中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Mixed-Ligand Zn-MOFs for Highly Luminescent Sensing of Nitro Compounds

文献类型:期刊论文

作者Wang H ; Yang WT ; Sun ZM
刊名chemistry-an asian journal
出版日期2013
卷号8期号:5页码:982-989
关键词METAL-ORGANIC FRAMEWORKS LANTHANIDE COORDINATION POLYMERS SMALL MOLECULES COMPLEXES DESIGN RECOGNITION FABRICATION POROSITY SENSORS PROBES
ISSN号1861-4728
通讯作者sun zm
中文摘要three znii metal-organic frameworks (zn-mofs), [zn2(tib)(hl1)(h2l1)0.5]2h2o (), [zn2(tib)(l2)]h2o () and [zn3(tib)(l3)2(h2o)6]2h2o (), have been prepared by reactions of 1,3,5-tris(1-imidazolyl)benzene (tib), and biphenyl-3,3,4,4-tetracarboxylic acid (h4l1), 4,4-oxydiphthalic acid (h4l2), or benzene-1,3,5-tricarboxylic acid (h3l3) with corresponding znii salts, respectively. single crystal structure analyses reveal that and are constructed by zn-centered polyhedra, tib and multidentate tetracarboxylate ligands to form 3-dimensional frameworks. in contrast, when the tetracarboxylate ligands were replaced by tricarboxylate ligand, layered structure of is produced. these compounds are further characterized by powder x-ray diffraction, element analyses, thermogravimetric analyses and photoluminescent spectroscopy. the luminescent properties of three zn-mofs dispersed in different solvents have been investigated systematically, demonstrating high sensitivity for the detection of nitro compounds via a fluorescence quenching mechanism.
收录类别SCI收录期刊论文
语种英语
WOS记录号WOS:000318235400019
公开日期2014-04-15
源URL[http://ir.ciac.jl.cn/handle/322003/49883]  
专题长春应用化学研究所_长春应用化学研究所知识产出_期刊论文
推荐引用方式
GB/T 7714
Wang H,Yang WT,Sun ZM. Mixed-Ligand Zn-MOFs for Highly Luminescent Sensing of Nitro Compounds[J]. chemistry-an asian journal,2013,8(5):982-989.
APA Wang H,Yang WT,&Sun ZM.(2013).Mixed-Ligand Zn-MOFs for Highly Luminescent Sensing of Nitro Compounds.chemistry-an asian journal,8(5),982-989.
MLA Wang H,et al."Mixed-Ligand Zn-MOFs for Highly Luminescent Sensing of Nitro Compounds".chemistry-an asian journal 8.5(2013):982-989.

入库方式: OAI收割

来源:长春应用化学研究所

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