This study focuses on detecting addictive substances in the human body using modern instrumental methods, specifically the Dräger DrugTest 5000 (DDT 5000) device. Addictive substances are classified by legal status, chemical structure, and patterns of use. The study evaluates various biological matrices for drug detection, identifying oral fluid as the most suitable option due to its non-invasiveness and appropriate detection window. The core objective is to experimentally verify the detection limits of selected substances using the DDT 5000 and compare the findings with the manufacturer’s specifications. Results indicate that most detection limits are below or consistent with those declared by the manufacturer, except for heroin. A notable finding concerns tetrahydrocannabinol (THC), where extremely low and potentially unreliable detection limits were observed, suggesting the need for further verification. In conclusion, the DDT 5000 demonstrates high sensitivity, specificity, and accuracy, making it a reliable tool for rapid detection of most abused substances.

Reference materials (RMs) are essential for ensuring metrological traceability in various fields, including environmental monitoring, chemical analysis, and the verification of alcohol breath analyzers. One critical property of RMs is their long-term stability, particularly for gas mixtures such as ethanol in nitrogen, which are stored in pressurized aluminum cylinders. This paper describes the preparation of such gas mixtures according to ISO 6142-1, utilizing differential weighing to minimize the influence of ambient conditions and ensure accurate composition. The effects of adsorption of ethanol on the internal surfaces of aluminum cylinders were experimentally investigated. Results indicate that ethanol can remain adsorbed on the cylinder walls even after evacuation, leading to measurable ethanol concentrations upon subsequent refilling with nitrogen. Repeated fillings demonstrated a decrease in ethanol levels, confirming the saturation and gradual desorption behavior. These findings underscore the necessity to consider adsorption effects in the uncertainty budget and composition calculations for low-concentration ethanol-in-nitrogen RMs.