QCLAS and CRDS-Based CO Quantification as Aimed at in Breath Measurements

量子级联激光器 边带 激光器 光谱学 腔衰荡光谱 计量学 分析化学(期刊) 分光计 化学 光学 材料科学 微波食品加热 色谱法 物理 量子力学
作者
Javis A. Nwaboh,Stefan Persijn,Kathrin Heinrich,Marcus Sowa,Peter Hering,Olav Werhahn
出处
期刊:International Journal of Spectroscopy [Hindawi Limited]
卷期号:2012: 1-10 被引量:8
标识
DOI:10.1155/2012/894841
摘要

Laser-spectrometric methods to derive absolute and traceable carbon monoxide (CO) amount fractions in exhaled human breath could be of advantage for early disease detection as well as for treatment monitoring. As proof-of-principle laboratory experiment, we employed intra-pulse and continuous wave (cw) quantum cascade laser spectroscopy (QCLAS), both at 4.6 μ m. Additional experiments were carried out applying cw cavity ring-down spectroscopy (CRDS) with a CO sideband laser and a QCL. We emphasize metrological data quality objectives, thatis, traceability and uncertainty, which could serve as essential benefits to exhaled breath measurements. The results were evaluated and compared on a 100 μ mol/mol CO level using the two QCLAS spectrometers, and the cw CO sideband laser CRDS setup. The relative standard uncertainties of the pulsed and the cw QCLAS CO amount fraction results were ±4.8 and ±2.8%, respectively, that from the CO sideband laser CRDS was ±2.7%. Sensitivities down to a 3 nmol/mol CO level were finally demonstrated and quantified by means of cw CRDS equipped with a QCL yielding standard uncertainties of about ±2.5 that are exclusively limited by the available line strength figure quality. With this study we demonstrate the achieved comparability of CO quantifications, adhering metrological principles.

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
刚刚
枫落完成签到,获得积分10
1秒前
1秒前
科研通AI6.1应助悟了吗采纳,获得50
2秒前
5秒前
舒适的傲柔完成签到,获得积分10
5秒前
Jasper应助smallfish采纳,获得10
6秒前
7秒前
章鱼发布了新的文献求助10
8秒前
Szzz发布了新的文献求助30
8秒前
dudu完成签到 ,获得积分10
8秒前
Akim应助南瓜霸天采纳,获得10
9秒前
9秒前
zzz发布了新的文献求助10
9秒前
JamesPei应助水123采纳,获得10
10秒前
gao完成签到,获得积分10
11秒前
吃鱼的猫完成签到,获得积分10
12秒前
Zxy完成签到 ,获得积分10
12秒前
hzwhz完成签到,获得积分10
13秒前
14秒前
14秒前
15秒前
落后的寄文完成签到,获得积分10
15秒前
唠叨的汉堡完成签到,获得积分10
16秒前
17秒前
好德小饼干完成签到,获得积分20
17秒前
17秒前
biackgao发布了新的文献求助10
18秒前
18秒前
ZXR完成签到,获得积分10
19秒前
Lucas应助左左曦采纳,获得10
19秒前
19秒前
XXL发布了新的文献求助10
20秒前
20秒前
21秒前
米娅完成签到 ,获得积分10
21秒前
南瓜霸天发布了新的文献求助10
22秒前
小迪ya发布了新的文献求助10
22秒前
天天快乐应助碎觉觉采纳,获得30
22秒前
22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
Cronologia da história de Macau 5000
Merrill's Atlas of Radiographic Positioning and Procedures - 3-Volume Set, 16th Edition 2000
Petrology and Plate Tectonics 800
Matrix Methods in Data Mining and Pattern Recognition 540
Trees of tropical Asia : an illustrated guide to diversity 500
Materials Informatics Molecules, Crystals and Beyond A volume in Acta Materialia Book Series 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7049426
求助须知:如何正确求助?哪些是违规求助? 8714576
关于积分的说明 18451642
捐赠科研通 6566048
什么是DOI,文献DOI怎么找? 3119575
关于科研通互助平台的介绍 2207064
邀请新用户注册赠送积分活动 2095129