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Pu Z, Wu Y, Zhu Z, Zhao H, Cui D. A new horizon for neuroscience: terahertz biotechnology in brain research. Neural Regen Res 2025; 20:309-325. [PMID: 38819036 PMCID: PMC11317941 DOI: 10.4103/nrr.nrr-d-23-00872] [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: 05/15/2023] [Revised: 11/18/2023] [Accepted: 01/03/2024] [Indexed: 06/01/2024] Open
Abstract
Terahertz biotechnology has been increasingly applied in various biomedical fields and has especially shown great potential for application in brain sciences. In this article, we review the development of terahertz biotechnology and its applications in the field of neuropsychiatry. Available evidence indicates promising prospects for the use of terahertz spectroscopy and terahertz imaging techniques in the diagnosis of amyloid disease, cerebrovascular disease, glioma, psychiatric disease, traumatic brain injury, and myelin deficit. In vitro and animal experiments have also demonstrated the potential therapeutic value of terahertz technology in some neuropsychiatric diseases. Although the precise underlying mechanism of the interactions between terahertz electromagnetic waves and the biosystem is not yet fully understood, the research progress in this field shows great potential for biomedical noninvasive diagnostic and therapeutic applications. However, the biosafety of terahertz radiation requires further exploration regarding its two-sided efficacy in practical applications. This review demonstrates that terahertz biotechnology has the potential to be a promising method in the field of neuropsychiatry based on its unique advantages.
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Affiliation(s)
- Zhengping Pu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Psychiatry, Kangci Hospital of Jiaxing, Tongxiang, Zhejiang Province, China
| | - Yu Wu
- Shanghai Synchrotron Radiation Facility, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China
- Key Laboratory of Interfacial Physics and Technology, Shanghai Institute of Applied Physics, Chinese Academy of Science, Shanghai, China
| | - Zhongjie Zhu
- National Facility for Protein Science in Shanghai, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China
| | - Hongwei Zhao
- Shanghai Synchrotron Radiation Facility, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China
- Key Laboratory of Interfacial Physics and Technology, Shanghai Institute of Applied Physics, Chinese Academy of Science, Shanghai, China
| | - Donghong Cui
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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2
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Tang M, Zhang M, Fu Y, Chen L, Li D, Zhang H, Yang Z, Wang C, Xiu P, Wilksch JJ, Luo Y, Han J, Yang H, Wang H. Terahertz label-free detection of nicotine-induced neural cell changes and the underlying mechanisms. Biosens Bioelectron 2023; 241:115697. [PMID: 37751650 DOI: 10.1016/j.bios.2023.115697] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 08/28/2023] [Accepted: 09/16/2023] [Indexed: 09/28/2023]
Abstract
Nicotine exposure can lead to neurological impairments and brain tumors, and a label-free and nondestructive detection technique is urgently required by the scientific community to assess the effects of nicotine on neural cells. Herein, a terahertz (THz) time-domain attenuated total reflection (TD-ATR) spectroscopy approach is reported, by which the effects of nicotine on normal and cancerous neural cells, i.e., HEB and U87 cells, are successfully investigated in a label/stain-free and nondestructive manner. The obtained THz absorption coefficients of HEB cells exposed to low-dose nicotine and high-dose nicotine are smaller and larger, respectively, than the untreated cells. In contrast, the THz absorption coefficients of U87 cells treated by nicotine are always smaller than the untreated cells. The THz absorption coefficients can be well related to the proliferation properties (cell number and compositional changes) and morphological changes of neural cells, by which different types of neural cells are differentiated and the viabilities of neural cells treated by nicotine are reliably assessed. Collectively, this work sheds new insights on the effects of nicotine on neural cells, and provides a useful tool (THz TD-ATR spectroscopy) for the study of chemical-cell interactions.
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Affiliation(s)
- Mingjie Tang
- Research Center of Super-Resolution Optics & Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China; Chongqing School, University of Chinese Academy of Sciences, Chongqing, 400714, China
| | - Mingkun Zhang
- Research Center of Super-Resolution Optics & Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China; Chongqing School, University of Chinese Academy of Sciences, Chongqing, 400714, China
| | - Ying Fu
- Research Center of Super-Resolution Optics & Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China; Chongqing School, University of Chinese Academy of Sciences, Chongqing, 400714, China
| | - Ligang Chen
- Research Center of Super-Resolution Optics & Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China; Chongqing School, University of Chinese Academy of Sciences, Chongqing, 400714, China
| | - Dandan Li
- Research Center of Super-Resolution Optics & Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China; Chongqing School, University of Chinese Academy of Sciences, Chongqing, 400714, China
| | - Hua Zhang
- Research Center of Super-Resolution Optics & Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China; Chongqing School, University of Chinese Academy of Sciences, Chongqing, 400714, China
| | - Zhongbo Yang
- Research Center of Super-Resolution Optics & Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China; Chongqing School, University of Chinese Academy of Sciences, Chongqing, 400714, China
| | - Chunlei Wang
- Department of Chemistry, Shanghai University, Shanghai, 200444, China
| | - Peng Xiu
- Department of Engineering Mechanics, Zhejiang University, Hangzhou, 310027, China
| | - Jonathan J Wilksch
- Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia
| | - Yang Luo
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing, 400044, China
| | - Jiaguang Han
- Center for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, 300072, China
| | - Haijun Yang
- Shanghai Synchrotron Radiation Facility, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201204, China.
| | - Huabin Wang
- Research Center of Super-Resolution Optics & Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China; Chongqing School, University of Chinese Academy of Sciences, Chongqing, 400714, China.
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3
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Gubeljak P, Xu T, Pedrazzetti L, Burton OJ, Magagnin L, Hofmann S, Malliaras GG, Lombardo A. Electrochemically-gated graphene broadband microwave waveguides for ultrasensitive biosensing. NANOSCALE 2023; 15:15304-15317. [PMID: 37682040 DOI: 10.1039/d3nr01239e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/09/2023]
Abstract
Identification of non-amplified DNA sequences and single-base mutations is essential for molecular biology and genetic diagnostics. This paper reports a novel sensor consisting of electrochemically-gated graphene coplanar waveguides coupled with a microfluidic channel. Upon exposure to analytes, propagation of electromagnetic waves in the waveguides is modified as a result of interactions with the fringing field and modulation of graphene dynamic conductivity resulting from electrostatic gating. Probe DNA sequences are immobilised on the graphene surface, and the sensor is exposed to DNA sequences which either perfectly match the probe, contain a single-base mismatch or are unrelated. By monitoring the scattering parameters at frequencies between 50 MHz and 50 GHz, unambiguous and reproducible discrimination of the different strands is achieved at concentrations as low as one attomole per litre (1 aM). By controlling and synchronising frequency sweeps, electrochemical gating, and liquid flow in the microfluidic channel, the sensor generates multidimensional datasets. Advanced data analysis techniques are utilised to take full advantage of the richness of the dataset. A classification accuracy >97% between all three sequences is achieved using different Machine Learning models, even in the presence of simulated noise and low signal-to-noise ratios. The sensor exceeds state-of-the-art sensitivity of field-effect transistors and microwave sensors for the identification of single-base mismatches.
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Affiliation(s)
- Patrik Gubeljak
- Cambridge Graphene Centre, Department of Engineering, University of Cambridge, UK
- Department of Engineering, University of Cambridge, UK
| | - Tianhui Xu
- Department of Engineering, University of Cambridge, UK
- Department of Electronic and Electrical Engineering, University College London, London, UK
| | - Lorenzo Pedrazzetti
- Department of Engineering, University of Cambridge, UK
- Dipartimento di Chimica, Materiali e Ingegneria Chimica "Giulio Natta", Politecnico di Milano, Italy
| | | | - Luca Magagnin
- Dipartimento di Chimica, Materiali e Ingegneria Chimica "Giulio Natta", Politecnico di Milano, Italy
| | | | | | - Antonio Lombardo
- Department of Engineering, University of Cambridge, UK
- Department of Electronic and Electrical Engineering, University College London, London, UK
- London Centre for Nanotechnology, University College London, UK.
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Shi S, Yuan S, Zhou J, Jiang P. Terahertz technology and its applications in head and neck diseases. iScience 2023; 26:107060. [PMID: 37534152 PMCID: PMC10391736 DOI: 10.1016/j.isci.2023.107060] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/04/2023] Open
Abstract
The terahertz (THz) radiation refers to electromagnetic waves between infrared and millimeter waves. THz technology has shown a significant potential for medical diagnosis and biomedical applications over the past three decades. Therefore, exploring the biological effects of THz waves has become an important new field in life sciences. Specifically, THz radiation has been proved to be able to diagnose and treat several head and neck diseases. In this review, we primarily discuss the biological characteristics of THz waves and clinical applications of THz technology, focusing on the research progress of THz technology in head and neck diseases (brain cancer, hypopharyngeal cancer, oral diseases, thyroid nodules, Alzheimer's disease, eyes diseases, and otitis). The future application perspectives of THz technologies in head and neck diseases are also highlighted and proposed.
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Affiliation(s)
- Shenggan Shi
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Shuqin Yuan
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Jun Zhou
- School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
| | - Peidu Jiang
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
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5
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Fu Y, Chen T, Chen L, Guo Y, Yang Z, Mu N, Feng H, Zhang M, Wang H. Terahertz time-domain attenuated total reflection spectroscopy integrated with a microfluidic chip. Front Bioeng Biotechnol 2023; 11:1143443. [PMID: 36994356 PMCID: PMC10040880 DOI: 10.3389/fbioe.2023.1143443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 03/02/2023] [Indexed: 03/16/2023] Open
Abstract
The integration of a microfluidic chip into terahertz time-domain attenuated total reflection (THz TD-ATR) spectroscopy is highly demanded for the accurate measurement of aqueous samples. Hitherto, however little work has been reported on this regard. Here, we demonstrate a strategy of fabricating a polydimethylsiloxane microfluidic chip (M-chip) suitable for the measurement of aqueous samples, and investigate the effects of its configuration, particularly the cavity depth of the M-chip on THz spectra. By measuring pure water, we find that the Fresnel formulae of two-interface model should be applied to analyze the THz spectral data when the depth is smaller than 210 μm, but the Fresnel formula of one-interface model can be applied when the depth is no less than 210 μm. We further validate this by measuring physiological solution and protein solution. This work can help promote the application of THz TD-ATR spectroscopy in the study of aqueous biological samples.
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Affiliation(s)
- Ying Fu
- Center of Super-Resolution Optics & Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China
- Chongqing School, University of Chinese Academy of Sciences, Chongqing, China
| | - Tunan Chen
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Ligang Chen
- Center of Super-Resolution Optics & Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China
- Chongqing School, University of Chinese Academy of Sciences, Chongqing, China
| | - Yuansen Guo
- Center of Super-Resolution Optics & Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China
- Chongqing School, University of Chinese Academy of Sciences, Chongqing, China
| | - Zhongbo Yang
- Center of Super-Resolution Optics & Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China
- Chongqing School, University of Chinese Academy of Sciences, Chongqing, China
| | - Ning Mu
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Hua Feng
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Mingkun Zhang
- Center of Super-Resolution Optics & Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China
- Chongqing School, University of Chinese Academy of Sciences, Chongqing, China
- *Correspondence: Mingkun Zhang, ; Huabin Wang,
| | - Huabin Wang
- Center of Super-Resolution Optics & Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China
- Chongqing School, University of Chinese Academy of Sciences, Chongqing, China
- *Correspondence: Mingkun Zhang, ; Huabin Wang,
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Multifrequency Investigation of Single- and Double-Stranded DNA with Scalable Metamaterial-Based THz Biosensors. BIOSENSORS 2022; 12:bios12070483. [PMID: 35884286 PMCID: PMC9312848 DOI: 10.3390/bios12070483] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 06/27/2022] [Accepted: 06/29/2022] [Indexed: 11/16/2022]
Abstract
Due to the occurrence of THz-excited vibrational modes in biomacromolecules, the THz frequency range has been identified as particularly suitable for developing and applying new bioanalytical methods. We present a scalable THz metamaterial-based biosensor being utilized for the multifrequency investigation of single- and double-stranded DNA (ssDNA and dsDNA) samples. It is demonstrated that the metamaterial resonance frequency shift by the DNA’s presence depends on frequency. Our experiments with the scalable THz biosensors demonstrate a major change in the degree of the power function for dsDNA by 1.53 ± 0.06 and, in comparison, 0.34 ± 0.11 for ssDNA as a function of metamaterial resonance frequency. Thus, there is a significant advantage for dsDNA detection that can be used for increased sensitivity of biomolecular detection at higher frequencies. This work represents a first step for application-specific biosensors with potential advantages in sensitivity, specificity, and robustness.
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Yu W, Shi J, Huang G, Zhou J, Zhan X, Guo Z, Tian H, Xie F, Yang X, Fu W. THz-ATR Spectroscopy Integrated with Species Recognition Based on Multi-Classifier Voting for Automated Clinical Microbial Identification. BIOSENSORS 2022; 12:bios12060378. [PMID: 35735526 PMCID: PMC9221034 DOI: 10.3390/bios12060378] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 05/21/2022] [Accepted: 05/26/2022] [Indexed: 12/31/2022]
Abstract
The demand for rapid and accurate identification of microorganisms is growing due to considerable importance in all areas related to public health and safety. Here, we demonstrate a rapid and label-free strategy for the identification of microorganisms by integrating terahertz-attenuated total reflection (THz-ATR) spectroscopy with an automated recognition method based on multi-classifier voting. Our results show that 13 standard microbial strains can be classified into three different groups of microorganisms (Gram-positive bacteria, Gram-negative bacteria, and fungi) by THz-ATR spectroscopy. To detect clinical microbial strains with better differentiation that accounts for their greater sample heterogeneity, an automated recognition algorithm is proposed based on multi-classifier voting. It uses three types of machine learning classifiers to identify five different groups of clinical microbial strains. The results demonstrate that common microorganisms, once time-consuming to distinguish by traditional microbial identification methods, can be rapidly and accurately recognized using THz-ATR spectra in minutes. The proposed automatic recognition method is optimized by a spectroscopic feature selection algorithm designed to identify the optimal diagnostic indicator, and the combination of different machine learning classifiers with a voting scheme. The total diagnostic accuracy reaches 80.77% (as high as 99.6% for Enterococcus faecalis) for 1123 isolates from clinical samples of sputum, blood, urine, and feces. This strategy demonstrates that THz spectroscopy integrated with an automatic recognition method based on multi-classifier voting significantly improves the accuracy of spectral analysis, thereby presenting a new method for true label-free identification of clinical microorganisms with high efficiency.
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Affiliation(s)
- Wenjing Yu
- Department of Laboratory Medicine, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing 400038, China; (W.Y.); (G.H.); (J.Z.); (X.Z.); (H.T.); (F.X.)
| | - Jia Shi
- Tianjin Key Laboratory of Optoelectronic Detection Technology and System, School of Electronic and Information Engineering, Tiangong University, Tianjin 300387, China; (J.S.); (Z.G.)
| | - Guorong Huang
- Department of Laboratory Medicine, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing 400038, China; (W.Y.); (G.H.); (J.Z.); (X.Z.); (H.T.); (F.X.)
| | - Jie Zhou
- Department of Laboratory Medicine, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing 400038, China; (W.Y.); (G.H.); (J.Z.); (X.Z.); (H.T.); (F.X.)
| | - Xinyu Zhan
- Department of Laboratory Medicine, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing 400038, China; (W.Y.); (G.H.); (J.Z.); (X.Z.); (H.T.); (F.X.)
| | - Zekang Guo
- Tianjin Key Laboratory of Optoelectronic Detection Technology and System, School of Electronic and Information Engineering, Tiangong University, Tianjin 300387, China; (J.S.); (Z.G.)
| | - Huiyan Tian
- Department of Laboratory Medicine, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing 400038, China; (W.Y.); (G.H.); (J.Z.); (X.Z.); (H.T.); (F.X.)
| | - Fengxin Xie
- Department of Laboratory Medicine, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing 400038, China; (W.Y.); (G.H.); (J.Z.); (X.Z.); (H.T.); (F.X.)
| | - Xiang Yang
- Department of Laboratory Medicine, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing 400038, China; (W.Y.); (G.H.); (J.Z.); (X.Z.); (H.T.); (F.X.)
- Correspondence: (X.Y.); (W.F.)
| | - Weiling Fu
- Department of Laboratory Medicine, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing 400038, China; (W.Y.); (G.H.); (J.Z.); (X.Z.); (H.T.); (F.X.)
- Correspondence: (X.Y.); (W.F.)
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8
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Wang H, Shi W, Hou L, Wang Z, Wu M, Li C, Li C. Effect of THz spectra of L-Arginine molecules by the combination of water molecules. iScience 2022; 25:103788. [PMID: 35198864 PMCID: PMC8844811 DOI: 10.1016/j.isci.2022.103788] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 12/15/2021] [Accepted: 01/13/2022] [Indexed: 11/19/2022] Open
Abstract
Most biomolecules are biologically active only in water; hence, it is worth investigating whether THz spectra of biomolecules are affected by the combination of water molecules and biomolecules. In this report, by combining the sample cell with the THz-TDS system, the THz spectra of L-Arginine crystal as well as its hydrate and aqueous solution are measured. The experimental results show that L-Arginine crystal and its hydrate share the same three absorption peaks at 0.99, 1.46, and 1.7 THz, respectively. But the trend of characteristic absorption spectrum of L-arginine solution is almost identical to that of free water. Because the contents of free water and hydrated water are different in many diseased and normal tissues, the diseased tissues can be detected according to the difference in THz spectral information. The proposed approach provides a reliable means for the detection of pathological changes of active molecules and tissues. L-Arginine crystal and its hydrate have the same three absorption peaks L-Arginine solution and free water have the same trend of absorption spectra The increment of water volume in the sample, the absorption baseline is rising
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Affiliation(s)
- Haiqing Wang
- Key Laboratory of Ultrafast Photoelectric Technology and Terahertz Science in Shaanxi, Xi’an University of Technology, Xi’an 710048, China
| | - Wei Shi
- Key Laboratory of Ultrafast Photoelectric Technology and Terahertz Science in Shaanxi, Xi’an University of Technology, Xi’an 710048, China
- Corresponding author
| | - Lei Hou
- Key Laboratory of Ultrafast Photoelectric Technology and Terahertz Science in Shaanxi, Xi’an University of Technology, Xi’an 710048, China
- Corresponding author
| | - Zhiquan Wang
- Key Laboratory of Ultrafast Photoelectric Technology and Terahertz Science in Shaanxi, Xi’an University of Technology, Xi’an 710048, China
| | - Meilin Wu
- Key Laboratory of Ultrafast Photoelectric Technology and Terahertz Science in Shaanxi, Xi’an University of Technology, Xi’an 710048, China
| | - Chaofan Li
- Key Laboratory of Ultrafast Photoelectric Technology and Terahertz Science in Shaanxi, Xi’an University of Technology, Xi’an 710048, China
| | - Chunhui Li
- Key Laboratory of Ultrafast Photoelectric Technology and Terahertz Science in Shaanxi, Xi’an University of Technology, Xi’an 710048, China
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9
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Zheng X, Gevart T, Gallot G. High precision dual-modulation differential terahertz ATR sensor for liquid measurements. OPTICS LETTERS 2021; 46:4045-4048. [PMID: 34388807 DOI: 10.1364/ol.430324] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 07/20/2021] [Indexed: 06/13/2023]
Abstract
We describe a highly sensitive and stable quantum-cascade-laser-based attenuated total reflection (ATR) terahertz sensor for the detection of very low concentration solutions, using a dual-modulation differential approach and ATR geometry. This sensor offers a very high dynamic range and a long-term stability of 40 dB, which extends the potential of terahertz radiation for the analysis of liquid and biological samples. The performance is illustrated by measurements on standard solutions of ions, sugars, and proteins, for concentrations down to 1 µM.
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10
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Hu M, Tang M, Wang H, Zhang M, Zhu S, Yang Z, Zhou S, Zhang H, Hu J, Guo Y, Wei X, Liao Y. Terahertz, infrared and Raman absorption spectra of tyrosine enantiomers and racemic compound. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 254:119611. [PMID: 33689998 DOI: 10.1016/j.saa.2021.119611] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 02/04/2021] [Accepted: 02/07/2021] [Indexed: 05/26/2023]
Abstract
The application of terahertz (THz)-based techniques in biomolecule study is very promising but still in its infancy. In the present work, we employed THz time-domain spectroscopy (THz-TDS) and THz time-domain attenuated total reflection (THz-TD-ATR) spectroscopy to investigate the properties of tyrosine (Tyr) enantiomers (L- and D-Tyr) and racemate (DL-Tyr) in solid state and aqueous solutions, respectively. THz absorption spectra of solid L- and D-Tyr show similar absorption spectra with peaks at 0.95, 1.92, 2.06 and 2.60 THz, which are obviously different from the spectrum of DL-Tyr with peaks at 1.5, 2.15 and 2.40 THz. In contrast, although THz absorption spectra of L-Tyr solution and D-Tyr solution are similar and different from the spectrum of DL-Tyr solution, both of them have no observable peaks. Interestingly, it was found that the solution containing equal amounts of L- and D-Tyr has a similar spectrum as that of DL-Tyr solution, as far as the mass concentrations of the two types of solutions are kept the same. On other hand, solid L-, D- and DL-Tyr were also investigated with infrared spectroscopy and Raman spectroscopy, respectively. The results show that the spectra of L- and D-Tyr can be regarded the same but they are slightly different from the spectrum of DL-Tyr. With the aid of principal component analysis (PCA), the difference between L-/D-Tyr and DL-Tyr can be confirmed without any ambiguity. Overall, this work systematically interrogated and evaluated the performance of THz-based techniques in the detection of the chirality of tyrosine.
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Affiliation(s)
- Meidie Hu
- College of Engineering and Technology, Southwest University, Chongqing 400716, China; Research Center of Applied Physics, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Mingjie Tang
- Research Center of Applied Physics, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China; Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China; Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing 400714, China
| | - Huabin Wang
- Research Center of Applied Physics, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China; Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China; Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing 400714, China.
| | - Mingkun Zhang
- Research Center of Applied Physics, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China; Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China; Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing 400714, China
| | - Shiping Zhu
- College of Engineering and Technology, Southwest University, Chongqing 400716, China.
| | - Zhongbo Yang
- Research Center of Applied Physics, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China; Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China; Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing 400714, China
| | - Shengling Zhou
- College of Engineering and Technology, Southwest University, Chongqing 400716, China
| | - Hua Zhang
- Research Center of Applied Physics, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China; Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China; Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing 400714, China
| | - Jiao Hu
- Research Center of Applied Physics, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Yuansen Guo
- Research Center of Applied Physics, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Xiao Wei
- College of Engineering and Technology, Southwest University, Chongqing 400716, China
| | - Yunsheng Liao
- Research Center of Applied Physics, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
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Park J, Woo S, Kim J, Lee H, Yoo YE, Hong S. Rapid and simple single-chamber nucleic acid detection system prepared through nature-inspired surface engineering. Am J Cancer Res 2021; 11:6735-6745. [PMID: 34093850 PMCID: PMC8171086 DOI: 10.7150/thno.57153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 04/16/2021] [Indexed: 11/18/2022] Open
Abstract
Background: Nucleic acid (NA)-based diagnostics enable a rapid response to various diseases, but current techniques often require multiple labor-intensive steps, which is a major obstacle to successful translation to a clinical setting. Methods: We report on a surface-engineered single-chamber device for NA extraction and in situ amplification without sample transfer. Our system has two reaction sites: a NA extraction chamber whose surface is patterned with micropillars and a reaction chamber filled with reagents for in situ polymerase-based NA amplification. These two sites are integrated in a single microfluidic device; we applied plastic injection molding for cost-effective, mass-production of the designed device. The micropillars were chemically activated via a nature-inspired silica coating to possess a specific affinity to NA. Results: As a proof-of-concept, a colorimetric pH indicator was coupled to the on-chip analysis of NA for the rapid and convenient detection of pathogens. The NA enrichment efficiency was dependent on the lysate incubation time, as diffusion controls the NA contact with the engineered surface. We could detect down to 1×103 CFU by the naked eye within one hour of the total assay time. Conclusion: We anticipate that the surface engineering technique for NA enrichment could be easily integrated as a part of various types of microfluidic chips for rapid and convenient nucleic acid-based diagnostics.
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