Dimethyl sulfoxide mediated high-fidelity 3D printing of hydrogels

被引:2
|
作者
Wang, Yixian [1 ,2 ]
Xu, Xin [3 ,4 ]
Liu, Desheng [3 ]
Wu, Jiayu [3 ]
Yang, Xingxing [4 ]
Zhu, Bin [4 ]
Sun, Chufeng [2 ]
Jiang, Pan [3 ]
Wang, Xiaolong [1 ,3 ]
机构
[1] Yantai Zhongke Res Inst Adv Mat & Green Chem Engn, Shandong Lab Adv Mat & Green Mfg Yantai, Yantai 264006, Peoples R China
[2] Northwest Minzu Univ, Sch Chem Engn, Lanzhou 730000, Peoples R China
[3] Chinese Acad Sci, Lanzhou Inst Chem Phys, State Key Lab Solid Lubricat, Lanzhou 730000, Peoples R China
[4] Shihezi Univ, Sch Chem & Chem Engn, State Key Lab Incubat Base Green Proc Chem Engn, Shihezi 832003, Peoples R China
基金
中国国家自然科学基金;
关键词
3D printing; mixed solvent; Hydrogel; Anti-dehydration; ORGANOHYDROGELS; ADHESIVE;
D O I
10.1016/j.addma.2024.104346
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Owing to flexible structural design and rapid prototyping manufacturing, 3D printable hydrogels with solid-like and fluid-like characters have emerged as a promising candidate for biomedical engineering, soft robotics, and flexible electronics. However, existing 3D printing of hydrogel place substantial constraints on hydrogel highfidelity of the printed hydrogel complex structures due to the shape deformation and collapse caused by water evaporation. Herein, we propose a mixed solvent printing strategy followed with water dialysis to achieve vat photopolymerization 3D printing of high-fidelity hydrogel structure by restraining water evaporation. Concretely, dimethyl sulfoxide (DMSO) is introduced into the hydrogel ink as co-solvent to improve the antidehydration performance during 3D printing. The as-prepared gels are then transformed into hydrogels with good fidelity and excellent performance through solvent exchange and water dialysis. Enabled by these characteristics, various functional devices with complex structures are demonstrated with the present high-fidelity 3D printing of diverse hydrogels. The solvent assisted high-fidelity hydrogel 3D printing protocol combining with the compatibility to various high-performance hydrogels is believed to be promising for wearable devices, wound dressings, electronic skin, and intelligent robots.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] ScanNet plus plus : A High-Fidelity Dataset of 3D Indoor Scenes
    Yeshwanth, Chandan
    Liu, Yueh-Cheng
    Niessner, Matthias
    Dai, Angela
    2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION, ICCV, 2023, : 12 - 22
  • [32] High-fidelity 3D face reconstruction with multi-scale details
    Jin, Yiwei
    Li, Qingyu
    Jiang, Diqiong
    Tong, Ruofeng
    PATTERN RECOGNITION LETTERS, 2022, 153 : 51 - 58
  • [33] SurgicalGaussian: Deformable 3D Gaussians for High-Fidelity Surgical Scene Reconstruction
    Xie, Weixing
    Yao, Junfeng
    Cao, Xianpeng
    Lin, Qiqin
    Tang, Zerui
    Dong, Xiao
    Guo, Xiaohu
    MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2024, PT VI, 2024, 15006 : 617 - 627
  • [34] AvatarStudio: High-Fidelity and Animatable 3D Avatar Creation from Text
    Zhang, Xuanmeng
    Zhang, Jianfeng
    Zhang, Chenxu
    Liew, Jun Hao
    Zhang, Huichao
    Yang, Yi
    Feng, Jiashi
    INTERNATIONAL JOURNAL OF COMPUTER VISION, 2025,
  • [35] High-fidelity Image Restoration of Large 3D Electron Microscopy Volume
    Kreinin, Yuri
    Gunn, Pat
    Chklovskii, Dmitri
    Wu, Jingpeng
    MICROSCOPY AND MICROANALYSIS, 2024, 30 (05) : 889 - 902
  • [36] 3D Mapping for high-fidelity unmanned ground vehicle lidar simulation
    Browning, Brett
    Deschaud, Jean-Emmanuel
    Prasser, David
    Rander, Peter
    INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2012, 31 (12): : 1349 - 1376
  • [37] High-fidelity 3D Face Generation from Natural Language Descriptions
    Wu, Menghua
    Zhu, Hao
    Huang, Linjia
    Zhuang, Yiyu
    Lu, Yuanxun
    Cao, Xun
    2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR, 2023, : 4521 - 4530
  • [38] High-fidelity 3D reconstruction of plants using Neural Radiance Fields
    Hu, Kewei
    Ying, Wei
    Pan, Yaoqiang
    Kang, Hanwen
    Chen, Chao
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2024, 220
  • [39] High-fidelity and fast 3D imaging of subcellular dynamics in native states
    Lu, Zhi
    Dai, Qionghai
    NATURE BIOTECHNOLOGY, 2024, : 504 - 505
  • [40] Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction
    Yang, Ziyi
    Gao, Xinyu
    Zhou, Wen
    Jiao, Shaohui
    Zhang, Yuqing
    Jin, Xiaogang
    2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2024, : 20331 - 20341