Pub Date : 2023-12-01DOI: 10.1016/j.device.2023.100180
Jian Chen, Keju Ji, Chi Xu, Jiahui Zhao, Tingwei Huo, Yi Song, Stanislav N. Gorb, Yi Long, Zhendong Dai
{"title":"Robust and reversible adhesion under extreme thermal conditions","authors":"Jian Chen, Keju Ji, Chi Xu, Jiahui Zhao, Tingwei Huo, Yi Song, Stanislav N. Gorb, Yi Long, Zhendong Dai","doi":"10.1016/j.device.2023.100180","DOIUrl":"https://doi.org/10.1016/j.device.2023.100180","url":null,"abstract":"","PeriodicalId":101324,"journal":{"name":"Device","volume":"148 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138991390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Traditional metal detectors are relatively expensive, bulky, and inflexible, and they require an external power source; all of this limits their usage. Here, we present a self-powered wireless metal detector enabled by the triboelectric discharge effect, inductive coupling, and a signal modulation strategy. The device can convert mechanical triggers into wireless electromagnetic waves that contain information on nearby metals. Based on this strategy, we fabricated two prototypes with different sizes and different trigger modes, thus showing the capabilities and scalability for metal detection under different scenarios. In addition, because of the differences in the waveforms of the electromagnetic (EM) waves triggered by different types of metal, the device can also recognize the type of metal with the assistance of a trained machine learning model.
{"title":"A flexible lightweight self-powered wireless metal detector enabled by triboelectric discharge effect","authors":"Haoyu Wang, Xin Xia, Jingjing Fu, Ziwu Song, Wenbo Ding, Yuan Dai, Yunlong Zi","doi":"10.1016/j.device.2023.100127","DOIUrl":"https://doi.org/10.1016/j.device.2023.100127","url":null,"abstract":"Traditional metal detectors are relatively expensive, bulky, and inflexible, and they require an external power source; all of this limits their usage. Here, we present a self-powered wireless metal detector enabled by the triboelectric discharge effect, inductive coupling, and a signal modulation strategy. The device can convert mechanical triggers into wireless electromagnetic waves that contain information on nearby metals. Based on this strategy, we fabricated two prototypes with different sizes and different trigger modes, thus showing the capabilities and scalability for metal detection under different scenarios. In addition, because of the differences in the waveforms of the electromagnetic (EM) waves triggered by different types of metal, the device can also recognize the type of metal with the assistance of a trained machine learning model.","PeriodicalId":101324,"journal":{"name":"Device","volume":"38 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135510176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Passive thermal management strategies are one of the most promising ways to reduce energy consumption for intermittent heat dissipation. However, the existing strategies encounter tough obstacles on their way to commercialization due to their low efficiencies and high costs. Herein, we propose a passive thermal management strategy that relies on moisture desorption from hygroscopic salt solutions through a protective membrane that only allows water vapor to pass through; importantly, it can spontaneously recover cooling capacity during off hours. We selected lithium bromide as a cost-effective sorbent while avoiding crystallization. Outstandingly, the strategy can provide an effective cooling capacity (ΔTmax = 11.5°C) for ∼400 min, while the measured heat flux can reach 75 kW/m2. By employing the strategy in a real computing device, its performance is improved by 32.65% with a record-high cost effectiveness. The strategy can be useful for various applications that need intermittent thermal regulation, with few technological barriers.
{"title":"Membrane-encapsulated, moisture-desorptive passive cooling for high-performance, ultra-low-cost, and long-duration electronics thermal management","authors":"Zengguang Sui, Yunren Sui, Zhixiong Ding, Haosheng Lin, Fuxiang Li, Ronggui Yang, Wei Wu","doi":"10.1016/j.device.2023.100121","DOIUrl":"https://doi.org/10.1016/j.device.2023.100121","url":null,"abstract":"Passive thermal management strategies are one of the most promising ways to reduce energy consumption for intermittent heat dissipation. However, the existing strategies encounter tough obstacles on their way to commercialization due to their low efficiencies and high costs. Herein, we propose a passive thermal management strategy that relies on moisture desorption from hygroscopic salt solutions through a protective membrane that only allows water vapor to pass through; importantly, it can spontaneously recover cooling capacity during off hours. We selected lithium bromide as a cost-effective sorbent while avoiding crystallization. Outstandingly, the strategy can provide an effective cooling capacity (ΔTmax = 11.5°C) for ∼400 min, while the measured heat flux can reach 75 kW/m2. By employing the strategy in a real computing device, its performance is improved by 32.65% with a record-high cost effectiveness. The strategy can be useful for various applications that need intermittent thermal regulation, with few technological barriers.","PeriodicalId":101324,"journal":{"name":"Device","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136128677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.1016/j.device.2023.100097
Brandon Rios, Angel Bu, Tara Sheehan, Hiba Kobeissi, Sonika Kohli, Karina Shah, Emma Lejeune, Ritu Raman
The hierarchical design and adaptive functionalities of biological tissues are driven by dynamic biochemical, electrical, and mechanical signaling between cells and their extracellular matrices. While existing tools enable monitoring and controlling biochemical and electrical signaling in multicellular systems, there is a significant need for techniques that enable mapping and modulating intercellular mechanical signaling. We have developed a magnetically actuated extracellular matrix that serves as a mechanically active substrate for cells and can program morphological and functional anisotropy in tissues such as skeletal muscle. This method improves the ease and efficiency of programming muscle force directionality and synchronicity for applications ranging from medicine to robotics. Additionally, we present an open-source computational framework enabling quantitative analyses of muscle contractility. Our actuating matrices and accompanying tools are broadly applicable across cell types and hydrogel chemistries, and they can drive fundamental studies in mechanobiology as well as translational applications of engineered tissues in medicine and machines.
{"title":"Mechanically programming anisotropy in engineered muscle with actuating extracellular matrices","authors":"Brandon Rios, Angel Bu, Tara Sheehan, Hiba Kobeissi, Sonika Kohli, Karina Shah, Emma Lejeune, Ritu Raman","doi":"10.1016/j.device.2023.100097","DOIUrl":"https://doi.org/10.1016/j.device.2023.100097","url":null,"abstract":"The hierarchical design and adaptive functionalities of biological tissues are driven by dynamic biochemical, electrical, and mechanical signaling between cells and their extracellular matrices. While existing tools enable monitoring and controlling biochemical and electrical signaling in multicellular systems, there is a significant need for techniques that enable mapping and modulating intercellular mechanical signaling. We have developed a magnetically actuated extracellular matrix that serves as a mechanically active substrate for cells and can program morphological and functional anisotropy in tissues such as skeletal muscle. This method improves the ease and efficiency of programming muscle force directionality and synchronicity for applications ranging from medicine to robotics. Additionally, we present an open-source computational framework enabling quantitative analyses of muscle contractility. Our actuating matrices and accompanying tools are broadly applicable across cell types and hydrogel chemistries, and they can drive fundamental studies in mechanobiology as well as translational applications of engineered tissues in medicine and machines.","PeriodicalId":101324,"journal":{"name":"Device","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135996623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.1016/j.device.2023.100116
Ioanna Bakaimi, Ritu Raman
Professor Ritu Raman is a mechanical engineer at the Massachusetts Institute of Technology, where her work focuses on the development of soft robots using biological materials. The following discussion focuses on her group’s recent work published in Device and presents a magnetically actuated extracellular matrix that can be used to program morphological and functional anisotropy in tissues such as skeletal muscles. Importantly, this work highlights the potential to control a wide range of hydrogel chemistries for modulating complex multicellular tissues using magnetic forces.
{"title":"Magnetic matrix actuation for programming tissues","authors":"Ioanna Bakaimi, Ritu Raman","doi":"10.1016/j.device.2023.100116","DOIUrl":"https://doi.org/10.1016/j.device.2023.100116","url":null,"abstract":"Professor Ritu Raman is a mechanical engineer at the Massachusetts Institute of Technology, where her work focuses on the development of soft robots using biological materials. The following discussion focuses on her group’s recent work published in Device and presents a magnetically actuated extracellular matrix that can be used to program morphological and functional anisotropy in tissues such as skeletal muscles. Importantly, this work highlights the potential to control a wide range of hydrogel chemistries for modulating complex multicellular tissues using magnetic forces.","PeriodicalId":101324,"journal":{"name":"Device","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136007672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.1016/j.device.2023.100068
Alexander G. Yearley, Ruchit V. Patel, Sarah E. Blitz, Sarah Park, Alexander M. Madinger, Jason Li, Benjamin R. Johnston, Pier Paolo Peruzzi, SeungHo Lee, Shriya S. Srinivasan, Joshua D. Bernstock
Despite extensive research investment, malignant brain tumors continue to be associated with significant morbidity and mortality. Implantable microdevices placed directly in the central nervous system (CNS) represent a promising area of investigation in neuro-oncology. In this review, we provide an overview of the control mechanisms, release kinetics, outcomes, strengths, and limitations of implantable microdevices in clinical and laboratory studies. Eight implantable microdevices that delivered various compounds, including chemotherapy, immunotherapy, and nitric oxide, were identified. Device control functions varied from no control after implantation to active coordination of the release of multiple drugs at different rates. We find that, although the devices can reliably deliver therapeutic compounds to the tumor site, their efficacy in terms of prolonging survival and achieving durable remission remains modest. Our findings reveal a critical narrative that emphasizes the unsolved barriers impeding clinical success of implantable microdevices in neuro-oncology.
{"title":"Implantable microdevices for treating brain tumors","authors":"Alexander G. Yearley, Ruchit V. Patel, Sarah E. Blitz, Sarah Park, Alexander M. Madinger, Jason Li, Benjamin R. Johnston, Pier Paolo Peruzzi, SeungHo Lee, Shriya S. Srinivasan, Joshua D. Bernstock","doi":"10.1016/j.device.2023.100068","DOIUrl":"https://doi.org/10.1016/j.device.2023.100068","url":null,"abstract":"Despite extensive research investment, malignant brain tumors continue to be associated with significant morbidity and mortality. Implantable microdevices placed directly in the central nervous system (CNS) represent a promising area of investigation in neuro-oncology. In this review, we provide an overview of the control mechanisms, release kinetics, outcomes, strengths, and limitations of implantable microdevices in clinical and laboratory studies. Eight implantable microdevices that delivered various compounds, including chemotherapy, immunotherapy, and nitric oxide, were identified. Device control functions varied from no control after implantation to active coordination of the release of multiple drugs at different rates. We find that, although the devices can reliably deliver therapeutic compounds to the tumor site, their efficacy in terms of prolonging survival and achieving durable remission remains modest. Our findings reveal a critical narrative that emphasizes the unsolved barriers impeding clinical success of implantable microdevices in neuro-oncology.","PeriodicalId":101324,"journal":{"name":"Device","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136010191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.1016/j.device.2023.100113
Han Cui, Su Zhao, Guosong Hong
Conventional electrical neuromodulation techniques are constrained by the need for invasive implants in neural tissues, whereas methods using optogenetics are subjected to genetic alterations and hampered by the poor tissue penetration of visible light. Photovoltaic neuromodulation using light from the second near-infrared (NIR-II) spectrum, which minimizes scattering and enhances tissue penetration, shows promise as an alternative to existing neuromodulation technologies. NIR-II light has been used in deep-tissue imaging and in deep-brain photothermal neuromodulation via nanotransducers. This perspective provides an overview for the underpinning mechanisms of photovoltaic neuromodulation and identifies avenues for future research in materials science and bioengineering that can further advance NIR-II photovoltaic neuromodulation methods.
{"title":"Wireless deep-brain neuromodulation using photovoltaics in the second near-infrared spectrum","authors":"Han Cui, Su Zhao, Guosong Hong","doi":"10.1016/j.device.2023.100113","DOIUrl":"https://doi.org/10.1016/j.device.2023.100113","url":null,"abstract":"Conventional electrical neuromodulation techniques are constrained by the need for invasive implants in neural tissues, whereas methods using optogenetics are subjected to genetic alterations and hampered by the poor tissue penetration of visible light. Photovoltaic neuromodulation using light from the second near-infrared (NIR-II) spectrum, which minimizes scattering and enhances tissue penetration, shows promise as an alternative to existing neuromodulation technologies. NIR-II light has been used in deep-tissue imaging and in deep-brain photothermal neuromodulation via nanotransducers. This perspective provides an overview for the underpinning mechanisms of photovoltaic neuromodulation and identifies avenues for future research in materials science and bioengineering that can further advance NIR-II photovoltaic neuromodulation methods.","PeriodicalId":101324,"journal":{"name":"Device","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135964126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.1016/j.device.2023.100115
Shakti P. Padhy, Sergei V. Kalinin
Domain-specific hyper-languages are pivotal for enhancing collaboration between machines, large language models, and humans. In this issue of Device, Esvelt and co-workers present PyLabRobot, an open-source hyper-language framework, emphasizing its role in ensuring seamless communication between diverse robotic systems and lab equipment. We posit that such domain-specific hyper-languages are essential in revolutionizing research practices and accelerating scientific discoveries by streamlining and democratizing automation processes.
{"title":"Domain hyper-languages bring robots together and enable the machine learning community","authors":"Shakti P. Padhy, Sergei V. Kalinin","doi":"10.1016/j.device.2023.100115","DOIUrl":"https://doi.org/10.1016/j.device.2023.100115","url":null,"abstract":"Domain-specific hyper-languages are pivotal for enhancing collaboration between machines, large language models, and humans. In this issue of Device, Esvelt and co-workers present PyLabRobot, an open-source hyper-language framework, emphasizing its role in ensuring seamless communication between diverse robotic systems and lab equipment. We posit that such domain-specific hyper-languages are essential in revolutionizing research practices and accelerating scientific discoveries by streamlining and democratizing automation processes.","PeriodicalId":101324,"journal":{"name":"Device","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136008025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.1016/j.device.2023.100103
Inkyu Oh, Michael A. Pence, Nikita G. Lukhanin, Oliver Rodríguez, Charles M. Schroeder, Joaquín Rodríguez-López
Electrochemical characterization of redox-active molecules in solution requires exploration of manifold conditions (e.g., concentration, electrolyte type, pH, ionic strength), leading to tedious and time-consuming experiments that are prone to user error. Here, we introduce the Electrolab, a modular, automated electrochemical characterization platform that seamlessly interfaces with common laboratory instrumentation and low-cost electromechanical components. We integrated a gantry-type robot carrying a multipurpose nozzle assembly to dispense and mix solutions as well as degas and clean a cell containing multiplexed microelectrochemical arrays. The system operates using Python code and a universal Arduino-based controller. We demonstrate the Electrolab by autonomously analyzing a redox mediator by performing 200 voltammograms and data analysis steps across a range of conditions. In addition, the Electrolab is used to titrate a redox-active polymer solution to identify conditions for optimizing electrochemical performance. Overall, the Electrolab device enables high-throughput, systematic exploration of redox electrolytes, opening new avenues for closed-loop optimization.
{"title":"The Electrolab: An open-source, modular platform for automated characterization of redox-active electrolytes","authors":"Inkyu Oh, Michael A. Pence, Nikita G. Lukhanin, Oliver Rodríguez, Charles M. Schroeder, Joaquín Rodríguez-López","doi":"10.1016/j.device.2023.100103","DOIUrl":"https://doi.org/10.1016/j.device.2023.100103","url":null,"abstract":"Electrochemical characterization of redox-active molecules in solution requires exploration of manifold conditions (e.g., concentration, electrolyte type, pH, ionic strength), leading to tedious and time-consuming experiments that are prone to user error. Here, we introduce the Electrolab, a modular, automated electrochemical characterization platform that seamlessly interfaces with common laboratory instrumentation and low-cost electromechanical components. We integrated a gantry-type robot carrying a multipurpose nozzle assembly to dispense and mix solutions as well as degas and clean a cell containing multiplexed microelectrochemical arrays. The system operates using Python code and a universal Arduino-based controller. We demonstrate the Electrolab by autonomously analyzing a redox mediator by performing 200 voltammograms and data analysis steps across a range of conditions. In addition, the Electrolab is used to titrate a redox-active polymer solution to identify conditions for optimizing electrochemical performance. Overall, the Electrolab device enables high-throughput, systematic exploration of redox electrolytes, opening new avenues for closed-loop optimization.","PeriodicalId":101324,"journal":{"name":"Device","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135606888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Implantable devices hold promise for revolutionizing personalized healthcare, but the inherent invasiveness of implantation surgeries, among other obstacles, hinders their widespread application. In this work, we present an implantable wireless glucose monitor made with on shape-memory electronic device (SMED) that can be implanted with minimal invasiveness. The device is fabricated by printing an inductive-capacitive (LC) circuit and a poly(3-aminophenylboronic acid) (PAPBA)/glucose oxidase (GOx)/graphene oxide (GO) sensing layer on a shape-memory poly(D,L-lactide-co-caprolactone)-based (PCLAU) layer. To demonstrate, the glucose monitor was rolled up, injected into mice using a syringe, and later recovered to its original planar shape under mild thermal stimulations. The biocompatible SMED has high sensitivity, specificity, and reversible sensing characteristics with a broad linear detection range, providing an accurate and reliable platform for in vivo continuous glucose monitoring. This strategy reduces the wound area by ∼73% and the required healing time by ∼45%, thus effectively addressing the general problem faced by implantable devices.
植入式设备有望彻底改变个性化医疗保健，但植入式手术固有的侵入性，以及其他障碍，阻碍了它们的广泛应用。在这项工作中，我们提出了一种由形状记忆电子设备(SMED)制成的植入式无线血糖监测仪，可以以最小的侵入性植入。该器件是通过在基于形状记忆的聚(D, l -乳酸-co-己内酯)(PCLAU)层上打印电感-电容(LC)电路和聚(3-氨基苯基硼酸)(PAPBA)/葡萄糖氧化酶(GOx)/氧化石墨烯(GO)传感层来制造的。为了证明这一点，将葡萄糖监测仪卷起来，用注射器注射到小鼠体内，随后在轻度热刺激下恢复到原来的平面形状。该生物相容性SMED具有高灵敏度、特异度和可逆传感特性，线性检测范围广，为体内连续血糖监测提供了准确可靠的平台。该策略将伤口面积减少了约73%，所需的愈合时间减少了约45%，从而有效地解决了植入式装置面临的一般问题。
{"title":"Injectable miniaturized shape-memory electronic device for continuous glucose monitoring","authors":"Kang Jiang, Haiyan Wang, Yanyang Long, Yuxin Han, Heng Zhang, Qunhong Weng","doi":"10.1016/j.device.2023.100117","DOIUrl":"https://doi.org/10.1016/j.device.2023.100117","url":null,"abstract":"Implantable devices hold promise for revolutionizing personalized healthcare, but the inherent invasiveness of implantation surgeries, among other obstacles, hinders their widespread application. In this work, we present an implantable wireless glucose monitor made with on shape-memory electronic device (SMED) that can be implanted with minimal invasiveness. The device is fabricated by printing an inductive-capacitive (LC) circuit and a poly(3-aminophenylboronic acid) (PAPBA)/glucose oxidase (GOx)/graphene oxide (GO) sensing layer on a shape-memory poly(D,L-lactide-co-caprolactone)-based (PCLAU) layer. To demonstrate, the glucose monitor was rolled up, injected into mice using a syringe, and later recovered to its original planar shape under mild thermal stimulations. The biocompatible SMED has high sensitivity, specificity, and reversible sensing characteristics with a broad linear detection range, providing an accurate and reliable platform for in vivo continuous glucose monitoring. This strategy reduces the wound area by ∼73% and the required healing time by ∼45%, thus effectively addressing the general problem faced by implantable devices.","PeriodicalId":101324,"journal":{"name":"Device","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136059418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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