呼出的氰化氢 (HCN) 已被确定与多种呼吸道疾病有关。准确区分不同HCN来源的浓度和释放速率对于临床研究具有重要价值。然而,由于呼出 HCN 的高吸附和低浓度特性,仍然存在重大挑战。在本研究中,开发了一种基于负光电离质谱法的两室动力学模型方法,以同时测定气道和肺泡中的浓度和释放速率等动力学参数。研究并优化了采样线直径、长度和温度对采样系统响应时间的影响,实现了0.2 s的响应时间。通过采用基于解剖肺容量计算的策略,减少了口腔释放的 HCN 的负面影响。实现了 0.5–100 ppbv 动态范围内的 HCN 校准和 0.3 ppbv 的检测限 (LOD)。随后,进行了吸烟、短期被动吸烟和苦杏仁摄入实验,考察内源性和外源性因素对模型方法动态参数的影响。结果表明,与稳态浓度测量相比,利用该模型方法获得的动力学参数能够准确、显着地反映不同HCN来源的变化,凸显了其在HCN相关疾病研究中的潜力。
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Determination of the two-compartment model parameters of exhaled HCN by fast negative photoionization mass spectrometry
Breath exhaled hydrogen cyanide (HCN) has been identified to be associated with several respiratory diseases. Accurately distinguishing the concentration and release rate of different HCN sources is of great value in clinical research. However, there are still significant challenges due to the high adsorption and low concentration characteristics of exhaled HCN. In this study, a two-compartment kinetic model method based on negative photoionization mass spectrometry was developed to simultaneously determine the kinetic parameters including concentrations and release rates in the airways and alveoli. The influences of the sampling line diameter, length, and temperature on the response time of the sampling system were studied and optimized, achieving a response time of 0.2 s. The negative influence of oral cavity-released HCN was reduced by employing a strategy based on anatomical lung volume calculation. The calibration for HCN in the dynamic range of 0.5–100 ppbv and limit of detection (LOD) at 0.3 ppbv were achieved. Subsequently, the experiments of smoking, short-term passive smoking, and intake of bitter almonds were performed to examine the influences of endogenous and exogenous factors on the dynamic parameters of the model method. The results indicate that compared with steady-state concentration measurements, the kinetic parameters obtained using this model method can accurately and significantly reflect the changes in different HCN sources, highlighting its potential for HCN-related disease research.