Dipartimento di Chimica, Università Degli Studi di Pavia, 27100, Pavia, Italy.
Dipartimento di Chimica, Università Degli Studi di Pavia, 27100, Pavia, Italy.
Talanta. 2020 Nov 1;219:121304. doi: 10.1016/j.talanta.2020.121304. Epub 2020 Jun 30.
This paper proposes a GC-MS analytical method that can be used in forensic investigations, for comparative or provenance studies of soils with the aim to reconnect the evidence to their origin. The volatile, semi-volatile and volatilizable compounds present in soil samples of different sources have been extracted and qualitatively analyzed by GC-MS. The different fractions were extracted by ultrasonic assisted extraction (UAE), and the volatilizable compounds were derivatized by BSTFA-TMCS as silylating agent. Sixty-five soil samples from different locations in northern Italy were collected, analyzed and a GC-MS "fingerprint database" has been created in order to easily access the data for the unknown soil sample provenance obtained with the same procedure and GC apparatus. With this purpose, the origin of blind samples, chosen randomly from those collected, was identified based on a qualitative comparison of the MS chromatographic profiles, which obviates the need for quantitative analyses.
本文提出了一种 GC-MS 分析方法,可用于法医调查,用于比较或来源研究具有不同来源的土壤,旨在将证据与其来源重新联系起来。通过 GC-MS 对不同来源的土壤样品中的挥发性、半挥发性和可挥发化合物进行了提取和定性分析。通过超声辅助提取(UAE)提取不同的馏分,并使用 BSTFA-TMCS 作为硅烷化试剂对可挥发化合物进行衍生化。从意大利北部不同地点采集了 65 个土壤样品进行分析,并创建了一个 GC-MS“指纹数据库”,以便可以轻松访问使用相同程序和 GC 仪器获得的未知土壤样品来源的数据。为此,基于 MS 色谱图的定性比较,从收集的盲样中随机选择,确定了盲样的来源,而无需进行定量分析。