Ultralow-background SERS substrates for reliable identification of organic pollutants and degradation intermediates
Zhang, Longfei1,2; Zhao, Rongfang2; Wu, Yanzhou2; Zhang, Zhiyang2,6,7; Chen, Yan2,4; Liu, Meichun2,4; Zhou, Na2; Wang, Yunqing2; Fu, Xiuli1; Zhuang, Xuming1; Wang, Jianping3; Chen, Lingxin2,5,6,7
发表期刊JOURNAL OF HAZARDOUS MATERIALS
ISSN0304-3894
2023-10-15
卷号460页码:9
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([email protected]) ; Chen, Lingxin([email protected])
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.
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
收录类别SCI
语种英语
关键词[WOS]ENHANCED RAMAN-SCATTERING ; LABEL-FREE DETECTION ; ORGANOPHOSPHORUS PESTICIDES ; PLASMON RESONANCES ; GOLD NANOPARTICLES ; NANOSTRUCTURES ; PRODUCTS ; REMOVAL ; RESIDUE
研究领域[WOS]Engineering ; Environmental Sciences & Ecology
WOS记录号WOS:001078271300001
引用统计
被引频次:7[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cn/handle/133337/32867
专题中国科学院海岸带环境过程与生态修复重点实验室
中国科学院海岸带环境过程与生态修复重点实验室_海岸带环境工程技术研究与发展中心
通讯作者Zhang, Zhiyang; Chen, Lingxin
作者单位1.Yantai Univ, Sch Chem & Chem Engn, Yantai 264005, Peoples R China
2.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
3.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
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.Binzhou Med Univ, Sch Pharm, Yantai 264003, Peoples R China
6.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Peoples R China
7.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 264003, 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.
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