DataVXDigest Journal of Nanomaterials and BiostructuresPaper
journal article·2025-05-15Open access

Optimization of graphene-functionalized polycaprolactone nanofibers: enhancing mechanical, thermal, and biocompatibility properties for biomedical applications

Department of Mechanical Engineering, Paavai College of Engineering, Namakkal, Tamilnadu, India-637018, T. Sankar, T. K. Kannan, Department of Mechanical Engineering, Gnanamani College of Technology, Namakkal, Tamilnadu, India-637018, R. Rajasekar, Department of Mechanical Engineering, Kongu Engineering College, Erode, Tamilnadu, India-638060, N. Balakrishnan, Department of Mechanical Engineering, Gnanamani College of Technology, Namakkal, Tamilnadu, India-637018

Digest Journal of Nanomaterials and Biostructures· Volume 20· Issue 2
Publisher pageOpen full text
Source abstract

Abstract

The development of biocompatible materials with enhanced properties is critical for biomedical applications. However, polycaprolactone (PCL), a widely used biodegradable polymer, exhibits insufficient mechanical and thermal properties for demanding applications. This study addresses the challenge by incorporating carboxyl-functionalized graphene (CFG) and hydroxyl-functionalized graphene (HFG) derivatives into PCL nanofibers using electrospinning. The objective is to optimize graphene content to improve the mechanical strength, thermal stability, and biocompatibility of the nanocomposites. Electrospun nanofibers with varying graphene concentrations (0.5, 1, and 2 wt%) were characterized for morphology, mechanical properties, thermal behavior, and cell viability. Results demonstrated that 1 wt% graphene content provided optimal performance, significantly enhancing tensile strength (5.5 MPa for CFG, 5.4 MPa for HFG) and Young's modulus while maintaining uniform, bead-free fibers. Thermal analysis revealed improved crystallinity and degradation temperature, while MTT assays showed superior cell viability (up to 93%) at 1 wt% graphene. These highlight the potential of PCL/graphene nanocomposites as high-performance biomaterials for tissue regeneration. Future research should explore in vivo performance and long-term biological effects to confirm their clinical viability
Source: crossref · Quality: baseline

Research context

PolymersNanomaterialsBiomaterials

OpenAlex topics: Graphene and Nanomaterials Applications · Electrospun Nanofibers in Biomedical Applications · biodegradable polymer synthesis and properties

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (33)

Show source-provided references
1. [1] X. Du, D.J. Jasim, S.M. Sajadi, M. Hekmatifar, S. Salahshour, R. Sabetvand, A. Arefpour, D. Toghraie, Int J AdhesAdhes129 (2024); https://doi.org/10.1016/j.ijadhadh.2023.10357710.1016/j.ijadhadh.2023.103577 ↗
2. [2] P. Radhakrishnan, A.N. Ahmed, K. Kalaiarasi, K. Giridhar, S. Thenappan, Fusion: Practice and Applications 16 37-51 (2024); https://doi.org/10.54216/FPA.16010310.54216/FPA.160103 ↗
3. [3] Y. Khane, S. Albukhaty, G.M. Sulaiman, F. Fennich, B. Bensalah, Z. Hafsi, M. Aouf, Z.H. Amar, D. Aouf, H.M. Al-kuraishy, H. Saadoun, H.A. Mohammed, M.H. Mohsin, Z.T. Al-aqbi, EurPolym J 214 (2024); https://doi.org/10.1016/j.eurpolymj.2024.11318710.1016/j.eurpolymj.2024.113187 ↗
4. [4] G. García, V. Moreno-Serna, M. Saavedra, A. Cordoba, D. Canales, A. Alfaro, A. GuzmánSoria, P. Orihuela, S. Zapata, C.D. Grande-Tovar, C.H. Valencia-Llano, P.A. Zapata, Int J Biol Macromol273 (2024); https://doi.org/10.1016/j.ijbiomac.2024.13289110.1016/j.ijbiomac.2024.132891 ↗
5. [5] X. Li, A. Hajinur Hirad, A.A. Alarfaj, H. Li, R. Santhanam, Arabian Journal of Chemistry 17 (2024); https://doi.org/10.1016/j.arabjc.2023.10546810.1016/j.arabjc.2023.105468 ↗
6. [6] B. Mani, K. Kandasamy, J. Shanmugam, R. Dhairiyasamy, Results in Engineering 24 (2024); https://doi.org/10.1016/j.rineng.2024.10306510.1016/j.rineng.2024.103065 ↗
7. [7] N. Dehghani, F. Haghiralsadat, F. Yazdian, F. Sadeghian-Nodoushan, N. Ghasemi, F. Mazaheri, M. Pourmadadi, S.M. Naghib, Int J Biol Macromol238 (2023); https://doi.org/10.1016/j.ijbiomac.2023.12407810.1016/j.ijbiomac.2023.124078 ↗
8. [8] R. Augustine, S.N. Kalva, Y.B. Dalvi, R. Varghese, M. Chandran, A. Hasan, Colloids Surf B Biointerfaces221 (2023); https://doi.org/10.1016/j.colsurfb.2022.11295810.1016/j.colsurfb.2022.112958 ↗
9. [9] K. Kalaiarasi, C. Senthilkumar, M. Balamurugan, R. ArokiaDass, Int J Electrochem Sci 17 (2022); https://doi.org/10.20964/2022.04.4110.20964/2022.04.41 ↗
10. [10] S. Bakhtiary, A. Chegeni, V. Babaeipour, M. Omidi, S.H. Keshel, N. Khodamoradi, Int J Biol Macromol210 63-75 (2022); https://doi.org/10.1016/j.ijbiomac.2022.05.02610.1016/j.ijbiomac.2022.05.026 ↗
11. [11] C. Daulbayev, F. Sultanov, A. V. Korobeinyk, M. Yeleuov, A. Taurbekov, B. Bakbolat, A. Umirzakov, A. Baimenov, O. Daulbayev, Surfaces and Interfaces 28 (2022); https://doi.org/10.1016/j.surfin.2021.10168310.1016/j.surfin.2021.101683 ↗
12. [12] G. Vinuja, V. Saravanan, K. Maharajan, V. Jayasudha, R. Ramya, S.J. Arunachalam, Emerging Advancements in AI and Big Data Technologies in Business and Society 128-142 (2024); https://doi.org/10.4018/979-8-3693-0683-3.ch00710.4018/979-8-3693-0683-3.ch007 ↗
13. [13] S.M. Khatami, H. Hanaee-Ahvaz, K. Parivar, M. Soleimani, S. Abedin Dargoush, A. Naderi Sohi, J BiosciBioeng (2024); https://doi.org/10.1016/j.jbiosc.2024.07.01810.1016/j.jbiosc.2024.07.018 ↗
14. [14] S. Ramazani, M. Karimi, J Mech Behav Biomed Mater 61 484-492 (2016); https://doi.org/10.1016/j.jmbbm.2016.04.02010.1016/j.jmbbm.2016.04.020 ↗
15. [15] A. Patel, Y. Xue, S. Mukundan, L.C. Rohan, V. Sant, D.B. Stolz, S. Sant, Ann Biomed Eng 44 2036-2048 (2016); https://doi.org/10.1007/s10439-016-1586-610.1007/s10439-016-1586-6 ↗
16. [16] L.W. Wong, J.B.L. Tan, J Manuf Process 118 76-88 (2024); https://doi.org/10.1016/j.jmapro.2024.03.04310.1016/j.jmapro.2024.03.043 ↗
17. [17] M. Shafiq, V. Saravanan, S. Ratna Kandavalli, S. Surendranath, S. Soundara Pandian, V. Sreenivasa Rao, Thermal Science and Engineering Progress 52 (2024); https://doi.org/10.1016/j.tsep.2024.10267610.1016/j.tsep.2024.102676 ↗
18. [18] V. Dananjaya, S. Marimuthu, R. (Chunhui) Yang, A.N. Grace, C. Abeykoon, Prog Mater Sci 144 (2024); https://doi.org/10.1016/j.pmatsci.2024.10128210.1016/j.pmatsci.2024.101282 ↗
19. [19] D. Sengeni, R. Nadanasabai, V. Saravanan, L. Sangeetha, J.U. Prakash, Ionics (Kiel) (2024); 456 https://doi.org/10.1007/s11581-024-05871-010.1007/s11581-024-05871-0 ↗
20. [20] E. Correa, M.E. Moncada, O.D. Gutiérrez, C.A. Vargas, V.H. Zapata, Materials Science and Engineering C 103 (2019); https://doi.org/10.1016/j.msec.2019.10977310.1016/j.msec.2019.109773 ↗
21. [21] F.B. Sarıipek, F. Sevgi, S. Dursun, Colloids Surf APhysicochem Eng Asp 653 (2022); https://doi.org/10.1016/j.colsurfa.2022.12996910.1016/j.colsurfa.2022.129969 ↗
22. [22] M. Shamsi, M. Sedighi, A. Bagheri, Transactions of Nonferrous Metals Society of China (English Edition) 34 1470-1486 (2024); https://doi.org/10.1016/S1003-6326(24)66484-810.1016/S1003-6326(24)66484-8 ↗
23. [23] S. Ramazani, M. Karimi, Materials Science and Engineering C 56 325-334 (2015); https://doi.org/10.1016/j.msec.2015.06.04510.1016/j.msec.2015.06.045 ↗
24. [24] R. Eivazzadeh-Keihan, Z. Sadat, F. Lalebeigi, N. Naderi, L. Panahi, F. Ganjali, S. Mahdian, Z. Saadatidizaji, M. Mahdavi, E. Chidar, E. Soleimani, A. Ghaee, A. Maleki, I. Zare, Nanoscale Adv 6 337-366 (2023); https://doi.org/10.1039/D3NA00554B10.1039/D3NA00554B ↗
25. [25] D. Razzaghi, M. Rezaei, A. Babaie, Compos B Eng 224 (2021); https://doi.org/10.1016/j.compositesb.2021.10921010.1016/j.compositesb.2021.109210 ↗
26. [26] C. Loyo, H. Palza, M. Saavedra, D. Canales, C. García-Herrera, F. Olate-Moya, F. Melo, L. Cordova, L. Solano, P.A. Zapata, Mater Today Commun39 (2024); https://doi.org/10.1016/j.mtcomm.2024.10905710.1016/j.mtcomm.2024.109057 ↗
27. [27] M.O. Aydogdu, N. Ekren, M. Suleymanoglu, S. Erdem-Kuruca, C.C. Lin, E. Bulbul, M.N. Erdol, F.N. Oktar, U.K. Terzi, O. Kilic, O. Gunduz, Colloids Surf B Biointerfaces172 718-727 (2018); https://doi.org/10.1016/j.colsurfb.2018.09.03510.1016/j.colsurfb.2018.09.035 ↗
28. [28] M. Milazzo, S. Danti, P. Livens, J. Dirckx, R. Scaffaro, M. Gammino, Composites Communications 51 (2024); https://doi.org/10.1016/j.coco.2024.10204810.1016/j.coco.2024.102048 ↗
29. [29] F. Rostami, E. Tamjid, M. Behmanesh, Materials Science and Engineering C 115 (2020); https://doi.org/10.1016/j.msec.2020.11110210.1016/j.msec.2020.111102 ↗
30. [30] J.Y. Song, D.Y. Kim, H.J. Yun, J.H. Kim, C.C. Yi, S.M. Park, Compos Sci Technol 227 (2022); https://doi.org/10.1016/j.compscitech.2022.10962910.1016/j.compscitech.2022.109629 ↗
31. [31] M. M, S. Sagadevan, B. E, I. Fatimah, J.A. Lett, S. Moharana, S. Garg, M.A. Al-Anber, J Drug Deliv Sci Technol 99 (2024); https://doi.org/10.1016/j.jddst.2024.10595810.1016/j.jddst.2024.105958 ↗
32. [32] H. Setia Budi, M. Javed Ansari, S. Abdalkareem Jasim, W.K. Abdelbasset, D. Bokov, Y.F. Mustafa, M.A.A. Najm, M. Kazemnejadi, Inorg Chem Commun139 (2022); https://doi.org/10.1016/j.inoche.2022.10933610.1016/j.inoche.2022.109336 ↗
33. [33] B. Mani, K. Kandasamy, J. Shanmugam, R. Dhairiyasamy, Results in Engineering 24 (2024); https://doi.org/10.1016/j.rineng.2024.10306510.1016/j.rineng.2024.103065 ↗