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用于法医和安全应用的爆炸物激光解吸-离子迁移谱分析

Laser Desorption-Ion Mobility Spectrometry of Explosives for Forensic and Security Applications.

作者信息

Felizzato Giorgio, Sabo Martin, Petrìk Matej, Romolo Francesco Saverio

机构信息

Department of Law, University of Bergamo, Via Moroni 255, 24127 Bergamo, Italy.

Department of Drug Science and Technology, University of Turin, Via Giuria 9, 10125 Torino, Italy.

出版信息

Molecules. 2025 Jan 1;30(1):138. doi: 10.3390/molecules30010138.

Abstract

BACKGROUND

The detection of explosives in crime scene investigations is critical for forensic science. This study explores the application of laser desorption (LD) ion mobility spectrometry (IMS) as a novel method for this purpose utilising a new IMS prototype developed by MaSaTECH.

METHODS

The LD sampling technique employs a laser diode module to vaporise explosive traces on surfaces, allowing immediate analysis by IMS without sample preparation. Chemometric approaches, including multivariate data analysis, were utilised for data processing and interpretation, including pre-processing of raw IMS plasmagrams and various pattern recognition techniques, such as linear discriminant analysis (LDA) and support vector machines (SVMs).

RESULTS

The IMS prototype was validated through experiments with pure explosives (TNT, RDX, PETN) and explosive products (SEMTEX 1A, C4) on different materials. The study found that the pre-processing method significantly impacts classification accuracy, with the PCA-LDA model demonstrating the best performance for real-world applications.

CONCLUSIONS

The LD-IMS prototype, coupled with effective chemometric techniques, presents a promising methodology for the detection of explosives in forensic investigations, enhancing the reliability of field applications.

摘要

背景

在犯罪现场调查中检测爆炸物对法医学至关重要。本研究探索了激光解吸(LD)离子迁移谱(IMS)作为一种为此目的的新方法的应用,该方法利用了MaSaTECH开发的新型IMS原型。

方法

LD采样技术采用激光二极管模块使表面上的爆炸物痕迹汽化,无需样品制备即可由IMS立即进行分析。化学计量学方法,包括多变量数据分析,用于数据处理和解释,包括原始IMS等离子图的预处理以及各种模式识别技术,如线性判别分析(LDA)和支持向量机(SVM)。

结果

通过使用不同材料上的纯爆炸物(TNT、RDX、PETN)和爆炸物产品(SEMTEX 1A、C4)进行实验,对IMS原型进行了验证。研究发现,预处理方法对分类准确率有显著影响,PCA-LDA模型在实际应用中表现出最佳性能。

结论

LD-IMS原型与有效的化学计量学技术相结合,为法医调查中的爆炸物检测提供了一种有前景的方法,提高了现场应用的可靠性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19e8/11722068/6b31bdd28043/molecules-30-00138-g001.jpg

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