Shanghai 201203, China
| | - Jianhua Xie
- Advantest (China) Co., Ltd, Shanghai 201203, China
| | - Yufei Liu
- College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China
| | - Lanju Liang
- The Key Laboratory of Opto-Electronics Information and Technology, Institute of Laser and Opto-Electronics, College of Precision Instruments and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China
- School of Opto-Electronic Engineering, Zaozhuang University, Zaozhuang 277160, China
| | - Jianquan Yao
- The Key Laboratory of Opto-Electronics Information and Technology, Institute of Laser and Opto-Electronics, College of Precision Instruments and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China
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