化学
荧光
传感器阵列
金属有机骨架
线性判别分析
类黄酮
生物系统
相似性(几何)
纳米技术
人工智能
有机化学
计算机科学
机器学习
吸附
抗氧化剂
材料科学
物理
图像(数学)
生物
量子力学
作者
Qiao Li,Jie Gao,Zhe Zheng,Di Ning,Qian Wang,Xiaomeng Du,Bo Zhao,Wen‐Juan Ruan,Yue Li
出处
期刊:Talanta
[Elsevier]
日期:2019-10-01
卷期号:203: 248-254
被引量:23
标识
DOI:10.1016/j.talanta.2019.05.073
摘要
Metal-organic frameworks (MOFs) are hotly investigated as a novel kind of fluorescent sensing materials in recent years. However, the application of MOF sensing to drug analysis is still very difficult yet, because the structural similarity among drug homolog-ues exceeds the discrimination ability of MOFs. Array sensing technique, which relies on the combined responses of a group of sensing materials, is a viable way to solve this problem. In this work, we chose five luminescent MOFs with different fluorophores to construct a fluorescent sensor array for the analysis of flavonoids. With the response pattern of these MOFs and the statistical methods of linear discriminant analysis and hierarchical cluster analysis, nine flavonoids with similar structures were correctly discriminated. By the combination with UV spectrum, our method could even realize the qualification and quantification of the flavonoid samples with unknown concentrations. This work is the first time of using MOFs to successfully distinguish multiple drug homolog-ues.
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