Heat impact during laser ablation extraction of mineralised tissue micropillars.

Heat impact during laser ablation extraction of mineralised tissue micropillars.
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DOI:
10.1038/s41598-021-89181-9
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发表时间:
2021-05-26
期刊:
影响因子:
4.6
通讯作者:
Wolfram U
Wolfram U
中科院分区:
综合性期刊3区
文献类型:
--
作者:
McPhee S;Groetsch A;Shephard JD;Wolfram U

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超短脉冲激光消融在临床和微机械加工环境中的潜在限制是对消融区域周围材料成分影响的不确定性。将代表激光-组织相互作用的热模型实施到有限元套件中,以评估超短脉冲激光消融期间骨的累积温度响应。作为一个例子,我们专注于提取矿化胶原纤维微柱。激光诱导加热可导致胶原蛋白变性,导致超微结构损失,这可能影响机械测试结果。激光参数取自所用的微柱提取方案。激光扫描图案由4085个脉冲组成,最后的径向通过距离微柱22。微柱温度升高至70.58,其余79.42低于我们解释为变性的起始温度。我们通过拉曼显微镜和能量色散X射线显微分析验证了结果,发现激光-材料相互作用对构成微柱的胶原分子或矿物纳米晶体没有影响。因此,我们表明,超短脉冲激光烧蚀是一种安全可行的工具,制造骨标本的力学测试在微米和纳米级,我们提供了一个计算模型,以有效地评估这一点。
The underlying constraint of ultrashort pulsed laser ablation in both the clinical and micromachining setting is the uncertainty regarding the impact on the composition of material surrounding the ablated region. A heat model representing the laser-tissue interaction was implemented into a finite element suite to assess the cumulative temperature response of bone during ultrashort pulsed laser ablation. As an example, we focus on the extraction of mineralised collagen fibre micropillars. Laser induced heating can cause denaturation of the collagen, resulting in ultrastructural loss which could affect mechanical testing results. Laser parameters were taken from a used micropillar extraction protocol. The laser scanning pattern consisted of 4085 pulses, with a final radial pass being 22  away from the micropillar. The micropillar temperature was elevated to 70.58 , remaining 79.42  lower than that of which we interpret as an onset for denaturation. We verified the results by means of Raman microscopy and Energy Dispersive X-ray Microanalysis and found the laser-material interaction had no effect on the collagen molecules or mineral nanocrystals that constitute the micropillars. We, thus, show that ultrashort pulsed laser ablation is a safe and viable tool to fabricate bone specimens for mechanical testing at the micro- and nanoscale and we provide a computational model to efficiently assess this.
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