Photochemically driven one-step triple dynamic network formation in printable tough hydrogel for self-healing tubular sensors
Self-healing hydrogels have attracted widespread attention due to their excellent biocompatibility, mechanical properties, and reparability. However, it is still a challenge to construct in one step printable self-healing tough hydrogels (PSHTHs), which limits their advanced application. Here, we re...
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Veröffentlicht in: | Polymer chemistry 2023-03, Vol.14 (13), p.1536-1542 |
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description | Self-healing hydrogels have attracted widespread attention due to their excellent biocompatibility, mechanical properties, and reparability. However, it is still a challenge to construct in one step printable self-healing tough hydrogels (PSHTHs), which limits their advanced application. Here, we report a photochemically driven dynamic multinetwork formation (PDDMF) strategy for the one-step design of high-performance multinetwork PSHTHs. Orthogonal ruthenium photochemistry helps in the simultaneous formation of multiple covalent and dynamic networks in ∼10 s. Triple dynamic networks of PSHTHs improve their mechanical performance and enable them to have excellent self-healing ability. These reversible hydrogen-bonded and ionically crosslinked networks could be healed in around 3 s after being destroyed at large shear strains (1000%). Also, PSHTHs exhibit 90% self-healing efficiency after multiple instances of mechanical damage and have mechanical performances similar to those of fresh samples. More importantly, this PDDMF strategy is controlled by simply adjusting the irradiation procedures and is compatible with standard extrusion printing technology to make complex 3D structures. As a proof-of-concept, highly sensitive tubular sensors are designed to detect environmental pressures anisotropically. It is anticipated that this PDDMF strategy and the as-prepared PSHTHs have potential applications in fabricating high-performance self-healing wearable devices, sensors, and bioelectronics.
Self-healing hydrogels have attracted widespread attention due to their excellent biocompatibility, mechanical properties, and reparability. |
doi_str_mv | 10.1039/d3py00093a |
format | Article |
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Self-healing hydrogels have attracted widespread attention due to their excellent biocompatibility, mechanical properties, and reparability.</description><identifier>ISSN: 1759-9954</identifier><identifier>EISSN: 1759-9962</identifier><identifier>DOI: 10.1039/d3py00093a</identifier><language>eng</language><publisher>Cambridge: Royal Society of Chemistry</publisher><subject>Biocompatibility ; Hydrogels ; Hydrogen bonding ; Mechanical properties ; Network formation ; Photochemistry ; Polymer chemistry ; Ruthenium ; Sensors ; Shear strain ; Wearable technology</subject><ispartof>Polymer chemistry, 2023-03, Vol.14 (13), p.1536-1542</ispartof><rights>Copyright Royal Society of Chemistry 2023</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c281t-787fcc43d65be994748b5b2e32fcbc01cc4b7f9c8eeab67d94260efc795fe9d13</citedby><cites>FETCH-LOGICAL-c281t-787fcc43d65be994748b5b2e32fcbc01cc4b7f9c8eeab67d94260efc795fe9d13</cites><orcidid>0000-0002-9352-3964</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Sun, Liwei</creatorcontrib><creatorcontrib>Lu, Zhe</creatorcontrib><creatorcontrib>Zhang, Ping</creatorcontrib><creatorcontrib>Wei, Hongqiu</creatorcontrib><creatorcontrib>Yu, You</creatorcontrib><title>Photochemically driven one-step triple dynamic network formation in printable tough hydrogel for self-healing tubular sensors</title><title>Polymer chemistry</title><description>Self-healing hydrogels have attracted widespread attention due to their excellent biocompatibility, mechanical properties, and reparability. However, it is still a challenge to construct in one step printable self-healing tough hydrogels (PSHTHs), which limits their advanced application. Here, we report a photochemically driven dynamic multinetwork formation (PDDMF) strategy for the one-step design of high-performance multinetwork PSHTHs. Orthogonal ruthenium photochemistry helps in the simultaneous formation of multiple covalent and dynamic networks in ∼10 s. Triple dynamic networks of PSHTHs improve their mechanical performance and enable them to have excellent self-healing ability. These reversible hydrogen-bonded and ionically crosslinked networks could be healed in around 3 s after being destroyed at large shear strains (1000%). Also, PSHTHs exhibit 90% self-healing efficiency after multiple instances of mechanical damage and have mechanical performances similar to those of fresh samples. More importantly, this PDDMF strategy is controlled by simply adjusting the irradiation procedures and is compatible with standard extrusion printing technology to make complex 3D structures. As a proof-of-concept, highly sensitive tubular sensors are designed to detect environmental pressures anisotropically. It is anticipated that this PDDMF strategy and the as-prepared PSHTHs have potential applications in fabricating high-performance self-healing wearable devices, sensors, and bioelectronics.
Self-healing hydrogels have attracted widespread attention due to their excellent biocompatibility, mechanical properties, and reparability.</description><subject>Biocompatibility</subject><subject>Hydrogels</subject><subject>Hydrogen bonding</subject><subject>Mechanical properties</subject><subject>Network formation</subject><subject>Photochemistry</subject><subject>Polymer chemistry</subject><subject>Ruthenium</subject><subject>Sensors</subject><subject>Shear strain</subject><subject>Wearable technology</subject><issn>1759-9954</issn><issn>1759-9962</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNpF0UtLAzEQAOBFFCy1F-9CwJuwmse-ciz1CQV70IOnJclOulu3yZpklT34391aqacMmY8ZZiaKzgm-Jpjxm4p1A8aYM3EUTUie8pjzjB4f4jQ5jWbeb0aDGUkoyybR96q2waoato0SbTugyjWfYJA1EPsAHQqu6VpA1WDESJCB8GXdO9LWbUVorEGNQZ1rTBByZMH26xrVQ-XsGtqdQh5aHdcg2sasUehl34rdp_HW-bPoRIvWw-zvnUav93cvi8d4-fzwtJgvY0ULEuK8yLVSCauyVALnSZ4UMpUUGNVKKkzGnMw1VwWAkFle8YRmGLTKeaqBV4RNo8t93c7Zjx58KDe2d2ZsWdKckxRnnPJRXe2VctZ7B7ocB9sKN5QEl7sNl7ds9fa74fmIL_bYeXVw_xdgP1roe_Y</recordid><startdate>20230328</startdate><enddate>20230328</enddate><creator>Sun, Liwei</creator><creator>Lu, Zhe</creator><creator>Zhang, Ping</creator><creator>Wei, Hongqiu</creator><creator>Yu, You</creator><general>Royal Society of Chemistry</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8FD</scope><scope>JG9</scope><orcidid>https://orcid.org/0000-0002-9352-3964</orcidid></search><sort><creationdate>20230328</creationdate><title>Photochemically driven one-step triple dynamic network formation in printable tough hydrogel for self-healing tubular sensors</title><author>Sun, Liwei ; Lu, Zhe ; Zhang, Ping ; Wei, Hongqiu ; Yu, You</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c281t-787fcc43d65be994748b5b2e32fcbc01cc4b7f9c8eeab67d94260efc795fe9d13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Biocompatibility</topic><topic>Hydrogels</topic><topic>Hydrogen bonding</topic><topic>Mechanical properties</topic><topic>Network formation</topic><topic>Photochemistry</topic><topic>Polymer chemistry</topic><topic>Ruthenium</topic><topic>Sensors</topic><topic>Shear strain</topic><topic>Wearable technology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sun, Liwei</creatorcontrib><creatorcontrib>Lu, Zhe</creatorcontrib><creatorcontrib>Zhang, Ping</creatorcontrib><creatorcontrib>Wei, Hongqiu</creatorcontrib><creatorcontrib>Yu, You</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><jtitle>Polymer chemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sun, Liwei</au><au>Lu, Zhe</au><au>Zhang, Ping</au><au>Wei, Hongqiu</au><au>Yu, You</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Photochemically driven one-step triple dynamic network formation in printable tough hydrogel for self-healing tubular sensors</atitle><jtitle>Polymer chemistry</jtitle><date>2023-03-28</date><risdate>2023</risdate><volume>14</volume><issue>13</issue><spage>1536</spage><epage>1542</epage><pages>1536-1542</pages><issn>1759-9954</issn><eissn>1759-9962</eissn><abstract>Self-healing hydrogels have attracted widespread attention due to their excellent biocompatibility, mechanical properties, and reparability. However, it is still a challenge to construct in one step printable self-healing tough hydrogels (PSHTHs), which limits their advanced application. Here, we report a photochemically driven dynamic multinetwork formation (PDDMF) strategy for the one-step design of high-performance multinetwork PSHTHs. Orthogonal ruthenium photochemistry helps in the simultaneous formation of multiple covalent and dynamic networks in ∼10 s. Triple dynamic networks of PSHTHs improve their mechanical performance and enable them to have excellent self-healing ability. These reversible hydrogen-bonded and ionically crosslinked networks could be healed in around 3 s after being destroyed at large shear strains (1000%). Also, PSHTHs exhibit 90% self-healing efficiency after multiple instances of mechanical damage and have mechanical performances similar to those of fresh samples. More importantly, this PDDMF strategy is controlled by simply adjusting the irradiation procedures and is compatible with standard extrusion printing technology to make complex 3D structures. As a proof-of-concept, highly sensitive tubular sensors are designed to detect environmental pressures anisotropically. It is anticipated that this PDDMF strategy and the as-prepared PSHTHs have potential applications in fabricating high-performance self-healing wearable devices, sensors, and bioelectronics.
Self-healing hydrogels have attracted widespread attention due to their excellent biocompatibility, mechanical properties, and reparability.</abstract><cop>Cambridge</cop><pub>Royal Society of Chemistry</pub><doi>10.1039/d3py00093a</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-9352-3964</orcidid></addata></record> |
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source | Royal Society Of Chemistry Journals 2008- |
subjects | Biocompatibility Hydrogels Hydrogen bonding Mechanical properties Network formation Photochemistry Polymer chemistry Ruthenium Sensors Shear strain Wearable technology |
title | Photochemically driven one-step triple dynamic network formation in printable tough hydrogel for self-healing tubular sensors |
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