Volatile organic compounds in exhaled breath of patients with COPD ± lung cancer and their correlation with FEV1-values

慢性阻塞性肺病 医学 肺癌 呼出气冷凝液 呼出的空气 内科学 胃肠病学 分析物 色谱法 毒理 哮喘 化学 生物
作者
Michael Westhoff,P Litterst,H Sommer,Betram Bödecker,J. I. Baumbach
出处
期刊:European Respiratory Journal 卷期号:44: 987-
摘要

Introduction Ion mobility spectrometry (MCC/IMS) is currently evaluated for exhaled breath analysis in different pulmonary diseases. The relevance of different specific volatile organic compounds (VOC) and their potential relations to FEV1 still remain unknown. We wondered if patients with COPD ± lung cancer exhale different VOCs and if there is a relation to FEV1 resp. FEV1/VC. Methods In 61 patients with COPD and lung cancer, 23 with COPD and 32 healthy controls exhaled breath was analysed with an IMS coupled to a multi capillary column (MCC/IMS). Discrimination between the subgroups was made by a decision-tree-model. Results 102 different peaks were found. 29 showed a 99 % significance level, including 2-Methylfurane, 2-Methylpentane, 1-Butanole, Butanal, Cyclohexanole, Propanal, 1-Hexanole, n-Nona, 2-Heptanole, 3-Pentanone, Phenylacetylene, 2-Butanone and Isoprene. A decision tree starting with 2-Methylpentane showed the decision power in two steps. Sensitivity of 100 % and specificity of 97 % was calculated. 3-Pentanone Dimer and 1-Hexanole differentiated the LC/COPD group from healthy control, with a specificity of 94 %. Finally, the groups COPD, LC/COPD and healthy control were differenciated using a 2-step decision tree starting with 1-Hexanole and Acetone. Correlations between analyte concentrations and FEV1 were found for the following analytes: increasing e.g. Ammonia, decreasing e.g. 1-Octanole. Conclusions Some VOCs in exhaled air of patients with COPD ± lung cancer and healthy controls allowed the separation of these group. Ffunctional impairment seems to influence the concentration of some analytes; this has to be taken into account in further analysis.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
loong应助Felix0917采纳,获得20
1秒前
1秒前
快乐科研完成签到,获得积分10
2秒前
Xxil发布了新的文献求助10
2秒前
xiaoming发布了新的文献求助10
2秒前
2秒前
2秒前
2秒前
3秒前
今后应助有颗柚子采纳,获得10
3秒前
小鱼干儿发布了新的文献求助10
4秒前
哇哈哈发布了新的文献求助10
4秒前
4秒前
苗苗发布了新的文献求助10
5秒前
无花果应助薯片采纳,获得10
5秒前
卡痰的长颈鹿完成签到,获得积分10
6秒前
念l完成签到 ,获得积分10
6秒前
adi完成签到,获得积分10
6秒前
imyunxu完成签到,获得积分10
7秒前
petiteblanche发布了新的文献求助10
7秒前
杨先生发布了新的文献求助30
8秒前
jing发布了新的文献求助10
8秒前
8秒前
jewel9完成签到,获得积分10
8秒前
量子星尘发布了新的文献求助10
9秒前
微血管发布了新的文献求助10
9秒前
李健的粉丝团团长应助tt采纳,获得10
10秒前
薯片完成签到,获得积分10
10秒前
神途完成签到,获得积分10
11秒前
12秒前
12秒前
落寞的水蜜桃完成签到,获得积分10
12秒前
苗苗完成签到,获得积分10
12秒前
petiteblanche完成签到,获得积分10
13秒前
13秒前
13秒前
从此发布了新的文献求助10
14秒前
14秒前
14秒前
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to strong mixing conditions volume 1-3 5000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
从k到英国情人 1500
Ägyptische Geschichte der 21.–30. Dynastie 1100
„Semitische Wissenschaften“? 1100
Russian Foreign Policy: Change and Continuity 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5728534
求助须知:如何正确求助?哪些是违规求助? 5313250
关于积分的说明 15314452
捐赠科研通 4875726
什么是DOI,文献DOI怎么找? 2618947
邀请新用户注册赠送积分活动 1568530
关于科研通互助平台的介绍 1525171