Tikhonov Denis S, Kalinin Mikhail A, Maryewski Alexander A, Avdoshin Aleksandr A, Dallakyan Olgert, Vasilev Nikita A, Eliseev Egor A, Koch Mandy, Rybkin Vladimir V, Artiukhin Denis G
Deutsches Elektronen-Synchrotron DESY, Hamburg, Germany.
Free Moscow University, Moscow, Russia.
J Comput Chem. 2025 Jun 30;46(17):e70148. doi: 10.1002/jcc.70148.
A recent increase in targeted attacks using chemical warfare agents by dictators and authoritarian regimes against politicians, journalists, and other civilians is a major concern. To aid the civil investigators in identifying poisonous substances in such cases, we developed an algorithm and a lightweight and simple-to-use software, , with a database of 400 electron ionization mass spectra entries, which include many poisonous and explosive agents. The identification relies on a window-based reduction of the experimental spectra and four statistical metrics that are combined into a single metametric. The software also features automatic spectral background removal. Furthermore, we provide the workflow for increasing the size of this database by performing theoretical calculations of mass spectra with a molecular dynamics-based approach. The accuracy of both the theoretical prediction workflow and is validated on the experimental spectra. Our results demonstrate that the proposed software package can aid in the preliminary identification of traces of poisonous and explosive substances.
独裁者和专制政权最近使用化学战剂对政治家、记者和其他平民发动的针对性攻击有所增加,这是一个重大关切问题。为了帮助民事调查人员在此类案件中识别有毒物质,我们开发了一种算法和一款轻量级且易于使用的软件,该软件拥有一个包含400个电子电离质谱条目的数据库,其中包括许多有毒和爆炸物制剂。识别过程依赖于基于窗口的实验光谱缩减以及四个统计指标,这些指标被组合成一个单一的元指标。该软件还具有自动去除光谱背景的功能。此外,我们提供了通过基于分子动力学方法进行质谱理论计算来增加该数据库规模的工作流程。理论预测工作流程和该软件的准确性均在实验光谱上得到了验证。我们的结果表明,所提出的软件包有助于对有毒和爆炸物质痕迹进行初步识别。