Header

UZH-Logo

Maintenance Infos

Quantification of classic, prescription and synthetic opioids in hair by LC–MS-MS


Platosz, Natalia A; Binz, Tina Maria; Baumgartner, Markus R; Lendoiro, Elena; de Castro, Ana; Concheiro, Marta (2020). Quantification of classic, prescription and synthetic opioids in hair by LC–MS-MS. Journal of analytical toxicology:Epub ahead of print.

Abstract

The current use and misuse of synthetic and prescription opioids in the USA has reached epidemic status. According to the US Department of Health and Human Services, every day more than 130 people in the USA die after overdosing on opioids, and 2.1 million had an opioid use disorder in 2018. Hair is becoming an alternative matrix of increasing interest in forensic toxicology to investigate drug use and abuse patterns due to its long window of detection. The focus of this project was to develop and validate a method that simultaneously detects and quantifies 27 classic, prescription and synthetic opioids in hair by liquid chromatography–tandem mass spectrometry (LC–MS-MS). Hair samples were decontaminated and pulverized in a bead mill. Twenty-five milligrams of hair powder were incubated in a buffer overnight. Mixed mode cation exchange solid phase extraction was carried out before undergoing reversed-phase chromatographic separation, successfully resolving isobaric opioids. We used two multiple reaction monitoring transitions in positive mode to identify each analyte. The linearity range was 1–500 pg/mg for fentanyl and synthetic opioids and 10–500 pg/mg for prescription and classic opioids. Imprecision was <17.5% and bias ranged from −13.6 to 12.0%. Majority of compounds showed extraction efficiency >50%, and ion suppression from −89.2 to −26.6% (CV < 19%, n = 10). This method was applied to 64 authentic cases, identifying 13 compounds from our panel. A sensitive and specific method was developed for the identification and quantification of 27 classic, prescription and synthetic opioids in hair by LC–MS-MS.

Abstract

The current use and misuse of synthetic and prescription opioids in the USA has reached epidemic status. According to the US Department of Health and Human Services, every day more than 130 people in the USA die after overdosing on opioids, and 2.1 million had an opioid use disorder in 2018. Hair is becoming an alternative matrix of increasing interest in forensic toxicology to investigate drug use and abuse patterns due to its long window of detection. The focus of this project was to develop and validate a method that simultaneously detects and quantifies 27 classic, prescription and synthetic opioids in hair by liquid chromatography–tandem mass spectrometry (LC–MS-MS). Hair samples were decontaminated and pulverized in a bead mill. Twenty-five milligrams of hair powder were incubated in a buffer overnight. Mixed mode cation exchange solid phase extraction was carried out before undergoing reversed-phase chromatographic separation, successfully resolving isobaric opioids. We used two multiple reaction monitoring transitions in positive mode to identify each analyte. The linearity range was 1–500 pg/mg for fentanyl and synthetic opioids and 10–500 pg/mg for prescription and classic opioids. Imprecision was <17.5% and bias ranged from −13.6 to 12.0%. Majority of compounds showed extraction efficiency >50%, and ion suppression from −89.2 to −26.6% (CV < 19%, n = 10). This method was applied to 64 authentic cases, identifying 13 compounds from our panel. A sensitive and specific method was developed for the identification and quantification of 27 classic, prescription and synthetic opioids in hair by LC–MS-MS.

Statistics

Citations

Dimensions.ai Metrics

Altmetrics

Downloads

0 downloads since deposited on 21 Dec 2020
0 downloads since 12 months

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Institute of Legal Medicine
Dewey Decimal Classification:340 Law
610 Medicine & health
510 Mathematics
Uncontrolled Keywords:Toxicology, Analytical Chemistry, Health, Toxicology and Mutagenesis, Chemical Health and Safety, Environmental Chemistry
Language:English
Date:7 October 2020
Deposited On:21 Dec 2020 14:34
Last Modified:19 Feb 2021 08:58
Publisher:Preston Publications
ISSN:0146-4760
OA Status:Closed
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1093/jat/bkaa152
PubMed ID:33027514

Download

Closed Access: Download allowed only for UZH members