Standardised exhaled breath collection for the measurement of exhaled volatile organic compounds by proton transfer reaction mass spectrometry

Abstract

Background

Exhaled breath volatile organic compound (VOC) analysis for airway disease monitoring is promising. However, contrary to nitric oxide the method for exhaled breath collection has not yet been standardized and the effects of expiratory flow and breath-hold have not been sufficiently studied. These manoeuvres may also reveal the origin of exhaled compounds.

Methods

15 healthy volunteers (34 ± 7 years) participated in the study. Subjects inhaled through their nose and exhaled immediately at two different flows (5 L/min and 10 L/min) into methylated polyethylene bags. In addition, the effect of a 20 s breath-hold following inhalation to total lung capacity was studied. The samples were analyzed for ethanol and acetone levels immediately using proton-transfer-reaction mass-spectrometer (PTR-MS, Logan Research, UK).

Results

Ethanol levels were negatively affected by expiratory flow rate (232.70 ± 33.50 ppb vs. 202.30 ± 27.28 ppb at 5 L/min and 10 L/min, respectively, p < 0.05), but remained unchanged following the breath hold (242.50 ± 34.53 vs. 237.90 ± 35.86 ppb, without and with breath hold, respectively, p = 0.11). On the contrary, acetone levels were increased following breath hold (1.50 ± 0.18 ppm) compared to the baseline levels (1.38 ± 0.15 ppm), but were not affected by expiratory flow (1.40 ± 0.14 ppm vs. 1.49 ± 0.14 ppm, 5 L/min vs. 10 L/min, respectively, p = 0.14). The diet had no significant effects on the gasses levels which showed good inter and intra session reproducibility.

Conclusions

Exhalation parameters such as expiratory flow and breath-hold may affect VOC levels significantly; therefore standardisation of exhaled VOC measurements is mandatory. Our preliminary results suggest a different origin in the respiratory tract for these two gasses.

Background

There is a need for disease biomarkers that reflect the activity of the underlying pathogenetic pathways that characterise lung disease. These could help diagnose and monitor lung disorders besides providing information on the efficacy of treatment.

In the last decades breath analysis, and particularly the measurement of exhaled nitric oxide (NO), has received a lot of interest because its measurement is simple and its breath levels reflects airway inflammation [1]. Volatile organic compounds (VOCs) have also been shown to be elevated in inflammatory diseases [2–5], and also to reflect the activity of specific metabolic pathways. For example, acetone is linked to dextrose metabolism and lipolysis [5, 6], whereas exhaled isoprene correlates with cholesterol biosynthesis [7], and exhaled levels of sulphur-containing compounds are elevated in liver failure [5, 8] and allograft rejection [9]. Different VOC profiles have been identified in several diseases, such as lung cancer [10–13], asthma [14] and COPD [15] compared to controls, and the measurement of VOCs has been suggested as a tool for early detection and monitoring of disease.

Contrary to the measurement of exhaled NO, which has been carefully standardised, the parameters potentially affecting VOCs levels in the breath have received little notice [16, 17]. The lack of standardization of the previously published methods and the poor knowledge of the variables that may affect VOCs have hindered the use of these gases in research. As a result, even though back in 1971 Pauling et. al. [18] detected more than 200 VOCs in the human breath, to date, breath analysis is still an underused research tool with no current clinical application.

In view of the potential usefulness of VOCs as markers of lung disease we developed a simple method for their measurement using Proton Transfer Reaction Mass Spectrometry (PTR-MS) and crucially, we standardised the breath collection and studied the effect of different breath parameters such as exhalation flow and breath hold on the levels of the measured gases.

Ethanol and acetone were chosen as test gases for standardization because of their ease of measurement and low concentrations in the environment.

Methods

Subjects and study design

Using the technique described above, exhaled breath was collected from 15 healthy non-smoking volunteers (mean age ± SEM, 34 ±7 yr; 9 males). Informed consent was obtained from all individuals. All subjects attended the Asthma Laboratory at the Royal Brompton Hospital on two occasions (visit 1 and visit 2) to verify the reproducibility of the measurements. None of the participating subjects had respiratory tract infection in the 4 weeks preceding the study. Subjects were asked to abstain from food for at least 2 hours prior to each visit. During each visit exhaled VOCs were measured in the morning and a few hours apart in the afternoon. The study was approved by the Royal Brompton Hospital research ethics committee (08/H0709/2).

Standardised exhaled air collection

All breath samples were collected using a standardised technique during a pressure and flow-controlled exhalation into a polyethylene reservoir as previously described [19]. Inhalation was performed through the nose, without pauses, from residual volume (RV) to total lung capacity (TLC) and was immediately followed by exhalation without breath-hold. Subjects aimed at a constant exhalation flow rate (5 to 6 L/min) using a visual feedback. A resistance of 5 cmH₂O was implemented in order to increase the mouth pressure and close the soft palate reducing the contamination of exhaled breath with nasal air [20].

The air coming from the dead space, contaminated with nasal and ambient air, was discarded in the atmosphere, by a three way valve [19]. The time needed to wash out the dead space (t) was estimated to be 1–2 seconds (s) (t = dead space volume/exhalation flow where dead space is calculated as weight (lb) + age in years, and exhalation flow is 5–6 L/min) [21], and therefore discard of the first 3 seconds of exhaled air could secure the removal of the dead space. At the end of the exhalation manoeuvre, the three way valve was promptly closed to avoid ambient contamination. Samples of ambient air were also collected at the same time.

Sample analysis by PTR-MS

Breath samples and samples of ambient air were analysed by a proton transfer reaction mass spectrometer (PTR-MS) (Logan Research Ltd, Rochester, UK). Proton-transfer-reaction mass spectrometry was used to measure concentrations of VOCs in human breath at levels of ppb or even ppt as described by Hansel et al. 1995 [22]. Briefly, PTR-MS uses a soft ionization method based on proton transfer from H₃O⁺ ions to all compounds with a higher proton affinity than water:

{\mathrm{H}}_3{\mathrm{O}}^{+}+\mathrm{R}\to {\mathrm{RH}}^{+}+{\mathrm{H}}_2{\mathrm{O}}^{+},

where R is the reactant gas added, able to react with H₃O⁺. The common constituents of air such as N₂, O₂, Ar, CO₂ etc. have lower proton affinity than water and are therefore not detected. The reaction product ions are mass analysed using a quadrupole mass spectrometer and detected by a secondary electron multiplier (SEM). The ion detection system measures count rates i(H₃O⁺) and i(RH⁺), which are proportional to the respective densities of these ions [23].

The system can reach higher sensitivity by not diluting the gas to be analysed in an additional buffer gas [23]. For the measurement of ethanol (atomic mass unit (amu) 47) the PTR-MS analyser was set at precision 4 and sensitivity 13 while acetone (59 amu) was detected at sensitivity 12 and precision 4. Each sample (breath sample or sample of ambient air) was analysed three consecutive times with two different sensitivities (sensitivity 12 and 13).

Parameters affecting VOCs levels

Breathing parameters

In order to investigate and standardise the effect of different breathing parameters on VOCs levels, breath samples were collected using the technique described above but modifying the following:

• a) 20 seconds breath hold

• b) inclusion of dead space in the breath sample

• c) exhalation flow rate of 5–6 L/min vs.10-11 L/min

In addition, we also studied the concentration of exhaled VOCs in the reservoir over 48 h.

Diet

Breath samples were collected in a subgroup of five healthy non-smoker volunteers (mean age +/- SEM, 38 +/- 4 yr; 3 males) after overnight fasting at 30, 120 and 210 minutes following a set breakfast (250 ml chocolate milk, 1 chocolate croissant) and at 30 and 150 minutes following a set lunch (chicken Caesar salad wrap, crisps) meal without any alcohol consumption.

Alcohol

Exhaled ethanol was measured in four healthy non-smoker volunteers (mean age +/- SEM, 35 +/- 3 yr; 3 males) after at least 3 hours fasting and at 5 minutes, 1 hour, 2.5, 3.5 and 4.5 hours following the consumption of 1.5 units of alcohol (125 ml of wine, 12%).

Effect of ambient air

The levels of ethanol and acetone were measured in breath samples and a correlation with the concentration of the same gases in the environmental air was investigated.

Inter-session and intra-session reproducibility

VOCs measurements were carried out twice on the same day at least two hours apart (visit one, inter-session reproducibility) and 3–4 days later (visit one vs. visit 2, intra-session reproducibility).

Sample statistical analysis

The effects of exhalation flow rate, breath hold and dead space were analysed using the paired t-tests. The reproducibility of the method was assessed by Bland Altman test. The correlation of breath samples with samples of ambient air was estimated with the Pearson test. Significance was defined as a p-value of < 0.05. GraphPad Prism statistical package was used.

Results

Parameters affecting VOCs levels

Exhalation flow

Exhaled ethanol levels were significantly lower at an exhalation flow of 10 L/min (202.30 ± 27.28 ppb) compared to 5 L/min (232.70 ± 33.50 ppb, p = 0.03, Figure 1, Panel A) whereas the concentrations of acetone were not affected by different exhalation flow rates (1.40 ± 0.14 ppm, 1.49 ± 0.14 ppm for 5 and 10 L/min exhalations respectively, Figure 1, Panel B).

Figure 1

Exhaled ethanol (Panel A) and acetone (Panel B) levels at exhalation flow rates of 5 and 10 L/min.

Breath hold

Exhaled ethanol levels were unchanged before (242.50 ± 34.53 ppb) and after a 20 second breath-hold manoeuvre (237.90 ± 35.86 ppb, (p > 0.05)) (Figure 2, panel A). However, acetone levels were significantly affected (1.38 ± 0.15 ppm, 1.50 ± 0.18 ppm at baseline and after breath hold respectively, p = 0.03, Figure 2 Panel B).

Figure 2

Exhaled ethanol (Panel A) and acetone (Panel B) levels at baseline and following a 20 secods breath hold.

Dead space

The inclusion of exhaled dead space air in the analysed samples did not affect ethanol (264.00 ± 60.37 ppb and 289.00 ± 67.47 ppb with and without dead space air respectively, p > 0.05, Figure 3, Panel A) or acetone levels (1.35 ± 0.16 ppm and 1.33 ± 0.19 ppm with or without dead space respectively, p > 0.05, Figure 3, Panel B).

Figure 3

Exhaled ethanol (Panel A) and acetone (Panel B) levels with ant without the exclusion of dead space air.

Diet and alcohol

There was a tendency for higher ethanol levels 30 min after both breakfast and lunch compared to the overnight fasting concentrations (Figure 4, Panel A) however, these changes were not statistically significant.

Figure 4

Exhaled ethanol levels following breakfast, lunch (Panel A) and alcohol consumption (Panel B). ** = p < 0.01, * = P < 0.05.

As expected, there was a very significant and rapid increase of exhaled ethanol concentrations 5 minutes after wine consumption, these levels remained significantly increased for 2.5 hours and returned to baseline levels after 3.5 hours (Figure 4, Panel B).

Effect of ambient air

In order to investigate the influence of environmental air on the levels of VOCs in the breath, we correlated the levels of VOCs in breath samples with those measured in environmental samples. Over a large range of concentrations of a number of measured VOCs (ethanol, methanol, isoprene, acetonitrile, phenol) using two different sensitivities used (12 and 13), we were unable to find any significant correlations.

Reproducibility

The difference in exhaled, ethanol, and acetone levels measured during two collections made the same day (comparison between session in the same visits) plotted against their mean (Bland and Altman test, single session variability) showed that most of the measurements were within 2SD of the mean (Figure 5). The inter session variability (comparison between different visits days apart) also satisfied the Bland and Altman test. The coefficients of variation for ethanol and acetone were 2.41% and 13.9% respectively.

Figure 5

Repeatability of acetone measurement. Two exhaled acetone measurements separated by five minute intervals in 15 normal volunteers.

Even though breath samples were analysed immediately after collection, the concentration of ethanol and acetone in five breath collection reservoir was stable over the course of 48 h.

Discussion

We standardised breath sample collection and developed a new method for VOC analysis. Because exhalation flow rate and breath hold may affect the expired levels of ethanol and acetone, we suggest that controlling breathing parameters is required to reduce errors and improve the reproducibility of VOC measurements.

Contrary to the measurement of exhaled NO which has been extensively investigated and standardised as described in joint ERS/ATS guidelines [24], only two preliminary studies have so far investigated the breathing parameters potentially affecting the levels of VOCs in the exhaled breath [16, 17]. Notably, none of the so far published clinical studies controlled or investigated the effect of breathing parameters on VOC levels. In the current manuscript, we used a previously developed device for exhaled breath collection which allowed us to analyse separately the effect of different breathing manoeuvres.

Ethanol breath levels were significantly decreased at higher exhalation flow rates. As the central airway axial diffusion is an important factor determining flow dependency [25] this may indicate that ethanol has a significant axial diffusion and the central airways contribute significantly to total ethanol breath levels. Three subjects with low baseline ethanol levels showed no exhalation flow dependency, suggesting that higher gas levels may be more sensitive flow rate reduction. The flow rate of 5 L/min may be a more suitable standard as it is more comfortable. Interestingly, contrary to ethanol, acetone breath concentrations were not exhalation flow rate dependent indicating a poor contribution of the central airways to the total acetone concentrations in the breath. Alternatively, the lack of exhalation flow dependency may result from back diffusion into the tissues allowing the gases to be washed away by the blood stream before axial diffusion can occur. The lack of exhalation flow dependency of acetone shown in a previous study [16] may be related to the use of much higher exhalation flow rates (15 l/min) which may have cancelled the effect of this variable. The significant effect produced by breath hold on the levels of acetone supports the theory that this gas may have an elevated airway uptake as opposed to ethanol which was not significantly affected by breath hold and therefore may have a higher central airway production/diffusion ration as suggested by its significant flow dependency and lack of reuptake.

Dead space air is mostly a mixture of nasal and ambient air. It is reassuring that the inclusion of dead space air in the breath analysis did not affect the final VOC levels as this suggests low upper airways and nasal VOC concentrations as well as low environmental levels of the measured gases. Even though dead space air did not affect the level of the gasses measured, we advise discarding its collection to reduce the possibility of sporadically elevated environmental levels of acetone and ethanol.

The breathing parameters studied may affect exhaled gases differently depending on their biological and physical properties, therefore, it is crucial to underline that other gases not measured in the current study, with different biophysical properties may be affected. Therefore, we suggest that exhaled breath for VOC analysis should always be collected in a standardised manner as described in the current manuscript.

The presence of water vapour in the exhaled breath presents a technical challenge as it interferes with the measurement of other gases with molecular weights close to that of water. In order to reduce this error, we have limited our analysis to gases with molecular weight dissimilar from water. This approach together with a controlled collection of the exhaled breath has provided an excellent inter and intra- session reproducibility.

Because VOCs are present in the exhaled breath at very low concentrations, another potential error may derive from contamination with environmental air. Some authors have minimised this problem by concentrating the exhaled breath [26–28] or passing it through a scrubber [29, 30]. Notably, the lack of a significant correlation between exhaled breath VOCs and the concentration of the same gases in concurrent ambient samples may indicate that environmental contamination was not relevant in our study. We controlled environmental contamination by reducing air leaks in the tubing system and carefully sealing the reservoir where the exhaled breath was collected.. Furthermore, exhaling against a resistance producing a mouth pressure of at least 5 cm H₂O may have reduced contamination of the exhaled breath with nasal and environmental air by closing the soft palate as previously described [20].

Other factors which potentially influence the levels of VOCs in the breath are diet [31–34] and alcohol consumption [35]. As expected, alcohol rapidly and significantly increased the levels of exhaled ethanol which gradually decreased and returned to baseline levels 3.5 hours after wine consumption. This supports the hypothesis that breath ethanol levels reflect a metabolic process and not alcohol vapours coming from the stomach immediately after drinking wine.

Previous reports have shown that the diet may affect the levels of ethanol [36, 37]. In our study there was a tendency for higher levels of breath ethanol 30 minutes after the ingestion of food however this was not statistically significant. Interestingly, there was a trend for increased ethanol levels following breakfast rather than lunch even though none of them was statistically significant. This may be related to the higher content of carbohydrates in the former which may have been metabolised to form ethanol.

Conclusions

We analysed the factors potentially affecting the levels of some VOCs in the breath and standardised a method for their measurement controlling breathing parameters and diet. Under these conditions, we demonstrated that both intra-session and inter-session reproducibility of the method were satisfactory. We believe that the standardization of the method for the measurement of VOCs in the breath is necessary to provide the reliability required for its research and clinical use and we suggest that the study of new VOCs should include a thorough analysis of their physiology as this may provide information on the origin of any specific VOC in the respiratory tract.