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.
GC-MS qualitative analysis of the volatile, semivolatile and volatilizable fractions of soil evidence for forensic application: A chemical fingerprinting
Profumo A.;Gorroni A.;Mellerio G. G.;Cucca L.;Merli D.
2020-01-01
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
