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首页> 外文期刊>Physiological measurement >A longitudinal study of ammonia, acetone and propanol in the exhaled breath of 30 subjects using selected ion flow tube mass spectrometry, SIFT-MS
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A longitudinal study of ammonia, acetone and propanol in the exhaled breath of 30 subjects using selected ion flow tube mass spectrometry, SIFT-MS

机译:使用选定的离子流管质谱仪SIFT-MS对30名受试者的呼出气中的氨,丙酮和丙醇进行纵向研究

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摘要

Selected ion flow tube mass spectrometry, SIFT-MS, has been used to monitor the volatile compounds in the exhaled breath of 30 volunteers (19 males, 11 females) over a 6 month period. Volunteers provided breath samples each week between 8:45 am and I pm (before lunch), and the concentrations of several trace compounds were obtained. In this paper the focus is on ammonia, acetone and propanol. It was found that the concentration distributions of these compounds in breath were close to log-normal. The median ammonia level estimated as a geometric mean for all samples was 833 parts per billion (ppb) with a multiplicative standard deviation of 1.62, the values ranging from 248 to 2935 ppb. Breath ammonia clearly increased with increasing age in this volunteer cohort. The geometric mean acetone level for all samples was 477 parts per billion (ppb) with a multiplicative standard deviation of 1.58, the values ranging from 148 to 2744 ppb. The median propanol level for all samples was 18 ppb, the values ranging from 0 to 135 ppb. A weak but significant correlation between breath propanol and acetone levels is apparent in the data. The findings indicate the potential value of SIFT-MS as a non-invasive breath analysis technique for investigating volatile compounds in human health and in the diseased state.
机译:选定的离子流管质谱法SIFT-MS已用于监测6个月内30名志愿者(男19例,女11例)呼出气中的挥发性化合物。志愿者每周从上午8:45到下午1点之间(午餐前)提供呼吸样品,并获得了几种痕量化合物的浓度。本文的重点是氨,丙酮和丙醇。发现这些化合物在呼吸中的浓度分布接近对数正态。估计所有样品的氨的中位数为几何平均值,为十亿分之833(ppb),乘积标准偏差为1.62,范围从248到2935 ppb。在这个自愿者队列中,随着年龄的增长,呼吸氨明显增加。所有样品的丙酮平均几何含量为十亿分之477(ppb),可乘标准偏差为1.58,范围从148到2744 ppb。所有样品的丙醇中位数为18 ppb,范围从0到135 ppb。在数据中,呼吸中丙醇和丙酮水平之间存在弱但显着的相关性。这些发现表明SIFT-MS作为一种无创呼吸分析技术的潜在价值,可用于研究人体健康和患病状态中的挥发性化合物。

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