Department of Anaesthesia and Intensive Care Medicine, University of Rostock, Schillingallee 70, 18057 Rostock, Germany.
Anal Bioanal Chem. 2011 Oct;401(7):2079-91. doi: 10.1007/s00216-011-5173-2. Epub 2011 Jun 26.
Separation of inspiratory, mixed expired and alveolar air is indispensable for reliable analysis of VOC breath biomarkers. Time resolution of direct mass spectrometers often is not sufficient to reliably resolve the phases of a breathing cycle. To realise fast on-line breath monitoring by means of direct MS utilising low-fragmentation soft ionisation, a data processing algorithm was developed to identify inspiratory and alveolar phases from MS data without any additional equipment. To test the algorithm selected breath biomarkers (acetone, isoprene, acetaldehyde and hexanal) were determined by means of quadrupole proton transfer reaction mass spectrometry (PTR-MS) in seven healthy volunteers during exercise on a stationary bicycle. The results were compared to an off-line reference method consisting of controlled alveolar breath sampling in Tedlar® bags, preconcentration by solid-phase micro extraction (SPME), separation and identification by GC-MS. Based on the data processing method, quantitative attribution of biomarkers to inspiratory, alveolar and mixed expiratory phases was possible at any time during the experiment, even under respiratory rates up to 60/min. Alveolar concentrations of the breath markers, measured by PTR-MS ranged from 130 to 2,600 ppb (acetone), 10 to 540 ppb (isoprene), 2 to 31 ppb (acetaldehyde), whereas the concentrations of hexanal were always below the limit of detection (LOD) of 3 ppb. There was good correlation between on-line PTR-MS and SPME-GC-MS measurements during phases with stable physiological parameters but results diverged during rapid changes of heart rate and minute ventilation. This clearly demonstrates the benefits of breath-resolved MS for fast on-line monitoring of exhaled VOCs.
吸气、混合呼气和肺泡气的分离对于可靠的挥发性有机化合物呼气生物标志物分析是必不可少的。直接质谱仪的时间分辨率通常不足以可靠地分辨呼吸周期的各个阶段。为了利用低碎片化软电离的直接 MS 实现快速在线呼气监测,开发了一种数据处理算法,无需任何额外设备即可从 MS 数据中识别吸气和肺泡相。为了测试所选的算法,我们在 7 名健康志愿者进行固定自行车运动时,使用四极质子转移反应质谱(PTR-MS)来测定选定的呼气生物标志物(丙酮、异戊二烯、乙醛和己醛)。结果与离线参考方法进行了比较,离线参考方法包括在 Tedlar®袋中进行受控肺泡呼气采样、固相微萃取(SPME)预浓缩、通过 GC-MS 分离和鉴定。基于数据处理方法,即使在呼吸频率高达 60/min 的情况下,也可以在实验的任何时间对生物标志物进行定量归属,包括吸气、肺泡和混合呼气相。PTR-MS 测量的呼气标志物的肺泡浓度范围为 130 至 2600 ppb(丙酮)、10 至 540 ppb(异戊二烯)、2 至 31 ppb(乙醛),而己醛的浓度始终低于检测限(LOD) 3 ppb。在生理参数稳定的阶段,在线 PTR-MS 和 SPME-GC-MS 测量之间具有良好的相关性,但在心率和分钟通气量快速变化时,结果存在差异。这清楚地表明了呼吸分辨 MS 对呼出 VOC 快速在线监测的优势。