研究目的
Investigating the distinct surface morphology produced within a laser machined region of human bone and the underlying physical phenomena responsible for its evolution.
研究成果
Three-dimensional machining of human bone with the diode-pumped Er:YAG laser resulted in the generation of cellular/channeled scaffold with interconnected pores surrounded by solid trabecular ridges within the machined trabecular region of the bone. The thermal vaporization appeared to be a dominant material removal mechanism during its laser machining. Such an in-situ generation of distinct cellular/channeled scaffold structure in the laser-bone interaction region may hold potential advantages for rapid tissue integration, implant site preparation, and bone graft processing.
研究不足
The study focused on laser machining of human bone under only one combination of laser ablation parameters. Various attributes of the cellular/channeled scaffold can be governed by the laser parameters employed during machining of bone.
1:Experimental Design and Method Selection:
Three-dimensional laser machining was carried out using multiple partially overlapped pulses and laser tracks with a separation of
2:3 mm between the centers of consecutive laser tracks to remove a bulk volume of the bone. A diode-pumped pulse Er:
YAG laser (λ = 2940 nm) was employed with continuously sprayed chilled water at the irradiation site.
3:Sample Selection and Data Sources:
Fresh specimens of human tibial bone salvaged during total knee arthroplasty were used for this laser irradiation study.
4:List of Experimental Equipment and Materials:
Diode-pumped Er:YAG laser (λ = 2940 nm) by 3 m.i.k.r.o.n.?, Liechtenstein, Germany, diamond-laced brass wafer blade slow cutting machine (Model LC-150; Supplier Wuxi Jiebo Electrical Technology Co., Ltd.), field emission variable pressure scanning electron microscope (FESEM) by Zeiss.
5:Experimental Procedures and Operational Workflow:
The bone specimen was continuously sprayed with water chilled at 5 °C during laser exposure. The resulting surface morphology was evaluated using scanning electron microscopy, energy dispersive spectroscopy, and X-ray micro-computed tomography.
6:Data Analysis Methods:
The dimensions of the surface morphological features observed in the SEM micrographs were computed using an open source software image J.
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