Engineered Functional Surfaces by Laser Microprocessing for Biomedical Applications

Guoqing Hu , Kai Guan , Libin Lu , Jiaru Zhang , Nie Lu , Yingchun Guan

Engineering ›› 2018, Vol. 4 ›› Issue (6) : 822 -830.

PDF (2440KB)
Engineering ›› 2018, Vol. 4 ›› Issue (6) : 822 -830. DOI: 10.1016/j.eng.2018.09.009
Research
Research Precision Engineering—Article

Engineered Functional Surfaces by Laser Microprocessing for Biomedical Applications

Author information +
History +
PDF (2440KB)

Abstract

Metallic biomaterials are increasingly being used in various medical applications due to their high strength, fracture resistance, good electrical conductivity, and biocompatibility. However, their practical applications have been largely limited due to poor surface performance. Laser microprocessing is an advanced method of enhancing the surface-related properties of biomaterials. This work demonstrates the capability of laser microprocessing for biomedical metallic materials including magnesium and titanium alloys, with potential applications in cell adhesion and liquid biopsy. We investigate laser-material interaction, microstructural evolution, and surface performance, and analyze cell behavior and the surface-enhanced Raman scattering (SERS) effect. Furthermore, we explore a theoretical study on the laser microprocessing of metallic alloys that shows interesting results with potential applications. The results show that cells exhibit good adhesion behavior at the surface of the laser-treated surface, with a preferential direction based on the textured structure. A significant SERS enhancement of 6×103 can be obtained at the laser-textured surface during Raman measurement.

Keywords

Laser microprocessing / Functional surface / Metallic alloy / Niocompatibility / SERS

Cite this article

Download citation ▾
Guoqing Hu, Kai Guan, Libin Lu, Jiaru Zhang, Nie Lu, Yingchun Guan. Engineered Functional Surfaces by Laser Microprocessing for Biomedical Applications. Engineering, 2018, 4(6): 822-830 DOI:10.1016/j.eng.2018.09.009

登录浏览全文

4963

注册一个新账户 忘记密码

References

Funding

()

RIGHTS & PERMISSIONS

THE AUTHORS

AI Summary AI Mindmap
PDF (2440KB)

1215

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/