1
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Zhang Q, Li T, Xu M, Islam B, Wang J. Application of Optogenetics in Neurodegenerative Diseases. Cell Mol Neurobiol 2024; 44:57. [PMID: 39060759 PMCID: PMC11281982 DOI: 10.1007/s10571-024-01486-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 06/15/2024] [Indexed: 07/28/2024]
Abstract
Optogenetics, a revolutionary technique integrating optical and genetic methodologies, offers unparalleled precision in spatial targeting and temporal resolution for cellular control. This approach enables the selective manipulation of specific neuronal populations, inducing subtle electrical changes that significantly impact complex neural circuitry. As optogenetics precisely targets and modulates neuronal activity, it holds the potential for significant breakthroughs in understanding and potentially altering the course of neurodegenerative diseases, characterized by selective neuronal loss leading to functional deficits within the nervous system. The integration of optogenetics into neurodegenerative disease research has significantly advanced in the field, offering new insights and paving the way for innovative treatment strategies. Its application in clinical settings, although still in the nascent stages, suggests a promising future for addressing some of the most challenging aspects of neurodegenerative disorders. In this review, we provide a comprehensive overview of these research undertakings.
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Affiliation(s)
- Qian Zhang
- Xiangya School of Public Health, Central South University, Changsha, 410078, Hunan, People's Republic of China
| | - Tianjiao Li
- Xiangya School of Public Health, Central South University, Changsha, 410078, Hunan, People's Republic of China
| | - Mengying Xu
- Xiangya School of Public Health, Central South University, Changsha, 410078, Hunan, People's Republic of China
| | - Binish Islam
- Xiangya School of Public Health, Central South University, Changsha, 410078, Hunan, People's Republic of China
| | - Jianwu Wang
- Xiangya School of Public Health, Central South University, Changsha, 410078, Hunan, People's Republic of China.
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2
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Qi M, Liu Y, Wang Z, Yuan S, Li K, Zhang Q, Chen M, Wei L. Self-Healable Multifunctional Fibers via Thermal Drawing. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2400785. [PMID: 38682447 PMCID: PMC11200011 DOI: 10.1002/advs.202400785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 04/08/2024] [Indexed: 05/01/2024]
Abstract
The development of soft electronics and soft fiber devices has significantly advanced flexible and wearable technology. However, they still face the risk of damage when exposed to sharp objects in real-life applications. Taking inspiration from nature, self-healable materials that can restore their physical properties after external damage offer a solution to this problem. Nevertheless, large-scale production of self-healable fibers is currently constrained. To address this limitation, this study leverages the thermal drawing technique to create elastic and stretchable self-healable thermoplastic polyurethane (STPU) fibers, enabling cost-effective mass production of such functional fibers. Furthermore, despite substantial research into the mechanisms of self-healable materials, quantifying their healing speed and time poses a persistent challenge. Thus, transmission spectra are employed as a monitoring tool to observe the real-time self-healing process, facilitating an in-depth investigation into the healing kinetics and efficiency. The versatility of the fabricated self-healable fiber extends to its ability to be doped with a wide range of functional materials, including dye molecules and magnetic microparticles, which enables modular assembly to develop distributed strain sensors and soft actuators. These achievements highlight the potential applications of self-healable fibers that seamlessly integrate with daily lives and open up new possibilities in various industries.
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Affiliation(s)
- Miao Qi
- College of Biomedical Engineering & Instrument ScienceKey Laboratory for Biomedical Engineering of Ministry of EducationZhejiang UniversityHangzhou310027China
- Zhejiang LabHangzhou311100China
| | - Yanting Liu
- School of Electrical and Electronic EngineeringNanyang Technological University50 Nanyang AvenueSingapore639798Singapore
| | - Zhe Wang
- Key Laboratory of Bionic Engineering of Ministry of EducationJilin UniversityChangchun130022China
| | - Shixing Yuan
- School of Electrical and Electronic EngineeringNanyang Technological University50 Nanyang AvenueSingapore639798Singapore
| | - Kaiwei Li
- Key Laboratory of Bionic Engineering of Ministry of EducationJilin UniversityChangchun130022China
| | - Qichong Zhang
- Suzhou Institute of Nano‐Tech and Nano‐BionicsChinese Academy of SciencesSuzhou215123China
| | - Mengxiao Chen
- College of Biomedical Engineering & Instrument ScienceKey Laboratory for Biomedical Engineering of Ministry of EducationZhejiang UniversityHangzhou310027China
- Zhejiang LabHangzhou311100China
| | - Lei Wei
- School of Electrical and Electronic EngineeringNanyang Technological University50 Nanyang AvenueSingapore639798Singapore
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3
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Han J, Choi J, Jeong H, Park D, Cheong E, Sung J, Choi HJ. Impact of Impedance Levels on Recording Quality in Flexible Neural Probes. SENSORS (BASEL, SWITZERLAND) 2024; 24:2300. [PMID: 38610511 PMCID: PMC11014004 DOI: 10.3390/s24072300] [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: 03/12/2024] [Revised: 04/01/2024] [Accepted: 04/03/2024] [Indexed: 04/14/2024]
Abstract
Flexible neural probes are attractive emerging technologies for brain recording because they can effectively record signals with minimal risk of brain damage. Reducing the electrode impedance of the probe before recording is a common practice of many researchers. However, studies investigating the impact of low impedance levels on high-quality recordings using flexible neural probes are lacking. In this study, we electrodeposited Pt onto a commercial flexible polyimide neural probe and investigated the relationship between the impedance level and the recording quality. The probe was inserted into the brains of anesthetized mice. The electrical signals of neurons in the brain, specifically the ventral posteromedial nucleus of the thalamus, were recorded at impedance levels of 50, 250, 500 and 1000 kΩ at 1 kHz. The study results demonstrated that as the impedance decreased, the quality of the signal recordings did not consistently improve. This suggests that extreme lowering of the impedance may not always be advantageous in the context of flexible neural probes.
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Affiliation(s)
- Juyeon Han
- Department of Materials Science and Engineering, Yonsei University, Seoul 03722, Republic of Korea; (J.H.)
| | - Jungsik Choi
- Department of Materials Science and Engineering, Yonsei University, Seoul 03722, Republic of Korea; (J.H.)
- Nformare Inc., Seodamun-gu, Seoul 03722, Republic of Korea
| | - Hyeonyeong Jeong
- Department of Biotechnology, Yonsei University, Seoul 03722, Republic of Korea
| | - Daerl Park
- Department of Materials Science and Engineering, Yonsei University, Seoul 03722, Republic of Korea; (J.H.)
| | - Eunji Cheong
- Department of Biotechnology, Yonsei University, Seoul 03722, Republic of Korea
| | - Jaesuk Sung
- Nformare Inc., Seodamun-gu, Seoul 03722, Republic of Korea
| | - Heon-Jin Choi
- Department of Materials Science and Engineering, Yonsei University, Seoul 03722, Republic of Korea; (J.H.)
- Nformare Inc., Seodamun-gu, Seoul 03722, Republic of Korea
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4
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Qian S, Wang X, Yan W. Piezoelectric fibers for flexible and wearable electronics. FRONTIERS OF OPTOELECTRONICS 2023; 16:3. [PMID: 36944822 PMCID: PMC10030726 DOI: 10.1007/s12200-023-00058-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 12/13/2022] [Indexed: 06/18/2023]
Abstract
Flexible and wearable electronics represent paramount technologies offering revolutionized solutions for medical diagnosis and therapy, nerve and organ interfaces, fabric computation, robot-in-medicine and metaverse. Being ubiquitous in everyday life, piezoelectric materials and devices play a vital role in flexible and wearable electronics with their intriguing functionalities, including energy harvesting, sensing and actuation, personal health care and communications. As a new emerging flexible and wearable technology, fiber-shaped piezoelectric devices offer unique advantages over conventional thin-film counterparts. In this review, we survey the recent scientific and technological breakthroughs in thermally drawn piezoelectric fibers and fiber-enabled intelligent fabrics. We highlight the fiber materials, fiber architecture, fabrication, device integration as well as functions that deliver higher forms of unique applications across smart sensing, health care, space security, actuation and energy domains. We conclude with a critical analysis of existing challenges and opportunities that will be important for the continued progress of this field.
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Affiliation(s)
- Shengtai Qian
- School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore
| | - Xingbei Wang
- School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore
| | - Wei Yan
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, China.
- School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore.
- School of Materials Science and Engineering, Nanyang Technological University, Singapore, 639798, Singapore.
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5
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Zhang M, Liu C, Li B, Shen Y, Wang H, Ji K, Mao X, Wei L, Sun R, Zhou F. Electrospun PVDF-based piezoelectric nanofibers: materials, structures, and applications. NANOSCALE ADVANCES 2023; 5:1043-1059. [PMID: 36798499 PMCID: PMC9926905 DOI: 10.1039/d2na00773h] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 01/17/2023] [Indexed: 05/14/2023]
Abstract
Polyvinylidene fluoride (PVDF) has been considered as a promising piezoelectric material for advanced sensing and energy storage systems because of its high dielectric constant and good electroactive response. Electrospinning is a straightforward, low cost, and scalable technology that can be used to create PVDF-based nanofibers with outstanding piezoelectric characteristics. Herein, we summarize the state-of-the-art progress on the use of filler doping and structural design to enhance the output performance of electrospun PVDF-based piezoelectric fiber films. We divide the fillers into single filler and double fillers and make comments on the effects of various dopant materials on the performance and the underlying mechanism of the PVDF-based piezoelectric fiber film. The effects of highly oriented structures, core-shell structures, and multilayer composite structures on the output properties of PVDF-based piezoelectric nanofibers are discussed in detail. Furthermore, the perspectives and opportunities for PVDF piezoelectric nanofibers in the fields of health care, environmental monitoring, and energy collection are also discussed.
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Affiliation(s)
- Mengdi Zhang
- School of Textile Science and Engineering, Xi'an Polytechnic University Xi'an 710048 China
- Key Laboratory of Functional Textile Material and Product of the Ministry of Education, Xi'an Polytechnic University Xi'an 710048 China
- Shaanxi College Engineering Research Center of Functional Micro/Nano Textile Materials, Xi'an Polytechnic University Xi'an 710048 China
| | - Chengkun Liu
- School of Textile Science and Engineering, Xi'an Polytechnic University Xi'an 710048 China
- Key Laboratory of Functional Textile Material and Product of the Ministry of Education, Xi'an Polytechnic University Xi'an 710048 China
- Shaanxi College Engineering Research Center of Functional Micro/Nano Textile Materials, Xi'an Polytechnic University Xi'an 710048 China
| | - Boyu Li
- Research Institute of Textile and Clothing Industries, Zhongyuan University of Technology Zhengzhou 450007 China
| | - Yutong Shen
- School of Textile Science and Engineering, Xi'an Polytechnic University Xi'an 710048 China
- Key Laboratory of Functional Textile Material and Product of the Ministry of Education, Xi'an Polytechnic University Xi'an 710048 China
- Shaanxi College Engineering Research Center of Functional Micro/Nano Textile Materials, Xi'an Polytechnic University Xi'an 710048 China
| | - Hao Wang
- School of Textile Science and Engineering, Xi'an Polytechnic University Xi'an 710048 China
- Key Laboratory of Functional Textile Material and Product of the Ministry of Education, Xi'an Polytechnic University Xi'an 710048 China
- Shaanxi College Engineering Research Center of Functional Micro/Nano Textile Materials, Xi'an Polytechnic University Xi'an 710048 China
| | - Keyu Ji
- School of Textile Science and Engineering, Xi'an Polytechnic University Xi'an 710048 China
- Key Laboratory of Functional Textile Material and Product of the Ministry of Education, Xi'an Polytechnic University Xi'an 710048 China
- Shaanxi College Engineering Research Center of Functional Micro/Nano Textile Materials, Xi'an Polytechnic University Xi'an 710048 China
| | - Xue Mao
- School of Textile Science and Engineering, Xi'an Polytechnic University Xi'an 710048 China
- Key Laboratory of Functional Textile Material and Product of the Ministry of Education, Xi'an Polytechnic University Xi'an 710048 China
- Shaanxi College Engineering Research Center of Functional Micro/Nano Textile Materials, Xi'an Polytechnic University Xi'an 710048 China
| | - Liang Wei
- School of Textile Science and Engineering, Xi'an Polytechnic University Xi'an 710048 China
- Key Laboratory of Functional Textile Material and Product of the Ministry of Education, Xi'an Polytechnic University Xi'an 710048 China
- Shaanxi College Engineering Research Center of Functional Micro/Nano Textile Materials, Xi'an Polytechnic University Xi'an 710048 China
| | - Runjun Sun
- School of Textile Science and Engineering, Xi'an Polytechnic University Xi'an 710048 China
- Key Laboratory of Functional Textile Material and Product of the Ministry of Education, Xi'an Polytechnic University Xi'an 710048 China
- Shaanxi College Engineering Research Center of Functional Micro/Nano Textile Materials, Xi'an Polytechnic University Xi'an 710048 China
| | - Fenglei Zhou
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London London WC1E 6BT UK
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6
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Chen M, Li P, Wang R, Xiang Y, Huang Z, Yu Q, He M, Liu J, Wang J, Su M, Zhang M, Jian A, Ouyang J, Zhang C, Li J, Dong M, Zeng S, Wu J, Hong P, Hou C, Zhou N, Zhang D, Zhou H, Tao G. Multifunctional Fiber-Enabled Intelligent Health Agents. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2200985. [PMID: 35820163 DOI: 10.1002/adma.202200985] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 03/31/2022] [Indexed: 06/15/2023]
Abstract
The application of wearable devices is promoting the development toward digitization and intelligence in the field of health. However, the current smart devices centered on human health have disadvantages such as weak perception, high interference degree, and unfriendly interaction. Here, an intelligent health agent based on multifunctional fibers, with the characteristics of autonomy, activeness, intelligence, and perceptibility enabling health services, is proposed. According to the requirements for healthcare in the medical field and daily life, four major aspects driven by intelligent agents, including health monitoring, therapy, protection, and minimally invasive surgery, are summarized from the perspectives of materials science, medicine, and computer science. The function of intelligent health agents is realized through multifunctional fibers as sensing units and artificial intelligence technology as a cognitive engine. The structure, characteristics, and performance of fibers and analysis systems and algorithms are reviewed, while discussing future challenges and opportunities in healthcare and medicine. Finally, based on the above four aspects, future scenarios related to health protection of a person's life are presented. Intelligent health agents will have the potential to accelerate the realization of precision medicine and active health.
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Affiliation(s)
- Min Chen
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Pan Li
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Rui Wang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Yuanzhuo Xiang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Zhiheng Huang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Qiao Yu
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Muyao He
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Jia Liu
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Jiaxi Wang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Minyu Su
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Manni Zhang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Aijia Jian
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Jingyu Ouyang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Chenxi Zhang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Jing Li
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Mengxue Dong
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Shaoning Zeng
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Jiawei Wu
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Ping Hong
- Beijing Sport University, Beijing, 100091, P. R. China
| | - Chong Hou
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Optics and Electronic Information, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Ning Zhou
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Dingyu Zhang
- Hubei Provincial Health and Health Committee, Wuhan, Hubei, 430015, P. R. China
| | - Huamin Zhou
- State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Guangming Tao
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
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7
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Qian S, Liu M, Dou Y, Fink Y, Yan W. A 'Moore's law' for fibers enables intelligent fabrics. Natl Sci Rev 2022; 10:nwac202. [PMID: 36684517 PMCID: PMC9843301 DOI: 10.1093/nsr/nwac202] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 08/14/2022] [Accepted: 08/30/2022] [Indexed: 01/25/2023] Open
Abstract
Fabrics are an indispensable part of our everyday life. They provide us with protection, offer privacy and form an intimate expression of ourselves through their esthetics. Imparting functionality at the fiber level represents an intriguing path toward innovative fabrics with a hitherto unparalleled functionality and value. The fiber technology based on thermal drawing of a preform, which is identical in its materials and geometry to the final fiber, has emerged as a powerful platform for the production of exquisite fibers with prerequisite composition, geometric complexity and control over feature size. A 'Moore's law' for fibers is emerging, delivering higher forms of function that are important for a broad spectrum of practical applications in healthcare, sports, robotics, space exploration, etc. In this review, we survey progress in thermally drawn fibers and devices, and discuss their relevance to 'smart' fabrics. A new generation of fabrics that can see, hear and speak, sense, communicate, harvest and store energy, as well as store and process data is anticipated. We conclude with a critical analysis of existing challenges and opportunities currently faced by thermally drawn fibers and fabrics that are expected to become sophisticated platforms delivering value-added services for our society.
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Affiliation(s)
| | | | - Yuhai Dou
- Institute for Energy Materials Science, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Yoel Fink
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Wei Yan
- Corresponding author. E-mail:
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8
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Gao Z, Wu G, Song Y, Li H, Zhang Y, Schneider MJ, Qiang Y, Kaszas J, Weng Z, Sun H, Huey BD, Lai RY, Zhang Y. Multiplexed Monitoring of Neurochemicals via Electrografting-Enabled Site-Selective Functionalization of Aptamers on Field-Effect Transistors. Anal Chem 2022; 94:8605-8617. [PMID: 35678711 DOI: 10.1021/acs.analchem.1c05531] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Neurochemical corelease has received much attention in understanding brain activity and cognition. Despite many attempts, the multiplexed monitoring of coreleased neurochemicals with spatiotemporal precision and minimal crosstalk using existing methods remains challenging. Here, we report a soft neural probe for multiplexed neurochemical monitoring via the electrografting-assisted site-selective functionalization of aptamers on graphene field-effect transistors (G-FETs). The neural probes possess excellent flexibility, ultralight mass (28 mg), and a nearly cellular-scale dimension of 50 μm × 50 μm for each G-FET. As a demonstration, we show that G-FETs with electrochemically grafted molecular linkers (-COOH or -NH2) and specific aptamers can be used to monitor serotonin and dopamine with high sensitivity (limit of detection: 10 pM) and selectivity (dopamine sensor >22-fold over norepinephrine; serotonin sensor >17-fold over dopamine). In addition, we demonstrate the feasibility of the simultaneous monitoring of dopamine and serotonin in a single neural probe with minimal crosstalk and interferences in phosphate-buffered saline, artificial cerebrospinal fluid, and harvested mouse brain tissues. The stability studies show that multiplexed neural probes maintain the capability for simultaneously monitoring dopamine and serotonin with minimal crosstalk after incubating in rat cerebrospinal fluid for 96 h, although a reduced sensor response at high concentrations is observed. Ex vivo studies in harvested mice brains suggest potential applications in monitoring the evoked release of dopamine and serotonin. The developed multiplexed detection methodology can also be adapted for monitoring other neurochemicals, such as metabolites and neuropeptides, by simply replacing the aptamers functionalized on the G-FETs.
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Affiliation(s)
- Zan Gao
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, Connecticut 06269, United States
| | - Guangfu Wu
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, Connecticut 06269, United States
| | - Yang Song
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, Connecticut 06269, United States
| | - Huijie Li
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, Connecticut 06269, United States
| | - Yuxuan Zhang
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, Connecticut 06269, United States
| | - Michael J Schneider
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, Connecticut 06269, United States
| | - Yingqi Qiang
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, Connecticut 06269, United States
| | - Jackson Kaszas
- Department of Materials Science and Engineering and the Institute of Materials Science, University of Connecticut, Storrs, Connecticut 06269, United States
| | - Zhengyan Weng
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, Connecticut 06269, United States
| | - He Sun
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, Connecticut 06269, United States
| | - Bryan D Huey
- Department of Materials Science and Engineering and the Institute of Materials Science, University of Connecticut, Storrs, Connecticut 06269, United States
| | - Rebecca Y Lai
- Department of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska 68588, United States
| | - Yi Zhang
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, Connecticut 06269, United States
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9
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Sui K, Meneghetti M, Kaur J, Sørensen JF, Berg RW, Markos C. Adaptive polymer fiber neural device for drug delivery and enlarged illumination angle for neuromodulation. J Neural Eng 2022; 19. [PMID: 35130533 DOI: 10.1088/1741-2552/ac5267] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 02/07/2022] [Indexed: 11/11/2022]
Abstract
OBJECTIVE Optical fiber devices constitute significant tools for the modulation and interrogation of neuronal circuitry in the mid and deep brain regions. The illuminated brain area during neuromodulation has a direct impact on the spatio-temporal properties of the brain activity and depends solely on the material and geometrical characteristics of the optical fibers. In the present work, we developed two different flexible polymer optical fibers (POFs) with integrated microfluidic channels (MFCs) and an ultra-high numerical aperture (UHNA) for enlarging the illumination angle to achieve efficient neuromodulation. APPROACH Three distinct thermoplastic polymers: polysulfone (PSU), polycarbonate (PC), and fluorinated ethylene propylene (FEP) were used to fabricate two step-index UHNA POF neural devices using a scalable thermal drawing process. The POFs were characterized in terms of their illumination map as well as their fluid delivery capability in phantom and adult rat brain slices. MAIN RESULTS A 100-fold reduced bending stiffness of the proposed fiber devices compared to their commercially available counterparts has been found. The integrated MFCs can controllably deliver dye (trypan blue) on-demand over a wide range of injection rates spanning from 10 nL/min to 1000 nL/min. Compared with commercial silica fibers, the proposed UHNA POFs exhibited an increased illumination area by 17% and 21% under 470 and 650 nm wavelength, respectively. In addition, a fluorescent light recording experiment has been conducted to demonstrate the ability of our UHNA POFs to be used as optical waveguides in fiber photometry. SIGNIFICANCE Our results overcome the current technological limitations of fiber implants that have limited illumination area and we suggest that soft neural fiber devices can be developed using different custom designs for illumination, collection, and photometry applications. We anticipate our work to pave the way towards the development of next-generation functional optical fibers for neuroscience.
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Affiliation(s)
- Kunyang Sui
- DTU Fotonik, DTU - Lyngby Campus, Ørsteds Plads, 343, Lyngby, 2800, DENMARK
| | - Marcello Meneghetti
- DTU Fotonik, DTU - Lyngby Campus, Ørsteds Plads, 343,, Lyngby, 2800, DENMARK
| | - Jaspreet Kaur
- Department of Neuroscience, University of Copenhagen Faculty of Health and Medical Sciences, Building: 62, Copenhagen, 2200, DENMARK
| | - Jakob Fleng Sørensen
- Department of Neuroscience, University of Copenhagen Faculty of Health and Medical Sciences, Building: 62, Copenhagen, 2200, DENMARK
| | - Rune W Berg
- Department of Neuroscience, University of Copenhagen Faculty of Health and Medical Sciences, Building: 62, Copenhagen, 2200, DENMARK
| | - Christos Markos
- DTU Fotonik, Technical University of Denmark, DTU Fotonik, Ørsteds Plads Building 343, room 022, Kgs.Lyngby, Lyngby, 2800, DENMARK
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10
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Wang Y, Huang Y, Bai H, Wang G, Hu X, Kumar S, Min R. Biocompatible and Biodegradable Polymer Optical Fiber for Biomedical Application: A Review. BIOSENSORS 2021; 11:472. [PMID: 34940229 PMCID: PMC8699361 DOI: 10.3390/bios11120472] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 11/20/2021] [Accepted: 11/20/2021] [Indexed: 05/09/2023]
Abstract
This article discusses recent advances in biocompatible and biodegradable polymer optical fiber (POF) for medical applications. First, the POF material and its optical properties are summarized. Then, several common optical fiber fabrication methods are thoroughly discussed. Following that, clinical applications of biocompatible and biodegradable POFs are discussed, including optogenetics, biosensing, drug delivery, and neural recording. Following that, biomedical applications expanded the specific functionalization of the material or fiber design. Different research or clinical applications necessitate the use of different equipment to achieve the desired results. Finally, the difficulty of implanting flexible fiber varies with its flexibility. We present our article in a clear and logical manner that will be useful to researchers seeking a broad perspective on the proposed topic. Overall, the content provides a comprehensive overview of biocompatible and biodegradable POFs, including previous breakthroughs, as well as recent advancements. Biodegradable optical fibers have numerous applications, opening up new avenues in biomedicine.
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Affiliation(s)
- Yue Wang
- Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University at Zhuhai, Zhuhai 519087, China; (Y.W.); (Y.H.)
| | - Yu Huang
- Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University at Zhuhai, Zhuhai 519087, China; (Y.W.); (Y.H.)
| | - Hongyi Bai
- College of Electronic Engineering, Heilongjiang University, Harbin 150080, China;
| | - Guoqing Wang
- College of Microelectronics, Shenzhen Institute of Information Technology, Shenzhen 518172, China;
| | - Xuehao Hu
- Research Center for Advanced Optics and Photoelectronics, Department of Physics, College of Science, Shantou University, Shantou 515063, China;
| | - Santosh Kumar
- Shandong Key Laboratory of Optical Communication Science and Technology, School of Physics Science and Information Technology, Liaocheng University, Liaocheng 252059, China;
| | - Rui Min
- Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University at Zhuhai, Zhuhai 519087, China; (Y.W.); (Y.H.)
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11
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Emerging Applications of Optical Fiber-Based Devices for Brain Research. ADVANCED FIBER MATERIALS 2021. [DOI: 10.1007/s42765-021-00092-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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12
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Abstract
Wearable electronics are receiving increasing attention with the advances of human society and technologies. Among various types of wearable electronics, electronic fibers/textiles, which integrate the comfort and appearance of conventional fibers/textiles with the functions of electronic devices, are expected to play important roles in remote health monitoring, disease diagnosis/treatment, and human-machine interface. This article aims to review the recent advances in electronic fibers/textiles, thus providing a comprehensive guiding reference for future work. First, we review the selection of functional materials and fabrication strategies of fiber-shaped electronic devices with emphasis on the newly developed functional materials and technologies. Their applications in sensing, light emitting, energy harvest, and energy storage are discussed. Then, the fabrication strategies and applications of electronic textiles are summarized. Furthermore, the integration of multifunctional electronic textiles and their applications are summarized. Finally, we discuss the existing challenges and propose the future development of electronic fibers/textiles.
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Affiliation(s)
- Yong Zhang
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry and Center for Nano and Micro Mechanics, Tsinghua University, Beijing 100084, P. R. China
| | - Huimin Wang
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry and Center for Nano and Micro Mechanics, Tsinghua University, Beijing 100084, P. R. China
| | - Haojie Lu
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry and Center for Nano and Micro Mechanics, Tsinghua University, Beijing 100084, P. R. China
| | - Shuo Li
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry and Center for Nano and Micro Mechanics, Tsinghua University, Beijing 100084, P. R. China
| | - Yingying Zhang
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry and Center for Nano and Micro Mechanics, Tsinghua University, Beijing 100084, P. R. China
- Corresponding author
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