砷
拉曼散射
吸附
拉曼光谱
表面增强拉曼光谱
地下水砷污染
光谱学
化学
环境化学
分子
密度泛函理论
水溶液
分析化学(期刊)
材料科学
物理
物理化学
光学
计算化学
有机化学
量子力学
作者
Xamsiya Nurmamat,Zhixi Zhao,Hadiya Ablat,Xiaoyan Ma,Qingqing Xie,Ziqi Zhang,Tian Jian-rong,Huiying Jia,Fupeng Wang
出处
期刊:Analytical Methods
[The Royal Society of Chemistry]
日期:2023-01-01
卷期号:15 (37): 4798-4810
被引量:1
摘要
Given the toxicity of arsenic, there is an urgent need for the development of efficient and reliable detection systems. Raman spectroscopy, a powerful tool for material characterization and analysis, can be used to explore the properties of a wide range of different materials. Surface-enhanced Raman spectroscopy (SERS) can detect low concentrations of chemicals. This review focuses on the progress of qualitative and quantitative studies of the adsorption processes of inorganic arsenic and organic arsenic in aqueous media using Raman spectroscopy in recent years and discusses the application of Raman spectroscopy theory simulations to arsenic adsorption processes. Sliver nanoparticles are generally used as the SERS substrate to detect arsenic. Inorganic arsenic is chemisorbed onto the silver surface by forming As-O-Ag bonds, and the Raman shift difference in the As-O stretching (∼60 cm-1) between As(V) and As(III) allows SERS to detect and distinguish between As(V) and As(III) in groundwater samples. For organic arsenicals, specific compounds can be identified based on spectral differences in the vibration modes of the chemical bonds. Under the same laser excitation, the intensity of the Raman spectra for different arsenic concentrations is linearly related to the concentration, thus allowing quantitative analysis of arsenic. Molecular modeling of adsorbed analytes via density functional theory calculation (DFT) can predict the Raman shifts of analytes in different laser wavelengths.
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