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Gutruf P. Monolithically Defined Wireless Fully Implantable Nervous System Interfaces. Acc Chem Res 2024; 57:1275-1286. [PMID: 38608256 DOI: 10.1021/acs.accounts.4c00013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/14/2024]
Abstract
ConspectusEvolution of implantable neural interfaces is critical in addressing the challenges in understanding the fundamental working principles and therapeutic applications for central and peripheral nervous systems. Traditional approaches utilizing hermetically sealed, rigid electronics and detached electrodes face challenges in power supply, encapsulation, channel count, dispersed application location, and modality. Employing thin-film, wirelessly powered devices is promising to expand capabilities. Devices that forego bulky power supplies, favoring a configuration where electronics are integrated directly onto thin films, reduce displacement volumes for seamless, fully implantable interfaces with high energy availability and soft mechanics to conform to the neuronal target. We discuss 3 device architectures: (1) Highly miniaturized devices that merge electronics and neural interfaces into a single, injectable format; (2) Interfaces that consolidate power, computation, and neural connectivity on a thin sheet applied directly to the target area; (3) A spatially dislocated approach where power and computation are situated subdermally, connected via a thin interconnect to the neural interface.Each has advantages and constraints in terms of implantation invasiveness, power capturing efficiency, and directional sensitivity of power delivery. In powering these devices, near-field power delivery emerges as the most implemented technique. Key parameters are size and volume of primary and secondary antennas, which determine coupling efficiency and power delivery. Based on application requirements, ranging from small to large animal models, subjects require system level designs. Material strategies play a crucial role; monolithic designs, with materials like polyimide substrates, enable scalability with high performance. This contrasts with established hermetic encapsulation approaches that use a stainless steel or titanium box with passthroughs that result in large tissue displacements and prohibit intimate integration with target organ systems. Encapsulation, particularly with parylene, enables longevity and effectiveness; more research is needed to enable human lifetime operation. Implant-to-ambient device communication, focusing on strategies compatible with well-established standards and off-the-shelf electronics, is discussed with the goal of enabling seamless system integration, reliability, and scalability. The interface with the central nervous system is explored through various wireless, battery-free devices capable of both stimulation (electrical and optogenetic) and recording (photometric and electrochemical). These devices show advanced capabilities for chronic studies and insights into neural dynamics. In the peripheral nervous system, stimulation devices for applications, such as spinal and muscle stimulation, are discussed. The challenges lie in the mechanical and electrochemical durability. Examples that successfully navigate these challenges offer solutions for chronic studies in this domain. The potential of wireless, fully implantable nervous system interfaces using near field resonant power transfer is characterized by monolithically defined device architecture, providing a significant leap toward seamless access to the central and peripheral nervous systems. New avenues for research and therapeutic applications supporting a multimodal and multisite approach to neuromodulation with a high degree of connectivity and a holistic approach toward deciphering and supplementing the nervous system may enable recovery and treatment of injury and chronic disease.
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Affiliation(s)
- Philipp Gutruf
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85721, United States
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Bhatia A, Hanna J, Stuart T, Kasper KA, Clausen DM, Gutruf P. Wireless Battery-free and Fully Implantable Organ Interfaces. Chem Rev 2024; 124:2205-2280. [PMID: 38382030 DOI: 10.1021/acs.chemrev.3c00425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
Abstract
Advances in soft materials, miniaturized electronics, sensors, stimulators, radios, and battery-free power supplies are resulting in a new generation of fully implantable organ interfaces that leverage volumetric reduction and soft mechanics by eliminating electrochemical power storage. This device class offers the ability to provide high-fidelity readouts of physiological processes, enables stimulation, and allows control over organs to realize new therapeutic and diagnostic paradigms. Driven by seamless integration with connected infrastructure, these devices enable personalized digital medicine. Key to advances are carefully designed material, electrophysical, electrochemical, and electromagnetic systems that form implantables with mechanical properties closely matched to the target organ to deliver functionality that supports high-fidelity sensors and stimulators. The elimination of electrochemical power supplies enables control over device operation, anywhere from acute, to lifetimes matching the target subject with physical dimensions that supports imperceptible operation. This review provides a comprehensive overview of the basic building blocks of battery-free organ interfaces and related topics such as implantation, delivery, sterilization, and user acceptance. State of the art examples categorized by organ system and an outlook of interconnection and advanced strategies for computation leveraging the consistent power influx to elevate functionality of this device class over current battery-powered strategies is highlighted.
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Affiliation(s)
- Aman Bhatia
- Department of Biomedical Engineering, The University of Arizona, Tucson, Arizona 85721, United States
| | - Jessica Hanna
- Department of Biomedical Engineering, The University of Arizona, Tucson, Arizona 85721, United States
| | - Tucker Stuart
- Department of Biomedical Engineering, The University of Arizona, Tucson, Arizona 85721, United States
| | - Kevin Albert Kasper
- Department of Biomedical Engineering, The University of Arizona, Tucson, Arizona 85721, United States
| | - David Marshall Clausen
- Department of Biomedical Engineering, The University of Arizona, Tucson, Arizona 85721, United States
| | - Philipp Gutruf
- Department of Biomedical Engineering, The University of Arizona, Tucson, Arizona 85721, United States
- Department of Electrical and Computer Engineering, The University of Arizona, Tucson, Arizona 85721, United States
- Bio5 Institute, The University of Arizona, Tucson, Arizona 85721, United States
- Neuroscience Graduate Interdisciplinary Program (GIDP), The University of Arizona, Tucson, Arizona 85721, United States
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3
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Hu C, Wang L, Liu S, Sheng X, Yin L. Recent Development of Implantable Chemical Sensors Utilizing Flexible and Biodegradable Materials for Biomedical Applications. ACS Nano 2024; 18:3969-3995. [PMID: 38271679 DOI: 10.1021/acsnano.3c11832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2024]
Abstract
Implantable chemical sensors built with flexible and biodegradable materials exhibit immense potential for seamless integration with biological systems by matching the mechanical properties of soft tissues and eliminating device retraction procedures. Compared with conventional hospital-based blood tests, implantable chemical sensors have the capability to achieve real-time monitoring with high accuracy of important biomarkers such as metabolites, neurotransmitters, and proteins, offering valuable insights for clinical applications. These innovative sensors could provide essential information for preventive diagnosis and effective intervention. To date, despite extensive research on flexible and bioresorbable materials for implantable electronics, the development of chemical sensors has faced several challenges related to materials and device design, resulting in only a limited number of successful accomplishments. This review highlights recent advancements in implantable chemical sensors based on flexible and biodegradable materials, encompassing their sensing strategies, materials strategies, and geometric configurations. The following discussions focus on demonstrated detection of various objects including ions, small molecules, and a few examples of macromolecules using flexible and/or bioresorbable implantable chemical sensors. Finally, we will present current challenges and explore potential future directions.
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Affiliation(s)
- Chen Hu
- School of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing 100084, P. R. China
| | - Liu Wang
- Key Laboratory of Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, P. R. China
| | - Shangbin Liu
- School of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing 100084, P. R. China
| | - Xing Sheng
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Laboratory of Flexible Electronics Technology, IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing 100084, P. R. China
| | - Lan Yin
- School of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing 100084, P. R. China
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4
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Xue F, Zhao S, Tian H, Qin H, Li X, Jian Z, Du J, Li Y, Wang Y, Lin L, Liu C, Shang Y, He L, Xing M, Zeng W. Two way workable microchanneled hydrogel suture to diagnose, treat and monitor the infarcted heart. Nat Commun 2024; 15:864. [PMID: 38286997 PMCID: PMC10824767 DOI: 10.1038/s41467-024-45144-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 01/15/2024] [Indexed: 01/31/2024] Open
Abstract
During myocardial infarction, microcirculation disturbance in the ischemic area can cause necrosis and formation of fibrotic tissue, potentially leading to malignant arrhythmia and myocardial remodeling. Here, we report a microchanneled hydrogel suture for two-way signal communication, pumping drugs on demand, and cardiac repair. After myocardial infarction, our hydrogel suture monitors abnormal electrocardiogram through the mobile device and triggers nitric oxide on demand via the hydrogel sutures' microchannels, thereby inhibiting inflammation, promoting microvascular remodeling, and improving the left ventricular ejection fraction in rats and minipigs by more than 60% and 50%, respectively. This work proposes a suture for bidirectional communication that acts as a cardio-patch to repair myocardial infarction, that remotely monitors the heart, and can deliver drugs on demand.
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Affiliation(s)
- Fangchao Xue
- Department of Cell Biology, Third Military Medical University, Chongqing, China
| | - Shanlan Zhao
- Department of Cell Biology, Third Military Medical University, Chongqing, China
| | - Hao Tian
- Department of Cell Biology, Third Military Medical University, Chongqing, China
| | - Haoxiang Qin
- Department of Cell Biology, Third Military Medical University, Chongqing, China
| | - Xiaochen Li
- Department of Cell Biology, Third Military Medical University, Chongqing, China
| | - Zhao Jian
- Department of Cardiovascular Surgery, Xinqiao Hospital, Third Military Medical University, Chongqing, China
| | - Jiahui Du
- Department of Cell Biology, Third Military Medical University, Chongqing, China
| | - Yanzhao Li
- Department of Anatomy, Third Military Medical University, Chongqing, China
| | - Yanhong Wang
- Department of Cell Biology, Third Military Medical University, Chongqing, China
| | - Lin Lin
- Department of Cell Biology, Third Military Medical University, Chongqing, China
| | - Chen Liu
- Department of Radiology, Southwest hospital, Third Military Medical University, Chongqing, China
| | - Yongning Shang
- Department of Ultrasound, Southwest hospital, Third Military Medical University, Chongqing, China
| | - Lang He
- Department of Cell Biology, Third Military Medical University, Chongqing, China
| | - Malcolm Xing
- Department of Mechanical Engineering University of Manitoba, Winnipeg, Canada.
| | - Wen Zeng
- Department of Cell Biology, Third Military Medical University, Chongqing, China.
- State Key Laboratory of Trauma and Chemical Poisoning, Chongqing, China.
- Jinfeng Laboratory, Chongqing, People's Republic of China.
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5
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Stuart T, Farley M, Amato J, Thien R, Hanna J, Bhatia A, Clausen DM, Gutruf P. Biosymbiotic platform for chronic long-range monitoring of biosignals in limited resource settings. Proc Natl Acad Sci U S A 2023; 120:e2307952120. [PMID: 38048458 PMCID: PMC10723125 DOI: 10.1073/pnas.2307952120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 10/26/2023] [Indexed: 12/06/2023] Open
Abstract
Remote patient monitoring is a critical component of digital medicine, and the COVID-19 pandemic has further highlighted its importance. Wearable sensors aimed at noninvasive extraction and transmission of high-fidelity physiological data provide an avenue toward at-home diagnostics and therapeutics; however, the infrastructure requirements for such devices limit their use to areas with well-established connectivity. This accentuates the socioeconomic and geopolitical gap in digital health technology and points toward a need to provide access in areas that have limited resources. Low-power wide area network (LPWAN) protocols, such as LoRa, may provide an avenue toward connectivity in these settings; however, there has been limited work on realizing wearable devices with this functionality because of power and electromagnetic constraints. In this work, we introduce wearables with electromagnetic, electronic, and mechanical features provided by a biosymbiotic platform to realize high-fidelity biosignals transmission of 15 miles without the need for satellite infrastructure. The platform implements wireless power transfer for interaction-free recharging, enabling long-term and uninterrupted use over weeks without the need for the user to interact with the devices. This work presents demonstration of a continuously wearable device with this long-range capability that has the potential to serve resource-constrained and remote areas, providing equitable access to digital health.
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Affiliation(s)
- Tucker Stuart
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ85721
| | - Max Farley
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ85721
| | - Julia Amato
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ85721
| | - Ryan Thien
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ85721
| | - Jessica Hanna
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ85721
| | - Aman Bhatia
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ85721
| | | | - Philipp Gutruf
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ85721
- Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ85721
- Bio5 Institute, University of Arizona, Tucson, AZ85721
- Neuroscience Graduate Interdisciplinary Program, University of Arizona, Tucson, AZ85721
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6
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Quazi MZ, Hwang J, Song Y, Park N. Hydrogel-Based Biosensors for Effective Therapeutics. Gels 2023; 9:545. [PMID: 37504424 PMCID: PMC10378974 DOI: 10.3390/gels9070545] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 06/22/2023] [Accepted: 06/26/2023] [Indexed: 07/29/2023] Open
Abstract
Nanotechnology and polymer engineering are navigating toward new developments to control and overcome complex problems. In the last few decades, polymer engineering has received researchers' attention and similarly, polymeric network-engineered structures have been vastly studied. Prior to therapeutic application, early and rapid detection analyses are critical. Therefore, developing hydrogel-based sensors to manage the acute expression of diseases and malignancies to devise therapeutic approaches demands advanced nanoengineering. However, nano-therapeutics have emerged as an alternative approach to tackling strenuous diseases. Similarly, sensing applications for multiple kinds of analytes in water-based environments and other media are gaining wide interest. It has also been observed that these functional roles can be used as alternative approaches to the detection of a wide range of biomolecules and pathogenic proteins. Moreover, hydrogels have emerged as a three-dimensional (3D) polymeric network that consists of hydrophilic natural or synthetic polymers with multidimensional dynamics. The resemblance of hydrogels to tissue structure makes them more unique to study inquisitively. Preceding studies have shown a vast spectrum of synthetic and natural polymer applications in the field of biotechnology and molecular diagnostics. This review explores recent studies on synthetic and natural polymers engineered hydrogel-based biosensors and their applications in multipurpose diagnostics and therapeutics. We review the latest studies on hydrogel-engineered biosensors, exclusively DNA-based and DNA hydrogel-fabricated biosensors.
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Affiliation(s)
- Mohzibudin Z Quazi
- Department of Chemistry and the Natural Science Research Institute, Myongji University, 116 Myongji-ro, Yongin-si 17058, Gyeonggi-do, Republic of Korea
| | - Jimin Hwang
- Department of Chemistry and the Natural Science Research Institute, Myongji University, 116 Myongji-ro, Yongin-si 17058, Gyeonggi-do, Republic of Korea
| | - Youngseo Song
- Department of Chemistry and the Natural Science Research Institute, Myongji University, 116 Myongji-ro, Yongin-si 17058, Gyeonggi-do, Republic of Korea
| | - Nokyoung Park
- Department of Chemistry and the Natural Science Research Institute, Myongji University, 116 Myongji-ro, Yongin-si 17058, Gyeonggi-do, Republic of Korea
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7
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Luo Y, Abidian MR, Ahn JH, Akinwande D, Andrews AM, Antonietti M, Bao Z, Berggren M, Berkey CA, Bettinger CJ, Chen J, Chen P, Cheng W, Cheng X, Choi SJ, Chortos A, Dagdeviren C, Dauskardt RH, Di CA, Dickey MD, Duan X, Facchetti A, Fan Z, Fang Y, Feng J, Feng X, Gao H, Gao W, Gong X, Guo CF, Guo X, Hartel MC, He Z, Ho JS, Hu Y, Huang Q, Huang Y, Huo F, Hussain MM, Javey A, Jeong U, Jiang C, Jiang X, Kang J, Karnaushenko D, Khademhosseini A, Kim DH, Kim ID, Kireev D, Kong L, Lee C, Lee NE, Lee PS, Lee TW, Li F, Li J, Liang C, Lim CT, Lin Y, Lipomi DJ, Liu J, Liu K, Liu N, Liu R, Liu Y, Liu Y, Liu Z, Liu Z, Loh XJ, Lu N, Lv Z, Magdassi S, Malliaras GG, Matsuhisa N, Nathan A, Niu S, Pan J, Pang C, Pei Q, Peng H, Qi D, Ren H, Rogers JA, Rowe A, Schmidt OG, Sekitani T, Seo DG, Shen G, Sheng X, Shi Q, Someya T, Song Y, Stavrinidou E, Su M, Sun X, Takei K, Tao XM, Tee BCK, Thean AVY, Trung TQ, Wan C, Wang H, Wang J, Wang M, Wang S, Wang T, Wang ZL, Weiss PS, Wen H, Xu S, Xu T, Yan H, Yan X, Yang H, Yang L, Yang S, Yin L, Yu C, Yu G, Yu J, Yu SH, Yu X, Zamburg E, Zhang H, Zhang X, Zhang X, Zhang X, Zhang Y, Zhang Y, Zhao S, Zhao X, Zheng Y, Zheng YQ, Zheng Z, Zhou T, Zhu B, Zhu M, Zhu R, Zhu Y, Zhu Y, Zou G, Chen X. Technology Roadmap for Flexible Sensors. ACS Nano 2023; 17:5211-5295. [PMID: 36892156 DOI: 10.1021/acsnano.2c12606] [Citation(s) in RCA: 137] [Impact Index Per Article: 137.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative efforts, scientific breakthroughs can be made sooner and capitalized for the betterment of humanity.
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Affiliation(s)
- Yifei Luo
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
- Innovative Centre for Flexible Devices (iFLEX), School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - Mohammad Reza Abidian
- Department of Biomedical Engineering, University of Houston, Houston, Texas 77024, United States
| | - Jong-Hyun Ahn
- School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Deji Akinwande
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Microelectronics Research Center, The University of Texas at Austin, Austin, Texas 78758, United States
| | - Anne M Andrews
- Department of Chemistry and Biochemistry, California NanoSystems Institute, and Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, and Hatos Center for Neuropharmacology, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Markus Antonietti
- Colloid Chemistry Department, Max Planck Institute of Colloids and Interfaces, 14476 Potsdam, Germany
| | - Zhenan Bao
- Department of Chemical Engineering, Stanford University, Stanford, California 94305, United States
| | - Magnus Berggren
- Laboratory of Organic Electronics, Department of Science and Technology, Campus Norrköping, Linköping University, 83 Linköping, Sweden
- Wallenberg Initiative Materials Science for Sustainability (WISE) and Wallenberg Wood Science Center (WWSC), SE-100 44 Stockholm, Sweden
| | - Christopher A Berkey
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94301, United States
| | - Christopher John Bettinger
- Department of Biomedical Engineering and Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Peng Chen
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore
| | - Wenlong Cheng
- Nanobionics Group, Department of Chemical and Biological Engineering, Monash University, Clayton, Australia, 3800
- Monash Institute of Medical Engineering, Monash University, Clayton, Australia3800
| | - Xu Cheng
- Applied Mechanics Laboratory, Department of Engineering Mechanics, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing 100084, PR China
| | - Seon-Jin Choi
- Division of Materials of Science and Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea
| | - Alex Chortos
- School of Mechanical Engineering, Purdue University, West Lafayette, Indiana 47906, United States
| | - Canan Dagdeviren
- Media Lab, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Reinhold H Dauskardt
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94301, United States
| | - Chong-An Di
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Organic Solids, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Michael D Dickey
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States
| | - Xiangfeng Duan
- Department of Chemistry and Biochemistry, California NanoSystems Institute, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Antonio Facchetti
- Department of Chemistry and the Materials Research Center, Northwestern University, Evanston, Illinois 60208, United States
| | - Zhiyong Fan
- Department of Electronic and Computer Engineering and Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
| | - Yin Fang
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore
| | - Jianyou Feng
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, PR China
| | - Xue Feng
- Laboratory of Flexible Electronics Technology, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
| | - Huajian Gao
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Republic of Singapore
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, California, 91125, United States
| | - Xiwen Gong
- Department of Chemical Engineering, Department of Materials Science and Engineering, Department of Electrical Engineering and Computer Science, Applied Physics Program, and Macromolecular Science and Engineering Program, University of Michigan, Ann Arbor, Michigan, 48109 United States
| | - Chuan Fei Guo
- Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Xiaojun Guo
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Martin C Hartel
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Zihan He
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Organic Solids, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - John S Ho
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- The N.1 Institute for Health, National University of Singapore, Singapore 117456, Singapore
| | - Youfan Hu
- School of Electronics and Center for Carbon-Based Electronics, Peking University, Beijing 100871, China
| | - Qiyao Huang
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
| | - Yu Huang
- Department of Materials Science and Engineering, California NanoSystems Institute, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Fengwei Huo
- Key Laboratory of Flexible Electronics (KLOFE) and Institute of Advanced Materials (IAM), Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing 211816, PR China
| | - Muhammad M Hussain
- mmh Labs, Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana 47906, United States
| | - Ali Javey
- Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720, United States
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
| | - Unyong Jeong
- Department of Materials Science and Engineering, Pohang University of Science and Engineering (POSTECH), Pohang, Gyeong-buk 37673, Korea
| | - Chen Jiang
- Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
| | - Xingyu Jiang
- Department of Biomedical Engineering, Southern University of Science and Technology, No 1088, Xueyuan Road, Xili, Nanshan District, Shenzhen, Guangdong 518055, PR China
| | - Jiheong Kang
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Daniil Karnaushenko
- Research Center for Materials, Architectures and Integration of Nanomembranes (MAIN), Chemnitz University of Technology, Chemnitz 09126, Germany
| | | | - Dae-Hyeong Kim
- Center for Nanoparticle Research, Institute for Basic Science (IBS), School of Chemical and Biological Engineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Il-Doo Kim
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
| | - Dmitry Kireev
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Microelectronics Research Center, The University of Texas at Austin, Austin, Texas 78758, United States
| | - Lingxuan Kong
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore
| | - Chengkuo Lee
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117608, Singapore
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou 215123, China
- NUS Graduate School-Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore 119077, Singapore
| | - Nae-Eung Lee
- School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon, Kyunggi-do 16419, Republic of Korea
| | - Pooi See Lee
- School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
- Singapore-HUJ Alliance for Research and Enterprise (SHARE), Campus for Research Excellence and Technological Enterprise (CREATE), Singapore 138602, Singapore
| | - Tae-Woo Lee
- Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea
- School of Chemical and Biological Engineering, Seoul National University, Seoul 08826, Republic of Korea
- Institute of Engineering Research, Research Institute of Advanced Materials, Seoul National University, Soft Foundry, Seoul 08826, Republic of Korea
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Fengyu Li
- College of Chemistry and Materials Science, Jinan University, Guangzhou, Guangdong 510632, China
| | - Jinxing Li
- Department of Biomedical Engineering, Department of Electrical and Computer Engineering, Neuroscience Program, BioMolecular Science Program, and Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan 48823, United States
| | - Cuiyuan Liang
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China
| | - Chwee Teck Lim
- Department of Biomedical Engineering, National University of Singapore, Singapore 117583, Singapore
- Mechanobiology Institute, National University of Singapore, Singapore 117411, Singapore
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 119276, Singapore
| | - Yuanjing Lin
- School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China
| | - Darren J Lipomi
- Department of Nano and Chemical Engineering, University of California, San Diego, La Jolla, California 92093-0448, United States
| | - Jia Liu
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, 02134, United States
| | - Kai Liu
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, Shanghai Jiao Tong University, Shanghai 200240, PR China
| | - Nan Liu
- Beijing Key Laboratory of Energy Conversion and Storage Materials, College of Chemistry, Beijing Normal University, Beijing 100875, PR China
| | - Ren Liu
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, 02134, United States
| | - Yuxin Liu
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
- Department of Biomedical Engineering, N.1 Institute for Health, Institute for Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore 119077, Singapore
| | - Yuxuan Liu
- Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Zhiyuan Liu
- Neural Engineering Centre, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China 518055
| | - Zhuangjian Liu
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Republic of Singapore
| | - Xian Jun Loh
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
| | - Nanshu Lu
- Department of Aerospace Engineering and Engineering Mechanics, Department of Electrical and Computer Engineering, Department of Mechanical Engineering, Department of Biomedical Engineering, Texas Materials Institute, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Zhisheng Lv
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
| | - Shlomo Magdassi
- Institute of Chemistry and the Center for Nanoscience and Nanotechnology, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel
| | - George G Malliaras
- Electrical Engineering Division, Department of Engineering, University of Cambridge CB3 0FA, Cambridge United Kingdom
| | - Naoji Matsuhisa
- Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
| | - Arokia Nathan
- Darwin College, University of Cambridge, Cambridge CB3 9EU, United Kingdom
| | - Simiao Niu
- Department of Biomedical Engineering, Rutgers University, Piscataway, New Jersey 08854, United States
| | - Jieming Pan
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
| | - Changhyun Pang
- School of Chemical Engineering and Samsung Advanced Institute for Health Science and Technology, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Qibing Pei
- Department of Materials Science and Engineering, Department of Mechanical and Aerospace Engineering, California NanoSystems Institute, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Huisheng Peng
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, PR China
| | - Dianpeng Qi
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China
| | - Huaying Ren
- Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, California, 90095, United States
| | - John A Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60208, United States
- Department of Materials Science and Engineering, Department of Mechanical Engineering, Department of Biomedical Engineering, Departments of Electrical and Computer Engineering and Chemistry, and Department of Neurological Surgery, Northwestern University, Evanston, Illinois 60208, United States
| | - Aaron Rowe
- Becton, Dickinson and Company, 1268 N. Lakeview Avenue, Anaheim, California 92807, United States
- Ready, Set, Food! 15821 Ventura Blvd #450, Encino, California 91436, United States
| | - Oliver G Schmidt
- Research Center for Materials, Architectures and Integration of Nanomembranes (MAIN), Chemnitz University of Technology, Chemnitz 09126, Germany
- Material Systems for Nanoelectronics, Chemnitz University of Technology, Chemnitz 09107, Germany
- Nanophysics, Faculty of Physics, TU Dresden, Dresden 01062, Germany
| | - Tsuyoshi Sekitani
- The Institute of Scientific and Industrial Research (SANKEN), Osaka University, Osaka, Japan 5670047
| | - Dae-Gyo Seo
- Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Guozhen Shen
- School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China
| | - Xing Sheng
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Center for Flexible Electronics Technology, and IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, 100084, China
| | - Qiongfeng Shi
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117608, Singapore
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou 215123, China
| | - Takao Someya
- Department of Electrical Engineering and Information Systems, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
| | - Yanlin Song
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences, Beijing, Beijing 100190, China
| | - Eleni Stavrinidou
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-601 74 Norrkoping, Sweden
| | - Meng Su
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences, Beijing, Beijing 100190, China
| | - Xuemei Sun
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, PR China
| | - Kuniharu Takei
- Department of Physics and Electronics, Osaka Metropolitan University, Sakai, Osaka 599-8531, Japan
| | - Xiao-Ming Tao
- Research Institute for Intelligent Wearable Systems, School of Fashion and Textiles, Hong Kong Polytechnic University, Hong Kong, China
| | - Benjamin C K Tee
- Materials Science and Engineering, National University of Singapore, Singapore 117575, Singapore
- iHealthtech, National University of Singapore, Singapore 119276, Singapore
| | - Aaron Voon-Yew Thean
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Singapore Hybrid-Integrated Next-Generation μ-Electronics Centre (SHINE), Singapore 117583, Singapore
| | - Tran Quang Trung
- School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon, Kyunggi-do 16419, Republic of Korea
| | - Changjin Wan
- School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China
| | - Huiliang Wang
- Department of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712, United States
| | - Joseph Wang
- Department of Nanoengineering, University of California, San Diego, California 92093, United States
| | - Ming Wang
- Frontier Institute of Chip and System, State Key Laboratory of Integrated Chip and Systems, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 200433, China
- the Shanghai Qi Zhi Institute, 41th Floor, AI Tower, No.701 Yunjin Road, Xuhui District, Shanghai 200232, China
| | - Sihong Wang
- Pritzker School of Molecular Engineering, The University of Chicago, Chicago, Illinois, 60637, United States
| | - Ting Wang
- State Key Laboratory of Organic Electronics and Information Displays and Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China
| | - Zhong Lin Wang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, China
- Georgia Institute of Technology, Atlanta, Georgia 30332-0245, United States
| | - Paul S Weiss
- California NanoSystems Institute, Department of Chemistry and Biochemistry, Department of Bioengineering, and Department of Materials Science and Engineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Hanqi Wen
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore
- Institute of Flexible Electronics Technology of THU, Jiaxing, Zhejiang, China 314000
| | - Sheng Xu
- Department of Nanoengineering, Department of Electrical and Computer Engineering, Materials Science and Engineering Program, and Department of Bioengineering, University of California San Diego, La Jolla, California, 92093, United States
| | - Tailin Xu
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, 518060, PR China
| | - Hongping Yan
- Department of Chemical Engineering, Stanford University, Stanford, California 94305, United States
| | - Xuzhou Yan
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, Shanghai Jiao Tong University, Shanghai 200240, PR China
| | - Hui Yang
- Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, School of Science, Tianjin University, Tianjin, China, 300072
| | - Le Yang
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
- Department of Materials Science and Engineering, National University of Singapore (NUS), 9 Engineering Drive 1, #03-09 EA, Singapore 117575, Singapore
| | - Shuaijian Yang
- School of Biomedical Sciences, Faculty of Biological Sciences, University of Leeds, Leeds, LS2 9JT, United Kingdom
| | - Lan Yin
- School of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, and Center for Flexible Electronics Technology, Tsinghua University, Beijing, 100084, China
| | - Cunjiang Yu
- Department of Engineering Science and Mechanics, Department of Biomedical Engineering, Department of Material Science and Engineering, Materials Research Institute, Pennsylvania State University, University Park, Pennsylvania, 16802, United States
| | - Guihua Yu
- Materials Science and Engineering Program and Walker Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas, 78712, United States
| | - Jing Yu
- School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - Shu-Hong Yu
- Department of Chemistry, Institute of Biomimetic Materials and Chemistry, Hefei National Research Center for Physical Science at the Microscale, University of Science and Technology of China, Hefei 230026, China
| | - Xinge Yu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China
| | - Evgeny Zamburg
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Singapore Hybrid-Integrated Next-Generation μ-Electronics Centre (SHINE), Singapore 117583, Singapore
| | - Haixia Zhang
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication; Beijing Advanced Innovation Center for Integrated Circuits, School of Integrated Circuits, Peking University, Beijing 100871, China
| | - Xiangyu Zhang
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Singapore Hybrid-Integrated Next-Generation μ-Electronics Centre (SHINE), Singapore 117583, Singapore
| | - Xiaosheng Zhang
- School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Xueji Zhang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong 518060, PR China
| | - Yihui Zhang
- Applied Mechanics Laboratory, Department of Engineering Mechanics; Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing 100084, PR China
| | - Yu Zhang
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Singapore Hybrid-Integrated Next-Generation μ-Electronics Centre (SHINE), Singapore 117583, Singapore
| | - Siyuan Zhao
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, 02134, United States
| | - Xuanhe Zhao
- Department of Mechanical Engineering, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139, United States
| | - Yuanjin Zheng
- Center for Integrated Circuits and Systems, School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore
| | - Yu-Qing Zheng
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication; School of Integrated Circuits, Peking University, Beijing 100871, China
| | - Zijian Zheng
- Department of Applied Biology and Chemical Technology, Faculty of Science, Research Institute for Intelligent Wearable Systems, Research Institute for Smart Energy, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
| | - Tao Zhou
- Center for Neural Engineering, Department of Engineering Science and Mechanics, The Huck Institutes of the Life Sciences, Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Bowen Zhu
- Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, Hangzhou 310024, China
| | - Ming Zhu
- Institute for Digital Molecular Analytics and Science (IDMxS), Nanyang Technological University, 59 Nanyang Drive, Singapore 636921, Singapore
| | - Rong Zhu
- Department of Precision Instrument, Tsinghua University, Beijing 100084, China
| | - Yangzhi Zhu
- Terasaki Institute for Biomedical Innovation, Los Angeles, California, 90064, United States
| | - Yong Zhu
- Department of Mechanical and Aerospace Engineering, Department of Materials Science and Engineering, and Department of Biomedical Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Guijin Zou
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Republic of Singapore
| | - Xiaodong Chen
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
- Innovative Center for Flexible Devices (iFLEX), Max Planck-NTU Joint Laboratory for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
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8
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Stuart T, Yin X, Chen SJ, Farley M, McGuire DT, Reddy N, Thien R, DiMatteo S, Fumeaux C, Gutruf P. Context-aware electromagnetic design for continuously wearable biosymbiotic devices. Biosens Bioelectron 2023; 228:115218. [PMID: 36940633 DOI: 10.1016/j.bios.2023.115218] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 02/07/2023] [Accepted: 03/07/2023] [Indexed: 03/16/2023]
Abstract
Imperceptible wireless wearable devices are critical to advance digital medicine with the goal to capture clinical-grade biosignals continuously. Design of these systems is complex because of unique interdependent electromagnetic, mechanic and system level considerations that directly influence performance. Typically, approaches consider body location, related mechanical loads, and desired sensing capabilities, however, design for real world application context is not formulated. Wireless power casting eliminates user interaction and the need to recharge batteries, however, implementation is challenging because the use case influences performance. To facilitate a data-driven approach to design, we demonstrate a method for personalized, context-aware antenna, rectifier and wireless electronics design that considers human behavioral patterns and physiology to optimize electromagnetic and mechanical features for best performance across an average day of the target user group. Implementation of these methods result in devices that enable continuous recording of high-fidelity biosignals over weeks without the need for human interaction.
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Affiliation(s)
- Tucker Stuart
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA
| | - Xiaoyang Yin
- School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA, 5005, Australia
| | - Shengjian Jammy Chen
- School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA, 5005, Australia; College of Science and Engineering, Flinders University, Tonsley, SA, 5042, Australia
| | - Max Farley
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA
| | - Dylan Thomas McGuire
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA
| | - Nikhil Reddy
- Eller College of Management, University of Arizona, Tucson, AZ, 85721, USA
| | - Ryan Thien
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA
| | - Sam DiMatteo
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA
| | - Christophe Fumeaux
- School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA, 5005, Australia.
| | - Philipp Gutruf
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA; Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, 85721, USA; Bio5 Institute, University of Arizona, Tucson, AZ, 85721, USA; Neuroscience GIDP, University of Arizona, Tucson, AZ, 85721, USA.
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9
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Sajno E, Bartolotta S, Tuena C, Cipresso P, Pedroli E, Riva G. Machine learning in biosignals processing for mental health: A narrative review. Front Psychol 2023; 13:1066317. [PMID: 36710855 PMCID: PMC9880193 DOI: 10.3389/fpsyg.2022.1066317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 12/16/2022] [Indexed: 01/15/2023] Open
Abstract
Machine Learning (ML) offers unique and powerful tools for mental health practitioners to improve evidence-based psychological interventions and diagnoses. Indeed, by detecting and analyzing different biosignals, it is possible to differentiate between typical and atypical functioning and to achieve a high level of personalization across all phases of mental health care. This narrative review is aimed at presenting a comprehensive overview of how ML algorithms can be used to infer the psychological states from biosignals. After that, key examples of how they can be used in mental health clinical activity and research are illustrated. A description of the biosignals typically used to infer cognitive and emotional correlates (e.g., EEG and ECG), will be provided, alongside their application in Diagnostic Precision Medicine, Affective Computing, and brain-computer Interfaces. The contents will then focus on challenges and research questions related to ML applied to mental health and biosignals analysis, pointing out the advantages and possible drawbacks connected to the widespread application of AI in the medical/mental health fields. The integration of mental health research and ML data science will facilitate the transition to personalized and effective medicine, and, to do so, it is important that researchers from psychological/ medical disciplines/health care professionals and data scientists all share a common background and vision of the current research.
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Affiliation(s)
- Elena Sajno
- Humane Technology Lab, Università Cattolica del Sacro Cuore, Milan, Italy,Department of Computer Science, University of Pisa, Pisa, Italy,*Correspondence: Elena Sajno, ✉
| | - Sabrina Bartolotta
- ExperienceLab, Università Cattolica del Sacro Cuore, Milan, Italy,Department of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy
| | - Cosimo Tuena
- Applied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Pietro Cipresso
- Applied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico Italiano, Milan, Italy,Department of Psychology, University of Turin, Turin, Italy
| | - Elisa Pedroli
- Department of Psychology, eCampus University, Novedrate, Italy
| | - Giuseppe Riva
- Humane Technology Lab, Università Cattolica del Sacro Cuore, Milan, Italy,Applied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico Italiano, Milan, Italy
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10
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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: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [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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11
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Stuart T, Hanna J, Gutruf P. Wearable devices for continuous monitoring of biosignals: Challenges and opportunities. APL Bioeng 2022; 6:021502. [PMID: 35464617 PMCID: PMC9010050 DOI: 10.1063/5.0086935] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Accepted: 03/29/2022] [Indexed: 12/17/2022] Open
Abstract
The ability for wearable devices to collect high-fidelity biosignals continuously over weeks and months at a time has become an increasingly sought-after characteristic to provide advanced diagnostic and therapeutic capabilities. Wearable devices for this purpose face a multitude of challenges such as formfactors with long-term user acceptance and power supplies that enable continuous operation without requiring extensive user interaction. This review summarizes design considerations associated with these attributes and summarizes recent advances toward continuous operation with high-fidelity biosignal recording abilities. The review also provides insight into systematic barriers for these device archetypes and outlines most promising technological approaches to expand capabilities. We conclude with a summary of current developments of hardware and approaches for embedded artificial intelligence in this wearable device class, which is pivotal for next generation autonomous diagnostic, therapeutic, and assistive health tools.
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Affiliation(s)
- Tucker Stuart
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85721, USA
| | - Jessica Hanna
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85721, USA
| | - Philipp Gutruf
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85721, USA
- Department of Electrical and Computer Engineering, University of Arizona, Tucson, Arizona 85721, USA
- Bio5 Institute, University of Arizona, Tucson, Arizona 85721, USA
- Neuroscience GIDP, University of Arizona, Tucson, Arizona 85721, USA
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12
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Abstract
Biosensing technology helps prevent, diagnose, and treat diseases and has attracted more and more researchers in recent years. Artificial intelligence-based triboelectric nanogenerators (AI-TENG) are promising for applications in biosensors due to their myriad of merits, including high efficiency and precision, low cost, light weight, and self-powered. This article aims to show how artificial intelligence and triboelectric nanogenerators have been combined to develop biosensors. We first focus on the working principle of triboelectric nanogenerators and the method of combining them with artificial intelligence. Secondly, we highlight the representative research work of AI-TENG in biomolecules sensing, organic compounds, and complex mixture of cells. Finally, this paper concludes with a summary and prospect on the existing challenges and possible solutions in the application of AI-TENG to the field of biosensors.
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Affiliation(s)
- Min Jiang
- Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing, China
| | - Shaoqiu Zheng
- The 28th Research Institute of China Electronics Technology Group Corporation, Nanjing, China
| | - Zhiyuan Zhu
- Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing, China
- *Correspondence: Zhiyuan Zhu,
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13
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Choi S. Electrogenic Bacteria Promise New Opportunities for Powering, Sensing, and Synthesizing. Small 2022; 18:e2107902. [PMID: 35119203 DOI: 10.1002/smll.202107902] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 01/06/2022] [Indexed: 06/14/2023]
Abstract
Considerable research efforts into the promises of electrogenic bacteria and the commercial opportunities they present are attempting to identify potential feasible applications. Metabolic electrons from the bacteria enable electricity generation sufficient to power portable or small-scale applications, while the quantifiable electric signal in a miniaturized device platform can be sensitive enough to monitor and respond to changes in environmental conditions. Nanomaterials produced by the electrogenic bacteria can offer an innovative bottom-up biosynthetic approach to synergize bacterial electron transfer and create an effective coupling at the cell-electrode interface. Furthermore, electrogenic bacteria can revolutionize the field of bioelectronics by effectively interfacing electronics with microbes through extracellular electron transfer. Here, these new directions for the electrogenic bacteria and their recent integration with micro- and nanosystems are comprehensively discussed with specific attention toward distinct applications in the field of powering, sensing, and synthesizing. Furthermore, challenges of individual applications and strategies toward potential solutions are provided to offer valuable guidelines for practical implementation. Finally, the perspective and view on how the use of electrogenic bacteria can hold immeasurable promise for the development of future electronics and their applications are presented.
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Affiliation(s)
- Seokheun Choi
- Bioelectronics & Microsystems Laboratory, Department of Electrical & Computer Engineering, State University of New York at Binghamton, Binghamton, NY, 13902, USA
- Center for Research in Advanced Sensing Technologies & Environmental Sustainability, State University of New York at Binghamton, Binghamton, NY, 13902, USA
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14
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15
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Shafaat A, Žalnėravičius R, Ratautas D, Dagys M, Meškys R, Rutkienė R, Gonzalez-Martinez JF, Neilands J, Björklund S, Sotres J, Ruzgas T. Glucose-to-Resistor Transduction Integrated into a Radio-Frequency Antenna for Chip-less and Battery-less Wireless Sensing. ACS Sens 2022; 7:1222-1234. [PMID: 35392657 PMCID: PMC9040053 DOI: 10.1021/acssensors.2c00394] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
To maximize the potential of 5G infrastructure in healthcare, simple integration of biosensors with wireless tag antennas would be beneficial. This work introduces novel glucose-to-resistor transduction, which enables simple, wireless biosensor design. The biosensor was realized on a near-field communication tag antenna, where a sensing bioanode generated electrical current and electroreduced a nonconducting antenna material into an excellent conductor. For this, a part of the antenna was replaced by a Ag nanoparticle layer oxidized to high-resistance AgCl. The bioanode was based on Au nanoparticle-wired glucose dehydrogenase (GDH). The exposure of the cathode-bioanode to glucose solution resulted in GDH-catalyzed oxidation of glucose at the bioanode with a concomitant reduction of AgCl to highly conducting Ag on the cathode. The AgCl-to-Ag conversion strongly affected the impedance of the antenna circuit, allowing wireless detection of glucose. Mimicking the final application, the proposed wireless biosensor was ultimately evaluated through the measurement of glucose in whole blood, showing good agreement with the values obtained with a commercially available glucometer. This work, for the first time, demonstrates that making a part of the antenna from the AgCl layer allows achieving simple, chip-less, and battery-less wireless sensing of enzyme-catalyzed reduction reaction.
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Affiliation(s)
- Atefeh Shafaat
- Department of Biomedical Science, Faculty of Health and Society, Malmö University, Malmö 205 06, Sweden
- Biofilms−Research Center for Biointerfaces, Malmö University, Malmö 205 06, Sweden
| | - Rokas Žalnėravičius
- State Research Institute, Centre for Physical Sciences and Technology, Saulėtekio av. 3, Vilnius LT-10257, Lithuania
| | - Dalius Ratautas
- Institute of Biochemistry, Life Sciences Centre, Vilnius University, Saulėtekio al. 7, Vilnius LT-10223, Lithuania
- Faculty of Fundamental Sciences, Vilnius Gediminas Technical University, Saulėtekio al. 11, Vilnius LT-10223, Lithuania
| | - Marius Dagys
- Institute of Biochemistry, Life Sciences Centre, Vilnius University, Saulėtekio al. 7, Vilnius LT-10223, Lithuania
| | - Rolandas Meškys
- Institute of Biochemistry, Life Sciences Centre, Vilnius University, Saulėtekio al. 7, Vilnius LT-10223, Lithuania
| | - Rasa Rutkienė
- Institute of Biochemistry, Life Sciences Centre, Vilnius University, Saulėtekio al. 7, Vilnius LT-10223, Lithuania
| | - Juan Francisco Gonzalez-Martinez
- Department of Biomedical Science, Faculty of Health and Society, Malmö University, Malmö 205 06, Sweden
- Biofilms−Research Center for Biointerfaces, Malmö University, Malmö 205 06, Sweden
| | - Jessica Neilands
- Department of Oral Biology, Faculty of Odontology, Malmö University, Malmö 205 06, Sweden
| | - Sebastian Björklund
- Department of Biomedical Science, Faculty of Health and Society, Malmö University, Malmö 205 06, Sweden
- Biofilms−Research Center for Biointerfaces, Malmö University, Malmö 205 06, Sweden
| | - Javier Sotres
- Department of Biomedical Science, Faculty of Health and Society, Malmö University, Malmö 205 06, Sweden
- Biofilms−Research Center for Biointerfaces, Malmö University, Malmö 205 06, Sweden
| | - Tautgirdas Ruzgas
- Department of Biomedical Science, Faculty of Health and Society, Malmö University, Malmö 205 06, Sweden
- Biofilms−Research Center for Biointerfaces, Malmö University, Malmö 205 06, Sweden
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16
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Zamora-mejia G, Martinez-castillo J, Diaz-sanchez A, Rocha-perez JM, Herrera-may AL, Zapata-rodriguez UG, Carbajal-gomez VH. A Self-Powered UHF Passive Tag for Biomedical Temperature Monitoring. Electronics 2022; 11:1108. [DOI: 10.3390/electronics11071108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Self-powered RF passive sensors have potential application in temperature measurements of patients with health problems. Herein, this work presents the design and implementation of a self-powered UHF passive tag prototype for biomedical temperature monitoring. The proposed battery-free sensor is composed of three basic building blocks: a high-frequency section, a micro-power management stage, and a temperature sensor. This passive temperature sensor uses an 860 MHz to 960 MHz RF carrier and a 1 W Effective Isotropic Radiated Power (EIRP) to harvest energy for its operation, showing a read range of 9.5 m with a 13.75 µW power consumption, and an overall power consumption efficiency of 10.92% was achieved. The proposed device can measure temperature variations between 0 °C and 60 °C with a sensitivity of 823.29 Hz/°C and a standard error of 13.67 Hz/°C over linear regression. Circuit functionality was validated by means of post-layout simulations, characterization, and measurements of the manufactured prototype. The chip prototype was fabricated using a 0.18 µm CMOS standard technology with a silicon area consumption of 1065 µm × 560 µm. The overall size of the self-powered passive tag is 8 cm × 2 cm, including both chip and antenna. The self-powered tag prototype could be employed for human body temperature monitoring.
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17
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Kawasaki D, Yamada H, Sueyoshi K, Hisamoto H, Endo T. Imprinted Photonic Crystal-Film-Based Smartphone-Compatible Label-Free Optical Sensor for SARS-CoV-2 Testing. Biosensors (Basel) 2022; 12:200. [PMID: 35448260 PMCID: PMC9026776 DOI: 10.3390/bios12040200] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 03/23/2022] [Accepted: 03/25/2022] [Indexed: 06/14/2023]
Abstract
The coronavirus disease (COVID-19) caused by SARS-CoV-2 has caused a global pandemic. To manage and control the spread of the infection, it is crucial to develop and implement technologies for the early identification of infected individuals and rapid informatization in communities. For the realization of such a technology, a widely available and highly usable sensor for sensitive and specific assay of the virus plays a fundamental role. In this study, we developed an optical sensor based on an imprinted photonic crystal film (IPCF) for quick, simple, and cost-effective detection of SARS-CoV-2 spike protein in artificial saliva. Our IPCF sensor enabled label-free and highly sensitive detection with a smartphone-equipped optical setup. The IPCF surface was functionalized with an anti-SARS-CoV-2 spike protein antibody for immunoassay. We evaluated the specificity and sensitivity of the IPCF sensor for quantitative detection of the spike protein in artificial saliva using simple reflectometry with a spectrometer-equipped optical setup. Specific and quantitative detection of the spike protein was successfully achieved, with a low detection limit of 429 fg/mL. In the demonstration of reflectometric detection with a smartphone-equipped setup, the sensitivity was comparable with that with a spectrometer-equipped setup. The test result is returned immediately and can be saved to cloud storage. In addition, it costs less than USD 1 for one IPCF to be used for diagnosis. Thus, the developed IPCF has the potential to realize a widely available and highly usable sensor.
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Affiliation(s)
- Daiki Kawasaki
- Department of Applied Chemistry, Graduate School of Engineering, Osaka Prefecture University, Sakai 599-8531, Japan; (D.K.); (H.Y.); (K.S.); (H.H.)
| | - Hirotaka Yamada
- Department of Applied Chemistry, Graduate School of Engineering, Osaka Prefecture University, Sakai 599-8531, Japan; (D.K.); (H.Y.); (K.S.); (H.H.)
| | - Kenji Sueyoshi
- Department of Applied Chemistry, Graduate School of Engineering, Osaka Prefecture University, Sakai 599-8531, Japan; (D.K.); (H.Y.); (K.S.); (H.H.)
- Japan Science and Technology Agency (JST), Precursory Research for Embryonic Science and Technology (PRESTO), 5-3 Yonban-cho, Chiyoda, Tokyo 102-8666, Japan
| | - Hideaki Hisamoto
- Department of Applied Chemistry, Graduate School of Engineering, Osaka Prefecture University, Sakai 599-8531, Japan; (D.K.); (H.Y.); (K.S.); (H.H.)
| | - Tatsuro Endo
- Department of Applied Chemistry, Graduate School of Engineering, Osaka Prefecture University, Sakai 599-8531, Japan; (D.K.); (H.Y.); (K.S.); (H.H.)
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18
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Ehrmann G, Blachowicz T, Homburg SV, Ehrmann A. Measuring Biosignals with Single Circuit Boards. Bioengineering (Basel) 2022; 9:bioengineering9020084. [PMID: 35200437 PMCID: PMC8869486 DOI: 10.3390/bioengineering9020084] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 02/14/2022] [Indexed: 12/23/2022] Open
Abstract
To measure biosignals constantly, using textile-integrated or even textile-based electrodes and miniaturized electronics, is ideal to provide maximum comfort for patients or athletes during monitoring. While in former times, this was usually solved by integrating specialized electronics into garments, either connected to a handheld computer or including a wireless data transfer option, nowadays increasingly smaller single circuit boards are available, e.g., single-board computers such as Raspberry Pi or microcontrollers such as Arduino, in various shapes and dimensions. This review gives an overview of studies found in the recent scientific literature, reporting measurements of biosignals such as ECG, EMG, sweat and other health-related parameters by single circuit boards, showing new possibilities offered by Arduino, Raspberry Pi etc. in the mobile long-term acquisition of biosignals. The review concentrates on the electronics, not on textile electrodes about which several review papers are available.
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Affiliation(s)
- Guido Ehrmann
- Virtual Institute of Applied Research on Advanced Materials (VIARAM)
- Correspondence:
| | - Tomasz Blachowicz
- Institute of Physics—Center for Science and Education, Silesian University of Technology, 44-100 Gliwice, Poland;
| | - Sarah Vanessa Homburg
- Faculty of Engineering and Mathematics, Bielefeld University of Applied Sciences, 33619 Bielefeld, Germany; (S.V.H.); (A.E.)
| | - Andrea Ehrmann
- Faculty of Engineering and Mathematics, Bielefeld University of Applied Sciences, 33619 Bielefeld, Germany; (S.V.H.); (A.E.)
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19
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Affiliation(s)
- Sho Mihara
- Graduate School of Advanced Science and Engineering Waseda University Tokyo Japan
- Waseda Research Institute for Science and Engineering Waseda University Tokyo Japan
| | - Shinji Takeoka
- Waseda Research Institute for Science and Engineering Waseda University Tokyo Japan
- Faculty of Science and Engineering Waseda University Tokyo Japan
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20
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Coccia M, Roshani S, Mosleh M. Scientific Developments and New Technological Trajectories in Sensor Research. Sensors (Basel) 2021; 21:7803. [PMID: 34883807 DOI: 10.3390/s21237803] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 11/12/2021] [Accepted: 11/12/2021] [Indexed: 02/06/2023]
Abstract
Scientific developments and new technological trajectories in sensors play an important role in understanding technological and social change. The goal of this study is to develop a scientometric analysis (using scientific documents and patents) to explain the evolution of sensor research and new sensor technologies that are critical to science and society. Results suggest that new directions in sensor research are driving technological trajectories of wireless sensor networks, biosensors and wearable sensors. These findings can help scholars to clarify new paths of technological change in sensors and policymakers to allocate research funds towards research fields and sensor technologies that have a high potential of growth for generating a positive societal impact.
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21
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Xiong Z, Achavananthadith S, Lian S, Madden LE, Ong ZX, Chua W, Kalidasan V, Li Z, Liu Z, Singh P, Yang H, Heussler SP, Kalaiselvi SMP, Breese MBH, Yao H, Gao Y, Sanmugam K, Tee BCK, Chen PY, Loke W, Lim CT, Chiang GSH, Tan BY, Li H, Becker DL, Ho JS. A wireless and battery-free wound infection sensor based on DNA hydrogel. Sci Adv 2021; 7:eabj1617. [PMID: 34797719 PMCID: PMC8604401 DOI: 10.1126/sciadv.abj1617] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
The confluence of wireless technology and biosensors offers the possibility to detect and manage medical conditions outside of clinical settings. Wound infections represent a major clinical challenge in which timely detection is critical for effective interventions, but this is currently hindered by the lack of a monitoring technology that can interface with wounds, detect pathogenic bacteria, and wirelessly transmit data. Here, we report a flexible, wireless, and battery-free sensor that provides smartphone-based detection of wound infection using a bacteria-responsive DNA hydrogel. The engineered DNA hydrogels respond selectively to deoxyribonucleases associated with pathogenic bacteria through tunable dielectric changes, which can be wirelessly detected using near-field communication. In a mouse acute wound model, we demonstrate that the wireless sensor can detect physiologically relevant amounts of Staphylococcus aureus even before visible manifestation of infection. These results demonstrate strategies for continuous infection monitoring, which may facilitate improved management of surgical or chronic wounds.
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Affiliation(s)
- Ze Xiong
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore
- The N.1 Institute for Health, National University of Singapore, Singapore 117456, Singapore
- Corresponding author. (Z.X.); (J.S.H.)
| | - Sippanat Achavananthadith
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
| | - Sophie Lian
- Department of Biomedical Engineering, National University of Singapore, Singapore 117583, Singapore
| | - Leigh Edward Madden
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore
- Skin Research Institute of Singapore, Singapore 308232, Singapore
| | - Zi Xin Ong
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore
- Skin Research Institute of Singapore, Singapore 308232, Singapore
- Nanyang Institute of Technology in Health and Medicine, Interdisciplinary Graduate Programme, Nanyang Technological University, Singapore 637335, Singapore
| | - Wisely Chua
- Institute of Molecular and Cell Biology, A*STAR, Singapore 138669, Singapore
| | - Viveka Kalidasan
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
| | - Zhipeng Li
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
| | - Zhu Liu
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
| | - Priti Singh
- Faculty of Dentistry, National University of Singapore, Singapore 119085, Singapore
| | - Haitao Yang
- Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore
| | | | - S. M. P. Kalaiselvi
- Singapore Synchrotron Light Source, National University of Singapore, Singapore 117603, Singapore
| | - Mark B. H. Breese
- Singapore Synchrotron Light Source, National University of Singapore, Singapore 117603, Singapore
| | - Haicheng Yao
- Department of Materials Science and Engineering, National University of Singapore, Singapore 117575, Singapore
| | - Yuji Gao
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore
| | | | - Benjamin C. K. Tee
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore
- The N.1 Institute for Health, National University of Singapore, Singapore 117456, Singapore
- Department of Materials Science and Engineering, National University of Singapore, Singapore 117575, Singapore
- Graduate School of Integrative Sciences and Engineering, National University of Singapore, Singapore 117456, Singapore
| | - Po-Yen Chen
- Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore
| | - Weiqiang Loke
- Faculty of Dentistry, National University of Singapore, Singapore 119085, Singapore
| | - Chwee Teck Lim
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore
- Department of Biomedical Engineering, National University of Singapore, Singapore 117583, Singapore
- Graduate School of Integrative Sciences and Engineering, National University of Singapore, Singapore 117456, Singapore
- Mechanobiology Institute, National University of Singapore, Singapore 117411, Singapore
| | | | | | - Hao Li
- Nanyang Institute of Technology in Health and Medicine, Interdisciplinary Graduate Programme, Nanyang Technological University, Singapore 637335, Singapore
- Department of Chemistry, National University of Singapore, Singapore 117544, Singapore
| | - David Laurence Becker
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore
- Skin Research Institute of Singapore, Singapore 308232, Singapore
| | - John S. Ho
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore
- The N.1 Institute for Health, National University of Singapore, Singapore 117456, Singapore
- Graduate School of Integrative Sciences and Engineering, National University of Singapore, Singapore 117456, Singapore
- Corresponding author. (Z.X.); (J.S.H.)
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22
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Stuart T, Kasper KA, Iwerunmor IC, McGuire DT, Peralta R, Hanna J, Johnson M, Farley M, LaMantia T, Udorvich P, Gutruf P. Biosymbiotic, personalized, and digitally manufactured wireless devices for indefinite collection of high-fidelity biosignals. Sci Adv 2021; 7:eabj3269. [PMID: 34623919 PMCID: PMC8500520 DOI: 10.1126/sciadv.abj3269] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 08/16/2021] [Indexed: 05/12/2023]
Abstract
Digital medicine, the ability to stream continuous information from the body to gain insight into health status, manage disease, and predict onset health problems, is only gradually developing. Key technological hurdles that slow the proliferation of this approach are means by which clinical grade biosignals are continuously obtained without frequent user interaction. To overcome these hurdles, solutions in power supply and interface strategies that maintain high-fidelity readouts chronically are critical. This work introduces a previously unexplored class of devices that overcomes the limitations using digital manufacturing to tailor geometry, mechanics, electromagnetics, electronics, and fluidics to create unique personalized devices optimized to the wearer. These elastomeric, three-dimensional printed, and laser-structured constructs, called biosymbiotic devices, enable adhesive-free interfaces and the inclusion of high-performance, far-field energy harvesting to facilitate continuous wireless and battery-free operation of multimodal and multidevice, high-fidelity biosensing in an at-home setting without user interaction.
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Affiliation(s)
- Tucker Stuart
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ 85721, USA
| | - Kevin Albert Kasper
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ 85721, USA
| | | | - Dylan Thomas McGuire
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ 85721, USA
| | - Roberto Peralta
- Department of Aerospace and Mechanical Engineering, University of Arizona, Tucson, AZ 85721, USA
| | - Jessica Hanna
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ 85721, USA
| | - Megan Johnson
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ 85721, USA
| | - Max Farley
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ 85721, USA
| | - Thomas LaMantia
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ 85721, USA
| | - Paul Udorvich
- Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721, USA
| | - Philipp Gutruf
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ 85721, USA
- Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721, USA
- Bio5 Institute, University of Arizona, Tucson, AZ 85721, USA
- Neroscience GIDP, University of Arizona, Tucson, AZ 85721, USA
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23
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Jin P, Fu J, Wang F, Zhang Y, Wang P, Liu X, Jiao Y, Li H, Chen Y, Ma Y, Feng X. A flexible, stretchable system for simultaneous acoustic energy transfer and communication. Sci Adv 2021; 7:eabg2507. [PMID: 34586839 PMCID: PMC8480923 DOI: 10.1126/sciadv.abg2507] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 08/06/2021] [Indexed: 05/02/2023]
Abstract
The use of implantable medical devices, including cardiac pacemakers and brain pacemakers, is becoming increasingly prevalent. However, surgically replacing batteries owing to their limited lifetime is a drawback of those devices. Such an operation poses a risk to patients—a problem that, to date, has not yet been solved. Furthermore, current devices are large and rigid, potentially causing patient discomfort after implantation. To address this problem, we developed a thin, battery-free, flexible, implantable system based on flexible electronic technology that can not only achieve wireless recharging and communication simultaneously via ultrasound but also perform many current device functions, including in vivo physiological monitoring and cardiac pacing. To prove this, an animal experiment was conducted involving creating a cardiac arrest model and powering the system by ultrasound. The results showed that it automatically detected abnormal heartbeats and responded by electrically stimulating the heart, demonstrating the device’s potential clinical utility for emergent treatment.
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Affiliation(s)
- Peng Jin
- AML, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
- Center for Flexible Electronics Technology, Tsinghua University, Beijing 100084, China
| | - Ji Fu
- AML, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
- Center for Flexible Electronics Technology, Tsinghua University, Beijing 100084, China
| | - Fengle Wang
- AML, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
- Center for Flexible Electronics Technology, Tsinghua University, Beijing 100084, China
| | - Yingchao Zhang
- AML, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
- Center for Flexible Electronics Technology, Tsinghua University, Beijing 100084, China
| | - Peng Wang
- AML, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
- Center for Flexible Electronics Technology, Tsinghua University, Beijing 100084, China
| | - Xin Liu
- AML, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
- Center for Flexible Electronics Technology, Tsinghua University, Beijing 100084, China
| | - Yang Jiao
- AML, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
- Center for Flexible Electronics Technology, Tsinghua University, Beijing 100084, China
| | - Hangfei Li
- AML, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
- Center for Flexible Electronics Technology, Tsinghua University, Beijing 100084, China
| | - Ying Chen
- Institute of Flexible Electronics Technology of THU Jiaxing, Zhejiang 314000, China
- Qiantang Science and Technology Innovation Center, Hangzhou 310016, China
| | - Yinji Ma
- AML, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
- Center for Flexible Electronics Technology, Tsinghua University, Beijing 100084, China
| | - Xue Feng
- AML, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
- Center for Flexible Electronics Technology, Tsinghua University, Beijing 100084, China
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24
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Kalidasan V, Yang X, Xiong Z, Li RR, Yao H, Godaba H, Obuobi S, Singh P, Guan X, Tian X, Kurt SA, Li Z, Mukherjee D, Rajarethinam R, Chong CS, Wang JW, Ee PLR, Loke W, Tee BCK, Ouyang J, Charles CJ, Ho JS. Wirelessly operated bioelectronic sutures for the monitoring of deep surgical wounds. Nat Biomed Eng 2021; 5:1217-1227. [PMID: 34654900 DOI: 10.1038/s41551-021-00802-0] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Accepted: 09/02/2021] [Indexed: 02/07/2023]
Abstract
Monitoring surgical wounds post-operatively is necessary to prevent infection, dehiscence and other complications. However, the monitoring of deep surgical sites is typically limited to indirect observations or to costly radiological investigations that often fail to detect complications before they become severe. Bioelectronic sensors could provide accurate and continuous monitoring from within the body, but the form factors of existing devices are not amenable to integration with sensitive wound tissues and to wireless data transmission. Here we show that multifilament surgical sutures functionalized with a conductive polymer and incorporating pledgets with capacitive sensors operated via radiofrequency identification can be used to monitor physicochemical states of deep surgical sites. We show in live pigs that the sutures can monitor wound integrity, gastric leakage and tissue micromotions, and in rodents that the healing outcomes are equivalent to those of medical-grade sutures. Battery-free wirelessly operated bioelectronic sutures may facilitate post-surgical monitoring in a wide range of interventions.
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Affiliation(s)
- Viveka Kalidasan
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore.
| | - Xin Yang
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
| | - Ze Xiong
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore. .,Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore. .,The N.1 Institute for Health, National University of Singapore, Singapore, Singapore.
| | - Renee R Li
- Cardiovascular Research Institute, National University Heart Centre, Singapore, Singapore.,Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Haicheng Yao
- Department of Materials Science and Engineering, National University of Singapore, Singapore, Singapore
| | - Hareesh Godaba
- Department of Materials Science and Engineering, National University of Singapore, Singapore, Singapore
| | - Sybil Obuobi
- Department of Pharmacy, National University of Singapore, Singapore, Singapore.,Drug Transport and Delivery Research Group, Department of Pharmacy, Faculty of Health Sciences, UiT-The Arctic University of Norway, Tromsø, Norway
| | - Priti Singh
- Faculty of Dentistry, National University of Singapore, Singapore, Singapore
| | - Xin Guan
- Department of Materials Science and Engineering, National University of Singapore, Singapore, Singapore
| | - Xi Tian
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
| | - Selman A Kurt
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
| | - Zhipeng Li
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
| | - Devika Mukherjee
- Department of Pharmacy, National University of Singapore, Singapore, Singapore
| | - Ravisankar Rajarethinam
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, Singapore
| | - Choon Seng Chong
- Department of Surgery, National University Hospital, Singapore, Singapore
| | - Jiong-Wei Wang
- Cardiovascular Research Institute, National University Heart Centre, Singapore, Singapore.,Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Nanomedicine Translational Research Programme, Centre for NanoMedicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Pui Lai Rachel Ee
- Department of Pharmacy, National University of Singapore, Singapore, Singapore
| | - Weiqiang Loke
- Faculty of Dentistry, National University of Singapore, Singapore, Singapore
| | - Benjamin C K Tee
- Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore.,The N.1 Institute for Health, National University of Singapore, Singapore, Singapore.,Department of Materials Science and Engineering, National University of Singapore, Singapore, Singapore
| | - Jianyong Ouyang
- Department of Materials Science and Engineering, National University of Singapore, Singapore, Singapore
| | - Christopher J Charles
- Cardiovascular Research Institute, National University Heart Centre, Singapore, Singapore.,Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Christchurch Heart Institute, Department of Medicine, University of Otago, Christchurch, New Zealand
| | - John S Ho
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore. .,Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore. .,The N.1 Institute for Health, National University of Singapore, Singapore, Singapore.
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25
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Burton A, Won SM, Sohrabi AK, Stuart T, Amirhossein A, Kim JU, Park Y, Gabros A, Rogers JA, Vitale F, Richardson AG, Gutruf P. Wireless, battery-free, and fully implantable electrical neurostimulation in freely moving rodents. Microsyst Nanoeng 2021; 7:62. [PMID: 34567774 PMCID: PMC8433476 DOI: 10.1038/s41378-021-00294-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 06/25/2021] [Accepted: 07/08/2021] [Indexed: 05/04/2023]
Abstract
Implantable deep brain stimulation (DBS) systems are utilized for clinical treatment of diseases such as Parkinson's disease and chronic pain. However, long-term efficacy of DBS is limited, and chronic neuroplastic changes and associated therapeutic mechanisms are not well understood. Fundamental and mechanistic investigation, typically accomplished in small animal models, is difficult because of the need for chronic stimulators that currently require either frequent handling of test subjects to charge battery-powered systems or specialized setups to manage tethers that restrict experimental paradigms and compromise insight. To overcome these challenges, we demonstrate a fully implantable, wireless, battery-free platform that allows for chronic DBS in rodents with the capability to control stimulation parameters digitally in real time. The devices are able to provide stimulation over a wide range of frequencies with biphasic pulses and constant voltage control via low-impedance, surface-engineered platinum electrodes. The devices utilize off-the-shelf components and feature the ability to customize electrodes to enable broad utility and rapid dissemination. Efficacy of the system is demonstrated with a readout of stimulation-evoked neural activity in vivo and chronic stimulation of the medial forebrain bundle in freely moving rats to evoke characteristic head motion for over 36 days.
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Affiliation(s)
- Alex Burton
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ 85721 USA
| | - Sang Min Won
- Department of Electrical and Computer Engineering, Sungkyunkwan University (SKKU), Suwon, 16419 Republic of Korea
| | - Arian Kolahi Sohrabi
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - Tucker Stuart
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ 85721 USA
| | - Amir Amirhossein
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ 85721 USA
| | - Jong Uk Kim
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208 USA
| | - Yoonseok Park
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208 USA
| | - Andrew Gabros
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - John A. Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208 USA
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208 USA
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208 USA
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208 USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208 USA
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611 USA
| | - Flavia Vitale
- Department of Neurology, Bioengineering, Physical Medicine & Rehabilitation, Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - Andrew G. Richardson
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - Philipp Gutruf
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ 85721 USA
- Bio5 Institute and Neuroscience GIDP, University of Arizona, Tucson, AZ 85721 USA
- Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721 USA
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26
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Martin-Monier L, Piveteau PL, Sorin F. Novel insights into the design of stretchable electrical systems. Sci Adv 2021; 7:eabf7558. [PMID: 34215583 PMCID: PMC11059937 DOI: 10.1126/sciadv.abf7558] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Accepted: 05/21/2021] [Indexed: 06/13/2023]
Abstract
Soft electronics have recently gathered considerable interest because of their biomechanical compatibility. An important feature of deformable conductors is their electrical response to strain. While development of stretchable materials with high gauge factors has attracted considerable attention, there is a growing need for stretchable conductors whose response to deformation can be accurately engineered to provide arbitrary resistance-strain relationships. Rare studies addressing this issue have focused on deterministic geometries of single rigid materials, limiting the scope of these strategies. We introduce the novel concept of periodic stretchable patterns combining multiple conductive materials to produce tailored responses. Using shortest path algorithms, we establish a computationally efficient selection method to obtain the required resistance-strain relationship. Using this algorithm, we identify and experimentally demonstrate constant resistance-strain responses up to 50% elongation using a single microtextured material. Last, we demonstrate counterintuitive sinusoidal responses by integrating three materials, with interesting applications in sensing and soft robotics.
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Affiliation(s)
- Louis Martin-Monier
- Laboratory of Photonic Materials and Fiber Devices, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Pierre-Luc Piveteau
- Laboratory of Photonic Materials and Fiber Devices, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Fabien Sorin
- Laboratory of Photonic Materials and Fiber Devices, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
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27
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Hoang VC, Shafaat A, Jankovskaja S, Gomes VG, Ruzgas T. Franz cells for facile biosensor evaluation: A case of HRP/SWCNT-based hydrogen peroxide detection via amperometric and wireless modes. Biosens Bioelectron 2021; 191:113420. [PMID: 34182432 DOI: 10.1016/j.bios.2021.113420] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Revised: 06/01/2021] [Accepted: 06/05/2021] [Indexed: 12/26/2022]
Abstract
Reducing animal use in biosensor research requires broader use of in vitro methods. In this work, we present a novel application of Franz cells suitable for biosensor development and evaluation in vitro. The work describes how Franz cell can be equipped with electrodes enabling characterization of biosensors in close proximity to skin. As an example of a sensor, hydrogen peroxide biosensor was prepared based on horseradish peroxidase (HRP)/single-walled carbon nanotube (SWCNT)-modified textile. The electrode exhibited lower detection limit of 0.3 μM and sensitivity of 184 μA mM-1 cm-2. The ability of this biosensor to monitor H2O2 penetration through skin and dialysis membranes was evaluated in Franz cell setup in amperometric and wireless modes. The results also show that catalase activity present in skin is a considerable problem for epidermal sensing of H2O2. This work highlights opportunities and obstacles that can be addressed by assessment of biosensors in Franz cell setup before progressing to their testing in animals and humans.
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Affiliation(s)
- Van Chinh Hoang
- Department of Biomedical Science, Faculty of Health and Society, Malmö University, SE-205 06, Malmö, Sweden; Biofilms - Research Center for Biointerfaces, Malmö University, SE-205 06, Malmö, Sweden; The University of Sydney, School of Chemical and Biomolecular Engineering, NSW, 2006, Australia
| | - Atefeh Shafaat
- Department of Biomedical Science, Faculty of Health and Society, Malmö University, SE-205 06, Malmö, Sweden; Biofilms - Research Center for Biointerfaces, Malmö University, SE-205 06, Malmö, Sweden
| | - Skaidre Jankovskaja
- Department of Biomedical Science, Faculty of Health and Society, Malmö University, SE-205 06, Malmö, Sweden; Biofilms - Research Center for Biointerfaces, Malmö University, SE-205 06, Malmö, Sweden
| | - Vincent G Gomes
- The University of Sydney, School of Chemical and Biomolecular Engineering, NSW, 2006, Australia.
| | - Tautgirdas Ruzgas
- Department of Biomedical Science, Faculty of Health and Society, Malmö University, SE-205 06, Malmö, Sweden; Biofilms - Research Center for Biointerfaces, Malmö University, SE-205 06, Malmö, Sweden.
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28
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Suresh Kumar N, Naidu KCB, Banerjee P, Anil Babu T, Venkata Shiva Reddy B. A Review on Metamaterials for Device Applications. Crystals 2021; 11:518. [DOI: 10.3390/cryst11050518] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Metamaterials are the major type of artificially engineered materials which exhibit naturally unobtainable properties according to how their microarchitectures are engineered. Owing to their unique and controllable effective properties, including electric permittivity and magnetic permeability, the metamaterials play a vital role in the development of meta-devices. Therefore, the recent research has mainly focused on shifting towards achieving tunable, switchable, nonlinear, and sensing functionalities. In this review, we summarize the recent progress in terahertz, microwave electromagnetic, and photonic metamaterials, and their applications. The review also encompasses the role of metamaterials in the advancement of microwave sensors, photonic devices, antennas, energy harvesting, and superconducting quantum interference devices (SQUIDs).
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29
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Seymour I, Narayan T, Creedon N, Kennedy K, Murphy A, Sayers R, Kennedy E, O'Connell I, Rohan JF, O'Riordan A. Advanced Solid State Nano-Electrochemical Sensors and System for Agri 4.0 Applications. Sensors (Basel) 2021; 21:3149. [PMID: 34062887 DOI: 10.3390/s21093149] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 04/28/2021] [Accepted: 04/29/2021] [Indexed: 12/25/2022]
Abstract
Global food production needs to increase in order to meet the demands of an ever growing global population. As resources are finite, the most feasible way to meet this demand is to minimize losses and improve efficiency. Regular monitoring of factors like animal health, soil and water quality for example, can ensure that the resources are being used to their maximum efficiency. Existing monitoring techniques however have limitations, such as portability, turnaround time and requirement for additional reagents. In this work, we explore the use of micro- and nano-scale electrode devices, for the development of an electrochemical sensing platform to digitalize a wide range of applications within the agri-food sector. With this platform, we demonstrate the direct electrochemical detection of pesticides, specifically clothianidin and imidacloprid, with detection limits of 0.22 ng/mL and 2.14 ng/mL respectively, and nitrates with a detection limit of 0.2 µM. In addition, interdigitated electrode structures also enable an in-situ pH control technique to mitigate pH as an interference and modify analyte response. This technique is applied to the analysis of monochloramine, a common water disinfectant. Concerning biosensing, the sensors are modified with bio-molecular probes for the detection of both bovine viral diarrhea virus species and antibodies, over a range of 1 ng/mL to 10 µg/mL. Finally, a portable analogue front end electronic reader is developed to allow portable sensing, with control and readout undertaken using a smart phone application. Finally, the sensor chip platform is integrated with these electronics to provide a fully functional end-to-end smart sensor system compatible with emerging Agri-Food digital decision support tools.
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