气体分析呼吸
呼出气冷凝液
睡眠呼吸暂停
阻塞性睡眠呼吸暂停
呼吸暂停
色谱法
定量分析(化学)
采样(信号处理)
医学
内科学
化学
计算机科学
滤波器(信号处理)
哮喘
计算机视觉
作者
Anna Kaliszewska,Piotr Struczyński,Sylwia Kwiatkowska,Dariusz Nowak,Tomasz Bączek,Lucyna Konieczna
摘要
ABSTRACT Interest in obstructive sleep apnea is rising due to its neurocognitive and cardiovascular impacts, including systemic hypertension, myocardial infarction, and cerebrovascular events. Obstructive sleep apnea diagnosis can be suggested through symptoms like snoring, daytime sleepiness, and physical signs like increased neck circumference; however, overnight polysomnography is recommended to confirm. Exhaled breath condensate has emerged as a novel, noninvasive technique for biomarker sample collection. It is simple, rapid, repeatable, and suitable for young children and severely ill patients. A direct method using liquid chromatography–mass spectrometry coupled with hydrophilic interaction chromatography was established for quantitative analysis of amino acids in human exhaled breath condensate samples. The separation was performed using XBridge Amide BEH column and a mobile phase of ammonium formate buffer in gradient conditions. The method exhibited a low detection limit (0.08–1.28 ng/mL), good linearity ( R 2 between 0.9909 and 0.9987), and high recoveries (93–101.3%) for 21 studied amino acids with interday RSD of 2.1–7.7%. The LC‐MS method was verified and applied to determine amino acids in exhaled breath condensate samples from obstructive sleep apnea patients, offering fast, reliable analysis without derivatization as a noninvasive alternative to standard methods.
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