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稳定同位素和痕量污染物浓度的整合增强了法医学中丙酮的鉴别。

Integration of stable isotope and trace contaminant concentration for enhanced forensic acetone discrimination.

机构信息

Pacific Northwest National Laboratory, Chemical and Biological Signature Sciences Group, Richland, WA 99352, USA.

出版信息

Talanta. 2013 Nov 15;116:866-9. doi: 10.1016/j.talanta.2013.07.015. Epub 2013 Jul 18.

Abstract

We analyzed 21 neat acetone samples from 15 different suppliers to demonstrate the utility of a coupled stable isotope and trace contaminant strategy for distinguishing forensically-relevant samples. By combining these two pieces of orthogonal data we could discriminate all of the acetones that were produced by the 15 different suppliers. Using stable isotope ratios alone, we were able to distinguish 8 acetone samples, while the remaining 13 fell into four clusters with highly similar signatures. Adding trace chemical contaminant information enhanced discrimination to 13 individual acetones with three residual clusters. The acetones within each cluster shared a common manufacturer and might, therefore, not be expected to be resolved. The data presented here demonstrates the power of combining orthogonal data sets to enhance sample fingerprinting and highlights the role disparate data could play in future forensic investigations.

摘要

我们分析了来自 15 个不同供应商的 21 个纯净丙酮样本,以展示耦合稳定同位素和痕量污染物策略在区分法证相关样本方面的实用性。通过结合这两条正交数据,我们可以区分出所有由 15 个不同供应商生产的丙酮。仅使用稳定同位素比值,我们能够区分 8 个丙酮样本,而其余 13 个样本分为四个具有高度相似特征的聚类。添加痕量化学污染物信息后,可将 13 个丙酮样本进一步区分,剩下的三个聚类具有高度相似的特征。每个聚类中的丙酮都来自同一个制造商,因此,预计无法分辨。这里呈现的数据证明了结合正交数据集来增强样本特征识别的强大功能,并强调了不同数据在未来法证调查中可能发挥的作用。

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