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 生态学 生物化学 量子力学 天文 生物 基因 操作系统
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 BV]
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
搜集达人应助9527采纳,获得10
6秒前
思源应助科研通管家采纳,获得10
16秒前
Wang完成签到 ,获得积分20
16秒前
貔貅完成签到 ,获得积分10
18秒前
田様应助简单谷波采纳,获得30
26秒前
yh应助啊棕采纳,获得10
1分钟前
1分钟前
简单谷波发布了新的文献求助30
2分钟前
2分钟前
9527发布了新的文献求助10
2分钟前
3分钟前
balko发布了新的文献求助10
3分钟前
笨笨的怜雪完成签到 ,获得积分10
4分钟前
紫焰完成签到 ,获得积分10
4分钟前
balko完成签到,获得积分10
4分钟前
4分钟前
科研通AI2S应助科研通管家采纳,获得10
4分钟前
asdf完成签到 ,获得积分10
4分钟前
简单谷波完成签到,获得积分10
4分钟前
roe完成签到 ,获得积分10
4分钟前
yuchuncheng完成签到,获得积分10
5分钟前
Eatanicecube完成签到,获得积分10
6分钟前
6分钟前
Akim应助anke采纳,获得10
6分钟前
科研通AI6.4应助anke采纳,获得10
6分钟前
6分钟前
南岸发布了新的文献求助10
6分钟前
6分钟前
6分钟前
CipherSage应助南岸采纳,获得10
6分钟前
anke发布了新的文献求助10
6分钟前
Sandy发布了新的文献求助10
7分钟前
anke发布了新的文献求助10
7分钟前
zhao完成签到 ,获得积分10
7分钟前
顾矜应助anke采纳,获得10
7分钟前
liuya关注了科研通微信公众号
7分钟前
7分钟前
7分钟前
anke发布了新的文献求助10
7分钟前
聪明但笨发布了新的文献求助10
7分钟前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 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 6472792
求助须知:如何正确求助?哪些是违规求助? 8276356
关于积分的说明 17646549
捐赠科研通 5552279
什么是DOI,文献DOI怎么找? 2909630
邀请新用户注册赠送积分活动 1886391
关于科研通互助平台的介绍 1737892