Zhangkang Li, Jaemyung Shin, Kartikeya Dixit, Daichen Liu, Hongguang Zhang, Qingye Lu, Hitendra Kumar, Keekyoung Kim, Jinguang Hu
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引用次数: 0
Abstract
Soft hydrogels are being increasingly recognized for their versatility and unique properties, making them attractive for a range of applications in tissue engineering, biomedical devices, and beyond. Among fabrication methods, 3D printing stands out for its precise control over material distribution, enabling the creation of complex structures. Traditional printing methods, however, struggle to produce heterogeneous hydrogels with diverse properties. Here, a novel approach is introduced utilizing polyvinyl alcohol bearing styrylpyridinium groups (PVA-SbQ) for high-resolution heterogeneous hydrogel printing. By leveraging the photoreactive nature of PVA-SbQ, precise control over crosslinking time at different positions within a PVA-SbQ hydrogel is demonstrated using a simple home projector. This enables the creation of intricate patterns with tailored properties within a heterogeneous hydrogel, showcasing synergistic combinations of soft and tough domains, as well as high and low swelling regions. The method not only advances the field of hydrogel printing but also holds promise for applications in pattern encryption, 4D printing, cell organization, and cell alignment. By overcoming the limitations of traditional printing techniques, the approach opens new avenues for the fabrication of complex and heterogeneous hydrogel structures with diverse applications in biomedical engineering and beyond.
Small MethodsMaterials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍:
Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques.
With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community.
The online ISSN for Small Methods is 2366-9608.