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Gao H, Zhao F, Liu J, Meng Z, Han Z, Liu Y. What Exactly Can Bionic Strategies Achieve for Flexible Sensors? ACS APPLIED MATERIALS & INTERFACES 2024. [PMID: 39031068 DOI: 10.1021/acsami.4c06905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/22/2024]
Abstract
Flexible sensors have attracted great attention in the field of wearable electronic devices due to their deformability, lightness, and versatility. However, property improvement remains a key challenge. Fortunately, natural organisms exhibit many unique response mechanisms to various stimuli, and the corresponding structures and compositions provide advanced design ideas for the development of flexible sensors. Therefore, this Review highlights recent advances in sensing performance and functional characteristics of flexible sensors from the perspective of bionics for the first time. First, the "twins" of bionics and flexible sensors are introduced. Second, the enhancements in electrical and mechanical performance through bionic strategies are summarized according to the prototypes of humans, plants, and animals. Third, the functional characteristics of bionic strategies for flexible sensors are discussed in detail, including self-healing, color-changing, tangential force, strain redistribution, and interfacial resistance. Finally, we summarize the challenges and development trends of bioinspired flexible sensors. This Review aims to deepen the understanding of bionic strategies and provide innovative ideas and references for the design and manufacture of next-generation flexible sensors.
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Affiliation(s)
- Hanpeng Gao
- School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, P. R. China
| | - Fangyi Zhao
- School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, P. R. China
| | - Jiaxi Liu
- Key Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin130022, P. R. China
| | - Zong Meng
- School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, P. R. China
| | - Zhiwu Han
- Key Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin130022, P. R. China
| | - Yan Liu
- Key Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin130022, P. R. China
- Institute of Structured and Architected Materials, Liaoning Academy of Materials, Shenyang, Liaoning 110167, China
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Li J, Zhou Y, Huang X, Lai P, Huang Y. Surface-adaptive interfaces: Bioresorbable ultrasound biomedical devices for noninvasive monitoring and imaging of deep-tissue homeostasis. Innovation (N Y) 2024; 5:100651. [PMID: 38988804 PMCID: PMC11234041 DOI: 10.1016/j.xinn.2024.100651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 05/26/2024] [Indexed: 07/12/2024] Open
Affiliation(s)
- Jiyu Li
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong SAR, China
| | - Yingying Zhou
- College of Professional and Continuing Education, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Xiazi Huang
- The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 999077, China
| | - Puxiang Lai
- The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 999077, China
- Photonics Research Institute, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Yuan Huang
- Cardiac Surgery Centre, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100037, China
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Gong S, Fang F, Yi Z, Feng B, Li A, Li W, Shao L, Zhang W. An intelligent spinal soft robot with self-sensing adaptability. Innovation (N Y) 2024; 5:100640. [PMID: 38881800 PMCID: PMC11180339 DOI: 10.1016/j.xinn.2024.100640] [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: 12/13/2023] [Accepted: 05/15/2024] [Indexed: 06/18/2024] Open
Abstract
Self-sensing adaptability is a high-level intelligence in living creatures and is highly desired for their biomimetic soft robots for efficient interaction with the surroundings. Self-sensing adaptability can be achieved in soft robots by the integration of sensors and actuators. However, current strategies simply assemble discrete sensors and actuators into one robotic system and, thus, dilute their synergistic and complementary connections, causing low-level adaptability and poor decision-making capability. Here, inspired by vertebrate animals supported by highly evolved backbones, we propose a concept of a bionic spine that integrates sensing and actuation into one shared body based on the reversible piezoelectric effect and a decoupling mechanism to extract the environmental feedback. We demonstrate that the soft robots equipped with the bionic spines feature locomotion speed improvements between 39.5% and 80% for various environmental terrains. More importantly, it can also enable the robots to accurately recognize and actively adapt to changing environments with obstacle avoidance capability by learning-based gait adjustments. We envision that the proposed bionic spine could serve as a building block for locomotive soft robots toward more intelligent machine-environment interactions in the future.
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Affiliation(s)
- Shoulu Gong
- State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
- University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Fuyi Fang
- State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Zhiran Yi
- State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Bohan Feng
- University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Anyu Li
- University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Wenbo Li
- School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai 200092, China
| | - Lei Shao
- University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Wenming Zhang
- State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
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Liu Z, Zhao Y, Yin Z. Low-power soft transistors triggering revolutionary electronics. Innovation (N Y) 2024; 5:100616. [PMID: 38601793 PMCID: PMC11004197 DOI: 10.1016/j.xinn.2024.100616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 03/20/2024] [Indexed: 04/12/2024] Open
Affiliation(s)
- Ziyang Liu
- State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China
| | - Yaoshen Zhao
- State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China
| | - Zhigang Yin
- State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China
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Xue Y, Wu F, Zhao X, Ji W, Hou L, Yu P, Mao L. Highly Sensitive Near-Field Electrochemical Sensor for In Vivo Monitoring of Respiratory Patterns. ACS Sens 2024; 9:2149-2155. [PMID: 38579117 DOI: 10.1021/acssensors.4c00261] [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] [Indexed: 04/07/2024]
Abstract
Real-time tracking of respiratory patterns provides noninvasive and quick access for evaluating pathophysiological conditions yet remains challenging due to limited temporal resolution and poor sensitivity to dig out fingerprints of respiratory waveforms. Here, we report an electrochemical sensor for accurately tracing respiratory patterns of small animal models based on the electrochemical impedance mechanism for wireless coupling of a graphdiyne oxide (GYDO)-modified sensing coil chip and a reader coil chip via near-field magnetic induction. In the electrochemical impedance measurement mode, an alternating current is applied through the reader coil chip to perturb proton transport at the GYDO interface of the sensing coil chip. As demonstrated, a high-frequency perturbing condition significantly reduces the interfacial resistance for proton transport by 5 orders of magnitude under 95% relative humidity (RH) and improves the low-humidity responses with a limit of detection down to 0.2% RH, enabling in vivo accurate profiling of respiratory patterns on epileptic rats. The electrochemical impedance coupling system holds great potential for new wireless bioelectronics.
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Affiliation(s)
- Yifei Xue
- College of Chemistry, Beijing Normal University, Beijing 100875, China
| | - Fei Wu
- College of Chemistry, Beijing Normal University, Beijing 100875, China
| | - Xudong Zhao
- College of Chemistry, Beijing Normal University, Beijing 100875, China
| | - Wenliang Ji
- College of Chemistry, Beijing Normal University, Beijing 100875, China
| | - Lijuan Hou
- College of Chemistry, Beijing Normal University, Beijing 100875, China
| | - Ping Yu
- Beijing National Laboratory for Molecular Science, Key Laboratory of Analytical Chemistry for Living Biosystems Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Lanqun Mao
- College of Chemistry, Beijing Normal University, Beijing 100875, China
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Fang Z, Zhao G, Zhao S, Yu X, Feng R, Zhang YE, Li H, Huang L, Guo Z, Zhang Z, Abdurahman M, Hong H, Li P, Wu B, Zhu J, Zhong X, Huang D, Lu H, Zhao X, Chen Z, Zhang W, Guo J, Zheng H, He Y, Qin S, Lu H, Zhao Y, Wang X, Ge J, Li H. GTF2H4 regulates partial EndMT via NF-κB activation through NCOA3 phosphorylation in ischemic diseases. Innovation (N Y) 2024; 5:100565. [PMID: 38379791 PMCID: PMC10876913 DOI: 10.1016/j.xinn.2024.100565] [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: 02/19/2023] [Accepted: 01/01/2024] [Indexed: 02/22/2024] Open
Abstract
Partial endothelial-to-mesenchymal transition (EndMT) is an intermediate phenotype observed in endothelial cells (ECs) undergoing a transition toward a mesenchymal state to support neovascularization during (patho)physiological angiogenesis. Here, we investigated the occurrence of partial EndMT in ECs under hypoxic/ischemic conditions and identified general transcription factor IIH subunit 4 (GTF2H4) as a positive regulator of this process. In addition, we discovered that GTF2H4 collaborates with its target protein excision repair cross-complementation group 3 (ERCC3) to co-regulate partial EndMT. Furthermore, by using phosphorylation proteomics and site-directed mutagenesis, we demonstrated that GTF2H4 was involved in the phosphorylation of receptor coactivator 3 (NCOA3) at serine 1330, which promoted the interaction between NCOA3 and p65, resulting in the transcriptional activation of NF-κB and the NF-κB/Snail signaling axis during partial EndMT. In vivo experiments confirmed that GTF2H4 significantly promoted partial EndMT and angiogenesis after ischemic injury. Collectively, our findings reveal that targeting GTF2H4 is promising for tissue repair and offers potential opportunities for treating hypoxic/ischemic diseases.
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Affiliation(s)
- Zheyan Fang
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai 200032, China
| | - Gang Zhao
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Shuang Zhao
- Department of Medical Examination, Shanghai Xuhui District Central Hospital, Shanghai 200031, China
| | - Xueting Yu
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai 200032, China
| | - Runyang Feng
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai 200032, China
| | - You-en Zhang
- Department of Cardiology and Institute of Clinical Medicine, Renmin Hospital, Hubei University of Medicine, Shiyan 442000, China
| | - Haomin Li
- Clinical Data Center, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Lei Huang
- Department of Molecular, Cell, and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Zhenyang Guo
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai 200032, China
| | - Zhentao Zhang
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai 200032, China
| | - Mukaddas Abdurahman
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai 200032, China
| | - Hangnan Hong
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai 200032, China
| | - Peng Li
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai 200032, China
| | - Bing Wu
- Department of Cardiology and Institute of Clinical Medicine, Renmin Hospital, Hubei University of Medicine, Shiyan 442000, China
| | - Jinhang Zhu
- Bio-X Institute, Key Laboratory for The Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Xin Zhong
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Dong Huang
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Hao Lu
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Xin Zhao
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Zhaoyang Chen
- Department of Cardiology, Heart Center of Fujian Province, Fujian Medical University Union Hospital, Fuzhou 350001, China
| | - Wenbin Zhang
- Department of Cardiology, Sir Run Run Shaw Hospital, affiliated with Zhejiang University School of Medicine, Hangzhou 310020, China
| | - Junjie Guo
- Department of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao 266003, China
| | - Hongchao Zheng
- Department of Cardiology, Shanghai Xuhui District Central Hospital, Shanghai 200031, China
| | - Yue He
- Department of Cardiology, Shanghai Eighth People’s Hospital, Shanghai 200235, China
| | - Shengying Qin
- Bio-X Institute, Key Laboratory for The Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Haojie Lu
- Department of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China
| | - Yun Zhao
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China
- School of Life Science and Technology, Shanghai Tech University, 100 Haike Road, Shanghai 201210, China
- Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
| | - Xiangdong Wang
- Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Junbo Ge
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai 200032, China
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
- State Key Laboratory of Cardiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
- National Clinical Research Center for Interventional Medicine, Shanghai 200032, China
- Shanghai Clinical Research Center for Interventional Medicine, Shanghai 200032, China
- Key Laboratory of Viral Heart Diseases, National Health Commission, Shanghai 200032, China
- Key Laboratory of Viral Heart Diseases, Chinese Academy of Medical Sciences, Shanghai 200032, China
| | - Hua Li
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai 200032, China
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Zhou Y, Wang S, Yin J, Wang J, Manshaii F, Xiao X, Zhang T, Bao H, Jiang S, Chen J. Flexible Metasurfaces for Multifunctional Interfaces. ACS NANO 2024; 18:2685-2707. [PMID: 38241491 DOI: 10.1021/acsnano.3c09310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2024]
Abstract
Optical metasurfaces, capable of manipulating the properties of light with a thickness at the subwavelength scale, have been the subject of extensive investigation in recent decades. This research has been mainly driven by their potential to overcome the limitations of traditional, bulky optical devices. However, most existing optical metasurfaces are confined to planar and rigid designs, functions, and technologies, which greatly impede their evolution toward practical applications that often involve complex surfaces. The disconnect between two-dimensional (2D) planar structures and three-dimensional (3D) curved surfaces is becoming increasingly pronounced. In the past two decades, the emergence of flexible electronics has ushered in an emerging era for metasurfaces. This review delves into this cutting-edge field, with a focus on both flexible and conformal design and fabrication techniques. Initially, we reflect on the milestones and trajectories in modern research of optical metasurfaces, complemented by a brief overview of their theoretical underpinnings and primary classifications. We then showcase four advanced applications of optical metasurfaces, emphasizing their promising prospects and relevance in areas such as imaging, biosensing, cloaking, and multifunctionality. Subsequently, we explore three key trends in optical metasurfaces, including mechanically reconfigurable metasurfaces, digitally controlled metasurfaces, and conformal metasurfaces. Finally, we summarize our insights on the ongoing challenges and opportunities in this field.
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Affiliation(s)
- Yunlei Zhou
- Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China
- School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China
| | - Shaolei Wang
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Junyi Yin
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Jianjun Wang
- Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China
- School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China
| | - Farid Manshaii
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Xiao Xiao
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Tianqi Zhang
- Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China
- School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China
| | - Hong Bao
- Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China
- School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China
| | - Shan Jiang
- Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China
- School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
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