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  4. 中科院海岸带环境过程与生态修复重点实验室
Ultralow-background SERS substrates for reliable identification of organic pollutants and degradation intermediates

文献类型：期刊论文

作者Zhang, Longfei6,7; Zhao, Rongfang6; Wu, Yanzhou6; Zhang, Zhiyang1,2,6; Chen, Yan4,6; Liu, Meichun4,6; Zhou, Na6; Wang, Yunqing6; Fu, Xiuli7; Zhuang, Xuming7
刊名JOURNAL OF HAZARDOUS MATERIALS
出版日期2023-10-15
卷号460页码:9
ISSN号0304-3894
关键词Surface-enhanced Raman scattering Surface plasmon resonance Silver nanoparticles Organic pollutants Degradation intermediates
DOI10.1016/j.jhazmat.2023.132508
通讯作者Zhang, Zhiyang(zyzhang@yic.ac.cn) ; Chen, Lingxin(lxchen@yic.ac.cn)
英文摘要Chemical methods for preparing SERS substrates have the advantages of low cost and high productivity, but the strong background signals from the substrate greatly limit their applications in characterization and identification of organic compounds. Herein, we developed a one-step synthesis method to prepare silver nanoparticle substrates with ultralow SERS background using anionic ligands as stabilizing agents and applied the SERS substrate for the reliable and reproducible identification of typical organic pollutants and corresponding degradation intermediates. The synthesis method shows excellent universality to different reducing agents cooperating with different anionic ligands (Cl-, Br-, I-, SCN-). As model applications, the machine learning algorithm can realize the precise prediction of six organophosphorus pesticides and eight sulfonamide antibiotics with 100% accuracy based on SERS training data. More importantly, the ultralow-background SERS substrate enables one to detect and identify the time-dependent degradation intermediates of organophosphorus pesticides by combining them with density functional theory (DFT) calculations. All the results indicate that the ultralowbackground SERS substrate will greatly push the development of SERS characterization applications.
WOS关键词ENHANCED RAMAN-SCATTERING ; LABEL-FREE DETECTION ; ORGANOPHOSPHORUS PESTICIDES ; PLASMON RESONANCES ; GOLD NANOPARTICLES ; NANOSTRUCTURES ; PRODUCTS ; REMOVAL ; RESIDUE
WOS研究方向Engineering ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001078271300001
资助机构National Natural Science Foundation of China ; Key Deployment Project of Centre for Ocean Mega-Research of Science, Chinese Academy of Sciences ; Taishan Scholars Program ; Shandong Provincial Natural Science Foundation ; Special Fund for the Scholar Program of Yantai
源URL[http://ir.yic.ac.cn/handle/133337/32866]  
专题烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室
烟台海岸带研究所_山东省海岸带环境工程技术研究中心
通讯作者Zhang, Zhiyang; Chen, Lingxin
作者单位1.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 264003, Peoples R China
2.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Peoples R China
3.Binzhou Med Univ, Sch Pharm, Yantai 264003, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.Chinese Acad Sci, Beijing Natl Lab Mol Sci, Mol React Dynam Lab, CAS Res Educ Ctr Excellence Mol Sci,Inst Chem, Beijing 100190, Peoples R China
6.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Res Ctr Coastal Environm Engn & Technol, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China
7.Yantai Univ, Sch Chem & Chem Engn, Yantai 264005, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Longfei,Zhao, Rongfang,Wu, Yanzhou,et al. Ultralow-background SERS substrates for reliable identification of organic pollutants and degradation intermediates[J]. JOURNAL OF HAZARDOUS MATERIALS,2023,460:9.
APA Zhang, Longfei.,Zhao, Rongfang.,Wu, Yanzhou.,Zhang, Zhiyang.,Chen, Yan.,...&Chen, Lingxin.(2023).Ultralow-background SERS substrates for reliable identification of organic pollutants and degradation intermediates.JOURNAL OF HAZARDOUS MATERIALS,460,9.
MLA Zhang, Longfei,et al."Ultralow-background SERS substrates for reliable identification of organic pollutants and degradation intermediates".JOURNAL OF HAZARDOUS MATERIALS 460(2023):9.

入库方式： OAI收割

来源：烟台海岸带研究所

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