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Abstract：
This study presents a new method for identifying radiation modifications in UHMWPE polymer samples. The method involves using a mathematical technique called fractional order differential transformation on IR spectra obtained through ATR-FTIR spectroscopy. This new method was compared to existing techniques such as FTIR, XRD, and DSC, and it was found to be more sensitive and accurate in detecting radiation-induced changes in the polymer. The study focused on identifying changes in weak IR bands in the UHMWPE samples caused by gamma sterilization while simulating IR spectra using different orders of fractional derivatives and compared them to experimental spectra. It was found that applying a lower order of differentiation was more suitable for identifying radiation-induced changes in the UHMWPE samples. Using this method, they were able to identify specific changes in the gamma irradiated structure, such as the splitting of a single absorption peak into a doublet, which was only present in the 50 kGy irradiated sample. The study also used correlation index analysis, principal component analysis, and hierarchy cluster analysis to analyze the simulated and experimental spectra. These techniques allowed to confirm the effectiveness of the fractional order differential transformation method and to identify the specific regions of the IR spectra that were affected by radiation-induced changes in the UHMWPE samples. Overall, this study presents a new method for identifying radiation-induced changes in UHMWPE polymer samples that is more sensitive and accurate than existing techniques. By identifying these changes, researchers can better understand the effects of gamma sterilization on medical equipment and potentially develop new methods for sterilization that do not damage the equipment.
摘要：
这项研究提出了一种新的方法来识别UHMWPE聚合物样品中的辐射改性。该方法涉及对通过ATR-FTIR光谱获得的IR光谱使用称为分数阶微分变换的数学技术。将这种新方法与现有技术如FTIR进行了比较，XRD,DSC,并且发现它在检测辐射引起的聚合物变化方面更加灵敏和准确。该研究的重点是识别由伽马灭菌引起的UHMWPE样品中的弱IR波段的变化，同时使用不同阶的分数导数模拟IR光谱，并将其与实验光谱进行比较。发现应用较低的分化顺序更适合于鉴定UHMWPE样品中辐射诱导的变化。使用此方法，他们能够识别伽马辐照结构的具体变化，例如将单个吸收峰分裂成双峰，仅存在于50kGy辐照样品中。研究还采用了相关指数分析，主成分分析，层次聚类分析对模拟光谱和实验光谱进行分析。这些技术可以确认分数阶微分变换方法的有效性，并确定受UHMWPE样品中辐射引起的变化影响的IR光谱的特定区域。总的来说,这项研究提出了一种新的方法来识别UHMWPE聚合物样品中辐射诱导的变化，该方法比现有技术更灵敏和准确。通过识别这些变化，研究人员可以更好地了解伽玛灭菌对医疗设备的影响，并有可能开发出不会损坏设备的新灭菌方法。
