亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Novel method based on inherent connection between absorption and fluorescence spectra for water contaminant analysis

稳健性(进化) 谱线 生物系统 荧光 吸收光谱法 追踪 光谱学 污染 光谱形状分析 分析化学(期刊) 化学 环境科学 计算机科学 化学物理 光学 环境化学 物理 量子力学 生物 生物化学 基因 操作系统 生态学 天文
作者
Yingtian Hu,Hang Xing,Dongdong Zhao,Yuxin Xu,Yali Qin,Hongliang Ren
出处
期刊:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy [Elsevier]
卷期号:275: 121138-121138 被引量:1
标识
DOI:10.1016/j.saa.2022.121138
摘要

Multi-source spectroscopy is increasingly applied in water contaminant analysis, and general existing spectral features are based on direct mathematical statistics rather than revealing inherent connection between multisource spectra, which has restricted the accuracy and robustness performance. Here in, a novel method is proposed and it is based on the inherent connection between fluorescence and absorption spectra, which can reflect deeper information than conventional methods. The relevant theory was analyzed based on energy level transition and the symmetry between absorption and fluorescence spectra, and then three features were extracted related to internal molecular properties and dependent on two sources of spectral information simultaneously. The three features include the width of the fluorescence emission peak, Stokes shift and symmetry axis between absorption peak and fluorescent emission peak, that correspond to bandwidth of the ground state, vibrational relaxations and conjugate systems respectively. Their significant change of values in monitoring can reflect richer and deeper information in pollution events for contamination tracing and subsequent processing, such as the category, common properties and functional groups of contaminants. The effectiveness of this feature extraction method was assessed by conducting experiments with sample mixtures of typical chemicals and four real water samples. The results highlight the potential of these features in water pollution early warning and contaminant analysis with richer information and stronger robustness.
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
刚刚
Joshua发布了新的文献求助10
刚刚
1秒前
1秒前
2秒前
3秒前
3秒前
3秒前
3秒前
3秒前
3秒前
优秀冰真完成签到,获得积分10
3秒前
3秒前
4秒前
6秒前
7秒前
7秒前
7秒前
7秒前
上官若男应助平常的建辉采纳,获得10
7秒前
7秒前
7秒前
7秒前
快乐书双发布了新的文献求助10
10秒前
Bobo完成签到,获得积分10
10秒前
11秒前
komorebi发布了新的文献求助10
21秒前
22秒前
23秒前
快乐书双完成签到,获得积分10
24秒前
思川发布了新的文献求助10
26秒前
28秒前
29秒前
尽落完成签到 ,获得积分10
29秒前
sweet完成签到 ,获得积分10
30秒前
leyellows完成签到 ,获得积分10
33秒前
小鸭子发布了新的文献求助30
33秒前
zhaoyu完成签到 ,获得积分10
40秒前
羊肉串和雪菲力完成签到,获得积分10
41秒前
科研通AI6.1应助kk采纳,获得10
43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
Kinesiophobia : a new view of chronic pain behavior 2000
The Social Psychology of Citizenship 1000
Streptostylie bei Dinosauriern nebst Bemerkungen über die 540
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Brittle Fracture in Welded Ships 500
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 5920637
求助须知:如何正确求助?哪些是违规求助? 6904064
关于积分的说明 15813973
捐赠科研通 5047597
什么是DOI,文献DOI怎么找? 2716297
邀请新用户注册赠送积分活动 1669669
关于科研通互助平台的介绍 1606687