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Micropreconcentrator in LTCC Technology with Mass Spectrometry for the Detection of Acetone in Healthy and Type-1 Diabetes Mellitus Patient Breath

机译:LTCC技术中的微量预浓缩器与质谱联用,用于检测健康和1型糖尿病患者呼吸中的丙酮

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Breath analysis has long been recognized as a potentially attractive method for the diagnosis of several diseases. The main advantage over other diagnostic methods such as blood or urine analysis is that breath analysis is fully non-invasive, comfortable for patients and breath samples can be easily obtained. One possible future application of breath analysis may be the diagnosing and monitoring of diabetes. It is, therefore, essential, to firstly determine a relationship between exhaled biomarker concentration and glucose in blood as well as to compare the results with the results obtained from non-diabetic subjects. Concentrations of molecules which are biomarkers of diseases’ states, or early indicators of disease should be well documented, i.e., the variations of abnormal concentrations of breath biomarkers with age, gender and ethnic issues need to be verified. Furthermore, based on performed measurements it is rather obvious that analysis of exhaled acetone as a single biomarker of diabetes is unrealistic. In this paper, the author presents results of his research conducted on samples of breath gas from eleven healthy volunteers (HV) and fourteen type-1 diabetic patients (T1DM) which were collected in 1-l SKC breath bags. The exhaled acetone concentration was measured using mass spectrometry (HPR-20 QIC, Hiden Analytical, Warrington, UK) coupled with a micropreconcentrator in LTCC (Low Temperature Cofired Ceramic). However, as according to recent studies the level of acetone varies to a significant extent for each blood glucose concentration of single individuals, a direct and absolute relationship between blood glucose and acetone has not been proved. Nevertheless, basing on the research results acetone in diabetic breath was found to be higher than 1.11 ppmv, while its average concentration in normal breath was lower than 0.83 ppmv.
机译:长期以来,人们一直认为呼吸分析是诊断几种疾病的潜在有吸引力的方法。与其他诊断方法(例如血液或尿液分析)相比,主要优点是呼吸分析是完全非侵入性的,对患者而言舒适,并且可以轻松获取呼吸样本。呼吸分析的一种可能的未来应用可能是糖尿病的诊断和监测。因此,至关重要的是,首先确定呼出的生物标志物浓度与血液中的葡萄糖之间的关系,并将结果与​​从非糖尿病受试者获得的结果进行比较。应该充分记录作为疾病状态生物标志物的分子的浓度或疾病的早期指标,即,需要验证呼吸生物标志物的异常浓度随年龄,性别和种族问题的变化。此外,基于所进行的测量,很明显分析呼出的丙酮作为糖尿病的单一生物标记是不现实的。在本文中,作者介绍了他的研究结果,这些研究是从11名健康志愿者(HV)和14名1型糖尿病患者(T1DM)的呼吸气体样本中收集的,这些样本被收集在1-l SKC呼吸袋中。呼出的丙酮浓度使用质谱仪(HPR-20 QIC,Hiden Analytical,英国沃灵顿,英国)与微量预浓缩器在LTCC(低温共烧陶瓷)中进行测量。然而,根据最近的研究,丙酮水平对于单个个体的每个血糖浓度变化很大,尚未证明血糖和丙酮之间存在直接和绝对的关系。然而,根据研究结果,发现糖尿病患者呼吸中的丙酮含量高于1.11 ppmv,而正常呼吸中的丙酮平均含量低于0.83 ppmv。

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