1
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Zhang N, Gao F, Wang R, Shen Z, Han D, Cui Y, Zhang L, Chang C, Qiu CW, Chen X. Deep-Learning Empowered Customized Chiral Metasurface for Calibration-Free Biosensing. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024:e2411490. [PMID: 39463055 DOI: 10.1002/adma.202411490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2024] [Indexed: 10/29/2024]
Abstract
As a 2D metamaterial, metasurfaces offer an unprecedented avenue to facilitate light-matter interactions. The current "one-by-one design" method is hindered by time-consuming, repeated testing within a confined space. However, intelligent design strategies for metasurfaces, limited by data-driven properties, have rarely been explored. To address this gap, a data iterative strategy based on deep learning, coupled with a global optimization network is proposed, to achieve the customized design of chiral metasurfaces. This methodology is applied to precisely identify different chiral molecules in a label-free manner. Fundamentally different from the traditional approach of collecting data purely through simulation, the proposed data generation strategy encompasses the entire design space, which is inaccessible by conventional methods. The dataset quality is significantly improved, with a 21-fold increase in the number of chiral structures exhibiting the desired circular dichroism (CD) response (>0.6). The method's efficacy is validated by a monolayer structure that is easily prepared, demonstrating advanced sensing abilities for enantiomer-specific analysis of bio-samples. These results demonstrate the superior capability of data-driven schemes in photonic design and the potential of chiral metasurface-based platforms for calibration-free biosensing applications. The proposed approach will accelerate the development of complex systems for rapid molecular detection, spectroscopic imaging, and other applications.
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Affiliation(s)
- Nan Zhang
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, P. R. China
| | - Feng Gao
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, P. R. China
| | - Ride Wang
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing, 100071, P. R. China
| | - Zhonglei Shen
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, P. R. China
| | - Donghai Han
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, P. R. China
| | - Yuqing Cui
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, P. R. China
| | - Liuyang Zhang
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, P. R. China
| | - Chao Chang
- School of Physics, Peking University, Beijing, 100871, P. R. China
| | - Cheng-Wei Qiu
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117576, Singapore
| | - Xuefeng Chen
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, P. R. China
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2
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Wang R, Song L, Ruan H, Yang Q, Yang X, Zhang X, Jiang R, Shi X, Shkurinov AP. Ultrasensitive Terahertz Label-Free Metasensors Enabled by Quasi-Bound States in the Continuum. RESEARCH (WASHINGTON, D.C.) 2024; 7:0483. [PMID: 39329158 PMCID: PMC11425342 DOI: 10.34133/research.0483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/16/2024] [Revised: 08/28/2024] [Accepted: 09/05/2024] [Indexed: 09/28/2024]
Abstract
Advanced sensing devices based on metasurfaces have emerged as a revolutionary platform for innovative label-free biosensors, holding promise for early diagnostics and the detection of low-concentration analytes. Here, we developed a chip-based ultrasensitive terahertz (THz) metasensor, leveraging a quasi-bound state in the continuum (q-BIC) to address the challenges associated with intricate operations in trace biochemical detection. The metasensor design features an open-ring resonator metasurface, which supports magnetic dipole q-BIC combining functionalized gold nanoparticles (AuNPs) bound with a specific antibody. The substantial enhancement in THz-analyte interactions, facilitated by the potent near-field enhancement enabled by the q-BICs, results in a substantial boost in biosensor sensitivity by up to 560 GHz/refractive index units. This methodology allows for the detection of conjugated antibody-AuNPs for cardiac troponin I at concentrations as low as 0.5 pg/ml. These discoveries deliver valuable insight for AuNP-based trace biomolecule sensing and pave the path for the development of chip-scale biosensors with profound light-matter interactions.
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Affiliation(s)
- Ride Wang
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing 100071, China
| | - Lingyu Song
- Navy Clinical College, Anhui Medical University, Beijing 100048, China
- The Fifth School of Clinical Medicine, Anhui Medical University, Hefei 230032, China
- Department of Cardiology, The Sixth Medical Center of PLA General Hospital, Beijing 100048, China
| | - Hao Ruan
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing 100071, China
| | - Quanlong Yang
- School of Physics, Central South University, Changsha 410083, China
| | - Xiao Yang
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing 100071, China
| | - Xiaobao Zhang
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing 100071, China
| | - Rundong Jiang
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing 100071, China
| | - Xiangmin Shi
- Navy Clinical College, Anhui Medical University, Beijing 100048, China
- The Fifth School of Clinical Medicine, Anhui Medical University, Hefei 230032, China
- Department of Cardiology, The Sixth Medical Center of PLA General Hospital, Beijing 100048, China
| | - Alexander P Shkurinov
- Department of Physics and International Laser Center, Lomonosov Moscow State University, Leninskie Gory 1, Moscow 19991, Russia
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3
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Xu D, He T, Zheng Y, Lu Z, Gong H, Wang Z, Duan Z, Wang S. A Symmetrical Quasi-Synchronous Step-Transition Folded Waveguide Slow Wave Structure for 650 GHz Traveling Wave Tubes. SENSORS (BASEL, SWITZERLAND) 2024; 24:5289. [PMID: 39204981 PMCID: PMC11360622 DOI: 10.3390/s24165289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2024] [Revised: 08/05/2024] [Accepted: 08/14/2024] [Indexed: 09/04/2024]
Abstract
For the purpose of improving performance and reducing the fabrication difficulty of terahertz traveling wave tubes (TWTs), this paper proposes a novel single-section high-gain slow wave structure (SWS), which is named the symmetrical quasi-synchronous step-transition (SQSST) folded waveguide (FW). The SQSST-FW SWS has an artificially designed quasi-synchronous region (QSR) to suppress self-oscillations for sustaining a high gain in an untruncated circuit. Simultaneously, a symmetrical design can improve the efficiency performance to some extent. A prototype of the SQSST-FW SWS for 650 GHz TWTs is designed based on small-signal analysis and numerical simulation. The simulation results indicate that the maximum saturation gain of the designed 650 GHz SQSST-FW TWT is 39.1 dB in a 34.3 mm slow wave circuit, occurring at the 645 GHz point when a 25.4 kV 15 mA electron beam and a 0.43 mW sinusoidal input signal are applied. In addition, a maximum output power exceeding 4 W is observed at the 648 GHz point using the same beam with an increased input power of around 2.8 mW.
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Affiliation(s)
- Duo Xu
- School of Electronic Science and Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave., West Hi-Tech Zone, Chengdu 611731, China; (D.X.); (Y.Z.); (Z.L.); (H.G.); (Z.W.); (Z.D.)
| | - Tenglong He
- Southwest Electronic Equipment Research Institute, No. 496, Yingkang West Road, Jinniu Distinct, Chengdu 610036, China;
| | - Yuan Zheng
- School of Electronic Science and Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave., West Hi-Tech Zone, Chengdu 611731, China; (D.X.); (Y.Z.); (Z.L.); (H.G.); (Z.W.); (Z.D.)
| | - Zhigang Lu
- School of Electronic Science and Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave., West Hi-Tech Zone, Chengdu 611731, China; (D.X.); (Y.Z.); (Z.L.); (H.G.); (Z.W.); (Z.D.)
| | - Huarong Gong
- School of Electronic Science and Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave., West Hi-Tech Zone, Chengdu 611731, China; (D.X.); (Y.Z.); (Z.L.); (H.G.); (Z.W.); (Z.D.)
| | - Zhanliang Wang
- School of Electronic Science and Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave., West Hi-Tech Zone, Chengdu 611731, China; (D.X.); (Y.Z.); (Z.L.); (H.G.); (Z.W.); (Z.D.)
| | - Zhaoyun Duan
- School of Electronic Science and Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave., West Hi-Tech Zone, Chengdu 611731, China; (D.X.); (Y.Z.); (Z.L.); (H.G.); (Z.W.); (Z.D.)
| | - Shaomeng Wang
- School of Electronic Science and Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave., West Hi-Tech Zone, Chengdu 611731, China; (D.X.); (Y.Z.); (Z.L.); (H.G.); (Z.W.); (Z.D.)
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4
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He W, Cheng X, Hu S, Ren Z, Yu Z, Wan S, Hu Y, Jiang T. Color coded metadevices toward programmed terahertz switching. LIGHT, SCIENCE & APPLICATIONS 2024; 13:142. [PMID: 38914544 PMCID: PMC11196690 DOI: 10.1038/s41377-024-01495-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 05/01/2024] [Accepted: 05/26/2024] [Indexed: 06/26/2024]
Abstract
Terahertz modulators play a critical role in high-speed wireless communication, non-destructive imaging, and so on, which have attracted a large amount of research interest. Nevertheless, all-optical terahertz modulation, an ultrafast dynamical control approach, remains to be limited in terms of encoding and multifunction. Here we experimentally demonstrated an optical-programmed terahertz switching realized by combining optical metasurfaces with the terahertz metasurface, resulting in 2-bit dual-channel terahertz encoding. The terahertz metasurface, made up of semiconductor islands and artificial microstructures, enables effective all-optical programming by providing multiple frequency channels with ultrafast modulation at the nanosecond level. Meanwhile, optical metasurfaces covered in terahertz metasurface alter the spatial light field distribution to obtain color code. According to the time-domain coupled mode theory analysis, the energy dissipation modes in terahertz metasurface can be independently controlled by color excitation, which explains the principle of 2-bit encoding well. This work establishes a platform for all-optical programmed terahertz metadevices and may further advance the application of composite metasurface in terahertz manipulation.
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Affiliation(s)
- Weibao He
- College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China
- Nanhu Laser Laboratory, National University of Defense Technology, Changsha, China
- Hunan Provincial Key Laboratory of High Energy Laser Technology, National University of Defense Technology, Changsha, China
| | - Xiang'ai Cheng
- College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China
- Nanhu Laser Laboratory, National University of Defense Technology, Changsha, China
- Hunan Provincial Key Laboratory of High Energy Laser Technology, National University of Defense Technology, Changsha, China
| | - Siyang Hu
- College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China
| | - Ziheng Ren
- College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China
| | - Zhongyi Yu
- College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China
| | - Shun Wan
- College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China
| | - Yuze Hu
- Institute for Quantum Science and Technology, College of Science, National University of Defense Technology, Changsha, China.
| | - Tian Jiang
- Institute for Quantum Science and Technology, College of Science, National University of Defense Technology, Changsha, China.
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5
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Han L, Wang Y, Chen K, Gao H, Xia K, Ge Q, Yang J, Shi W, Ruan C. Detection of In Vivo-like Cells by a Biosensor Chip Based on Metamaterials in Terahertz Regime. BIOSENSORS 2024; 14:230. [PMID: 38785704 PMCID: PMC11117974 DOI: 10.3390/bios14050230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 04/27/2024] [Accepted: 04/29/2024] [Indexed: 05/25/2024]
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.
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Affiliation(s)
- Lulu Han
- School of Electronic and Information Engineering, Beihang University, Beijing 100191, China; (L.H.); (K.X.)
| | - Yuchen Wang
- School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China; (Y.W.); (H.G.)
| | - Kanglong Chen
- School of Electronic and Information Engineering, Beihang University, Beijing 100191, China; (L.H.); (K.X.)
| | - Hengyu Gao
- School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China; (Y.W.); (H.G.)
| | - Kexin Xia
- School of Electronic and Information Engineering, Beihang University, Beijing 100191, China; (L.H.); (K.X.)
| | - Qinggang Ge
- Department of Neurosurgery, Peking University Third Hospital, Beijing 100191, China; (Q.G.); (J.Y.)
| | - Jun Yang
- Department of Neurosurgery, Peking University Third Hospital, Beijing 100191, China; (Q.G.); (J.Y.)
- Center for Precision Neurosurgery and Oncology of Peking University Health Science Center, Beijing 100191, China
| | - Wei Shi
- School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China; (Y.W.); (H.G.)
| | - Cunjun Ruan
- School of Electronic and Information Engineering, Beihang University, Beijing 100191, China; (L.H.); (K.X.)
- Beijing Key Laboratory for Microwave Sensing and Security Applications, Beihang University, Beijing 100191, China
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6
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Lin T, Huang Y, Zhong S, Shi T, Sun F, Zhong Y, Zeng Q, Zhang Q, Cui D. Passive trapping of biomolecules in hotspots with all-dielectric terahertz metamaterials. Biosens Bioelectron 2024; 251:116126. [PMID: 38367565 DOI: 10.1016/j.bios.2024.116126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 01/12/2024] [Accepted: 02/11/2024] [Indexed: 02/19/2024]
Abstract
Electromagnetic metamaterials feature the capability of squeezing photons into hotspot regions of high intensity near-field enhancement for strong light-matter interaction, underpinning the next generation of emerging biosensors. However, randomly dispersed biomolecules around the hotspots lead to weak interactions. Here, we demonstrate an all-silicon dielectric terahertz metamaterial sensor design capable of passively trapping biomoleculars into the resonant cavities confined with powerful electric field. Specifically, multiple controllable high-quality factor resonances driven by bound states in the continuum (BIC) are realized by employing longitudinal symmetry breaking. The dielectric metamaterial sensor with nearly 15.2 experimental figure-of-merit enabling qualitative and quantitative identification of different amino acids by delivering biomolecules to the hotspots for strong light-matter interactions. It is envisioned that the presented strategy will enlighten high-performance meta-sensors design from microwaves to visible frequencies, and serve as a potential platform for microfluidic sensing, biomolecular capture, and sorting devices.
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Affiliation(s)
- Tingling Lin
- Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China; Institute of Precision Instrument and Intelligent Measurement & Control, Fuzhou University, Fuzhou, 350108, China
| | - Yi Huang
- Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China; Institute of Precision Instrument and Intelligent Measurement & Control, Fuzhou University, Fuzhou, 350108, China.
| | - Shuncong Zhong
- Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China; Institute of Precision Instrument and Intelligent Measurement & Control, Fuzhou University, Fuzhou, 350108, China.
| | - Tingting Shi
- School of Economics and Management, Minjiang University, Fuzhou, 350108, China
| | - Fuwei Sun
- Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China; Institute of Precision Instrument and Intelligent Measurement & Control, Fuzhou University, Fuzhou, 350108, China
| | - Yujie Zhong
- Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China; Institute of Precision Instrument and Intelligent Measurement & Control, Fuzhou University, Fuzhou, 350108, China
| | - Qiuming Zeng
- Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China; Institute of Precision Instrument and Intelligent Measurement & Control, Fuzhou University, Fuzhou, 350108, China
| | - Qiukun Zhang
- Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China; Institute of Precision Instrument and Intelligent Measurement & Control, Fuzhou University, Fuzhou, 350108, China
| | - Daxiang Cui
- Department of Bio-Nano Science and Engineering, Shanghai Jiaotong University, Shanghai, 200030, China
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7
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Yuan Y, Zhang J, Li C, Li H, Han Y, Lou J. Ultrafast light-driven metasurfaces with an ultra-broadband frequency agile channel for sensing. NANOSCALE 2024. [PMID: 38639481 DOI: 10.1039/d3nr06686j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/20/2024]
Abstract
Active terahertz metasurface devices have been widely used in communication technology, optical computing and biosensing. However, numerous dynamically tunable metasurfaces are only operating at a single frequency point or in a narrow range, limiting the further possibility of the devices to meet contemporary broad-spectrum biosensing requirements. In this paper, a novel compact biosensor is proposed with an ultrawide resonance frequency agile channel shifted from 0.82 to 1.85 THz, with a tuning functionality up to 55.7%. In addition, under optical pumping irradiation, the modulator with ultra-fast response is able to complete the ultra-wideband resonant mode conversion from the Fano mode to the electromagnetically induced transparency (EIT) mode within 4 ps, and achieves a frequency shift sensitivity of 118 GHz RIU-1 and 247 GHz RIU-1 at 0.82 and 1.85 THz, respectively. This mechanism implements both refractive index and conductivity sensing functions, which provide a wealth of sensing information. Thus, this work presents the possibility of realising the detection of ultra-wide fingerprint spectra and can be extended to a wider range of optical fields.
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Affiliation(s)
- Yifang Yuan
- School of Physics, Xidian University, Xi'an 700071, China
| | - Jing Zhang
- Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China
| | - Chenyu Li
- Department of Ophthalmology, the Affiliated Hospital of Qingdao University, Qingdao, 266000, China
| | - Hong Li
- GBA Research Institute of AIRCAS, Guangzhou, 510530, China
| | - Yiping Han
- School of Physics, Xidian University, Xi'an 700071, China
| | - Jing Lou
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing 100071, China
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8
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Zhang Z, Wang Z, Zhang C, Yao Z, Zhang S, Wang R, Tian Z, Han J, Chang C, Lou J, Yan X, Qiu C. Advanced Terahertz Refractive Sensing And Fingerprint Recognition Through Metasurface-Excited Surface Waves. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2308453. [PMID: 38180283 DOI: 10.1002/adma.202308453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Revised: 12/27/2023] [Indexed: 01/06/2024]
Abstract
High-sensitive metasurface-based sensors are essential for effective substance detection and insightful bio-interaction studies, which compress light in subwavelength volumes to enhance light-matter interactions. However, current methods to improve sensing performance always focus on optimizing near-field response of individual meta-atom, and fingerprint recognition for bio-substances necessitates several pixelated metasurfaces to establish a quasi-continuous spectrum. Here, a novel sensing strategy is proposed to achieve Terahertz (THz) refractive sensing, and fingerprint recognition based on surface waves (SWs). Leveraging the long-range transmission, strong confinement, and interface sensitivity of SWs, a metasurface-supporting SWs excitation and propagation is experimentally verified to achieve sensing integrations. Through wide-band information collection of SWs, the proposed sensor not only facilitates refractive sensing up to 215.5°/RIU, but also enables the simultaneous resolution of multiple fingerprint information within a continuous spectrum. By covering 5 µm thickness of polyimide, quartz and silicon nitride layers, the maximum phase change of 91.1°, 101.8°, and 126.4° is experimentally obtained within THz band, respectively. Thus, this strategy broadens the research scope of metasurface-excited SWs and introduces a novel paradigm for ultrasensitive sensing functions.
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Affiliation(s)
- Zeyan Zhang
- School of Physics, Peking University, Beijing, 100871, China
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing, 100071, China
| | - Zhuo Wang
- State Key Laboratory of Surface Physics and Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Fudan University, Shanghai, 200433, China
| | - Chao Zhang
- Department of Neurosurgery Center, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Zhibo Yao
- Center for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering, Key Laboratory of Optoelectronic Information Technology (Ministry of Education of China), Tianjin University, Tianjin, 300072, China
| | - Shoujun Zhang
- Center for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering, Key Laboratory of Optoelectronic Information Technology (Ministry of Education of China), Tianjin University, Tianjin, 300072, China
| | - Ride Wang
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing, 100071, China
| | - Zhen Tian
- Center for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering, Key Laboratory of Optoelectronic Information Technology (Ministry of Education of China), Tianjin University, Tianjin, 300072, China
| | - Jiaguang Han
- Center for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering, Key Laboratory of Optoelectronic Information Technology (Ministry of Education of China), Tianjin University, Tianjin, 300072, China
| | - Chao Chang
- School of Physics, Peking University, Beijing, 100871, China
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing, 100071, China
| | - Jing Lou
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing, 100071, China
| | - Xueqing Yan
- School of Physics, Peking University, Beijing, 100871, China
| | - Chengwei Qiu
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore
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9
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He W, Hu Y, Ren Z, Hu S, Yu Z, Wan S, Cheng X, Jiang T. Transient Loss-Induced Non-Hermitian Degeneracies for Ultrafast Terahertz Metadevices. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2304972. [PMID: 37897321 PMCID: PMC10754078 DOI: 10.1002/advs.202304972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 09/16/2023] [Indexed: 10/30/2023]
Abstract
Non-Hermitian degeneracies, also known as exceptional points (EPs), have attracted considerable attention due to their unique physical properties. In particular, metasurfaces related to EPs can open the way to unprecedented devices with functionalities such as unidirectional transmission and ultra-sensitive sensing. Herein, an active non-Hermitian metasurface with a loss-induced parity-time symmetry phase transition for ultrafast terahertz metadevices is demonstrated. Specifically, the eigenvalues of the non-Hermitian transmission matrix undergo a phase transition under optical excitation and are degenerate at EPs in parameter space, which is accompanied by the collapse of chiral transmission. Ultrafast EP modulation on a picosecond time scale can be realized through variations in the transient loss at a non-Hermitian metasurface pumped by pulsed excitation. Furthermore, by exploiting the physical characteristics of chiral transmission EPs, a switchable quarter-wave plate based on the photoactive metasurface is designed and experimentally verified and realized the corresponding function of polarization manipulation. This work opens promising possibilities for designing functional terahertz metadevices and fuses EP physics with active metasurfaces.
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Affiliation(s)
- Weibao He
- College of Advanced Interdisciplinary StudiesNational University of Defense TechnologyChangsha410073P. R. China
| | - Yuze Hu
- Institute for Quantum Science and TechnologyCollege of ScienceNational University of Defense TechnologyChangsha410073P. R. China
| | - Ziheng Ren
- College of Advanced Interdisciplinary StudiesNational University of Defense TechnologyChangsha410073P. R. China
| | - Siyang Hu
- College of Advanced Interdisciplinary StudiesNational University of Defense TechnologyChangsha410073P. R. China
| | - Zhongyi Yu
- College of Advanced Interdisciplinary StudiesNational University of Defense TechnologyChangsha410073P. R. China
| | - Shun Wan
- College of Advanced Interdisciplinary StudiesNational University of Defense TechnologyChangsha410073P. R. China
| | - Xiang'ai Cheng
- College of Advanced Interdisciplinary StudiesNational University of Defense TechnologyChangsha410073P. R. China
| | - Tian Jiang
- Institute for Quantum Science and TechnologyCollege of ScienceNational University of Defense TechnologyChangsha410073P. R. China
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10
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Sun Z, Wu X, Tao R, Zhang T, Liu X, Wang J, Wan H, Zheng S, Zhao X, Zhang Z, Yang P. Prediction of IDH mutation status of glioma based on terahertz spectral data. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 295:122629. [PMID: 36958244 DOI: 10.1016/j.saa.2023.122629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 02/07/2023] [Accepted: 03/12/2023] [Indexed: 06/18/2023]
Abstract
Gliomas are the most common type of primary tumor in the central nervous system in adults. Isocitrate dehydrogenase (IDH) mutation status is an important molecular biomarker for adult diffuse gliomas. In this study, we were aiming to predict IDH mutation status based on terahertz time-domain spectroscopy technology. Ninety-two frozen sections of glioma tissue from nine patients were included, and terahertz spectroscopy data were obtained. Through Least Absolute Shrinkage and Selection Operator (LASSO), Principal component analysis (PCA), and Random forest (RF) algorithms, a predictive model for predicting IDH mutation status in gliomas was established based on the terahertz spectroscopy dataset with an AUC of 0.844. These results indicate that gliomas with different IDH mutation status have different terahertz spectral features, and the use of terahertz spectroscopy can establish a predictive model of IDH mutation status, providing a new way for glioma research.
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Affiliation(s)
- Zhiyan Sun
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Xianhao Wu
- School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China
| | - Rui Tao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Tianyao Zhang
- School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China; Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China
| | - Xing Liu
- Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jiangfei Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Haibin Wan
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shaowen Zheng
- School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China
| | - Xiaoyan Zhao
- School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China; Shunde Innovation School, University of Science and Technology Beijing, Foshan, China.
| | - Zhaohui Zhang
- School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China; Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China.
| | - Pei Yang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
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11
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Ma Z, Jiao Y, Zhang C, Lou J, Zhao P, Zhang B, Wang Y, Yu Y, Sun W, Yan Y, Yang X, Sun L, Wang R, Chang C, Li X, Du X. Identification and quantitative detection of two pathogenic bacteria based on a terahertz metasensor. NANOSCALE 2023; 15:515-521. [PMID: 36519408 DOI: 10.1039/d2nr05038b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Bacterial infection can cause a series of diseases and play a vital role in medical care. Therefore, early diagnosis of pathogenic bacteria is crucial for effective treatment and the prevention of further infection. However, restricted by the current technology, bacterial detection is usually time-consuming and laborious and the samples need tedious processing even to be tested. Herein, we present a terahertz metasensor based on the coupling of electrical and toroidal dipoles to achieve rapid, non-destructive, label-free identification and highly sensitive quantitative detection of the two most common pathogenic bacteria. The reinforcement of the toroidal dipole significantly boosts the light-matter interactions around the surface of the microstructure, and thus the sensitivity and Q factor of the designed metasensor reach as high as 378 GHz per refractive index unit (RIU) and 21.28, respectively. Combined with the aforementioned advantages, the proposed metasensor successfully identified Escherichia coli and Staphylococcus aureus and quantitatively detected four concentrations with the lowest detectable concentration being ∼104 cfu mL-1 in the experiment. This work naturally enriches the research on THz metasensors based on the interference mechanism and inspires more innovations to facilitate the development of biosensing applications.
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Affiliation(s)
- Zhaofu Ma
- Department of General Surgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China.
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing 100071, China.
| | - Yanan Jiao
- Department of General Surgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China.
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing 100071, China.
| | - Chiben Zhang
- Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China
| | - Jing Lou
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing 100071, China.
- Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China
| | - Pengyue Zhao
- Department of General Surgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China.
| | - Bin Zhang
- Department of General Surgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China.
| | - Yujia Wang
- Department of General Surgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China.
| | - Ying Yu
- Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China
| | - Wen Sun
- Department of Anesthesiology, The Second Affiliated Hospital, Tianjin University of Traditional Chinese Medicine, Tianjin 300250, China
| | - Yang Yan
- Department of General Surgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China.
| | - Xingpeng Yang
- Department of General Surgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China.
| | - Lang Sun
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing 100071, China.
| | - Ride Wang
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing 100071, China.
| | - Chao Chang
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing 100071, China.
| | - Xiru Li
- Department of General Surgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China.
| | - Xiaohui Du
- Department of General Surgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China.
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