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象牙与骨质象牙替代品——非侵入式衍射鉴别

Ivory vs. osseous ivory substitutes-Non-invasive diffractometric discrimination.

作者信息

Hoelzig H, Muenster T, Blanke S, Kloess G, Garmasukis R, Koenig A

机构信息

Institute of Mineralogy, Crystallography and Materials Science, Leipzig University, Germany.

Institute of Mineralogy, Crystallography and Materials Science, Leipzig University, Germany.

出版信息

Forensic Sci Int. 2020 Mar;308:110159. doi: 10.1016/j.forsciint.2020.110159. Epub 2020 Jan 24.

Abstract

A new discrimination method for the bioapatite materials bone, antler and ivory was developed using X-ray diffractometry and comprises non-invasive measurements in order to take valuable objects into account. Our approach deals with the analysis of peak intensity ratios resulting from several measurements on each object. For instance, the intensity ratio of the apatite reflections 002 and 310 has been described in the literature as representing the degree of apatite crystal orientation and varies depending on the sample orientation. The decisive factor for the material identification is the value dispersion of intensity ratios resulting from the total of all measurements on one object. This pattern of data points, visualised via kernel density estimation (KDE), is characteristic for ivory, bone and antler, respectively, and enables the discrimination of these materials. The observation is justifiable since apatite crystal orientation adapts to the collagen fibre arrangement which shows major differences between different sorts of bioapatite materials. The patterns of data points were received via analysis of 88 objects made of bone (n = 30), antler (n = 27) and ivory (n = 31). In order to verify several identifications X-ray computer tomography was supplemented. The presented method usefully supplements already existing approaches concerning microscopic, elementary and biochemical analyses.

摘要

利用X射线衍射法开发了一种用于鉴别生物磷灰石材料骨骼、鹿角和象牙的新方法,该方法包括非侵入性测量,以便考虑到有价值的物体。我们的方法涉及对每个物体进行多次测量所得到的峰强度比的分析。例如,文献中描述磷灰石反射峰002和310的强度比代表磷灰石晶体的取向程度,并且会根据样品的取向而变化。材料识别的决定性因素是对一个物体进行所有测量得到的强度比的值分散情况。通过核密度估计(KDE)可视化的这种数据点模式分别是象牙、骨骼和鹿角的特征,并且能够区分这些材料。这种观察是合理的,因为磷灰石晶体取向适应于胶原纤维排列,而不同种类的生物磷灰石材料之间的胶原纤维排列存在重大差异。通过对88个由骨骼(n = 30)、鹿角(n = 27)和象牙(n = 31)制成的物体进行分析得到了数据点模式。为了验证多次鉴别结果,补充了X射线计算机断层扫描。所提出的方法有效地补充了现有的关于微观、元素和生化分析的方法。

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