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Assessment of licit and illicit drugs consumption during pregnancy by Ultra-High Performance Liquid Chromatography-High Resolution Mass Spectrometry (UHPLC-HRMS) target screening in Mexican women hair.
- Source :
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Journal of pharmaceutical and biomedical analysis [J Pharm Biomed Anal] 2022 Mar 20; Vol. 211, pp. 114607. Date of Electronic Publication: 2022 Jan 22. - Publication Year :
- 2022
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Abstract
- Substance use in pregnancy is a global public health problem, both in developed and developing countries. Whereas information is available for major western countries, scarce data are present for the second ones. The objective assessment of pregnancy consumption of xenobiotic is provided by analysis of maternal hair, which can account for gestational consumption, given the possibility to analyze 9 cm hair corresponding to the pregnancy months. Here, we describe an ultra-high-performance liquid chromatography high-resolution mass spectrometry (UHPLC-HRMS) method used as screening analysis of classic drugs, new psychoactive substances and medications in hair from a cohort of pregnant Mexican women. The UHPLC-HRMS method included Accucore™ phenyl Hexyl (100 × 2.1 mm, 2.6 µm, Thermo, USA) column with a gradient mobile phase and a full-scan data-dependent MS2 (ddMS2) mode for substances identification (mass range 100-750 m/z). Results from the first 100 samples disclosed the presence of several undeclared and declared psychoactive substances and medications, being methamphetamine and paracetamol the most prevalent ones found in 20% and 43% cases, respectively. In addition, biomarkers of cannabis and tobacco use as well as those of antihistamines and antiemetic drugs were also prevalent. Albeit preliminary, these data confirm the feasibility of hair screening by UHPLC-HRMS to objectively assess xenobiotic consumption in pregnant women with consequent risk of fetal exposure to toxic substances.<br /> (Copyright © 2022 Elsevier B.V. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1873-264X
- Volume :
- 211
- Database :
- MEDLINE
- Journal :
- Journal of pharmaceutical and biomedical analysis
- Publication Type :
- Academic Journal
- Accession number :
- 35101801
- Full Text :
- https://doi.org/10.1016/j.jpba.2022.114607