Sensitive detection of cancer cell apoptosis based on the non-bianisotropic metamaterials biosensors in terahertz frequency

Zhang, Zhang; Ding, Hongwei; Yan, Xin; Liu, Liang; Wei, Dequan; Wang, Meng; Yang, Qili; Yao, Jianquan

doi:10.1364/ome.8.000659

Cited by 73 publications

(36 citation statements)

References 27 publications

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“…In 2018, Zhang et al designed a metamaterial biosensor with the sensitivity of 82 GHz/RIU. Figure 4 shows the results of different amount of cancer cells HSC3 on the biosensor, which indicated the limit of the biosensor was approximately estimated to 1 × 10 5 cell/ml [36]. Qin et al demonstrated a metamaterial composed of metal ohm ring arrays, which is applied in detecting different concentrations of carbendazim.…”

Section: Treatment Of Biomedical Samplementioning

confidence: 99%

“…Zhao et al proposed THz metamaterial-based reflection spectroscopy for label-free sensing of living cells by a self-referenced method. The The dependence of resonant frequency shift Δf on cell concentration extracted from (a) [36] resonant peak intensity increase with increasing cell number, demonstrating a marked linearity with a linear correlation coefficient (R 2 ) of 0.9914 [41]. Roh et al investigated f two different THz metamaterials, namely double split ring resonator (DSRR) and the nano slot resonator (NSR), for molecule sensing in low concentration.…”

Section: Treatment Of Biomedical Samplementioning

confidence: 99%

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Terahertz spectroscopy in biomedical field: a review on signal-to-noise ratio improvement

et al. 2020

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With the non-ionizing, non-invasive, high penetration, high resolution and spectral fingerprinting features of terahertz (THz) wave, THz spectroscopy has great potential for the qualitative and quantitative identification of key substances in biomedical field, such as the early diagnosis of cancer, the accurate boundary determination of pathological tissue and non-destructive detection of superficial tissue. However, biological samples usually contain various of substances (such as water, proteins, fat and fiber), resulting in the signal-to-noise ratio (SNR) for the absorption peaks of target substances are very small and then the target substances are hard to be identified. Here, we present recent works for the SNR improvement of THz signal. These works include the usage of attenuated total reflection (ATR) spectroscopy, the fabrication of sample-sensitive metamaterials, the utilization of different agents (including contrast agents, optical clearing agents and aptamers), the application of reconstruction algorithms and the optimization of THz spectroscopy system. These methods have been proven to be effective theoretically, but only few of them have been applied into actual usage. We also analyze the reasons and summarize the advantages and disadvantages of each method. At last, we present the prospective application of THz spectroscopy in biomedical field.

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Section: Treatment Of Biomedical Samplementioning

confidence: 99%

Section: Treatment Of Biomedical Samplementioning

confidence: 99%

Terahertz spectroscopy in biomedical field: a review on signal-to-noise ratio improvement

et al. 2020

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“…Terahertz (THz) waves is located in the frequency range of 0.1-10 THz [1,2], which has revealed more and more unique applications in biomedical fields such as image [3] label-free detection [4] and recognition [5]. Metamaterials (MMs) are artificially designed electromagnetic materials composed of periodically arranged sub-wavelength elements [6][7][8][9][10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Ultrasensitive THz Sensor Based on Centrosymmetric F-Shaped Metamaterial Resonators

Zhong

et al. 2020

Front. Phys.

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An ultra-high sensitive metamaterials absorption sensor based on centrosymmetric double F-shaped metal resonators (CDFMR) is proposed, and its application in terahertz is analyzed. The sensor achieved perfect narrow-band absorption spectrum at 5.92 THz, with a high Q factor of 49.6. The resonance frequency is sensitive to the refractive index of the surface analyte, ultra-high sensitivity of 1,800 GHz/RIU and Fom value of 15 have been achieved. In addition, with a typical biomedical analyte of n = 1.3, the thickness sensitivity is 134 GHz/µm. It has important application in THz ultrasensitive biomedical sensor and detector.

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“…Recent studies of metamaterials [10][11][12] have created a large knowledgebase showing the importance of the metamaterial formalism in solving different types of biological problems [13][14][15]. Electromagnetic radiation in THz frequency range has provided a fertile ground for sensing, chemical and biomedical applications.…”

Section: Introductionmentioning

confidence: 99%

Metamaterial formalism approach for advancing the recognition of glioma areas in brain tissue biopsies

Gric¹,

Sokolovski²,

Navolokin³

et al. 2020

Opt. Mater. Express

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Early detection of a tumor makes it more probable that the patient will, finally, beat cancer and recover. The main goal of broadly defined cancer diagnostics is to determine whether a patient has a tumor, where it is located, and its histological type and severity. The major characteristic of the cancer affected tissue is the presence of the glioma cells in the sample. The current approach in diagnosis focuses mainly on microbiological, immunological, and pathological aspects rather than on the "metamaterial geometry" of the diseases. The determination of the effective properties of the biological tissue samples and treating them as disordered metamaterial media has become possible with the development of effective medium approximation techniques. Their advantage lies in their capability to treat the biological tissue samples as metamaterial structures, possessing the well-studied properties. Here, we present, for the first time to our knowledge, the studies on metamaterial properties of biological tissues to identify healthy and cancerous areas in the brain tissue. The results show that the metamaterial properties strongly differ depending on the tissue type, if it is healthy or unhealthy. The obtained effective permittivity values were dependent on various factors, like the amount of different cell types in the sample and their distribution. Based on these findings, the identification of the cancer affected areas based on their effective medium properties was performed. These results prove the metamaterial model capability in recognition of the cancer affected areas. The presented approach can have a significant impact on the development of methodological approaches toward precise identification of pathological tissues and would allow for more effective detection of cancer-related changes.

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Sensitive detection of cancer cell apoptosis based on the non-bianisotropic metamaterials biosensors in terahertz frequency

Cited by 73 publications

References 27 publications

Terahertz spectroscopy in biomedical field: a review on signal-to-noise ratio improvement

Terahertz spectroscopy in biomedical field: a review on signal-to-noise ratio improvement

Ultrasensitive THz Sensor Based on Centrosymmetric F-Shaped Metamaterial Resonators

Metamaterial formalism approach for advancing the recognition of glioma areas in brain tissue biopsies

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