The Use of Europiumstearate to Trace Polyethylene Wear Debris in Joint Fluid after Prosthetic Joint Replacement - A Feasibility Study.

Trends in applied spectroscopy Pub Date : 2013-01-01
J Kunze, V Ngai, S Koelling, J J Jacobs, M A Wimmer
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Abstract

Ultra-high molecular weight polyethylene (UHMWPE) is the most common counterface material against metals or ceramics in artificial hip or knee joints. Wear and the resulting particulate debris, however, limit the life span of the implant. In this study, the general feasibility of using Europium (Eu) as tracer material to quantify UHMWPE wear in joint fluid is investigated. Using Inductively Coupled Mass Spectrometry (ICP-MS), recovery experiments of Eu in artificial joint fluid were performed. In order to dope polyethylene with 50 ppm Eu, nascent UHMWPE powder was mixed with a solution of Eu-stearate. The heterogeneity of the mixture was assessed by determining the coefficient of variation (CV) of the Eu content in various weighted samples. After molding of the UHMWPE powder mixture, cylindrical pins of 10 mm diameter were machined and worn against cobalt-chromium metal disks submersed in artificial joint fluid. The Eu-content of fluid samples taken at certain time intervals was measured and compared with UHMWPE weight loss of the pins. A satisfactory homogenization of Eu in the UHMWPE powder was achieved. Tracer-based and weight-loss determined wear rates were highly correlated (Pearson correlation coefficients > 0.991). Also the detection bias was within acceptable limits. Thus both methods demonstrated good agreement.

使用硬脂酸Europiumstearate追踪假体关节置换术后关节液中聚乙烯磨损碎片的可行性研究
超高分子量聚乙烯(UHMWPE)是人工髋关节或膝关节中最常见的金属或陶瓷表面材料。然而,磨损和由此产生的颗粒碎片限制了植入物的使用寿命。在本研究中,研究了用铕(Eu)作为示踪材料量化接头流体中超高分子量聚乙烯磨损的总体可行性。采用电感耦合质谱法(ICP-MS)对人工关节液中的Eu进行了回收实验。为了用50 ppm的Eu掺杂聚乙烯,将新生的UHMWPE粉末与Eu硬脂酸盐溶液混合。通过确定各种加权样品中Eu含量的变异系数(CV)来评估混合物的异质性。UHMWPE粉末混合物成型后,加工直径为10 mm的圆柱形销,并与浸在人工关节液中的钴铬金属盘磨损。在一定的时间间隔内测量流体样品的eu含量,并与引脚的超高分子量聚乙烯失重进行比较。在超高分子量聚乙烯粉末中取得了令人满意的均一化效果。示踪剂测定的磨损率与失重测定的磨损率高度相关(Pearson相关系数> 0.991)。检测偏差也在可接受的范围内。因此,两种方法表现出良好的一致性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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