Literature DB >> 33905964

Highly sensitive detection of malignant glioma cells using metamaterial-inspired THz biosensor based on electromagnetically induced transparency.

Jin Zhang1, Ning Mu2, Longhai Liu3, Jianhua Xie4, Hua Feng2, Jianquan Yao5, Tunan Chen6, Weiren Zhu7.   

Abstract

Metamaterial-inspired biosensors have been extensively studied recently years for fast and low-cost THz detection. However, only the variation of the resonance frequency has been closely concerned in such sensors so far, whiles the magnitude variation, which also provide important information of the analyte, has not been sufficiently analyzed. In this paper, by the observation of two degree of variations, we propose a label-free biosensing approach for molecular classification of glioma cells. The metamaterial biosensor consisting of cut wires and split ring resonators are proposed to realize polarization-independent electromagnetic induced transparency (EIT) at THz frequencies. Simulated results show that the EIT-like resonance experiences both resonance frequency and magnitude variations when the properties of analyte change, which is further explained with coupled oscillators model theory. The theoretical sensitivity of the biosensor is evaluated up to 496.01 GHz/RIU. In experiments, two types of glioma cells (mutant and wild-type) are cultured on the biosensor surface. The dependences of frequency shifts and the peak magnitude variations on the cells concentrations for different types give new perspective for molecular classification of glioma cells. The measured results indicate that the mutant and wild-type glioma cells can be distinguished directly by observing both the variations of EIT resonance frequency and magnitude at any cells concentrations without antibody introduction. Our metamaterial-based biosensor shows a great potential in the recognition of molecule types of glioma cells, opening alternative way to sensitive biosensing technology.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biosensing; Cancer detection; Metamaterials; THz

Year:  2021        PMID: 33905964     DOI: 10.1016/j.bios.2021.113241

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  7 in total

1.  Molecular pathological recognition of freshly excised human glioma using terahertz ATR spectroscopy.

Authors:  Ning Mu; Chuanyan Yang; Degang Xu; Shi Wang; Kang Ma; Ying Lai; Peiwen Guo; Shuixian Zhang; Yuye Wang; Hua Feng; Tunan Chen; Jianquan Yao
Journal:  Biomed Opt Express       Date:  2021-12-07       Impact factor: 3.732

2.  Terahertz Metamaterial Sensor for Sensitive Detection of Citrate Salt Solutions.

Authors:  Xinxin Deng; Yanchun Shen; Bingwei Liu; Ziyu Song; Xiaoyong He; Qinnan Zhang; Dongxiong Ling; Dongfeng Liu; Dongshan Wei
Journal:  Biosensors (Basel)       Date:  2022-06-13

3.  Label-free study on the effect of a bioactive constituent on glioma cells in vitro using terahertz ATR spectroscopy.

Authors:  Yunsheng Liao; Mingkun Zhang; Mingjie Tang; Ligang Chen; Xueqin Li; Zhongdong Liu; Huabin Wang
Journal:  Biomed Opt Express       Date:  2022-03-22       Impact factor: 3.562

4.  A Flexible Terahertz Metamaterial Biosensor for Cancer Cell Growth and Migration Detection.

Authors:  Weihao Fang; Xiaoqing Lv; Zhengtai Ma; Jian Liu; Weihua Pei; Zhaoxin Geng
Journal:  Micromachines (Basel)       Date:  2022-04-16       Impact factor: 3.523

5.  High-FOM Temperature Sensing Based on Hg-EIT-Like Liquid Metamaterial Unit.

Authors:  Jian Li; Yuedan Zhou; Fengwei Peng; Dexu Chen; Chengwei Xian; Pengjun Kuang; Liang Ma; Xueming Wei; Yongjun Huang; Guangjun Wen
Journal:  Nanomaterials (Basel)       Date:  2022-04-19       Impact factor: 5.719

6.  Terahertz thermal curve analysis for label-free identification of pathogens.

Authors:  S W Jun; Y H Ahn
Journal:  Nat Commun       Date:  2022-06-16       Impact factor: 17.694

7.  Low-Loss Dual-Band Transparency Metamaterial with Toroidal Dipole.

Authors:  Tianyu Xiang; Tao Lei; Ting Chen; Zhaoyang Shen; Jing Zhang
Journal:  Materials (Basel)       Date:  2022-07-19       Impact factor: 3.748

  7 in total

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