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]
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
梦璃完成签到,获得积分10
1秒前
独特背包发布了新的文献求助10
1秒前
芒果味猕猴桃完成签到,获得积分10
2秒前
2秒前
小小发布了新的文献求助10
3秒前
hs发布了新的文献求助10
4秒前
佳小佳完成签到,获得积分10
5秒前
6秒前
8R60d8应助majf采纳,获得10
8秒前
8秒前
Green完成签到,获得积分10
9秒前
你博哥完成签到 ,获得积分10
9秒前
鲤鱼幻香完成签到,获得积分10
9秒前
岁月轮回发布了新的文献求助20
9秒前
大壮应助ymk采纳,获得10
10秒前
huazi完成签到,获得积分10
12秒前
问心完成签到,获得积分10
13秒前
13秒前
深情安青应助lily88采纳,获得10
13秒前
没名字完成签到,获得积分10
14秒前
yufanhui应助坚强的笑天采纳,获得10
14秒前
Estrella应助qaz采纳,获得10
14秒前
jiansu123发布了新的文献求助30
14秒前
WSY完成签到 ,获得积分10
15秒前
维生素CCC完成签到 ,获得积分10
15秒前
张张完成签到 ,获得积分10
15秒前
开放又亦完成签到 ,获得积分10
16秒前
HH完成签到,获得积分10
17秒前
123mmmm发布了新的文献求助10
17秒前
香蕉觅云应助x凡采纳,获得20
20秒前
wanci应助陶安柏采纳,获得10
20秒前
一只虎子完成签到,获得积分10
20秒前
kk完成签到,获得积分10
21秒前
23秒前
jiansu123完成签到,获得积分20
23秒前
丘比特应助王煊采纳,获得10
23秒前
foxdaopo完成签到,获得积分10
23秒前
25秒前
科研牛马完成签到,获得积分10
27秒前
一一完成签到 ,获得积分10
27秒前
高分求助中
The Oxford Handbook of Social Cognition (Second Edition, 2024) 1050
Kinetics of the Esterification Between 2-[(4-hydroxybutoxy)carbonyl] Benzoic Acid with 1,4-Butanediol: Tetrabutyl Orthotitanate as Catalyst 1000
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
Handbook of Qualitative Cross-Cultural Research Methods 600
Chen Hansheng: China’s Last Romantic Revolutionary 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3139810
求助须知:如何正确求助?哪些是违规求助? 2790682
关于积分的说明 7796255
捐赠科研通 2447121
什么是DOI,文献DOI怎么找? 1301574
科研通“疑难数据库(出版商)”最低求助积分说明 626305
版权声明 601176