Trace Analysis of Gases and Liquids with Spontaneous Raman Scattering Based on the Integrating Sphere Principle

拉曼散射 化学 拉曼光谱 检出限 散射 甲烷 X射线拉曼散射 信号(编程语言) 分析化学(期刊) 光散射 丙烷 微量气体 光学 色谱法 物理 有机化学 程序设计语言 计算机科学
作者
Baokun Huang,Qiannan Zhao,Chenglin Sun,Lin Zhu,Yunhong Zhang,Yunhong Zhang,Cunming Liu,Fabing Li
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:94 (39): 13311-13314 被引量:8
标识
DOI:10.1021/acs.analchem.2c03701
摘要

Spontaneous Raman scattering is an attractive optical technique for the analysis of gases and liquids; however, their low densities and notoriously weak scattering cross sections demand an enhancement of the spontaneous Raman scattering signal for detection. Here, we have developed a simple but highly effective and fast technique to enhance the signal of spontaneous Raman scattering from gases and liquids. The technique is developed based on the principle of an integrating sphere, which realizes the multiple pass actions of low-energy pump light and the collection of all Raman scattered light for a sample volume of 2 mL. By measuring the ambient air sample with an exposure time of 180 s, we found the experimental detection limit of our spontaneous Raman scattering setup can reach 3 ppm. CH4 (<2 ppm) in air can be also examined by increasing the exposure time to 300 s. The performance of our setup used for the analysis of trace gases is further illustrated by characterizing ethane, propane, butane, and pentane in methane as well as isotopes of carbon dioxide. The results reveal that the detection limit of our setup for liquids can be improved by nearly 4 orders of magnitude compared to that of confocal Raman scattering spectroscopy with the same experimental conditions.
最长约 10秒,即可获得该文献文件

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
yang发布了新的文献求助10
刚刚
刚刚
MISAKI发布了新的文献求助10
刚刚
1秒前
Wenge完成签到,获得积分10
1秒前
2秒前
2秒前
Sybsy发布了新的文献求助10
3秒前
桐桐应助凌乱采纳,获得10
3秒前
谦让诗发布了新的文献求助20
3秒前
3秒前
难过松完成签到,获得积分10
4秒前
4秒前
zzz发布了新的文献求助10
4秒前
4秒前
Hao发布了新的文献求助10
4秒前
羊羔蓉完成签到,获得积分10
4秒前
5秒前
七田皿发布了新的文献求助10
5秒前
jason完成签到 ,获得积分10
6秒前
7秒前
7秒前
领导范儿应助aerfas采纳,获得10
8秒前
8秒前
6692067发布了新的文献求助10
9秒前
Son4904发布了新的文献求助10
9秒前
jwb711发布了新的文献求助10
9秒前
兴奋的嚣完成签到 ,获得积分10
10秒前
10秒前
10秒前
bkagyin应助sxp1031采纳,获得10
11秒前
慕青应助雪蛤采纳,获得10
11秒前
觉皇完成签到,获得积分10
11秒前
11秒前
12秒前
12秒前
12秒前
13秒前
an发布了新的文献求助10
13秒前
14秒前
高分求助中
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6493872
求助须知:如何正确求助?哪些是违规求助? 8291084
关于积分的说明 17692577
捐赠科研通 5586141
什么是DOI,文献DOI怎么找? 2915787
邀请新用户注册赠送积分活动 1892889
关于科研通互助平台的介绍 1751389