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Callegari F, Brofiga M, Tedesco M, Massobrio P. Electrophysiological features of cortical 3D networks are deeply modulated by scaffold properties. APL Bioeng 2024; 8:036112. [PMID: 39193551 PMCID: PMC11348497 DOI: 10.1063/5.0214745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Accepted: 08/05/2024] [Indexed: 08/29/2024] Open
Abstract
Three-dimensionality (3D) was proven essential for developing reliable models for different anatomical compartments and many diseases. However, the neuronal compartment still poses a great challenge as we still do not understand precisely how the brain computes information and how the complex chain of neuronal events can generate conscious behavior. Therefore, a comprehensive model of neuronal tissue has not yet been found. The present work was conceived in this framework: we aimed to contribute to what must be a collective effort by filling in some information on possible 3D strategies to pursue. We compared directly different kinds of scaffolds (i.e., PDMS sponges, thermally crosslinked hydrogels, and glass microbeads) in their effect on neuronal network activity recorded using micro-electrode arrays. While the overall rate of spiking activity remained consistent, the type of scaffold had a notable impact on bursting dynamics. The frequency, density of bursts, and occurrence of random spikes were all affected. The examination of inter-burst intervals revealed distinct burst generation patterns unique to different scaffold types. Network burst propagation unveiled divergent trends among configurations. Notably, it showed the most differences, underlying that functional variations may arise from a different 3D spatial organization. This evidence suggests that not all 3D neuronal constructs can sustain the same level of richness of activity. Furthermore, we commented on the reproducibility, efficacy, and scalability of the methods, where the beads still offer superior performances. By comparing different 3D scaffolds, our results move toward understanding the best strategies to develop functional 3D neuronal units for reliable pre-clinical studies.
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Affiliation(s)
- Francesca Callegari
- Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS), University of Genova, Genova, Italy
| | | | - Mariateresa Tedesco
- Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS), University of Genova, Genova, Italy
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Patel D, Shetty S, Acha C, Pantoja IEM, Zhao A, George D, Gracias DH. Microinstrumentation for Brain Organoids. Adv Healthc Mater 2024; 13:e2302456. [PMID: 38217546 DOI: 10.1002/adhm.202302456] [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: 07/30/2023] [Revised: 12/10/2023] [Indexed: 01/15/2024]
Abstract
Brain organoids are three-dimensional aggregates of self-organized differentiated stem cells that mimic the structure and function of human brain regions. Organoids bridge the gaps between conventional drug screening models such as planar mammalian cell culture, animal studies, and clinical trials. They can revolutionize the fields of developmental biology, neuroscience, toxicology, and computer engineering. Conventional microinstrumentation for conventional cellular engineering, such as planar microfluidic chips; microelectrode arrays (MEAs); and optical, magnetic, and acoustic techniques, has limitations when applied to three-dimensional (3D) organoids, primarily due to their limits with inherently two-dimensional geometry and interfacing. Hence, there is an urgent need to develop new instrumentation compatible with live cell culture techniques and with scalable 3D formats relevant to organoids. This review discusses conventional planar approaches and emerging 3D microinstrumentation necessary for advanced organoid-machine interfaces. Specifically, this article surveys recently developed microinstrumentation, including 3D printed and curved microfluidics, 3D and fast-scan optical techniques, buckling and self-folding MEAs, 3D interfaces for electrochemical measurements, and 3D spatially controllable magnetic and acoustic technologies relevant to two-way information transfer with brain organoids. This article highlights key challenges that must be addressed for robust organoid culture and reliable 3D spatiotemporal information transfer.
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Affiliation(s)
- Devan Patel
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Saniya Shetty
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Chris Acha
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Itzy E Morales Pantoja
- Center for Alternatives to Animal Testing (CAAT), Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, 21205, USA
| | - Alice Zhao
- Department of Biology, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Derosh George
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - David H Gracias
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
- Department of Chemistry, Johns Hopkins University, Baltimore, MD, 21218, USA
- Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, 21218, USA
- Sidney Kimmel Comprehensive Cancer Center (SKCCC), Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
- Center for MicroPhysiological Systems (MPS), Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
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Wu D, Wu S, Narongdej P, Duan S, Chen C, Yan Y, Liu Z, Hong W, Frenkel I, He X. Fast and Facile Liquid Metal Printing via Projection Lithography for Highly Stretchable Electronic Circuits. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2307632. [PMID: 38126914 DOI: 10.1002/adma.202307632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 12/19/2023] [Indexed: 12/23/2023]
Abstract
Soft electronic circuits are crucial for wearable electronics, biomedical technologies, and soft robotics, requiring soft conductive materials with high conductivity, high strain limit, and stable electrical performance under deformation. Liquid metals (LMs) have become attractive candidates with high conductivity and fluidic compliance, while effective manufacturing methods are demanded. Digital light processing (DLP)-based projection lithography is a high-resolution and high-throughput printing technique for primarily polymers and some metals. If LMs can be printed with DLP as well, the entire soft devices can be fabricated by one printer in a streamlined and highly efficient process. Herein, fast and facile DLP-based LM printing is achieved. Simply with 5-10 s of patterned ultraviolet (UV)-light exposure, a highly conductive and stretchable pattern can be printed using a photo-crosslinkable LM particle ink. The printed eutectic gallium indium traces feature high resolution (≈20 µm), conductivity (3 × 106 S m-1), stretchability (≈2500%), and excellent stability (consistent performance at different deformation). Various patterns are printed in diverse material systems for broad applications including stretchable displays, epidermal strain sensors, heaters, humidity sensors, conformal electrodes for electrography, and multi-layer actuators. The facile and scalable process, excellent performance, and diverse applications ensure its broad impact on soft electronic manufacturing.
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Affiliation(s)
- Dong Wu
- Department of Materials Science and Engineering, University of California, Los Angeles (UCLA), Los Angeles, CA, 90095, USA
| | - Shuwang Wu
- Department of Materials Science and Engineering, University of California, Los Angeles (UCLA), Los Angeles, CA, 90095, USA
| | - Poom Narongdej
- Department of Materials Science and Engineering, University of California, Los Angeles (UCLA), Los Angeles, CA, 90095, USA
| | - Sidi Duan
- Department of Materials Science and Engineering, University of California, Los Angeles (UCLA), Los Angeles, CA, 90095, USA
| | - Chi Chen
- Department of Materials Science and Engineering, University of California, Los Angeles (UCLA), Los Angeles, CA, 90095, USA
| | - Yichen Yan
- Department of Materials Science and Engineering, University of California, Los Angeles (UCLA), Los Angeles, CA, 90095, USA
| | - Zixiao Liu
- Department of Materials Science and Engineering, University of California, Los Angeles (UCLA), Los Angeles, CA, 90095, USA
| | - Wen Hong
- Department of Materials Science and Engineering, University of California, Los Angeles (UCLA), Los Angeles, CA, 90095, USA
| | - Imri Frenkel
- Department of Materials Science and Engineering, University of California, Los Angeles (UCLA), Los Angeles, CA, 90095, USA
| | - Ximin He
- Department of Materials Science and Engineering, University of California, Los Angeles (UCLA), Los Angeles, CA, 90095, USA
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Xu F, Jin H, Liu L, Yang Y, Cen J, Wu Y, Chen S, Sun D. Architecture design and advanced manufacturing of heart-on-a-chip: scaffolds, stimulation and sensors. MICROSYSTEMS & NANOENGINEERING 2024; 10:96. [PMID: 39006908 PMCID: PMC11239895 DOI: 10.1038/s41378-024-00692-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 02/18/2024] [Accepted: 02/28/2024] [Indexed: 07/16/2024]
Abstract
Heart-on-a-chip (HoC) has emerged as a highly efficient, cost-effective device for the development of engineered cardiac tissue, facilitating high-throughput testing in drug development and clinical treatment. HoC is primarily used to create a biomimetic microphysiological environment conducive to fostering the maturation of cardiac tissue and to gather information regarding the real-time condition of cardiac tissue. The development of architectural design and advanced manufacturing for these "3S" components, scaffolds, stimulation, and sensors is essential for improving the maturity of cardiac tissue cultivated on-chip, as well as the precision and accuracy of tissue states. In this review, the typical structures and manufacturing technologies of the "3S" components are summarized. The design and manufacturing suggestions for each component are proposed. Furthermore, key challenges and future perspectives of HoC platforms with integrated "3S" components are discussed. Architecture design concepts of scaffolds, stimulation and sensors in chips.
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Affiliation(s)
- Feng Xu
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102 China
| | - Hang Jin
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102 China
| | - Lingling Liu
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102 China
| | - Yuanyuan Yang
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102 China
| | - Jianzheng Cen
- Guangdong Provincial People’s Hospital, Guangzhou, 510080 China
| | - Yaobin Wu
- School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515 China
| | - Songyue Chen
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102 China
| | - Daoheng Sun
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102 China
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Rahav N, Marrero D, Soffer A, Glickman E, Beldjilali‐Labro M, Yaffe Y, Tadmor K, Leichtmann‐Bardoogo Y, Ashery U, Maoz BM. Multi-Sensor Origami Platform: A Customizable System for Obtaining Spatiotemporally Precise Functional Readouts in 3D Models. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2305555. [PMID: 38634605 PMCID: PMC11200086 DOI: 10.1002/advs.202305555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 03/14/2024] [Indexed: 04/19/2024]
Abstract
Bioprinting technology offers unprecedented opportunities to construct in vitro tissue models that recapitulate the 3D morphology and functionality of native tissue. Yet, it remains difficult to obtain adequate functional readouts from such models. In particular, it is challenging to position sensors in desired locations within pre-fabricated 3D bioprinted structures. At the same time, bioprinting tissue directly onto a sensing device is not feasible due to interference with the printer head. As such, a multi-sensing platform inspired by origami that overcomes these challenges by "folding" around a separately fabricated 3D tissue structure is proposed, allowing for the insertion of electrodes into precise locations, which are custom-defined using computer-aided-design software. The multi-sensing origami platform (MSOP) can be connected to a commercial multi-electrode array (MEA) system for data-acquisition and processing. To demonstrate the platform, how integrated 3D MEA electrodes can record neuronal electrical activity in a 3D model of a neurovascular unit is shown. The MSOP also enables a microvascular endothelial network to be cultured separately and integrated with the 3D tissue structure. Accordingly, how impedance-based sensors in the platform can measure endothelial barrier function is shown. It is further demonstrated the device's versatility by using it to measure neuronal activity in brain organoids.
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Affiliation(s)
- Noam Rahav
- School of Neurobiology, Biochemistry and BiophysicsThe George S. Wise Faculty of Life SciencesTel Aviv UniversityTel Aviv69978Israel
| | - Denise Marrero
- Instituto de Microelectrónica de Barcelona (IMB‐CNM, CSIC)Campus UABBellaterraBarcelona08193Spain
- Centro de Investigación Biomédica en Red en Bioingeniería Biomateriales y NanomedicinaMadrid50018Spain
- Department of Biomedical EngineeringTel Aviv UniversityTel Aviv69978Israel
| | - Adi Soffer
- Department of Biomedical EngineeringTel Aviv UniversityTel Aviv69978Israel
| | - Emma Glickman
- Department of Biomedical EngineeringTel Aviv UniversityTel Aviv69978Israel
| | | | - Yakey Yaffe
- Sagol Center for Regenerative MedicineTel Aviv UniversityTel Aviv69978Israel
| | - Keshet Tadmor
- Sagol School of NeuroscienceTel Aviv UniversityTel Aviv69978Israel
| | | | - Uri Ashery
- School of Neurobiology, Biochemistry and BiophysicsThe George S. Wise Faculty of Life SciencesTel Aviv UniversityTel Aviv69978Israel
- Sagol Center for Regenerative MedicineTel Aviv UniversityTel Aviv69978Israel
- Sagol School of NeuroscienceTel Aviv UniversityTel Aviv69978Israel
| | - Ben M. Maoz
- Department of Biomedical EngineeringTel Aviv UniversityTel Aviv69978Israel
- Sagol Center for Regenerative MedicineTel Aviv UniversityTel Aviv69978Israel
- Sagol School of NeuroscienceTel Aviv UniversityTel Aviv69978Israel
- The Center for Nanoscience and NanotechnologyTel Aviv UniversityTel Aviv69978Israel
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Park B, Jeong C, Ok J, Kim TI. Materials and Structural Designs toward Motion Artifact-Free Bioelectronics. Chem Rev 2024; 124:6148-6197. [PMID: 38690686 DOI: 10.1021/acs.chemrev.3c00374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2024]
Abstract
Bioelectronics encompassing electronic components and circuits for accessing human information play a vital role in real-time and continuous monitoring of biophysiological signals of electrophysiology, mechanical physiology, and electrochemical physiology. However, mechanical noise, particularly motion artifacts, poses a significant challenge in accurately detecting and analyzing target signals. While software-based "postprocessing" methods and signal filtering techniques have been widely employed, challenges such as signal distortion, major requirement of accurate models for classification, power consumption, and data delay inevitably persist. This review presents an overview of noise reduction strategies in bioelectronics, focusing on reducing motion artifacts and improving the signal-to-noise ratio through hardware-based approaches such as "preprocessing". One of the main stress-avoiding strategies is reducing elastic mechanical energies applied to bioelectronics to prevent stress-induced motion artifacts. Various approaches including strain-compliance, strain-resistance, and stress-damping techniques using unique materials and structures have been explored. Future research should optimize materials and structure designs, establish stable processes and measurement methods, and develop techniques for selectively separating and processing overlapping noises. Ultimately, these advancements will contribute to the development of more reliable and effective bioelectronics for healthcare monitoring and diagnostics.
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Affiliation(s)
- Byeonghak Park
- School of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon 16419, Republic of Korea
| | - Chanho Jeong
- School of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon 16419, Republic of Korea
| | - Jehyung Ok
- School of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon 16419, Republic of Korea
| | - Tae-Il Kim
- School of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon 16419, Republic of Korea
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Li N, Ou J, He H, He J, Zhang L, Peng Z, Zhong J, Jiang N. Exploration of a machine learning approach for diagnosing sarcopenia among Chinese community-dwelling older adults using sEMG-based data. J Neuroeng Rehabil 2024; 21:69. [PMID: 38725065 PMCID: PMC11080130 DOI: 10.1186/s12984-024-01369-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 04/25/2024] [Indexed: 05/13/2024] Open
Abstract
BACKGROUND In the practical application of sarcopenia screening, there is a need for faster, time-saving, and community-friendly detection methods. The primary purpose of this study was to perform sarcopenia screening in community-dwelling older adults and investigate whether surface electromyogram (sEMG) from hand grip could potentially be used to detect sarcopenia using machine learning (ML) methods with reasonable features extracted from sEMG signals. The secondary aim was to provide the interpretability of the obtained ML models using a novel feature importance estimation method. METHODS A total of 158 community-dwelling older residents (≥ 60 years old) were recruited. After screening through the diagnostic criteria of the Asian Working Group for Sarcopenia in 2019 (AWGS 2019) and data quality check, participants were assigned to the healthy group (n = 45) and the sarcopenic group (n = 48). sEMG signals from six forearm muscles were recorded during the hand grip task at 20% maximal voluntary contraction (MVC) and 50% MVC. After filtering recorded signals, nine representative features were extracted, including six time-domain features plus three time-frequency domain features. Then, a voting classifier ensembled by a support vector machine (SVM), a random forest (RF), and a gradient boosting machine (GBM) was implemented to classify healthy versus sarcopenic participants. Finally, the SHapley Additive exPlanations (SHAP) method was utilized to investigate feature importance during classification. RESULTS Seven out of the nine features exhibited statistically significant differences between healthy and sarcopenic participants in both 20% and 50% MVC tests. Using these features, the voting classifier achieved 80% sensitivity and 73% accuracy through a five-fold cross-validation. Such performance was better than each of the SVM, RF, and GBM models alone. Lastly, SHAP results revealed that the wavelength (WL) and the kurtosis of continuous wavelet transform coefficients (CWT_kurtosis) had the highest feature impact scores. CONCLUSION This study proposed a method for community-based sarcopenia screening using sEMG signals of forearm muscles. Using a voting classifier with nine representative features, the accuracy exceeds 70% and the sensitivity exceeds 75%, indicating moderate classification performance. Interpretable results obtained from the SHAP model suggest that motor unit (MU) activation mode may be a key factor affecting sarcopenia.
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Affiliation(s)
- Na Li
- The National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, China
- Medical Equipment Innovation Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, China
- The Med-X Center for Manufacturing, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Jiarui Ou
- College of Computer Science, Sichuan University, Chengdu, 610065, China
| | - Haoru He
- The National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, China
- Medical Equipment Innovation Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, China
- The Med-X Center for Manufacturing, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Jiayuan He
- The National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, China
- Medical Equipment Innovation Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, China
- The Med-X Center for Manufacturing, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Le Zhang
- College of Computer Science, Sichuan University, Chengdu, 610065, China
| | - Zhengchun Peng
- School of Electronic Information and ElectricaEngineering, Shanghaijiao Tong University, Shanghai, 200240, China
| | - Junwen Zhong
- Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Macau, SAR, 999078, China
| | - Ning Jiang
- The National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, China.
- Medical Equipment Innovation Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, China.
- The Med-X Center for Manufacturing, Sichuan University, Chengdu, Sichuan, 610041, China.
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Chung WG, Jang J, Cui G, Lee S, Jeong H, Kang H, Seo H, Kim S, Kim E, Lee J, Lee SG, Byeon SH, Park JU. Liquid-metal-based three-dimensional microelectrode arrays integrated with implantable ultrathin retinal prosthesis for vision restoration. NATURE NANOTECHNOLOGY 2024; 19:688-697. [PMID: 38225357 PMCID: PMC11106006 DOI: 10.1038/s41565-023-01587-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Accepted: 11/28/2023] [Indexed: 01/17/2024]
Abstract
Electronic retinal prostheses for stimulating retinal neurons are promising for vision restoration. However, the rigid electrodes of conventional retinal implants can inflict damage on the soft retina tissue. They also have limited selectivity due to their poor proximity to target cells in the degenerative retina. Here we present a soft artificial retina (thickness, 10 μm) where flexible ultrathin photosensitive transistors are integrated with three-dimensional stimulation electrodes of eutectic gallium-indium alloy. Platinum nanoclusters locally coated only on the tip of these three-dimensional liquid-metal electrodes show advantages in reducing the impedance of the stimulation electrodes. These microelectrodes can enhance the proximity to the target retinal ganglion cells and provide effective charge injections (72.84 mC cm-2) to elicit neural responses in the retina. Their low Young's modulus (234 kPa), owing to their liquid form, can minimize damage to the retina. Furthermore, we used an unsupervised machine learning approach to effectively identify the evoked spikes to grade neural activities within the retinal ganglion cells. Results from in vivo experiments on a retinal degeneration mouse model reveal that the spatiotemporal distribution of neural responses on their retina can be mapped under selective localized illumination areas of light, suggesting the restoration of their vision.
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Affiliation(s)
- Won Gi Chung
- Department of Materials Science & Engineering, Yonsei University, Seoul, Republic of Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea
- Graduate Program of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, Republic of Korea
| | - Jiuk Jang
- Department of Materials Science & Engineering, Yonsei University, Seoul, Republic of Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea
- Graduate Program of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, Republic of Korea
| | - Gang Cui
- Institute of Vision Research, Department of Ophthalmology, Severance Eye Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sanghoon Lee
- Department of Materials Science & Engineering, Yonsei University, Seoul, Republic of Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea
- Graduate Program of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, Republic of Korea
| | - Han Jeong
- Institute of Vision Research, Department of Ophthalmology, Severance Eye Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
- Brain Korea 21 Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Haisu Kang
- School of Chemical Engineering, Pusan National University, Busan, Republic of Korea
| | - Hunkyu Seo
- Department of Materials Science & Engineering, Yonsei University, Seoul, Republic of Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea
- Graduate Program of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, Republic of Korea
| | - Sumin Kim
- Department of Materials Science & Engineering, Yonsei University, Seoul, Republic of Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea
- Graduate Program of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, Republic of Korea
| | - Enji Kim
- Department of Materials Science & Engineering, Yonsei University, Seoul, Republic of Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea
- Graduate Program of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, Republic of Korea
| | - Junwon Lee
- Institute of Vision Research, Department of Ophthalmology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Seung Geol Lee
- School of Chemical Engineering, Pusan National University, Busan, Republic of Korea.
- Department of Organic Material Science and Engineering, Pusan National University, Busan, Republic of Korea.
| | - Suk Ho Byeon
- Institute of Vision Research, Department of Ophthalmology, Severance Eye Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
- Brain Korea 21 Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea.
| | - Jang-Ung Park
- Department of Materials Science & Engineering, Yonsei University, Seoul, Republic of Korea.
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea.
- Graduate Program of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, Republic of Korea.
- Department of Neurosurgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
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Abu Shihada J, Jung M, Decke S, Koschinski L, Musall S, Rincón Montes V, Offenhäusser A. Highly Customizable 3D Microelectrode Arrays for In Vitro and In Vivo Neuronal Tissue Recordings. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2305944. [PMID: 38240370 PMCID: PMC10987114 DOI: 10.1002/advs.202305944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 12/05/2023] [Indexed: 02/16/2024]
Abstract
Planar microelectrode arrays (MEAs) for - in vitro or in vivo - neuronal signal recordings lack the spatial resolution and sufficient signal-to-noise ratio (SNR) required for a detailed understanding of neural network function and synaptic plasticity. To overcome these limitations, a highly customizable three-dimensional (3D) printing process is used in combination with thin film technology and a self-aligned template-assisted electrochemical deposition process to fabricate 3D-printed-based MEAs on stiff or flexible substrates. Devices with design flexibility and physical robustness are shown for recording neural activity in different in vitro and in vivo applications, achieving high-aspect ratio 3D microelectrodes of up to 33:1. Here, MEAs successfully record neural activity in 3D neuronal cultures, retinal explants, and the cortex of living mice, thereby demonstrating the versatility of the 3D MEA while maintaining high-quality neural recordings. Customizable 3D MEAs provide unique opportunities to study neural activity under regular or various pathological conditions, both in vitro and in vivo, and contribute to the development of drug screening and neuromodulation systems that can accurately monitor the activity of large neural networks over time.
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Affiliation(s)
- J. Abu Shihada
- Institute of Biological Information Processing (IBI‐3) – BioelectronicsForschungszentrum52428JülichGermany
- RWTH Aachen University52062AachenGermany
| | - M. Jung
- Institute of Biological Information Processing (IBI‐3) – BioelectronicsForschungszentrum52428JülichGermany
- RWTH Aachen University52062AachenGermany
| | - S. Decke
- Institute of Biological Information Processing (IBI‐3) – BioelectronicsForschungszentrum52428JülichGermany
| | - L. Koschinski
- Institute of Biological Information Processing (IBI‐3) – BioelectronicsForschungszentrum52428JülichGermany
- RWTH Aachen University52062AachenGermany
- Helmholtz Nano Facility (HNF)Forschungszentrum Jülich52428JülichGermany
| | - S. Musall
- Institute of Biological Information Processing (IBI‐3) – BioelectronicsForschungszentrum52428JülichGermany
- RWTH Aachen University52062AachenGermany
- Faculty of MedicineInstitute of Experimental Epileptology and Cognition ResearchUniversity of Bonn53127BonnGermany
- University Hospital Bonn53127BonnGermany
| | - V. Rincón Montes
- Institute of Biological Information Processing (IBI‐3) – BioelectronicsForschungszentrum52428JülichGermany
| | - A. Offenhäusser
- Institute of Biological Information Processing (IBI‐3) – BioelectronicsForschungszentrum52428JülichGermany
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10
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Mateus JC, Sousa MM, Burrone J, Aguiar P. Beyond a Transmission Cable-New Technologies to Reveal the Richness in Axonal Electrophysiology. J Neurosci 2024; 44:e1446232023. [PMID: 38479812 PMCID: PMC10941245 DOI: 10.1523/jneurosci.1446-23.2023] [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: 08/07/2023] [Revised: 12/13/2023] [Accepted: 12/14/2023] [Indexed: 03/17/2024] Open
Abstract
The axon is a neuronal structure capable of processing, encoding, and transmitting information. This assessment contrasts with a limiting, but deeply rooted, perspective where the axon functions solely as a transmission cable of somatodendritic activity, sending signals in the form of stereotypical action potentials. This perspective arose, at least partially, because of the technical difficulties in probing axons: their extreme length-to-diameter ratio and intricate growth paths preclude the study of their dynamics through traditional techniques. Recent findings are challenging this view and revealing a much larger repertoire of axonal computations. Axons display complex signaling processes and structure-function relationships, which can be modulated via diverse activity-dependent mechanisms. Additionally, axons can exhibit patterns of activity that are dramatically different from those of their corresponding soma. Not surprisingly, many of these recent discoveries have been driven by novel technology developments, which allow for in vitro axon electrophysiology with unprecedented spatiotemporal resolution and signal-to-noise ratio. In this review, we outline the state-of-the-art in vitro toolset for axonal electrophysiology and summarize the recent discoveries in axon function it has enabled. We also review the increasing repertoire of microtechnologies for controlling axon guidance which, in combination with the available cutting-edge electrophysiology and imaging approaches, have the potential for more controlled and high-throughput in vitro studies. We anticipate that a larger adoption of these new technologies by the neuroscience community will drive a new era of experimental opportunities in the study of axon physiology and consequently, neuronal function.
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Affiliation(s)
- J C Mateus
- i3S- Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal
| | - M M Sousa
- i3S- Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal
| | - J Burrone
- MRC Centre for Neurodevelopmental Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE1 1UL, United Kingdom
- Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE1 1UL, United Kingdom
| | - P Aguiar
- i3S- Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal
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11
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Rodilla BL, Arché-Núñez A, Ruiz-Gómez S, Domínguez-Bajo A, Fernández-González C, Guillén-Colomer C, González-Mayorga A, Rodríguez-Díez N, Camarero J, Miranda R, López-Dolado E, Ocón P, Serrano MC, Pérez L, González MT. Flexible metallic core-shell nanostructured electrodes for neural interfacing. Sci Rep 2024; 14:3729. [PMID: 38355737 PMCID: PMC10866994 DOI: 10.1038/s41598-024-53719-4] [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: 10/09/2023] [Accepted: 02/04/2024] [Indexed: 02/16/2024] Open
Abstract
Electrodes with nanostructured surface have emerged as promising low-impedance neural interfaces that can avoid the charge-injection restrictions typically associated to microelectrodes. In this work, we propose a novel approximation, based on a two-step template assisted electrodeposition technique, to obtain flexible nanostructured electrodes coated with core-shell Ni-Au vertical nanowires. These nanowires benefit from biocompatibility of the Au shell exposed to the environment and the mechanical properties of Ni that allow for nanowires longer and more homogeneous in length than their only-Au counterparts. The nanostructured electrodes show impedance values, measured by electrochemical impedance spectroscopy (EIS), at least 9 times lower than those of flat reference electrodes. This ratio is in good accordance with the increased effective surface area determined both from SEM images and cyclic voltammetry measurements, evidencing that only Au is exposed to the medium. The observed EIS profile evolution of Ni-Au electrodes over 7 days were very close to those of Au electrodes and differently from Ni ones. Finally, the morphology, viability and neuronal differentiation of rat embryonic cortical cells cultured on Ni-Au NW electrodes were found to be similar to those on control (glass) substrates and Au NW electrodes, accompanied by a lower glial cell differentiation. This positive in-vitro neural cell behavior encourages further investigation to explore the tissue responses that the implantation of these nanostructured electrodes might elicit in healthy (damaged) neural tissues in vivo, with special emphasis on eventual tissue encapsulation.
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Affiliation(s)
- Beatriz L Rodilla
- Fundación IMDEA Nanociencia, Calle Faraday 9, 28049, Madrid, Spain
- Departamento de Física de Materiales, Universidad Complutense de Madrid, Plaza de las Ciencias S/N, 28040, Madrid, Spain
| | - Ana Arché-Núñez
- Fundación IMDEA Nanociencia, Calle Faraday 9, 28049, Madrid, Spain
| | - Sandra Ruiz-Gómez
- Max Planck Institute for Chemical Physics of Solids, Dresden, Germany
| | - Ana Domínguez-Bajo
- Instituto de Ciencia de Materiales de Madrid (ICMM), CSIC, Calle Sor Juana Inés de la Cruz 3, 28049, Madrid, Spain
- Animal Molecular and Cellular Biology group (AMCB), Louvain Institute of Biomolecular Science and Technology (LIBST), Université catholique de Louvain, Place Croix du Sud 5, 1348 , Louvain la Neuve, Belgium
| | | | | | | | | | - Julio Camarero
- Fundación IMDEA Nanociencia, Calle Faraday 9, 28049, Madrid, Spain
- Department de Física de la Materia Condensada and Instituto "Nicolás Cabrera", Universidad Autónoma de Madrid, 28049, Madrid, Spain
| | - Rodolfo Miranda
- Fundación IMDEA Nanociencia, Calle Faraday 9, 28049, Madrid, Spain
- Department de Física de la Materia Condensada and Instituto "Nicolás Cabrera", Universidad Autónoma de Madrid, 28049, Madrid, Spain
| | - Elisa López-Dolado
- Hospital Nacional de Parapléjicos, SESCAM, Finca la Peraleda S/N, 45071, Toledo, Spain
- Design and development of Biomaterials for Neural Regeneration, HNP-SESCAM, Associated Unit With CSIC Through ICMM, Finca La Peraleda S/N, 45071, Toledo, Spain
| | - Pilar Ocón
- Departamento de Química Física Aplicada, Universidad Autónoma de Madrid, 28049, Madrid, Spain
| | - María C Serrano
- Instituto de Ciencia de Materiales de Madrid (ICMM), CSIC, Calle Sor Juana Inés de la Cruz 3, 28049, Madrid, Spain
| | - Lucas Pérez
- Fundación IMDEA Nanociencia, Calle Faraday 9, 28049, Madrid, Spain
- Departamento de Física de Materiales, Universidad Complutense de Madrid, Plaza de las Ciencias S/N, 28040, Madrid, Spain
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12
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Bartlett M, He M, Ranke D, Wang Y, Cohen-Karni T. A snapshot review on materials enabled multimodal bioelectronics for neurological and cardiac research. MRS ADVANCES 2023; 8:1047-1060. [PMID: 38283671 PMCID: PMC10812139 DOI: 10.1557/s43580-023-00645-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 09/08/2023] [Indexed: 01/30/2024]
Abstract
Seamless integration of the body and electronics toward the understanding, quantification, and control of disease states remains one of the grand scientific challenges of this era. As such, research efforts have been dedicated to developing bioelectronic devices for chemical, mechanical, and electrical sensing, and cellular and tissue functionality modulation. The technologies developed to achieve these capabilities cross a wide range of materials and scale (and dimensionality), e.g., from micrometer to centimeters (from 2-dimensional (2D) to 3-dimensional (3D) assemblies). The integration into multimodal systems which allow greater insight and control into intrinsically multifaceted biological systems requires careful design and selection. This snapshot review will highlight the state-of-the-art in cellular recording and modulation as well as the material considerations for the design and manufacturing of devices integrating their capabilities.
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Affiliation(s)
- Mabel Bartlett
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Mengdi He
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Daniel Ranke
- Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Yingqiao Wang
- Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Tzahi Cohen-Karni
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
- Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
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13
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Seo H, Chung WG, Kwon YW, Kim S, Hong YM, Park W, Kim E, Lee J, Lee S, Kim M, Lim K, Jeong I, Song H, Park JU. Smart Contact Lenses as Wearable Ophthalmic Devices for Disease Monitoring and Health Management. Chem Rev 2023; 123:11488-11558. [PMID: 37748126 PMCID: PMC10571045 DOI: 10.1021/acs.chemrev.3c00290] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Indexed: 09/27/2023]
Abstract
The eye contains a complex network of physiological information and biomarkers for monitoring disease and managing health, and ocular devices can be used to effectively perform point-of-care diagnosis and disease management. This comprehensive review describes the target biomarkers and various diseases, including ophthalmic diseases, metabolic diseases, and neurological diseases, based on the physiological and anatomical background of the eye. This review also includes the recent technologies utilized in eye-wearable medical devices and the latest trends in wearable ophthalmic devices, specifically smart contact lenses for the purpose of disease management. After introducing other ocular devices such as the retinal prosthesis, we further discuss the current challenges and potential possibilities of smart contact lenses.
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Affiliation(s)
- Hunkyu Seo
- Department
of Materials Science and Engineering, Yonsei
University, Seoul 03722, Republic
of Korea
| | - Won Gi Chung
- Department
of Materials Science and Engineering, Yonsei
University, Seoul 03722, Republic
of Korea
| | - Yong Won Kwon
- Department
of Materials Science and Engineering, Yonsei
University, Seoul 03722, Republic
of Korea
| | - Sumin Kim
- Department
of Materials Science and Engineering, Yonsei
University, Seoul 03722, Republic
of Korea
| | - Yeon-Mi Hong
- Department
of Materials Science and Engineering, Yonsei
University, Seoul 03722, Republic
of Korea
| | - Wonjung Park
- Department
of Materials Science and Engineering, Yonsei
University, Seoul 03722, Republic
of Korea
| | - Enji Kim
- Department
of Materials Science and Engineering, Yonsei
University, Seoul 03722, Republic
of Korea
| | - Jakyoung Lee
- Department
of Materials Science and Engineering, Yonsei
University, Seoul 03722, Republic
of Korea
| | - Sanghoon Lee
- Department
of Materials Science and Engineering, Yonsei
University, Seoul 03722, Republic
of Korea
| | - Moohyun Kim
- Department
of Materials Science and Engineering, Yonsei
University, Seoul 03722, Republic
of Korea
| | - Kyeonghee Lim
- Department
of Materials Science and Engineering, Yonsei
University, Seoul 03722, Republic
of Korea
| | - Inhea Jeong
- Department
of Materials Science and Engineering, Yonsei
University, Seoul 03722, Republic
of Korea
| | - Hayoung Song
- Department
of Materials Science and Engineering, Yonsei
University, Seoul 03722, Republic
of Korea
| | - Jang-Ung Park
- Department
of Materials Science and Engineering, Yonsei
University, Seoul 03722, Republic
of Korea
- Department
of Neurosurgery, Yonsei University College
of Medicine, Seoul 03722, Republic of Korea
- Center
for Nanomedicine, Institute for Basic Science (IBS), Yonsei University, Seoul 03722, Republic
of Korea
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14
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Xu S, Liu Y, Yang Y, Zhang K, Liang W, Xu Z, Wu Y, Luo J, Zhuang C, Cai X. Recent Progress and Perspectives on Neural Chip Platforms Integrating PDMS-Based Microfluidic Devices and Microelectrode Arrays. MICROMACHINES 2023; 14:709. [PMID: 37420942 PMCID: PMC10145465 DOI: 10.3390/mi14040709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 03/17/2023] [Accepted: 03/19/2023] [Indexed: 07/09/2023]
Abstract
Recent years have witnessed a spurt of progress in the application of the encoding and decoding of neural activities to drug screening, diseases diagnosis, and brain-computer interactions. To overcome the constraints of the complexity of the brain and the ethical considerations of in vivo research, neural chip platforms integrating microfluidic devices and microelectrode arrays have been raised, which can not only customize growth paths for neurons in vitro but also monitor and modulate the specialized neural networks grown on chips. Therefore, this article reviews the developmental history of chip platforms integrating microfluidic devices and microelectrode arrays. First, we review the design and application of advanced microelectrode arrays and microfluidic devices. After, we introduce the fabrication process of neural chip platforms. Finally, we highlight the recent progress on this type of chip platform as a research tool in the field of brain science and neuroscience, focusing on neuropharmacology, neurological diseases, and simplified brain models. This is a detailed and comprehensive review of neural chip platforms. This work aims to fulfill the following three goals: (1) summarize the latest design patterns and fabrication schemes of such platforms, providing a reference for the development of other new platforms; (2) generalize several important applications of chip platforms in the field of neurology, which will attract the attention of scientists in the field; and (3) propose the developmental direction of neural chip platforms integrating microfluidic devices and microelectrode arrays.
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Affiliation(s)
- Shihong Xu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yaoyao Liu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yan Yang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Kui Zhang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wei Liang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhaojie Xu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yirong Wu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jinping Luo
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chengyu Zhuang
- Department of Orthopaedics, Rujing Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Xinxia Cai
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
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15
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Ahnood A, Chambers A, Gelmi A, Yong KT, Kavehei O. Semiconducting electrodes for neural interfacing: a review. Chem Soc Rev 2023; 52:1491-1518. [PMID: 36734845 DOI: 10.1039/d2cs00830k] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
In the past 50 years, the advent of electronic technology to directly interface with neural tissue has transformed the fields of medicine and biology. Devices that restore or even replace impaired bodily functions, such as deep brain stimulators and cochlear implants, have ushered in a new treatment era for previously intractable conditions. Meanwhile, electrodes for recording and stimulating neural activity have allowed researchers to unravel the vast complexities of the human nervous system. Recent advances in semiconducting materials have allowed effective interfaces between electrodes and neuronal tissue through novel devices and structures. Often these are unattainable using conventional metallic electrodes. These have translated into advances in research and treatment. The development of semiconducting materials opens new avenues in neural interfacing. This review considers this emerging class of electrodes and how it can facilitate electrical, optical, and chemical sensing and modulation with high spatial and temporal precision. Semiconducting electrodes have advanced electrically based neural interfacing technologies owing to their unique electrochemical and photo-electrochemical attributes. Key operation modalities, namely sensing and stimulation in electrical, biochemical, and optical domains, are discussed, highlighting their contrast to metallic electrodes from the application and characterization perspective.
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Affiliation(s)
- Arman Ahnood
- School of Engineering, RMIT University, VIC 3000, Australia
| | - Andre Chambers
- School of Physics, University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Amy Gelmi
- School of Science, RMIT University, VIC 3000, Australia
| | - Ken-Tye Yong
- School of Biomedical Engineering, University of Sydney, Sydney, NSW 2006, Australia.,The University of Sydney Nano Institute, Sydney, NSW 2006, Australia.
| | - Omid Kavehei
- School of Biomedical Engineering, University of Sydney, Sydney, NSW 2006, Australia.,The University of Sydney Nano Institute, Sydney, NSW 2006, Australia.
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16
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Cortelli G, Grob L, Patruno L, Cramer T, Mayer D, Fraboni B, Wolfrum B, de Miranda S. Determination of Stiffness and the Elastic Modulus of 3D-Printed Micropillars with Atomic Force Microscopy-Force Spectroscopy. ACS APPLIED MATERIALS & INTERFACES 2023; 15:7602-7609. [PMID: 36706051 PMCID: PMC9923676 DOI: 10.1021/acsami.2c21921] [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: 12/05/2022] [Accepted: 01/17/2023] [Indexed: 06/18/2023]
Abstract
Nowadays, many applications in diverse fields are taking advantage of micropillars such as optics, tribology, biology, and biomedical engineering. Among them, one of the most attractive is three-dimensional microelectrode arrays for in vivo and in vitro studies, such as cellular recording, biosensors, and drug delivery. Depending on the application, the micropillar's optimal mechanical response ranges from soft to stiff. For long-term implantable devices, a mechanical mismatch between the micropillars and the biological tissue must be avoided. For drug delivery patches, micropillars must penetrate the skin without breaking or bending. The accurate mechanical characterization of the micropillar is pivotal in the fabrication and optimization of such devices, as it determines whether the device will fail or not. In this work, we demonstrate an experimental method based only on atomic force microscopy-force spectroscopy that allows us to measure the stiffness of a micropillar and the elastic modulus of its constituent material. We test our method with four different types of 3D inkjet-printed micropillars: silver micropillars sintered at 100 and 150 °C and polyacrylate microstructures with and without a metallic coating. The estimated elastic moduli are found to be comparable with the corresponding bulk values. Furthermore, our findings show that neither the sintering temperature nor the presence of a thin metal coating plays a major role in defining the mechanical properties of the micropillar.
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Affiliation(s)
- Giorgio Cortelli
- Department
of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy
| | - Leroy Grob
- Neuroelectronics,
Munich Institute of Biomedical Engineering, Department of Electrical
Engineering, Technical University of Munich, 85748 Garching, Germany
| | - Luca Patruno
- Department
of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy
| | - Tobias Cramer
- Department
of Physics and Astronomy, University of
Bologna, Viale Berti
Pichat 6/2, 40127 Bologna, Italy
| | - Dirk Mayer
- Institute
of Biological Information Processing (IBI-3), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
| | - Beatrice Fraboni
- Department
of Physics and Astronomy, University of
Bologna, Viale Berti
Pichat 6/2, 40127 Bologna, Italy
| | - Bernhard Wolfrum
- Neuroelectronics,
Munich Institute of Biomedical Engineering, Department of Electrical
Engineering, Technical University of Munich, 85748 Garching, Germany
| | - Stefano de Miranda
- Department
of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy
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17
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Stuart T, Jeang WJ, Slivicki RA, Brown BJ, Burton A, Brings VE, Alarcón-Segovia LC, Agyare P, Ruiz S, Tyree A, Pruitt L, Madhvapathy S, Niemiec M, Zhuang J, Krishnan S, Copits BA, Rogers JA, Gereau RW, Samineni VK, Bandodkar AJ, Gutruf P. Wireless, Battery-Free Implants for Electrochemical Catecholamine Sensing and Optogenetic Stimulation. ACS NANO 2023; 17:561-574. [PMID: 36548126 DOI: 10.1021/acsnano.2c09475] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Neurotransmitters and neuromodulators mediate communication between neurons and other cell types; knowledge of release dynamics is critical to understanding their physiological role in normal and pathological brain function. Investigation into transient neurotransmitter dynamics has largely been hindered due to electrical and material requirements for electrochemical stimulation and recording. Current systems require complex electronics for biasing and amplification and rely on materials that offer limited sensor selectivity and sensitivity. These restrictions result in bulky, tethered, or battery-powered systems impacting behavior and that require constant care of subjects. To overcome these challenges, we demonstrate a fully implantable, wireless, and battery-free platform that enables optogenetic stimulation and electrochemical recording of catecholamine dynamics in real time. The device is nearly 1/10th the size of previously reported examples and includes a probe that relies on a multilayer electrode architecture featuring a microscale light emitting diode (μ-LED) and a carbon nanotube (CNT)-based sensor with sensitivities among the highest recorded in the literature (1264.1 nA μM-1 cm-2). High sensitivity of the probe combined with a center tapped antenna design enables the realization of miniaturized, low power circuits suitable for subdermal implantation even in small animal models such as mice. A series of in vitro and in vivo experiments highlight the sensitivity and selectivity of the platform and demonstrate its capabilities in freely moving, untethered subjects. Specifically, a demonstration of changes in dopamine concentration after optogenetic stimulation of the nucleus accumbens and real-time readout of dopamine levels after opioid and naloxone exposure in freely behaving subjects highlight the experimental paradigms enabled by the platform.
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Affiliation(s)
- Tucker Stuart
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85721, United States
| | - William J Jeang
- Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60201, United States
| | - Richard A Slivicki
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri 63110, United States
- Washington University Pain Center, Washington University School of Medicine, St. Louis, Missouri 63110, United States
| | - Bobbie J Brown
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri 63110, United States
- Washington University Pain Center, Washington University School of Medicine, St. Louis, Missouri 63110, United States
| | - Alex Burton
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85721, United States
| | - Victoria E Brings
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri 63110, United States
- Washington University Pain Center, Washington University School of Medicine, St. Louis, Missouri 63110, United States
| | - Lilian C Alarcón-Segovia
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60201, United States
| | - Prophecy Agyare
- Department of Neuroscience, Northwestern University, Evanston, Illinois 60201, United States
| | - Savanna Ruiz
- Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60201, United States
| | - Amanda Tyree
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85721, United States
| | - Lindsay Pruitt
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85721, United States
| | - Surabhi Madhvapathy
- Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60201, United States
| | - Martin Niemiec
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85721, United States
| | - James Zhuang
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85721, United States
| | - Siddharth Krishnan
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60201, United States
| | - Bryan A Copits
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri 63110, United States
- Washington University Pain Center, Washington University School of Medicine, St. Louis, Missouri 63110, United States
| | - John A Rogers
- Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60201, United States
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60201, United States
- Department of Mechanical Engineering, Northwestern University, Evanston, Illinois 60201, United States
- Department of Biomedical Engineering, Northwestern University, Evanston, Illinois 60201, United States
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Evanston, Illinois 60201, United States
- Department of Neurological Surgery, Northwestern University, Evanston, Illinois 60208, United States
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, Illinois 60208, United States
| | - Robert W Gereau
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri 63110, United States
- Washington University Pain Center, Washington University School of Medicine, St. Louis, Missouri 63110, United States
- Department of Neuroscience, Washington University, St. Louis, Missouri 63110, United States
- Department of Biomedical Engineering, Washington University, St. Louis, Missouri 63110, United States
| | - Vijay K Samineni
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri 63110, United States
- Washington University Pain Center, Washington University School of Medicine, St. Louis, Missouri 63110, United States
| | - Amay J Bandodkar
- Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States
- Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST), North Carolina State University, Raleigh, North Carolina 27606, United States
| | - Philipp Gutruf
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85721, United States
- Department of Electrical and Computer Engineering, University of Arizona, Tucson, Arizona 85721, United States
- Bio5 Institute, University of Arizona, Tucson, Arizona 85721, United States
- Neuroscience GIDP, University of Arizona, Tucson, Arizona 85721, United States
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18
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Shen C, Zhang ZJ, Li XX, Huang YP, Wang YX, Zhou H, Xiong L, Wen Y, Zou H, Liu ZT. Intersection of nanomaterials and organoids technology in biomedicine. Front Immunol 2023; 14:1172262. [PMID: 37187755 PMCID: PMC10175666 DOI: 10.3389/fimmu.2023.1172262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 04/17/2023] [Indexed: 05/17/2023] Open
Abstract
Organoids are stem cell-derived, self-organizing, 3D structures. Compared to the conventional 2D cell culture method, 3D cultured organoids contain a variety of cell types that can form functional "micro-organs" and can be used to simulate the occurrence process and physiological pathological state of organ tissues more effectively. Nanomaterials (NMs) are becoming indispensable in the development of novel organoids. Understanding the application of nanomaterials in organoid construction can, therefore, provide researchers with ideas for the development of novel organoids. Here, we discuss the application status of NMs in various organoid culture systems and the research direction of NMs combined with organoids in the biomedical field.
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Affiliation(s)
- Chen Shen
- Department of General Surgery, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zi-jian Zhang
- Department of General Surgery, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xiao-xue Li
- Department of Obstetrics and Gynecology, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yun-peng Huang
- Department of General Surgery, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yong-xiang Wang
- Department of General Surgery, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Hui Zhou
- Department of General Surgery, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Li Xiong
- Department of General Surgery, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yu Wen
- Department of General Surgery, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Heng Zou
- Department of General Surgery, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- *Correspondence: Heng Zou, ; Zhong-tao Liu,
| | - Zhong-tao Liu
- Department of General Surgery, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- *Correspondence: Heng Zou, ; Zhong-tao Liu,
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19
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Steins H, Mierzejewski M, Brauns L, Stumpf A, Kohler A, Heusel G, Corna A, Herrmann T, Jones PD, Zeck G, von Metzen R, Stieglitz T. A flexible protruding microelectrode array for neural interfacing in bioelectronic medicine. MICROSYSTEMS & NANOENGINEERING 2022; 8:131. [PMID: 36568135 PMCID: PMC9772315 DOI: 10.1038/s41378-022-00466-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 06/23/2022] [Accepted: 07/07/2022] [Indexed: 05/31/2023]
Abstract
Recording neural signals from delicate autonomic nerves is a challenging task that requires the development of a low-invasive neural interface with highly selective, micrometer-sized electrodes. This paper reports on the development of a three-dimensional (3D) protruding thin-film microelectrode array (MEA), which is intended to be used for recording low-amplitude neural signals from pelvic nervous structures by penetrating the nerves transversely to reduce the distance to the axons. Cylindrical gold pillars (Ø 20 or 50 µm, ~60 µm height) were fabricated on a micromachined polyimide substrate in an electroplating process. Their sidewalls were insulated with parylene C, and their tips were optionally modified by wet etching and/or the application of a titanium nitride (TiN) coating. The microelectrodes modified by these combined techniques exhibited low impedances (~7 kΩ at 1 kHz for Ø 50 µm microelectrode with the exposed surface area of ~5000 µm²) and low intrinsic noise levels. Their functionalities were evaluated in an ex vivo pilot study with mouse retinae, in which spontaneous neuronal spikes were recorded with amplitudes of up to 66 µV. This novel process strategy for fabricating flexible, 3D neural interfaces with low-impedance microelectrodes has the potential to selectively record neural signals from not only delicate structures such as retinal cells but also autonomic nerves with improved signal quality to study neural circuits and develop stimulation strategies in bioelectronic medicine, e.g., for the control of vital digestive functions.
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Affiliation(s)
- Helen Steins
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
- Laboratory for Biomedical Microtechnology, Department of Microsystems Engineering, University of Freiburg, Freiburg, Germany
| | - Michael Mierzejewski
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Lisa Brauns
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Angelika Stumpf
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Alina Kohler
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Gerhard Heusel
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Andrea Corna
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
- Institute of Biomedical Electronics, TU Wien, Vienna, Austria
| | - Thoralf Herrmann
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Peter D. Jones
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Günther Zeck
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
- Institute of Biomedical Electronics, TU Wien, Vienna, Austria
| | - Rene von Metzen
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Thomas Stieglitz
- Laboratory for Biomedical Microtechnology, Department of Microsystems Engineering, University of Freiburg, Freiburg, Germany
- Bernstein Center Freiburg, University of Freiburg, Freiburg, Germany
- BrainLinks-BrainTools, University of Freiburg, Freiburg, Germany
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20
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Chung WG, Kim E, Song H, Lee J, Lee S, Lim K, Jeong I, Park JU. Recent Advances in Electrophysiological Recording Platforms for Brain and Heart Organoids. ADVANCED NANOBIOMED RESEARCH 2022. [DOI: 10.1002/anbr.202200081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Affiliation(s)
- Won Gi Chung
- Department of Materials Science and Engineering Yonsei University Seoul 03722 Republic of Korea
- Center for Nanomedicine Institute for Basic Science (IBS) Yonsei University Seoul 03722 Republic of Korea
| | - Enji Kim
- Department of Materials Science and Engineering Yonsei University Seoul 03722 Republic of Korea
- Center for Nanomedicine Institute for Basic Science (IBS) Yonsei University Seoul 03722 Republic of Korea
| | - Hayoung Song
- Department of Materials Science and Engineering Yonsei University Seoul 03722 Republic of Korea
- Center for Nanomedicine Institute for Basic Science (IBS) Yonsei University Seoul 03722 Republic of Korea
| | - Jakyoung Lee
- Department of Materials Science and Engineering Yonsei University Seoul 03722 Republic of Korea
- Center for Nanomedicine Institute for Basic Science (IBS) Yonsei University Seoul 03722 Republic of Korea
| | - Sanghoon Lee
- Department of Materials Science and Engineering Yonsei University Seoul 03722 Republic of Korea
- Center for Nanomedicine Institute for Basic Science (IBS) Yonsei University Seoul 03722 Republic of Korea
| | - Kyeonghee Lim
- Department of Materials Science and Engineering Yonsei University Seoul 03722 Republic of Korea
- Center for Nanomedicine Institute for Basic Science (IBS) Yonsei University Seoul 03722 Republic of Korea
| | - Inhea Jeong
- Department of Materials Science and Engineering Yonsei University Seoul 03722 Republic of Korea
- Center for Nanomedicine Institute for Basic Science (IBS) Yonsei University Seoul 03722 Republic of Korea
| | - Jang-Ung Park
- Department of Materials Science and Engineering Yonsei University Seoul 03722 Republic of Korea
- Center for Nanomedicine Institute for Basic Science (IBS) Yonsei University Seoul 03722 Republic of Korea
- KIURI Institute Yonsei University Seoul 03722 Republic of Korea
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21
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Chen X, Wan H, Guo R, Wang X, Wang Y, Jiao C, Sun K, Hu L. A double-layered liquid metal-based electrochemical sensing system on fabric as a wearable detector for glucose in sweat. MICROSYSTEMS & NANOENGINEERING 2022; 8:48. [PMID: 35542049 PMCID: PMC9079077 DOI: 10.1038/s41378-022-00365-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 11/20/2021] [Accepted: 01/21/2022] [Indexed: 05/25/2023]
Abstract
Integrated electrochemical sensing platforms in wearable devices have great prospects in biomedical applications. However, traditional electrochemical platforms are generally fabricated on airtight printed circuit boards, which lack sufficient flexibility, air permeability, and conformability. Liquid metals at room temperature with excellent mobility and electrical conductivity show high promise in flexible electronics. This paper presents a miniaturized liquid metal-based flexible electrochemical detection system on fabric, which is intrinsically flexible, air-permeable, and conformable to the body. Taking advantage of the excellent fluidity and electrical connectivity of liquid metal, a double-layer circuit is fabricated that significantly miniaturizes the size of the whole system. The linear response, time stability, and repeatability of this system are verified by resistance, stability, image characterization, and potassium ferricyanide tests. Finally, glucose in sweat can be detected at the millimolar level using this sensing system, which demonstrates its great potential for wearable and portable detection in biomedical fields, such as health monitoring and point-of-care testing.
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Affiliation(s)
- Xuanqi Chen
- School of Biological Science and Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100191 China
| | - Hao Wan
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027 China
| | - Rui Guo
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Xinpeng Wang
- School of Biological Science and Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100191 China
| | - Yang Wang
- School of Biological Science and Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100191 China
| | - Caicai Jiao
- School of Biological Science and Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100191 China
| | - Kang Sun
- School of Biological Science and Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100191 China
| | - Liang Hu
- School of Biological Science and Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100191 China
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22
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Liang Q, Xia X, Sun X, Yu D, Huang X, Han G, Mugo SM, Chen W, Zhang Q. Highly Stretchable Hydrogels as Wearable and Implantable Sensors for Recording Physiological and Brain Neural Signals. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2201059. [PMID: 35362243 PMCID: PMC9165511 DOI: 10.1002/advs.202201059] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Indexed: 06/01/2023]
Abstract
Recording electrophysiological information such as brain neural signals is of great importance in health monitoring and disease diagnosis. However, foreign body response and performance loss over time are major challenges stemming from the chemomechanical mismatch between sensors and tissues. Herein, microgels are utilized as large crosslinking centers in hydrogel networks to modulate the tradeoff between modulus and fatigue resistance/stretchability for producing hydrogels that closely match chemomechanical properties of neural tissues. The hydrogels exhibit notably different characteristics compared to nanoparticles reinforced hydrogels. The hydrogels exhibit relatively low modulus, good stretchability, and outstanding fatigue resistance. It is demonstrated that the hydrogels are well suited for fashioning into wearable and implantable sensors that can obtain physiological pressure signals, record the local field potentials in rat brains, and transmit signals through the injured peripheral nerves of rats. The hydrogels exhibit good chemomechanical match to tissues, negligible foreign body response, and minimal signal attenuation over an extended time, and as such is successfully demonstrated for use as long-term implantable sensory devices. This work facilitates a deeper understanding of biohybrid interfaces, while also advancing the technical design concepts for implantable neural probes that efficiently obtain physiological information.
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Affiliation(s)
- Quanduo Liang
- State Key Laboratory of Electroanalytical ChemistryChangchun Institute of Applied ChemistryChinese Academy of SciencesChangchun130022P. R. China
- School of Applied Chemistry and EngineeringUniversity of Science and Technology of ChinaHefei230026P. R. China
| | - Xiangjiao Xia
- State Key Laboratory of Electroanalytical ChemistryChangchun Institute of Applied ChemistryChinese Academy of SciencesChangchun130022P. R. China
- School of Applied Chemistry and EngineeringUniversity of Science and Technology of ChinaHefei230026P. R. China
| | - Xiguang Sun
- Bethune First Hospital of Jilin UniversityNo. 1, Xinmin StreetChangchun130061P. R. China
- Department of Oral GeriatricsHospital of StomatologyJilin UniversityChangchun130021P. R. China
| | - Dehai Yu
- Bethune First Hospital of Jilin UniversityNo. 1, Xinmin StreetChangchun130061P. R. China
- Department of Oral GeriatricsHospital of StomatologyJilin UniversityChangchun130021P. R. China
| | - Xinrui Huang
- Bethune First Hospital of Jilin UniversityNo. 1, Xinmin StreetChangchun130061P. R. China
- Department of Oral GeriatricsHospital of StomatologyJilin UniversityChangchun130021P. R. China
| | - Guanghong Han
- Department of Oral GeriatricsHospital of StomatologyJilin UniversityChangchun130021P. R. China
| | - Samuel M. Mugo
- Department of Physical SciencesMacEwan UniversityEdmontonABT5J4S2Canada
| | - Wei Chen
- State Key Laboratory of Electroanalytical ChemistryChangchun Institute of Applied ChemistryChinese Academy of SciencesChangchun130022P. R. China
- School of Applied Chemistry and EngineeringUniversity of Science and Technology of ChinaHefei230026P. R. China
| | - Qiang Zhang
- State Key Laboratory of Electroanalytical ChemistryChangchun Institute of Applied ChemistryChinese Academy of SciencesChangchun130022P. R. China
- School of Applied Chemistry and EngineeringUniversity of Science and Technology of ChinaHefei230026P. R. China
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23
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Park Y, Yun I, Chung WG, Park W, Lee DH, Park J. High-Resolution 3D Printing for Electronics. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2104623. [PMID: 35038249 PMCID: PMC8922115 DOI: 10.1002/advs.202104623] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Revised: 12/04/2021] [Indexed: 05/17/2023]
Abstract
The ability to form arbitrary 3D structures provides the next level of complexity and a greater degree of freedom in the design of electronic devices. Since recent progress in electronics has expanded their applicability in various fields in which structural conformability and dynamic configuration are required, high-resolution 3D printing technologies can offer significant potential for freeform electronics. Here, the recent progress in novel 3D printing methods for freeform electronics is reviewed, with providing a comprehensive study on 3D-printable functional materials and processes for various device components. The latest advances in 3D-printed electronics are also reviewed to explain representative device components, including interconnects, batteries, antennas, and sensors. Furthermore, the key challenges and prospects for next-generation printed electronics are considered, and the future directions are explored based on research that has emerged recently.
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Affiliation(s)
- Young‐Geun Park
- Department of Materials Science and EngineeringYonsei UniversitySeoul03722Republic of Korea
- Center for NanomedicineInstitute for Basic Science (IBS)Seoul03722Republic of Korea
- Graduate Program of Nano Biomedical Engineering (NanoBME)Advanced Science InstituteYonsei UniversitySeoul03722Republic of Korea
| | - Insik Yun
- Department of Materials Science and EngineeringYonsei UniversitySeoul03722Republic of Korea
- Center for NanomedicineInstitute for Basic Science (IBS)Seoul03722Republic of Korea
- Graduate Program of Nano Biomedical Engineering (NanoBME)Advanced Science InstituteYonsei UniversitySeoul03722Republic of Korea
| | - Won Gi Chung
- Department of Materials Science and EngineeringYonsei UniversitySeoul03722Republic of Korea
- Center for NanomedicineInstitute for Basic Science (IBS)Seoul03722Republic of Korea
- Graduate Program of Nano Biomedical Engineering (NanoBME)Advanced Science InstituteYonsei UniversitySeoul03722Republic of Korea
| | - Wonjung Park
- Department of Materials Science and EngineeringYonsei UniversitySeoul03722Republic of Korea
- Center for NanomedicineInstitute for Basic Science (IBS)Seoul03722Republic of Korea
- Graduate Program of Nano Biomedical Engineering (NanoBME)Advanced Science InstituteYonsei UniversitySeoul03722Republic of Korea
| | - Dong Ha Lee
- Department of Materials Science and EngineeringYonsei UniversitySeoul03722Republic of Korea
- Center for NanomedicineInstitute for Basic Science (IBS)Seoul03722Republic of Korea
- Graduate Program of Nano Biomedical Engineering (NanoBME)Advanced Science InstituteYonsei UniversitySeoul03722Republic of Korea
| | - Jang‐Ung Park
- Department of Materials Science and EngineeringYonsei UniversitySeoul03722Republic of Korea
- Center for NanomedicineInstitute for Basic Science (IBS)Seoul03722Republic of Korea
- Graduate Program of Nano Biomedical Engineering (NanoBME)Advanced Science InstituteYonsei UniversitySeoul03722Republic of Korea
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24
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Miao BA, Meng L, Tian B. Biology-guided engineering of bioelectrical interfaces. NANOSCALE HORIZONS 2022; 7:94-111. [PMID: 34904138 DOI: 10.1039/d1nh00538c] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Bioelectrical interfaces that bridge biotic and abiotic systems have heightened the ability to monitor, understand, and manipulate biological systems and are catalyzing profound progress in neuroscience research, treatments for heart failure, and microbial energy systems. With advances in nanotechnology, bifunctional and high-density devices with tailored structural designs are being developed to enable multiplexed recording or stimulation across multiple spatial and temporal scales with resolution down to millisecond-nanometer interfaces, enabling efficient and effective communication with intracellular electrical activities in a relatively noninvasive and biocompatible manner. This review provides an overview of how biological systems guide the design, engineering, and implementation of bioelectrical interfaces for biomedical applications. We investigate recent advances in bioelectrical interfaces for applications in nervous, cardiac, and microbial systems, and we also discuss the outlook of state-of-the-art biology-guided bioelectrical interfaces with high biocompatibility, extended long-term stability, and integrated system functionality for potential clinical usage.
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Affiliation(s)
- Bernadette A Miao
- Department of Chemistry, The University of Chicago, Chicago, IL 60637, USA.
| | - Lingyuan Meng
- Pritzker School of Molecular Engineering, The University of Chicago, Chicago, IL 60637, USA.
| | - Bozhi Tian
- Department of Chemistry, The University of Chicago, Chicago, IL 60637, USA.
- The James Franck Institute, The University of Chicago, Chicago, IL 60637, USA
- The Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL 60637, USA
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25
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Grob L, Rinklin P, Zips S, Mayer D, Weidlich S, Terkan K, Weiß LJK, Adly N, Offenhäusser A, Wolfrum B. Inkjet-Printed and Electroplated 3D Electrodes for Recording Extracellular Signals in Cell Culture. SENSORS (BASEL, SWITZERLAND) 2021; 21:3981. [PMID: 34207725 PMCID: PMC8229631 DOI: 10.3390/s21123981] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 06/04/2021] [Accepted: 06/06/2021] [Indexed: 02/07/2023]
Abstract
Recent investigations into cardiac or nervous tissues call for systems that are able to electrically record in 3D as opposed to 2D. Typically, challenging microfabrication steps are required to produce 3D microelectrode arrays capable of recording at the desired position within the tissue of interest. As an alternative, additive manufacturing is becoming a versatile platform for rapidly prototyping novel sensors with flexible geometric design. In this work, 3D MEAs for cell-culture applications were fabricated using a piezoelectric inkjet printer. The aspect ratio and height of the printed 3D electrodes were user-defined by adjusting the number of deposited droplets of silver nanoparticle ink along with a continuous printing method and an appropriate drop-to-drop delay. The Ag 3D MEAs were later electroplated with Au and Pt in order to reduce leakage of potentially cytotoxic silver ions into the cellular medium. The functionality of the array was confirmed using impedance spectroscopy, cyclic voltammetry, and recordings of extracellular potentials from cardiomyocyte-like HL-1 cells.
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Affiliation(s)
- Leroy Grob
- Neuroelectronics, Department of Electrical and Computer Engineering, MSB, MSRM, Technical University of Munich, Boltzmannstraße 11, 85748 Garching, Germany; (L.G.); (P.R.); (S.Z.); (K.T.); (L.J.K.W.); (N.A.)
| | - Philipp Rinklin
- Neuroelectronics, Department of Electrical and Computer Engineering, MSB, MSRM, Technical University of Munich, Boltzmannstraße 11, 85748 Garching, Germany; (L.G.); (P.R.); (S.Z.); (K.T.); (L.J.K.W.); (N.A.)
| | - Sabine Zips
- Neuroelectronics, Department of Electrical and Computer Engineering, MSB, MSRM, Technical University of Munich, Boltzmannstraße 11, 85748 Garching, Germany; (L.G.); (P.R.); (S.Z.); (K.T.); (L.J.K.W.); (N.A.)
| | - Dirk Mayer
- Institute of Biological Information Processing (IBI-3), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany; (D.M.); (S.W.); (A.O.)
| | - Sabrina Weidlich
- Institute of Biological Information Processing (IBI-3), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany; (D.M.); (S.W.); (A.O.)
| | - Korkut Terkan
- Neuroelectronics, Department of Electrical and Computer Engineering, MSB, MSRM, Technical University of Munich, Boltzmannstraße 11, 85748 Garching, Germany; (L.G.); (P.R.); (S.Z.); (K.T.); (L.J.K.W.); (N.A.)
| | - Lennart J. K. Weiß
- Neuroelectronics, Department of Electrical and Computer Engineering, MSB, MSRM, Technical University of Munich, Boltzmannstraße 11, 85748 Garching, Germany; (L.G.); (P.R.); (S.Z.); (K.T.); (L.J.K.W.); (N.A.)
| | - Nouran Adly
- Neuroelectronics, Department of Electrical and Computer Engineering, MSB, MSRM, Technical University of Munich, Boltzmannstraße 11, 85748 Garching, Germany; (L.G.); (P.R.); (S.Z.); (K.T.); (L.J.K.W.); (N.A.)
| | - Andreas Offenhäusser
- Institute of Biological Information Processing (IBI-3), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany; (D.M.); (S.W.); (A.O.)
| | - Bernhard Wolfrum
- Neuroelectronics, Department of Electrical and Computer Engineering, MSB, MSRM, Technical University of Munich, Boltzmannstraße 11, 85748 Garching, Germany; (L.G.); (P.R.); (S.Z.); (K.T.); (L.J.K.W.); (N.A.)
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