Permeation profiles of potential urine-borne biomarkers of human presence over brick and concrete.

Headspace solid phase micro-extraction gas chromatography-mass spectrometry (SPME-GC-MS) analysis was performed over an in-house made filling chamber loaded with brick or concrete, mimicking a potential entrapment scene of building collapse following natural or man-made disasters. Permeation profiles of 22 volatile species, released by human urine samples, were quantitatively monitored over the selected debris materials for a time period of 24 hours (LODs ranged from 0.05-0.8 ppb, R(2) varied from 0.991-0.999 and RSDs 3-9%). Ketones were the most abundant constituents of urine vapor with eleven representatives followed by five aldehydes, two furans, two sulphur-containing compounds, one nitrile and one heterocyclic compound. The majority of the detected compounds were found below 10 ppb, with the exception of some ketones including acetone, 2-butanone and 2-pentanone. The influence of debris materials on the permeation profiles of analytes under study depended on their fundamental physicochemical properties. Less volatile and more soluble compounds in urine (ketones and aldehydes) were found to be present for longer time periods in the surroundings of the urine samples than the more volatile and poorly soluble ones (furans, sulphur-containing compounds). More specifically, ketones exhibited longer residence times in the filling chamber and strongly interacted with the debris materials as their molecular masses were increased; their profiles were found to be significantly modified in the presence of concrete. In general, concrete demonstrated a stronger interaction with urine species than brick, affecting the observed concentrations and residence times of released volatiles in the chamber.

Temporal profiling of human urine VOCs and its potential role under the ruins of collapsed buildings.

CONTEXT: The scent profile of human urine was investigated as potential source of chemical markers of human presence in collapsed buildings after natural or man-made disasters. OBJECTIVE: The main goals of this study were to build a library of potential biomarkers of human urine to be used for the detection of entrapped victims and to further examine their evolution profile in time. MATERIALS AND METHODS: Headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) was used to detect and identify the volatile organic compounds (VOCs) spontaneously released from urine of 20 healthy volunteers. Additionally, the evolution of human urine headspace during four days storage at room temperature was investigated. RESULTS: 33 omnipresent species with incidence higher than 80% were selected as potential urine markers. The most represented chemical classes were ketones with 10 representatives, aldehydes (7 species) and sulfur compounds (7 species). The monitoring of the evolution of the urine scent demonstrated an increase in the emission of 26 omnipresent urinary volatiles (rise from 36% to 526%). The highest increase was noted for dimethyldisulfide and dimethyltrisulfide (fivefold increase) and 3-methyl-2-butanone, 4-methyl-2-pentanone and 3-hexanone (fourfold rise). Only three compounds exhibited decreasing trend; dimethylsulfone, octanal and propanal. CONCLUSION: The ubiquitous urine VOCs identified within this study create a library of potential markers of human urine to be verified in further field studies, involving portable and sensitive instruments, directly applied in the field.

Application of ion mobility spectrometry for the detection of human urine.

The aim of the present study was to evaluate the suitability of ion mobility spectrometry (IMS) for the detection of human urine as an indication of human presence during urban search and rescue operations in collapsed buildings. To this end, IMS with a radioactive ionization source and a multicapillary column was used to detect volatile organic compounds (VOCs) emitted from human urine. A study involving a group of 30 healthy volunteers resulted in the selection of seven volatile species, namely acetone, propanal, 3-methyl-2-butanone, 2-methylpropanal, 4-heptanone, 2-heptanone and octanal, which were detected in all samples. Additionally, a preliminary study on the permeation of urine volatiles through the materials surrounding the voids of collapsed buildings was performed. In this study, quartz sand was used as a representative imitating material. Four compounds, namely 3-methyl-2-butanone, octanal, acetone and 2-heptanone, were found to permeate through the sand layers during all experiments. Moreover, their permeation times were the shortest. Although IMS can be considered as a potential technique suitable for the detection, localization and monitoring of VOCs evolved from human urine, further investigation is necessary prior to selecting field chemical methods for the early location of trapped victims.

Near real-time VOCs analysis using an aspiration ion mobility spectrometer.

The ChemPro 100i chemical detector (aspiration-type ion mobility spectrometer) was used for the detection of selected volatile organic compounds known to be potential indicators of human presence. The targeted group of compounds mainly comprised ketones (acetone, 2-butanone, 2-pentanone, 3-methyl-2-butanone, 4-heptanone), aldehydes (propanal, pentanal, hexanal, octanal), dimethyl disulfide (DMDS), isoprene and ethanol. Gaseous standards of these compounds were produced from pure substances and analysed using the aspiration ion mobility spectrometry (AIMS) chemical detector. The chemical fingerprints obtained (patterns) were compared to evaluate possible differences in responses. The limits of detection ranged from 5 ppbv for 4-heptanone to 87 ppbv for DMDS, whereas relative standard deviations varied from 1.5% to 5%. Additionally, quantitative AIMS measurements of acetone levels in human breath samples were carried out. The breath acetone levels measured with AIMS ranged from 290 to 540 ppbv and correlated quite well with the SPME-GC-MS results, showing limited potential of AIMS for the detection of breath acetone; however, deviations were observed for concentrations above 500 ppbv. The further success of AIMS in breath analysis depends on improvements of the analytical power (e.g. selectivity, sensitivity, resolution) and the implementation of multivariate data analysis techniques.