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Dutta SD, Patil TV, Ganguly K, Randhawa A, Acharya R, Moniruzzaman M, Lim KT. Trackable and highly fluorescent nanocellulose-based printable bio-resins for image-guided tissue regeneration. Carbohydr Polym 2023; 320:121232. [PMID: 37659796 DOI: 10.1016/j.carbpol.2023.121232] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 07/18/2023] [Accepted: 07/21/2023] [Indexed: 09/04/2023]
Abstract
Dynamic tracking of cell migration during tissue regeneration remains challenging owing to imaging techniques that require sophisticated devices, are often lethal to healthy tissues. Herein, we developed a 3D printable non-invasive polymeric hydrogel based on 2,2,6,6-(tetramethylpiperidin-1-yl) oxyl (TEMPO)-oxidized nanocellulose (T-CNCs) and carbon dots (CDs) for the dynamic tracking of cells. The as-prepared T-CNC@CDs were used to fabricate a liquid bio-resin containing gelatin methacryloyl (GelMA) and polyethylene glycol diacrylate (GPCD) for digital light processing (DLP) bioprinting. The shear-thinning properties of the GPCD bio-resin were further improved by the addition of T-CNC@CDs, allowing high-resolution 3D printing and bioprinting of human cells with higher cytocompatibility (viability ∼95 %). The elastic modulus of the printed GPCD hydrogel was found to be ∼13 ± 4.2 kPa, which is ideal for soft tissue engineering. The as-fabricated hydrogel scaffold exhibited tunable structural color property owing to the addition of T-CNC@CDs. Owing to the unique fluorescent property of T-CNC@CDs, the human skin cells could be tracked within the GPCD hydrogel up to 30 days post-printing. Therefore, we anticipate that GPCD bio-resin can be used for 3D bioprinting with high structural stability, dynamic tractability, and tunable mechanical stiffness for image-guided tissue regeneration.
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Affiliation(s)
- Sayan Deb Dutta
- Department of Biosystems Engineering, Kangwon National University, Chuncheon 24341, Gangwon-do, Republic of Korea; Institue of Forest Science, Department of Biosystems Engineering, Kangwon National University, Chuncheon 24341, Gangwon-do, Republic of Korea
| | - Tejal V Patil
- Department of Biosystems Engineering, Kangwon National University, Chuncheon 24341, Gangwon-do, Republic of Korea; Interdisciplinary Program in Smart Agriculture, Kangwon National University, Chuncheon 24341, Gangwon-do, Republic of Korea
| | - Keya Ganguly
- Department of Biosystems Engineering, Kangwon National University, Chuncheon 24341, Gangwon-do, Republic of Korea
| | - Aayushi Randhawa
- Department of Biosystems Engineering, Kangwon National University, Chuncheon 24341, Gangwon-do, Republic of Korea; Interdisciplinary Program in Smart Agriculture, Kangwon National University, Chuncheon 24341, Gangwon-do, Republic of Korea
| | - Rumi Acharya
- Department of Biosystems Engineering, Kangwon National University, Chuncheon 24341, Gangwon-do, Republic of Korea; Interdisciplinary Program in Smart Agriculture, Kangwon National University, Chuncheon 24341, Gangwon-do, Republic of Korea
| | - Md Moniruzzaman
- Department of Chemical and Biological Engineering, Gachon University, Seongnam, Gyeonggi-do 13120, Republic of Korea
| | - Ki-Taek Lim
- Department of Biosystems Engineering, Kangwon National University, Chuncheon 24341, Gangwon-do, Republic of Korea; Institue of Forest Science, Department of Biosystems Engineering, Kangwon National University, Chuncheon 24341, Gangwon-do, Republic of Korea; Interdisciplinary Program in Smart Agriculture, Kangwon National University, Chuncheon 24341, Gangwon-do, Republic of Korea.
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