2022
DOI: 10.1021/acsami.2c07682
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Self-Searching Writing of Human-Organ-Scale Three-Dimensional Topographic Scaffolds with Shape Memory by Silkworm-like Electrospun Autopilot Jet

Abstract: Bioengineered scaffolds satisfying both the physiological and anatomical considerations could potentially repair partially damaged tissues to whole organs. Although three-dimensional (3D) printing has become a popular approach in making 3D topographic scaffolds, electrospinning stands out from all other techniques for fabricating extracellular matrix mimicking fibrous scaffolds. However, its complex charge-influenced jet–field interactions and the associated random motion were hardly overcome for almost a cent… Show more

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Cited by 2 publications
(1 citation statement)
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“…To satisfy the huge demand for nanofibers, many scientists have been trying to increase the rate of production of ENMs to be practically utilized on an industrial scale, specifically for water reclamation applications [ 9 , 25 , 48 , 49 ]. Many techniques, including bubble electrospinning [ 50 ], needleless electrospinning [ 51 ], multi-jet electrospinning [ 52 ], electrospinning writing [ 53 , 54 ], centrifugal electrospinning [ 3 ], deep eutectic solvent (DES) electrospinning [ 24 ], and near-field electrospinning, [ 55 ] have been employed to produce ENMs.…”
Section: New Developments In Nanofiber-based Membranesmentioning
confidence: 99%
“…To satisfy the huge demand for nanofibers, many scientists have been trying to increase the rate of production of ENMs to be practically utilized on an industrial scale, specifically for water reclamation applications [ 9 , 25 , 48 , 49 ]. Many techniques, including bubble electrospinning [ 50 ], needleless electrospinning [ 51 ], multi-jet electrospinning [ 52 ], electrospinning writing [ 53 , 54 ], centrifugal electrospinning [ 3 ], deep eutectic solvent (DES) electrospinning [ 24 ], and near-field electrospinning, [ 55 ] have been employed to produce ENMs.…”
Section: New Developments In Nanofiber-based Membranesmentioning
confidence: 99%