Bioelectronics with Topological Crosslinked Networks for Tactile Perception
Abstract Bioelectronics, which integrate biological systems with electronic components, have attracted significant attention in developing biomimetic materials and advanced hardware architectures to enable novel information‐processing systems, sensors, and actuators. However, the rigidity of conjuga...
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| Format: | Article |
| Language: | English |
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Wiley-VCH
2025-05-01
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| Series: | Advanced Physics Research |
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| Online Access: | https://doi.org/10.1002/apxr.202400165 |
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| author | Mingqi Ding Pengshan Xie Johnny C. Ho |
| author_facet | Mingqi Ding Pengshan Xie Johnny C. Ho |
| author_sort | Mingqi Ding |
| collection | DOAJ |
| description | Abstract Bioelectronics, which integrate biological systems with electronic components, have attracted significant attention in developing biomimetic materials and advanced hardware architectures to enable novel information‐processing systems, sensors, and actuators. However, the rigidity of conjugated molecular systems and the lack of reconfigurability in static crosslinked structures pose significant challenges for flexible sensing applications. Topological crosslinked networks (TCNs) featuring dynamic molecular interactions offer enhanced molecular flexibility and environmentally induced reconfigurability, decoupling the competition between performances. Here, recent advances are summarized in assembly methods of bioelectronics with different TCNs and elaborate ion/electron‐transport mechanisms from the perspective of molecular interactions. Decoupling effects can be achieved by comparing distinct TCNs and their respective properties, and an outlook is provided on a new range of neuromorphic hardware with biocompatibility, self‐healing, self‐powered, and multimodal‐sensing capabilities. The development of TCN‐based bioelectronics can significantly impact the fields of artificial neuromorphic perception devices, networks, and systems. |
| format | Article |
| id | doaj-art-064389d4454b4a1fa9780dde2200e471 |
| institution | Kabale University |
| issn | 2751-1200 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Wiley-VCH |
| record_format | Article |
| series | Advanced Physics Research |
| spelling | doaj-art-064389d4454b4a1fa9780dde2200e4712025-08-20T03:48:47ZengWiley-VCHAdvanced Physics Research2751-12002025-05-0145n/an/a10.1002/apxr.202400165Bioelectronics with Topological Crosslinked Networks for Tactile PerceptionMingqi Ding0Pengshan Xie1Johnny C. Ho2Department of Materials Science and EngineeringCity University of Hong KongKowloon Hong Kong SAR 999077 ChinaDepartment of Materials Science and EngineeringCity University of Hong KongKowloon Hong Kong SAR 999077 ChinaDepartment of Materials Science and EngineeringCity University of Hong KongKowloon Hong Kong SAR 999077 ChinaAbstract Bioelectronics, which integrate biological systems with electronic components, have attracted significant attention in developing biomimetic materials and advanced hardware architectures to enable novel information‐processing systems, sensors, and actuators. However, the rigidity of conjugated molecular systems and the lack of reconfigurability in static crosslinked structures pose significant challenges for flexible sensing applications. Topological crosslinked networks (TCNs) featuring dynamic molecular interactions offer enhanced molecular flexibility and environmentally induced reconfigurability, decoupling the competition between performances. Here, recent advances are summarized in assembly methods of bioelectronics with different TCNs and elaborate ion/electron‐transport mechanisms from the perspective of molecular interactions. Decoupling effects can be achieved by comparing distinct TCNs and their respective properties, and an outlook is provided on a new range of neuromorphic hardware with biocompatibility, self‐healing, self‐powered, and multimodal‐sensing capabilities. The development of TCN‐based bioelectronics can significantly impact the fields of artificial neuromorphic perception devices, networks, and systems.https://doi.org/10.1002/apxr.202400165artificial tactile neuronsbioelectronicsion/electronic transporttopological crosslinked network |
| spellingShingle | Mingqi Ding Pengshan Xie Johnny C. Ho Bioelectronics with Topological Crosslinked Networks for Tactile Perception Advanced Physics Research artificial tactile neurons bioelectronics ion/electronic transport topological crosslinked network |
| title | Bioelectronics with Topological Crosslinked Networks for Tactile Perception |
| title_full | Bioelectronics with Topological Crosslinked Networks for Tactile Perception |
| title_fullStr | Bioelectronics with Topological Crosslinked Networks for Tactile Perception |
| title_full_unstemmed | Bioelectronics with Topological Crosslinked Networks for Tactile Perception |
| title_short | Bioelectronics with Topological Crosslinked Networks for Tactile Perception |
| title_sort | bioelectronics with topological crosslinked networks for tactile perception |
| topic | artificial tactile neurons bioelectronics ion/electronic transport topological crosslinked network |
| url | https://doi.org/10.1002/apxr.202400165 |
| work_keys_str_mv | AT mingqiding bioelectronicswithtopologicalcrosslinkednetworksfortactileperception AT pengshanxie bioelectronicswithtopologicalcrosslinkednetworksfortactileperception AT johnnycho bioelectronicswithtopologicalcrosslinkednetworksfortactileperception |