<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>28(1)</volume><submitter>Gosetti F</submitter><pubmed_abstract>According to the 2021 World Drug Report, around 275 million people use drugs of abuse, and 36 million people suffer from addiction, fostering a thriving market for illicit substances. In Italy, 30,083 people were reported to the Judicial Authority for offenses in violation of the Italian Law D.P.R. 309/1990. These offences are sentenced after a qualitative-quantitative analysis of seized materials. Given the large quantity of seized drugs and the need to perform accurate analytical determinations, Italian forensic laboratories struggle to complete analyses in a short time, delaying the entire reporting process needed to achieve sentencing. For this purpose, an UHPLC-MS/MS-based platform was developed at the University of Milano-Bicocca to support law-enforcement authorities. Software was designed to easily manage street seizure acquisition, documentation registration, and sampling. A sensitive UHPLC-MS/MS method was fully validated for the quantification of the traditional illicit substances (cocaine, heroin, 6-MAM, morphine, amphetamine, methamphetamine, MDMA, ketamine, GHB, GBL, LSD, trans-∆9-THC, and THCA) at the ppb level. The final report is relayed to the Prefecture in 3-4 days, even within 24 h for urgent requests. The platform allows for semi-automatic data handling to minimize erroneous results for an accurate report generation by standardized procedures.</pubmed_abstract><journal>Molecules (Basel, Switzerland)</journal><pagination>164</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9822244</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>From the Streets to the Judicial Evidence: Determination of Traditional Illicit Substances in Drug Seizures by a Rapid and Sensitive UHPLC-MS/MS-Based Platform.</pubmed_title><pmcid>PMC9822244</pmcid><pubmed_authors>Ballabio D</pubmed_authors><pubmed_authors>Valeria Picci M</pubmed_authors><pubmed_authors>Orlandi ME</pubmed_authors><pubmed_authors>Amodio A</pubmed_authors><pubmed_authors>Gosetti F</pubmed_authors><pubmed_authors>Termopoli V</pubmed_authors><pubmed_authors>Visentin M</pubmed_authors><pubmed_authors>Consonni V</pubmed_authors></additional><is_claimable>false</is_claimable><name>From the Streets to the Judicial Evidence: Determination of Traditional Illicit Substances in Drug Seizures by a Rapid and Sensitive UHPLC-MS/MS-Based Platform.</name><description>According to the 2021 World Drug Report, around 275 million people use drugs of abuse, and 36 million people suffer from addiction, fostering a thriving market for illicit substances. In Italy, 30,083 people were reported to the Judicial Authority for offenses in violation of the Italian Law D.P.R. 309/1990. These offences are sentenced after a qualitative-quantitative analysis of seized materials. Given the large quantity of seized drugs and the need to perform accurate analytical determinations, Italian forensic laboratories struggle to complete analyses in a short time, delaying the entire reporting process needed to achieve sentencing. For this purpose, an UHPLC-MS/MS-based platform was developed at the University of Milano-Bicocca to support law-enforcement authorities. Software was designed to easily manage street seizure acquisition, documentation registration, and sampling. A sensitive UHPLC-MS/MS method was fully validated for the quantification of the traditional illicit substances (cocaine, heroin, 6-MAM, morphine, amphetamine, methamphetamine, MDMA, ketamine, GHB, GBL, LSD, trans-∆9-THC, and THCA) at the ppb level. The final report is relayed to the Prefecture in 3-4 days, even within 24 h for urgent requests. The platform allows for semi-automatic data handling to minimize erroneous results for an accurate report generation by standardized procedures.</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Dec</publication><modification>2024-11-21T06:23:33.969Z</modification><creation>2024-11-21T06:23:33.969Z</creation></dates><accession>S-EPMC9822244</accession><cross_references><pubmed>36615358</pubmed><doi>10.3390/molecules28010164</doi></cross_references></HashMap>