JOURNAL ARTICLE
Analysis, Stability and Distribution of Pharmaceuticals and Drugs of Abuse over a Period of One Year in Formalin-Fixed Liver and Formalin Solutions.
Published In: Journal of Analytical Toxicology, 2023, v. 47, n. 2. P. 182 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Orfanidis, Amvrosios; Gika, Helen; Theodoridis, Georgios; Chatziioannou, Anastasia Chrysovalantou; Raikos, Nikolaos 3 of 3
Abstract
This article focuses on the development and application of a validated ultra high performance liquid chromatography–tandem mass spectrometry (UHPLC–MS-MS) method for analyzing the stability of 84 drugs of abuse and pharmaceuticals in formalin-fixed human liver tissues and corresponding formalin solutions over a 12-month period. The study, involving 14 forensic cases with known drug use, found that drug detectability significantly decreases over time in fixed tissues, with only 17% of initially detected substances remaining after one year, while some drugs showed migration into the formalin solution. Specific findings include the persistence of methadone and certain benzodiazepines (e.g., diazepam, 7-aminoflunitrazepam) in both tissues and formalin for up to 12 months, whereas morphine was undetectable post-fixation. These results provide important forensic toxicology insights for interpreting toxicological analyses when only formalin-fixed tissues or solutions are available, although they do not allow for quantitative conclusions regarding cause of death.
Additional Information
- Source:Journal of Analytical Toxicology. 2023/03, Vol. 47, Issue 2, p182
- Document Type:Article
- Subject Area:Chemistry
- Publication Date:2023
- ISSN:0146-4760
- DOI:10.1093/jat/bkac060
- Accession Number:162589571
- Copyright Statement:Copyright of Journal of Analytical Toxicology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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