The country or mine of origin is an important economic and societal issue inherent in the diamond industry. Consumers increasingly want to know the provenance of their diamonds to ensure their purchase does not support inhumane working conditions. Governments around the world reduce the flow of conflict diamonds via paper certificates through the Kimberley Process, a United Nations mandate. However, certificates can be subject to fraud and do not provide a failsafe solution to stopping the flow of illicit diamonds. A solution tied to the diamonds themselves that can withstand the cutting and manufacturing process is required. Here, we show that multivariate analysis of LIBS (laser-induced breakdown spectroscopy) diamond spectra predicts the mine of origin at greater than 95% accuracy, distinguishes between natural and synthetic stones, and distinguishes between synthetic stones manufactured in different laboratories by different methods. Two types of spectral features, elemental emission peaks and emission clusters from C-N and C-C molecules, are significant in the analysis, indicating that the provenance signal is contained in the carbon structure itself rather than in inclusions.

中文翻译：

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钻石证明自己：多元统计来源分析

原产国或矿山是钻石行业固有的重要经济和社会问题。消费者越来越想知道他们的钻石的来源，以确保他们购买的钻石不支持不人道的工作条件。世界各国政府通过联合国金伯利进程通过纸质证书减少冲突钻石的流动。但是，证书可能会受到欺诈，并且不能提供阻止故障钻石流动的故障保护解决方案。需要一种与钻石本身相关的解决方案，该解决方案可以承受切割和制造过程。在这里，我们证明了LIBS（激光诱导击穿光谱）钻石光谱的多变量分析预测原矿的准确性超过95％，可以区分天然宝石和合成宝石，并区分通过不同方法在不同实验室生产的人造石。在分析中，两种类型的光谱特征（元素发射峰和CN和CC分子的发射簇）很重要，这表明出处信号包含在碳结构本身而不是包含物中。