Targeted and non-targeted drug screening in whole blood by UHPLC-TOF-MS with data-independent acquisition

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Standard

Targeted and non-targeted drug screening in whole blood by UHPLC-TOF-MS with data-independent acquisition. / Mollerup, Christian Brinch; Dalsgaard, Petur Weihe; Mardal, Marie; Linnet, Kristian.

I: Drug Testing and Analysis, Bind 9, Nr. 7, 07.2017, s. 1052–1061.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Mollerup, CB, Dalsgaard, PW, Mardal, M & Linnet, K 2017, 'Targeted and non-targeted drug screening in whole blood by UHPLC-TOF-MS with data-independent acquisition', Drug Testing and Analysis, bind 9, nr. 7, s. 1052–1061. https://doi.org/10.1002/dta.2120

APA

Mollerup, C. B., Dalsgaard, P. W., Mardal, M., & Linnet, K. (2017). Targeted and non-targeted drug screening in whole blood by UHPLC-TOF-MS with data-independent acquisition. Drug Testing and Analysis, 9(7), 1052–1061. https://doi.org/10.1002/dta.2120

Vancouver

Mollerup CB, Dalsgaard PW, Mardal M, Linnet K. Targeted and non-targeted drug screening in whole blood by UHPLC-TOF-MS with data-independent acquisition. Drug Testing and Analysis. 2017 jul.;9(7):1052–1061. https://doi.org/10.1002/dta.2120

Author

Mollerup, Christian Brinch ; Dalsgaard, Petur Weihe ; Mardal, Marie ; Linnet, Kristian. / Targeted and non-targeted drug screening in whole blood by UHPLC-TOF-MS with data-independent acquisition. I: Drug Testing and Analysis. 2017 ; Bind 9, Nr. 7. s. 1052–1061.

Bibtex

@article{0cdea7ed13a84c08bd2c065eb86db71c,
title = "Targeted and non-targeted drug screening in whole blood by UHPLC-TOF-MS with data-independent acquisition",
abstract = "High-resolution mass spectrometry (HRMS) is widely used for the drug screening of biological samples in clinical and forensic laboratories. With the continuous addition of new psychoactive substances (NPS), keeping such methods updated is challenging. HRMS allows for combined targeted and non-targeted screening; first, peaks are identified by software algorithms, and identifications are based on reference standard data. Remaining unknown peaks are attempted identified with in silico and literature data. However, several thousand peaks remain where most are unidentifiable or uninteresting in drug screening. The aims of the study were to apply a combined targeted and non-targeted screening approach to authentic driving-under-the-influence-of-drugs (DUID) samples (n = 44) and further validate the approach using whole-blood samples spiked with eleven low-dose synthetic benzodiazepine analogues (SBA). Analytical data were acquired using ultra-high-performance liquid chromatography coupled with a time-of-flight mass spectrometer (UHPLC-TOF-MS) with data-independent acquisition (DIA). We present a combined targeted and non-targeted screening, where peak deconvolution and filtering reduced the number of peaks to inspect by three orders of magnitude, down to four peaks per DUID sample. The screening allowed for tentative identification of metabolites and drugs not included in the initial screening, and three drugs and thirteen metabolites were tentatively identified in the authentic DUID samples. Running targeted-screening true-positive identifications through the filters retained 73% of identifications. In the non-targeted screening, nine of the spiked SBAs were identified in the concentration range of 0.005-0.1 mg/kg, of which three were tentatively identified at concentrations below those reported in the literature.",
author = "Mollerup, {Christian Brinch} and Dalsgaard, {Petur Weihe} and Marie Mardal and Kristian Linnet",
note = "This article is protected by copyright. All rights reserved.",
year = "2017",
month = jul,
doi = "10.1002/dta.2120",
language = "English",
volume = "9",
pages = "1052–1061",
journal = "Drug Testing and Analysis",
issn = "1942-7603",
publisher = "JohnWiley & Sons Ltd",
number = "7",

}

RIS

TY - JOUR

T1 - Targeted and non-targeted drug screening in whole blood by UHPLC-TOF-MS with data-independent acquisition

AU - Mollerup, Christian Brinch

AU - Dalsgaard, Petur Weihe

AU - Mardal, Marie

AU - Linnet, Kristian

N1 - This article is protected by copyright. All rights reserved.

PY - 2017/7

Y1 - 2017/7

N2 - High-resolution mass spectrometry (HRMS) is widely used for the drug screening of biological samples in clinical and forensic laboratories. With the continuous addition of new psychoactive substances (NPS), keeping such methods updated is challenging. HRMS allows for combined targeted and non-targeted screening; first, peaks are identified by software algorithms, and identifications are based on reference standard data. Remaining unknown peaks are attempted identified with in silico and literature data. However, several thousand peaks remain where most are unidentifiable or uninteresting in drug screening. The aims of the study were to apply a combined targeted and non-targeted screening approach to authentic driving-under-the-influence-of-drugs (DUID) samples (n = 44) and further validate the approach using whole-blood samples spiked with eleven low-dose synthetic benzodiazepine analogues (SBA). Analytical data were acquired using ultra-high-performance liquid chromatography coupled with a time-of-flight mass spectrometer (UHPLC-TOF-MS) with data-independent acquisition (DIA). We present a combined targeted and non-targeted screening, where peak deconvolution and filtering reduced the number of peaks to inspect by three orders of magnitude, down to four peaks per DUID sample. The screening allowed for tentative identification of metabolites and drugs not included in the initial screening, and three drugs and thirteen metabolites were tentatively identified in the authentic DUID samples. Running targeted-screening true-positive identifications through the filters retained 73% of identifications. In the non-targeted screening, nine of the spiked SBAs were identified in the concentration range of 0.005-0.1 mg/kg, of which three were tentatively identified at concentrations below those reported in the literature.

AB - High-resolution mass spectrometry (HRMS) is widely used for the drug screening of biological samples in clinical and forensic laboratories. With the continuous addition of new psychoactive substances (NPS), keeping such methods updated is challenging. HRMS allows for combined targeted and non-targeted screening; first, peaks are identified by software algorithms, and identifications are based on reference standard data. Remaining unknown peaks are attempted identified with in silico and literature data. However, several thousand peaks remain where most are unidentifiable or uninteresting in drug screening. The aims of the study were to apply a combined targeted and non-targeted screening approach to authentic driving-under-the-influence-of-drugs (DUID) samples (n = 44) and further validate the approach using whole-blood samples spiked with eleven low-dose synthetic benzodiazepine analogues (SBA). Analytical data were acquired using ultra-high-performance liquid chromatography coupled with a time-of-flight mass spectrometer (UHPLC-TOF-MS) with data-independent acquisition (DIA). We present a combined targeted and non-targeted screening, where peak deconvolution and filtering reduced the number of peaks to inspect by three orders of magnitude, down to four peaks per DUID sample. The screening allowed for tentative identification of metabolites and drugs not included in the initial screening, and three drugs and thirteen metabolites were tentatively identified in the authentic DUID samples. Running targeted-screening true-positive identifications through the filters retained 73% of identifications. In the non-targeted screening, nine of the spiked SBAs were identified in the concentration range of 0.005-0.1 mg/kg, of which three were tentatively identified at concentrations below those reported in the literature.

U2 - 10.1002/dta.2120

DO - 10.1002/dta.2120

M3 - Journal article

C2 - 27750404

VL - 9

SP - 1052

EP - 1061

JO - Drug Testing and Analysis

JF - Drug Testing and Analysis

SN - 1942-7603

IS - 7

ER -

ID: 167911618