Automated enzymatic hydrolysis of urine samples for improved systematic toxicological analysis of drug-facilitated sexual assault cases

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Standard

Automated enzymatic hydrolysis of urine samples for improved systematic toxicological analysis of drug-facilitated sexual assault cases. / Skov, Kathrine; Johansen, Sys Stybe; Linnet, Kristian; Nielsen, Marie Katrine Klose.

I: Drug Testing and Analysis, 2024.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Skov, K, Johansen, SS, Linnet, K & Nielsen, MKK 2024, 'Automated enzymatic hydrolysis of urine samples for improved systematic toxicological analysis of drug-facilitated sexual assault cases', Drug Testing and Analysis. https://doi.org/10.1002/dta.3640

APA

Skov, K., Johansen, S. S., Linnet, K., & Nielsen, M. K. K. (Accepteret/In press). Automated enzymatic hydrolysis of urine samples for improved systematic toxicological analysis of drug-facilitated sexual assault cases. Drug Testing and Analysis. https://doi.org/10.1002/dta.3640

Vancouver

Skov K, Johansen SS, Linnet K, Nielsen MKK. Automated enzymatic hydrolysis of urine samples for improved systematic toxicological analysis of drug-facilitated sexual assault cases. Drug Testing and Analysis. 2024. https://doi.org/10.1002/dta.3640

Author

Skov, Kathrine ; Johansen, Sys Stybe ; Linnet, Kristian ; Nielsen, Marie Katrine Klose. / Automated enzymatic hydrolysis of urine samples for improved systematic toxicological analysis of drug-facilitated sexual assault cases. I: Drug Testing and Analysis. 2024.

Bibtex

@article{032ddae1388a451581097a61321168de,
title = "Automated enzymatic hydrolysis of urine samples for improved systematic toxicological analysis of drug-facilitated sexual assault cases",
abstract = "Drug-facilitated sexual assault (DFSA) is characterized by victim incapacitation due to intoxicating substances. Detection of single drug exposure from DFSA requires a systematic toxicological analysis strategy including sensitive methods covering a broad spectrum of substances. The aim of this study was to develop and validate an UHPLC–MS/MS screening method for analysis of samples from DFSA cases and incorporate an automated enzymatic pre-treatment of urine samples into a robotic sample preparation for an efficient laboratory workflow. The screening method included 144 drugs of abuse, pharmaceuticals, and metabolites relevant to DFSA. The use of a recombinant enzyme showed an efficient glucuronide hydrolysis with an average parent drug recovery of 97%. Investigation of matrix effect showed no pronounced ion enhancement or suppression for most analytes (96%), and extraction recovery was above 80% for 97% of analytes. Process efficiency ranged from 50% to 138% for most analytes. The LODs ranged from 0.0001 mg/L to 2 mg/L depending on analyte, and most analytes met the SOFT recommended minimum performance limits. The validated method was applied to authentic suspected DFSA cases (n = 38). Results showed that drugs of abuse, benzodiazepines, and antidepressants were most commonly found in suspected DFSA cases. Incorporation of an automated enzymatic hydrolysis step during sample preparation enables a fast and simple workflow for simultaneous analysis of blood and urine samples for an improved systematic toxicological analysis strategy for DFSA cases.",
keywords = "DFSA, recombinant enzymes, sample preparation, STA, urine",
author = "Kathrine Skov and Johansen, {Sys Stybe} and Kristian Linnet and Nielsen, {Marie Katrine Klose}",
note = "Funding information: This product is financially supported by the Danish Victims Fund (grant number 20-610-0092). The author is responsible for the execution, content, and results of the product. Assessments and views that appear in the product belongs to the author and is not necessarily shared by the Council of the Danish Victims Fund.",
year = "2024",
doi = "10.1002/dta.3640",
language = "English",
journal = "Drug Testing and Analysis",
issn = "1942-7603",
publisher = "JohnWiley & Sons Ltd",

}

RIS

TY - JOUR

T1 - Automated enzymatic hydrolysis of urine samples for improved systematic toxicological analysis of drug-facilitated sexual assault cases

AU - Skov, Kathrine

AU - Johansen, Sys Stybe

AU - Linnet, Kristian

AU - Nielsen, Marie Katrine Klose

N1 - Funding information: This product is financially supported by the Danish Victims Fund (grant number 20-610-0092). The author is responsible for the execution, content, and results of the product. Assessments and views that appear in the product belongs to the author and is not necessarily shared by the Council of the Danish Victims Fund.

PY - 2024

Y1 - 2024

N2 - Drug-facilitated sexual assault (DFSA) is characterized by victim incapacitation due to intoxicating substances. Detection of single drug exposure from DFSA requires a systematic toxicological analysis strategy including sensitive methods covering a broad spectrum of substances. The aim of this study was to develop and validate an UHPLC–MS/MS screening method for analysis of samples from DFSA cases and incorporate an automated enzymatic pre-treatment of urine samples into a robotic sample preparation for an efficient laboratory workflow. The screening method included 144 drugs of abuse, pharmaceuticals, and metabolites relevant to DFSA. The use of a recombinant enzyme showed an efficient glucuronide hydrolysis with an average parent drug recovery of 97%. Investigation of matrix effect showed no pronounced ion enhancement or suppression for most analytes (96%), and extraction recovery was above 80% for 97% of analytes. Process efficiency ranged from 50% to 138% for most analytes. The LODs ranged from 0.0001 mg/L to 2 mg/L depending on analyte, and most analytes met the SOFT recommended minimum performance limits. The validated method was applied to authentic suspected DFSA cases (n = 38). Results showed that drugs of abuse, benzodiazepines, and antidepressants were most commonly found in suspected DFSA cases. Incorporation of an automated enzymatic hydrolysis step during sample preparation enables a fast and simple workflow for simultaneous analysis of blood and urine samples for an improved systematic toxicological analysis strategy for DFSA cases.

AB - Drug-facilitated sexual assault (DFSA) is characterized by victim incapacitation due to intoxicating substances. Detection of single drug exposure from DFSA requires a systematic toxicological analysis strategy including sensitive methods covering a broad spectrum of substances. The aim of this study was to develop and validate an UHPLC–MS/MS screening method for analysis of samples from DFSA cases and incorporate an automated enzymatic pre-treatment of urine samples into a robotic sample preparation for an efficient laboratory workflow. The screening method included 144 drugs of abuse, pharmaceuticals, and metabolites relevant to DFSA. The use of a recombinant enzyme showed an efficient glucuronide hydrolysis with an average parent drug recovery of 97%. Investigation of matrix effect showed no pronounced ion enhancement or suppression for most analytes (96%), and extraction recovery was above 80% for 97% of analytes. Process efficiency ranged from 50% to 138% for most analytes. The LODs ranged from 0.0001 mg/L to 2 mg/L depending on analyte, and most analytes met the SOFT recommended minimum performance limits. The validated method was applied to authentic suspected DFSA cases (n = 38). Results showed that drugs of abuse, benzodiazepines, and antidepressants were most commonly found in suspected DFSA cases. Incorporation of an automated enzymatic hydrolysis step during sample preparation enables a fast and simple workflow for simultaneous analysis of blood and urine samples for an improved systematic toxicological analysis strategy for DFSA cases.

KW - DFSA

KW - recombinant enzymes

KW - sample preparation

KW - STA

KW - urine

U2 - 10.1002/dta.3640

DO - 10.1002/dta.3640

M3 - Journal article

C2 - 38263626

AN - SCOPUS:85183021255

JO - Drug Testing and Analysis

JF - Drug Testing and Analysis

SN - 1942-7603

ER -

ID: 381498370