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Zhang HY, Wang JY, Li JJ, Zhu J, Weng GJ, Li YL, Zhao JW. Broad-spectrum pathogenic bacteria SERS sensing with face-centered high-index facets Au CPNCs & microarray chips: A novel platform able to achieve dual-readout detection. J Colloid Interface Sci 2025; 692:137485. [PMID: 40215900 DOI: 10.1016/j.jcis.2025.137485] [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: 12/18/2024] [Revised: 03/06/2025] [Accepted: 03/30/2025] [Indexed: 05/02/2025]
Abstract
Non-specificity and inadequate quantitative capability are the primary challenges faced by the surface-enhanced Raman scattering (SERS) technique, especially when it comes to detecting bacteria in real samples. Herein, a novel face-centered Au Convex Polyhedral Nanocrystal (Au CPNC) with high-index facets and its assembly Au CPNCs microarray chip were designed and fabricated to address these challenges, within the process where 4-mercaptophenylboronic acid (4-MPBA) was utilized as a multifunctional element. The as-prepared Au CPNC possesses anisotropic raised edges enjoying tunable localized surface plasmon resonance modes for SERS enhancement. Then we obtained long-region ordered Au CPNCs microarrays equipping even greater "hot spots" with a SERS enhancement factor (EF) up to 5.38 × 107. The constructed SERS probes excellently leveraged the outstanding SERS performance of Au CPNC and the superior functions of 4-MPBA, which enabled the differences among the bacterial "fingerprints" to be highlighted. Through partial least squares discriminant analysis (PLS-DA), we successfully identified Escherichia coli, Staphylococcus aureus, Pseudomonas aeruginosa and Listeria monocytogenes with achieving limits of detection (LODs) in spiked whole blood samples of 3, 1, 2, and 2 cfu/mL, respectively. Notably, the LODs for all samples by SERS mapping visual readout mode were as low as 10 cfu/mL. In practical applications, our method demonstrated its efficacy by 100 % accurately classifying (20 cases) of real blood samples. Altogether, the theoretical significance and application value of this study reside in providing fundamental insights and approaches for the development of pathogenic bacteria detection field.
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Affiliation(s)
- Hao-Yu Zhang
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China
| | - Jing-Yuan Wang
- Department of Clinical Laboratory, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, People's Republic of China
| | - Jian-Jun Li
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China.
| | - Jian Zhu
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China
| | - Guo-Jun Weng
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China
| | - Ya-Li Li
- Department of Clinical Laboratory, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, People's Republic of China
| | - Jun-Wu Zhao
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China.
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2
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Yang C, Shen Z, Cui Y, Zhang N, Zhang L, Yan R, Chen X. Terahertz molecular vibrational sensing using 3D printed anapole meta-biosensor. Biosens Bioelectron 2025; 278:117351. [PMID: 40088702 DOI: 10.1016/j.bios.2025.117351] [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: 05/06/2024] [Revised: 12/17/2024] [Accepted: 03/05/2025] [Indexed: 03/17/2025]
Abstract
Terahertz (THz) fingerprint sensing utilizes the absorption of fingerprints generated by the unique vibrational characteristics of molecules to achieve substance-specific identification. By taking full advance of the anapole mode induced-biosensor consisting of out-of-plane metal-insulator-metal (MIM) configuration, the D-glucose solutions down to physiological level are accurately detected by proposed metasurface biosensor through the electromagnetic induced absorption (EIA) effect induced by the interaction between the metasurface and molecular vibrational fingerprint. Besides, by utilizing the vibrational fingerprint sensing ability, the pure D-glutamic acid and D-lactose, as well as their mixture have been quantitatively characterized. In addition, with the aid of machine learning algorithms, the designed single resonance metasensor achieves 100% recognition of five molecules. This work brings a convincing strategy for trace label-free molecular recognition for various species, which might extend the promising potentials of THz sensing techniques toward biomedical testing and clinical diagnosis.
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Affiliation(s)
- Chenglin Yang
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China
| | - Zhonglei Shen
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China; Centre for Disruptive Photonic Technologies, Division of Physics and Applied Physics School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore, 637371, Singapore.
| | - Yuqing Cui
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China
| | - Nan Zhang
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China
| | - Liuyang Zhang
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China.
| | - Ruqiang Yan
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China
| | - Xuefeng Chen
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China
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3
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Jung YS, Song NE, Oh SY, Park YK, Kim YJ, Seong H, You SM, Jung DH, Shin D, Lee MG, Lim MC, Han NS. Advances in in vitro cultivation techniques for comprehensive analysis of human gut microbiome. Biotechnol Adv 2025; 82:108595. [PMID: 40374084 DOI: 10.1016/j.biotechadv.2025.108595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2024] [Revised: 05/01/2025] [Accepted: 05/07/2025] [Indexed: 05/17/2025]
Abstract
The role of gut microbiota in human health and disease is becoming increasingly recognized. Historically, the impact of human gut microbiota on health has been studied using clinical trials and animal models. However, clinical studies often struggle with controlling variables and pinpointing disease-causing factors, while animal models fall short of accurately replicating the human gut environment. Additionally, continuous sample collection for gut microbiota analysis in vivo presents significant ethical and technical challenges. To address these limitations, in vitro fermentation models have emerged as promising alternatives. These models aim to simulate the structural and functional characteristics of the human gut in a controlled setting, offering valuable insights into microbial behavior. This review highlights current knowledge and technological advances in in vitro cultivation systems for human gut microbiota, focusing on key elements such as three-dimensional scaffolds, culture media, fermentation systems, and analytical techniques. By examining these components, the review establishes a framework for improving methods to cultivate and study human gut microbiota, enhancing research methodologies for better understanding microbial interactions, behavior, and adaptation in diverse environments.
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Affiliation(s)
- Young Sung Jung
- Korea Food Research Institute, Wanju, Jeollabuk-do 55365, Republic of Korea; Department of Food Science and Biotechnology, Kyung Hee University, Yongin 17104, Republic of Korea
| | - Nho-Eul Song
- Korea Food Research Institute, Wanju, Jeollabuk-do 55365, Republic of Korea
| | - Seo Yeong Oh
- Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
| | - Young Kyoung Park
- Microbial Institute for Fermentation Industry, Sunchang 56048, Republic of Korea
| | - Ye-Jin Kim
- Department of Food Science and Biotechnology, Kyung Hee University, Yongin 17104, Republic of Korea
| | - Hyunbin Seong
- Division of Animal, Horticultural, and Food Sciences, Chungbuk National University, Cheongju 28644, Republic of Korea
| | - Sang-Mook You
- Center for Bio-Based Chemistry, Korea Research Institute of Chemical Technology, Ulsan 44429, Republic of Korea
| | - Dong-Hyun Jung
- Division of Food and Nutrition, Chonnam National University, Gwangju 61186, Republic of Korea
| | - Donghyun Shin
- Department of Agricultural Convergence Technology, Jeonbuk National University, Jeonju 54896, Republic of Korea
| | - Mi-Gi Lee
- Bio-Center, Gyeonggi-do Business and Science Accelerator, Suwon 16229, Republic of Korea
| | - Min-Cheol Lim
- Korea Food Research Institute, Wanju, Jeollabuk-do 55365, Republic of Korea.
| | - Nam Soo Han
- Division of Animal, Horticultural, and Food Sciences, Chungbuk National University, Cheongju 28644, Republic of Korea.
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4
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Zhou J, Zhang X, Xu X, Wei Y, Zhang T, Tang F, Wei Y, Gong Y, Chen X, Wang T, Wang Y, Lamy de la Chapelle M, Li J, Zhao X, Fu W, Hu M. Single-Bacterium Diagnosis via Terahertz Near-Field Dielectric Nanoimaging. ACS APPLIED MATERIALS & INTERFACES 2025; 17:18074-18082. [PMID: 40073032 DOI: 10.1021/acsami.4c22571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/14/2025]
Abstract
Single-bacterium diagnostic methods with unprecedented precision and rapid turnaround times are promising tools for facilitating the transition from empirical treatment to personalized anti-infection treatment. Terahertz (THz) radiation, a cutting-edge technology for identifying pathogens, enables the label-free and non-destructive detection of intermolecular vibrational modes and bacterial dielectric properties. However, this individual dielectric property-based detection and the mismatched spatial resolution are limited for the single-bacterium identification of various species of pathogens. Here, we demonstrate a single-bacterium THz dielectric nanoimaging (STDN) strategy by customized THz scattering-type scanning near-field optical microscopy. The THz nanoimages of bacteria are explained and confirmed by theoretical modeling and near-field measurement. By synchronously tracking the bacterial intrinsic dielectric property and extrinsic morphology, the strategy achieved 99.3% and 91.6% accuracy in species identification and antibiotic susceptibility testing with the trained classifier within 2 hours. This proof-of-concept STDN strategy may propel precise bacterial infection management and help to counteract antibiotic resistance.
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Affiliation(s)
- Jie Zhou
- Department of Oncology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China
- Department of Laboratory Medicine, Xingcheng Special Service Sanatorium of Strategic Support Force, Liaoning 125105, China
- Tian Fu Jiang Xi Laboratory, Chengdu 641419, China
| | - Xiaoqiuyan Zhang
- Terahertz Research Center, School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
- Key Laboratory of Terahertz Technology, Ministry of Education, Chengdu 610054, China
- Tian Fu Jiang Xi Laboratory, Chengdu 641419, China
| | - Xingxing Xu
- Terahertz Research Center, School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
- Key Laboratory of Terahertz Technology, Ministry of Education, Chengdu 610054, China
| | - Yuanpei Wei
- Terahertz Research Center, School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
- Key Laboratory of Terahertz Technology, Ministry of Education, Chengdu 610054, China
- Tian Fu Jiang Xi Laboratory, Chengdu 641419, China
| | - Tianyu Zhang
- Terahertz Research Center, School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
- Key Laboratory of Terahertz Technology, Ministry of Education, Chengdu 610054, China
- Tian Fu Jiang Xi Laboratory, Chengdu 641419, China
| | - Fu Tang
- Terahertz Research Center, School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
- Key Laboratory of Terahertz Technology, Ministry of Education, Chengdu 610054, China
| | - Yanyu Wei
- Terahertz Research Center, School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
- Key Laboratory of Terahertz Technology, Ministry of Education, Chengdu 610054, China
| | - Yubin Gong
- Terahertz Research Center, School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
- Key Laboratory of Terahertz Technology, Ministry of Education, Chengdu 610054, China
| | - Xuequan Chen
- GBA Branch of Aerospace Information Research Institute, Chinese Academy of Sciences, Guangzhou 510700, China
| | - Tianwu Wang
- GBA Branch of Aerospace Information Research Institute, Chinese Academy of Sciences, Guangzhou 510700, China
| | - Yunxia Wang
- Department of Laboratory Medicine, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China
| | - Marc Lamy de la Chapelle
- Institut des Molécules et Matériaux Du Mans (IMMM-UMR CNRS 6283), Université Du Mans, Avenue Olivier Messiaen, Le Mans 72085, France
| | - Jianjun Li
- Department of Oncology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China
| | - Xiang Zhao
- Department of Oncology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China
| | - Weiling Fu
- Department of Laboratory Medicine, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China
- Tian Fu Jiang Xi Laboratory, Chengdu 641419, China
| | - Min Hu
- Terahertz Research Center, School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
- Key Laboratory of Terahertz Technology, Ministry of Education, Chengdu 610054, China
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5
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Wei X, Ren C, Liu B, Peng Y, Zhuang S. The theory, technology, and application of terahertz metamaterial biosensors: A review. FUNDAMENTAL RESEARCH 2025; 5:571-585. [PMID: 40242555 PMCID: PMC11997590 DOI: 10.1016/j.fmre.2024.11.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Revised: 11/07/2024] [Accepted: 11/12/2024] [Indexed: 04/18/2025] Open
Abstract
Terahertz metamaterial biosensors combine terahertz time-domain spectroscopy with metamaterial sensing to provide a sensitive detection platform for a variety of targets, including biological molecules, proteins, cells, and viruses. These biosensors are characterized by their rapid response, sensitivity, non-destructive, label-free operation, minimal sample requirement, and user-friendly design, which also allows for integration with various technical approaches. Advancing beyond traditional biosensors, terahertz metamaterial biosensors facilitate rapid and non-destructive trace detection in biomedical applications, contributing to timely diagnosis and early screening of diseases. In this paper, the theoretical basis and advanced progress of these biosensors are discussed in depth, focusing on three key areas: improving the sensitivity and specificity, and reducing the influence of water absorption in biological samples. This paper also analyzes the potential and future development of these biosensors for expanded applications. It highlights their potential for multi-band tuning, intelligent operations, and flexible, wearable biosensor applications. This review provides a valuable reference for the follow-up research and application of terahertz metamaterial biosensors in the field of biomedical detection.
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Affiliation(s)
- Xiaoke Wei
- Shidong Hospital Affiliated to University of Shanghai for Science and Technology, Terahertz Technology Innovation Research Institute, Terahertz Spectrum and Imaging Technology Cooperative Innovation Center, Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Chuanlu Ren
- Department of Clinical Laboratory, The 904th Hospital of Joint Logistic Support Force of PLA, Wuxi 214044, China
| | - Bingwei Liu
- Shidong Hospital Affiliated to University of Shanghai for Science and Technology, Terahertz Technology Innovation Research Institute, Terahertz Spectrum and Imaging Technology Cooperative Innovation Center, Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Yan Peng
- Shidong Hospital Affiliated to University of Shanghai for Science and Technology, Terahertz Technology Innovation Research Institute, Terahertz Spectrum and Imaging Technology Cooperative Innovation Center, Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Songlin Zhuang
- Shidong Hospital Affiliated to University of Shanghai for Science and Technology, Terahertz Technology Innovation Research Institute, Terahertz Spectrum and Imaging Technology Cooperative Innovation Center, Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
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6
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Fu X, Huang L, Chen Y, Pi M, Ma L, Cai H, Wang X, Chen Z, Shi H, Yang W, Zhang F, Zhang Y, Jiang H, Zhou Z, Wang C, Huang R, Zhang J, Cheng D, Wu LA, Qian A, Tian Y. Rapid, ultrasensitive, and specific RPA-THz system for pathogenic microorganism detection. BIOMEDICAL OPTICS EXPRESS 2025; 16:949-964. [PMID: 40109535 PMCID: PMC11919348 DOI: 10.1364/boe.549870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/25/2024] [Revised: 01/19/2025] [Accepted: 01/25/2025] [Indexed: 03/22/2025]
Abstract
Pathogenic microorganisms responsible for infectious diseases pose a significant global threat to human health. Existing detection methods, such as qPCR and ELISA, fail to simultaneously meet the requirements for high sensitivity, high specificity, and rapid detection. This study presents an innovative approach for the rapid, specific, and highly sensitive detection of pathogenic microorganisms, particularly Escherichia coli O157:H7 (E. coli O157:H7) and varicella-zoster virus (VZV), by combining recombinase polymerase amplification (RPA) with terahertz time-domain spectroscopy (THz-TDS). The qualitative and quantitative detection method for pathogenic microorganisms was developed and evaluated. The stable and efficient RPA reaction systems were established to specifically amplify the key conserved genes of these pathogens. Then the RPA products were purified, and enriched with MBs. The absorbance spectra were obtained using THz-TDS technology. The linear range of the RPA-THz for detecting E. coli O157:H7 was 0.55 to 5.5 × 104 pg/mL, while for VZV, it was 0.75 to 7.5 × 103 pg/mL. The limit of detection (LOD) for bacteria and viruses was 0.226 pg/mL and 0.528 pg/mL, respectively, demonstrating better sensitivity than the qPCR (550 pg/mL and 750 pg/mL, respectively). In addition, the whole amplification and detection process was completed in about 35 minutes. Compared to traditional pathogen detection techniques, the primary advantage of the developed RPA-THz method exhibited high accuracy, good reproducibility, and short detection times, enabling non-ionizing, label-free analysis for rapid detection with high sensitivity and specificity of pathogenic microorganisms. This study provides a theoretical foundation and practical demonstration for the fast and precise detection of pathogenic microorganisms. It establishes a crucial research basis for further development of RPA-THz sensors, advancing technological progress in the field of food safety, medical diagnostics, environmental monitoring, and public health.
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Affiliation(s)
- Xupeng Fu
- Xi'an Key Laboratory of Special Medicine and Health Engineering, Research Center for Special Medicine and Health Systems Engineering, Lab for Bone Metabolism, Key Lab for Space Biosciences and Biotechnology, NPU-UAB Joint Laboratory for Bone Metabolism, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China
| | - Lintao Huang
- Xi'an Key Laboratory of Special Medicine and Health Engineering, Research Center for Special Medicine and Health Systems Engineering, Lab for Bone Metabolism, Key Lab for Space Biosciences and Biotechnology, NPU-UAB Joint Laboratory for Bone Metabolism, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China
| | - Ying Chen
- Shaanxi Eye Hospital, Xian People's Hospital (Xi'an Fourth Hospital), Affiliated People's Hospital of Northwest University, Xi'an 710004, China
| | - Menglu Pi
- Xi'an Key Laboratory of Special Medicine and Health Engineering, Research Center for Special Medicine and Health Systems Engineering, Lab for Bone Metabolism, Key Lab for Space Biosciences and Biotechnology, NPU-UAB Joint Laboratory for Bone Metabolism, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China
| | - Lin Ma
- Xi'an Medical University, Xi'an 710068, China
| | - Hu Cai
- Shaanxi Medical Device Quality Testing Institute, Xi'an 712046, China
| | - Xuehao Wang
- Xi'an Key Laboratory of Special Medicine and Health Engineering, Research Center for Special Medicine and Health Systems Engineering, Lab for Bone Metabolism, Key Lab for Space Biosciences and Biotechnology, NPU-UAB Joint Laboratory for Bone Metabolism, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China
| | - Zhihao Chen
- Xi'an Key Laboratory of Special Medicine and Health Engineering, Research Center for Special Medicine and Health Systems Engineering, Lab for Bone Metabolism, Key Lab for Space Biosciences and Biotechnology, NPU-UAB Joint Laboratory for Bone Metabolism, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China
| | - Hang Shi
- Shaanxi Eye Hospital, Xian People's Hospital (Xi'an Fourth Hospital), Affiliated People's Hospital of Northwest University, Xi'an 710004, China
| | - Wenhui Yang
- Xi'an Key Laboratory of Special Medicine and Health Engineering, Research Center for Special Medicine and Health Systems Engineering, Lab for Bone Metabolism, Key Lab for Space Biosciences and Biotechnology, NPU-UAB Joint Laboratory for Bone Metabolism, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China
| | - Fulai Zhang
- Xi'an Key Laboratory of Special Medicine and Health Engineering, Research Center for Special Medicine and Health Systems Engineering, Lab for Bone Metabolism, Key Lab for Space Biosciences and Biotechnology, NPU-UAB Joint Laboratory for Bone Metabolism, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China
| | - Yang Zhang
- Shaanxi Eye Hospital, Xian People's Hospital (Xi'an Fourth Hospital), Affiliated People's Hospital of Northwest University, Xi'an 710004, China
| | - Huili Jiang
- Shaanxi Eye Hospital, Xian People's Hospital (Xi'an Fourth Hospital), Affiliated People's Hospital of Northwest University, Xi'an 710004, China
| | - Zeming Zhou
- Xi'an Medical University, Xi'an 710068, China
| | - Changhe Wang
- Shaanxi Medical Device Quality Testing Institute, Xi'an 712046, China
| | - Rong Huang
- Shaanxi Medical Device Quality Testing Institute, Xi'an 712046, China
| | - Juan Zhang
- Shaanxi Medical Device Quality Testing Institute, Xi'an 712046, China
| | - Donghao Cheng
- China Academy of Civil Aviation Science and Technology, Beijing 100028, China
| | - Li-An Wu
- Shaanxi Eye Hospital, Xian People's Hospital (Xi'an Fourth Hospital), Affiliated People's Hospital of Northwest University, Xi'an 710004, China
| | - Airong Qian
- Xi'an Key Laboratory of Special Medicine and Health Engineering, Research Center for Special Medicine and Health Systems Engineering, Lab for Bone Metabolism, Key Lab for Space Biosciences and Biotechnology, NPU-UAB Joint Laboratory for Bone Metabolism, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China
| | - Ye Tian
- Xi'an Key Laboratory of Special Medicine and Health Engineering, Research Center for Special Medicine and Health Systems Engineering, Lab for Bone Metabolism, Key Lab for Space Biosciences and Biotechnology, NPU-UAB Joint Laboratory for Bone Metabolism, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China
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7
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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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8
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Zhao X, Yang C, Chen X, Sun Y, Liu W, Ge Q, Yang J. Characteristic fingerprint spectrum of α-synuclein mutants on terahertz time-domain spectroscopy. Biophys J 2024; 123:1264-1273. [PMID: 38615192 PMCID: PMC11140463 DOI: 10.1016/j.bpj.2024.04.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 01/02/2024] [Accepted: 04/11/2024] [Indexed: 04/15/2024] Open
Abstract
α-Synuclein, a presynaptic neuronal protein encoded by the SNCA gene, is involved in the pathogenesis of Parkinson's disease. Point mutations and multiplications of α-synuclein (A30P and A53T) are correlated with early-onset Parkinson's disease characterized by rapid progression and poor prognosis. Currently, the clinical identification of SNCA variants, especially disease-related A30P and A53T mutants, remains challenging and also time consuming. This study aimed to develop a novel label-free detection method for distinguishing the SNCA mutants using transmission terahertz (THz) time-domain spectroscopy. The protein was spin-coated onto the quartz to form a thin film, which was measured using THz time-domain spectroscopy. The spectral characteristics of THz broadband pulse waves of α-synuclein protein variants (SNCA wild type, A30P, and A53T) at different frequencies were analyzed via Fourier transform. The amplitude A intensity (AWT, AA30P, and AA53T) and peak occurrence time in THz time-domain spectroscopy sensitively distinguished the three protein variants. The phase φ difference in THz frequency domain followed the trend of φWT > φA30P > φA53T. There was a significant difference in THz frequency amplitude A' corresponding to the frequency ranging from 0.4 to 0.66 THz (A'A53T > A'A30P > A'WT). At a frequency of 0.4-0.6 THz, the transmission T of THz waves distinguished three variants (TA53T > TA30P > TWT), whereas there was no difference in the transmission T at 0.66 THz. The SNCA wild-type protein and two mutant variants (A30P and A53T) had distinct characteristic fingerprint spectra on THz time-domain spectroscopy. This novel label-free detection method has great potential for the differential diagnosis of Parkinson's disease subtypes.
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Affiliation(s)
- Xiaofang Zhao
- Department of Neurosurgery, Peking University Third Hospital, Beijing, China; Center for Precision Neurosurgery and Oncology of Peking University Health Science Center, Beijing, China
| | - Chenlong Yang
- Department of Neurosurgery, Peking University Third Hospital, Beijing, China; Center for Precision Neurosurgery and Oncology of Peking University Health Science Center, Beijing, China
| | - Xin Chen
- Department of Neurosurgery, Peking University Third Hospital, Beijing, China; Center for Precision Neurosurgery and Oncology of Peking University Health Science Center, Beijing, China
| | - Yu Sun
- Department of Neurosurgery, Peking University Third Hospital, Beijing, China; Center for Precision Neurosurgery and Oncology of Peking University Health Science Center, Beijing, China
| | - Weihai Liu
- Department of Neurosurgery, Peking University Third Hospital, Beijing, China; Center for Precision Neurosurgery and Oncology of Peking University Health Science Center, Beijing, China
| | - Qinggang Ge
- Department of Intensive Care Unit, Peking University Third Hospital, Beijing, China
| | - Jun Yang
- Department of Neurosurgery, Peking University Third Hospital, Beijing, China; Center for Precision Neurosurgery and Oncology of Peking University Health Science Center, Beijing, China.
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Yan D, Cui J, Li X, Zhang L, Li J, Lu W. Enhancement of wide-band trace terahertz absorption spectroscopy based on microstructures: a review. Phys Chem Chem Phys 2023; 25:31542-31553. [PMID: 37982714 DOI: 10.1039/d3cp04746f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2023]
Abstract
Research on the interaction between nanoscale materials and light holds significant scientific significance for the development of fields such as optoelectronic conversion and biosensing. The study of micro- and nano-optics has produced numerous outstanding research achievements by utilizing the dielectric optical coupling mechanism and plasmon effects to enhance the interaction between light and matter. These findings have demonstrated tremendous potential for applications in the field of molecular fingerprint sensing. This review focuses on a retrospective analysis of recent research studies in the enhancement of wide-band trace terahertz absorption spectroscopy. The physical mechanisms of using waveguide structures, dielectric metasurfaces/meta-gratings, and spoof surface plasmon polaritons (SSPs) to improve the interaction between light and trace-amount matters are introduced. The new approaches and methods for enhancing broad-band terahertz absorption spectroscopy of trace samples using microstructure designs are discussed. Additionally, we elucidate the scientific ideas and exploratory achievements in enhancing terahertz fingerprint spectroscopy detection. Finally, we provide an outlook on the research and development direction and potential practical applications of absorption spectroscopy enhancement detection.
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Affiliation(s)
- Dexian Yan
- Centre for THz Research, China Jiliang University, Hangzhou 310018, Zhejiang, China.
- Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, Hangzhou 310018, Zhejiang, China
| | - Jing Cui
- Centre for THz Research, China Jiliang University, Hangzhou 310018, Zhejiang, China.
- Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, Hangzhou 310018, Zhejiang, China
| | - Xiangjun Li
- Centre for THz Research, China Jiliang University, Hangzhou 310018, Zhejiang, China.
- Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, Hangzhou 310018, Zhejiang, China
| | - Le Zhang
- Centre for THz Research, China Jiliang University, Hangzhou 310018, Zhejiang, China.
- Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, Hangzhou 310018, Zhejiang, China
| | - Jining Li
- College of Precision Instrument and Optoelectronic Engineering, Tianjin University, Tianjin 300072, China
| | - Wenxin Lu
- College of Information and Communication, National University of Defense Technology, Wuhan, 430010, Hubei, China
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