journal article·2024

Two-dimensional silicene-based technologies in oncology: an emerging avenue

Joydip Sengupta, Chaudhery Mustansar Hussain

Nanoscale· Volume 16· Issue 43
Publisher page

Abstract

Silicene, a two-dimensional allotrope of silicon, has attracted considerable attention due to its distinctive electronic, mechanical, and biochemical properties. This review critically examines the emerging applications of silicene in oncology, emphasising its potential roles in cancer therapy and research. Silicene exhibits exceptional biocompatibility and surface reactivity, positioning it as a promising candidate for oncological applications. This review addresses the current challenges and limitations in the clinical translation of silicene-based technologies, including issues of stability, toxicity, and scalable production. By synthesizing recent research findings, this review aims to provide an assessment of silicene's potential contributions to oncology and delineate future research trajectories in this innovative field.
Source: openalex_inverted_index · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Advanced biosensing and bioanalysis techniques · Molecular Junctions and Nanostructures · Graphene research and applications

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

Affiliations

Department of Electronic Science, Jogesh Chandra Chaudhuri College, Kolkata – 700033, India

Department of Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, 07102, New Jersey, USA

References (50)

Show source-provided references
1. Molle · Chem. Soc. Rev. · 2018 · 47 · 637010.1039/C8CS00338F ↗
2. Walia · J. Mol. Model · 2021 · 27 · 27710.1007/s00894-021-04892-0 ↗
3. You · Mater. Today Nano · 2021 · 16 · 10013210.1016/j.mtnano.2021.100132 ↗
4. Sengupta · Biomolecules · 2023 · 13 · 102410.3390/biom13071024 ↗
5. Duan · Biomaterials · 2020 · 256 · 12020610.1016/j.biomaterials.2020.120206 ↗
6. Masson · Nanoscale Adv. · 2023 · 5 · 157410.1039/D2NA00808D ↗
7. Takahashi · Sci. Rep. · 2017 · 7 · 1085510.1038/s41598-017-11360-4 ↗
8. Aghdasi · Appl. Phys. A · 2022 · 128 · 71610.1007/s00339-022-05859-5 ↗
9. Zhan · Nanoscale · 2019 · 11 · 1318110.1039/C9NR03611C ↗
10. Xu · Phys. Chem. Chem. Phys. · 2019 · 21 · 427610.1039/C8CP05982A ↗
11. Taşaltın · Biomass Convers. Biorefin. · 2024 · 14 · 1694310.1007/s13399-022-03726-0 ↗
12. Hossain · Results Eng. · 2022 · 14 · 10041310.1016/j.rineng.2022.100413 ↗
13. Bassey · Chem. Phys. Impact · 2023 · 7 · 10029710.1016/j.chphi.2023.100297 ↗
14. Ipaves · Phys. Chem. Chem. Phys. · 2022 · 24 · 870510.1039/D1CP05867C ↗
15. Lin · Adv. Mater. · 2019 · 31 · 190301310.1002/adma.201903013 ↗
16. He · Biomaterials · 2020 · 255 · 12018110.1016/j.biomaterials.2020.120181 ↗
17. Galashev · Lett. Mater. · 2018 · 8 · 46310.22226/2410-3535-2018-4-463-467 ↗
18. Gill · 2D Mater. · 2017 · 4 · 02101510.1088/2053-1583/aa5a80 ↗
19. Aizawa · J. Phys. Chem. C · 2014 · 118 · 2304910.1021/jp505602c ↗
20. Chiappe · Adv. Mater. · 2014 · 26 · 209610.1002/adma.201304783 ↗
21. Huang · Nano Lett. · 2017 · 17 · 116110.1021/acs.nanolett.6b04804 ↗
22. Stpniak-Dybala · Adv. Funct. Mater. · 2019 · 29 · 190605310.1002/adfm.201906053 ↗
23. StÈ©pniak-Dybala · J. Phys. Chem. C · 2019 · 123 · 1701910.1021/acs.jpcc.9b04343 ↗
24. Sassa · Appl. Surf. Sci. · 2020 · 530 · 14719510.1016/j.apsusc.2020.147195 ↗
25. Jardali · Nano Res. · 2020 · 13 · 237810.1007/s12274-020-2858-x ↗
26. Tokmachev · Nanoscale · 2016 · 8 · 1622910.1039/C6NR04573A ↗
27. Meng · Nano Lett. · 2013 · 13 · 68510.1021/nl304347w ↗
28. Grazianetti · 2D Mater. · 2016 · 3 · 01200110.1088/2053-1583/3/1/012001 ↗
29. Grazianetti · Research · 2019 · 2019 · 849460610.34133/2019/8494606 ↗
30. Chanchal · Electrochim. Acta · 2024 · 505 · 14493310.1016/j.electacta.2024.144933 ↗
31. Suzuki · Jpn. J. Appl. Phys. · 2024 · 63 · 06090110.35848/1347-4065/ad45d0 ↗
32. Huang · Chin. Phys. B · 2020 · 29 · 08420210.1088/1674-1056/ab942c ↗
33. Tsai · Nanoscale · 2016 · 8 · 948810.1039/C6NR02274J ↗
34. Sengupta · TrAC, Trends Anal. Chem. · 2023 · 167 · 11725410.1016/j.trac.2023.117254 ↗
35. Wu · J. Nanobiotechnol. · 2022 · 20 · 410.1186/s12951-021-01181-z ↗
36. Li · Bioact. Mater. · 2023 · 23 · 471
37. Wang · Nanoscale · 2020 · 12 · 1793110.1039/D0NR05214K ↗
38. Hu · Biomaterials · 2021 · 269 · 12045510.1016/j.biomaterials.2020.120455 ↗
39. Yin · Adv. Funct. Mater. · 2021 · 31 · 210709310.1002/adfm.202107093 ↗
40. Duan · Mater. Today Bio · 2022 · 16 · 10039310.1016/j.mtbio.2022.100393 ↗
41. Chen · Nanotechnology · 2024 · 35 · 25510110.1088/1361-6528/ad312a ↗
42. Bao · Vacuum · 2022 · 203 · 11122610.1016/j.vacuum.2022.111226 ↗
43. Wang · Nanoscale · 2020 · 12 · 1793110.1039/D0NR05214K ↗
44. Dávila · Mater. Today Adv. · 2022 · 16 · 10031210.1016/j.mtadv.2022.100312 ↗
45. Wang · Sci. Rep. · 2013 · 3 · 350710.1038/srep03507 ↗
46. Molle · Adv. Funct. Mater. · 2013 · 23 · 434010.1002/adfm.201300354 ↗
47. You · Mater. Today Nano · 2021 · 16 · 10013210.1016/j.mtnano.2021.100132 ↗
48. Ghosal · Rep. Prog. Phys. · 2023 · 86 · 09650210.1088/1361-6633/acec5a ↗
49. An · ACS Nano · 2019 · 13 · 1369010.1021/acsnano.9b06653 ↗
50. Wang · Chem. Commun. · 2022 · 58 · 571710.1039/D2CC01116F ↗