Introduction
The assessment of specimen validity is an important component of urine drug screening to identify when the detection of illicit drugs/medications may be compromised or subverted. The sophistication of synthetic urines also presents analytical challenges due to the replication of commonly monitored urine parameters such as creatinine, urea, pH, specific gravity and colour. LC-QTOF-MS data-independent acquisition provides vast amounts of chemical information from a sample. A comprehensive panel of endogenous urine analytes was proposed and subsequently extracted from LC-QTOF-MS urine sample data for assessment as specimen validity markers. This study demonstrates the utility of five of these analytes for the detection of synthetic urines in drug screening, and the adaptability of LC-QTOF-MS in providing robust specimen validity analysis.
Methods
Data acquired by LC-QTOF-MS (Waters G2-XS) from 50 urine drug screening samples (Creatinine range <0.9–28.6 mmol/L) was retrospectively analysed for the presence of a large panel of endogenous urine compounds. Included in this panel were the compounds tryptophan, 3-methylhistidine, phenylalanine, phenylacetylglutamine and p-cresyl sulfate. Data from four previously detected synthetic urines was also analysed for the presence of these validity markers. The utility of phenylacetylglutamine as a proposed human specific metabolite was also assessed by the analysis of three canine urines.
Results
The validity markers tryptophan, phenylalanine, and p-cresyl sulfate were detected in all 50 urine samples. Phenylacetylglutamine and 3-methylhistidine failed to be detected in only one dilute urine (creatinine <0.9 mmol/L). All validity markers were absent in three of the synthetic urines. One synthetic urine contained only phenylalanine which was likely due to the use of an apple juice base. Phenylacetylglutamine could be detected in all canine urines.
Conclusion
LC-QTOF-MS allows for the simultaneous analysis of a comprehensive number of endogenous sample integrity markers in urine, providing dynamic and robust sample validity analysis in urine drug screening.
