Quantitative visualization and detection of acetylcholinesterase activity and its inhibitor based on the oxidation character of ultrathin MnO2 nanosheets. Analytical Methods, Analytical Methods, 2019, | |
Department | 中科院西北特色植物资源化学重点实验室/甘肃省天然药物重点实验室 |
Cai-Hong Li1,2; Xian-Hua Meng1; Dang Lan Huong3; Won Keun Oh3; Wei-Feng Wang1; Jun-Li Yang1 | |
The second department | 505t |
2019-09 | |
Source Publication | Analytical Methods |
Volume | 11Issue:-Pages:4931–4938 |
Abstract | Acetylcholinesterase (AChE) is the key enzyme in the treatment of Alzheimer's disease (AD). In this study, we designed a novel visualization biosensing system for the quantitative detection of AChE and its inhibitors. The MnO2–OPD platform showed the broad detection of AChE ranging from 0.49–98 U L−1 and the LOD was 0.13 U L−1. Furthermore, the AChE–MnO2–OPD biosensing system was successfully applied to screen AChE inhibitors from a natural product library (Northwestern China Plant Natural Material Bank). 3,4-Dihydroxyphenylethanol (HJ-38), a natural product isolated from Zanthoxylum bungeanum pericarps, was found to be a potent AChE inhibitor with an IC50 of 2.8 μM and is comparable to the positive control tacrine with an IC50 of 1.3 μM. Furthermore, a cell-based assay confirmed the neuro-protective potential of compound HJ-38, which supported the practicability of the established AChE–MnO2–OPD biosensing system. |
Keyword | Acetylcholinesterase AChE–MnO2–OPD |
MOST Discipline Catalogue | 理学::化学 |
DOI | DOI: 10.1039/c9ay01721f |
Indexed By | SCI |
If | 2.378 |
Language | 英语 |
compositor | 第一作者单位 |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.licp.cn/handle/362003/25447 |
Collection | 中科院西北特色植物资源化学重点实验室/甘肃省天然药物重点实验室 |
Corresponding Author | Cai-Hong Li; Jun-Li Yang |
Affiliation | 1.Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences (CAS) 2.University of Chinese Academy of Sciences 3.Seoul National University |
Recommended Citation GB/T 7714 | Cai-Hong Li,Xian-Hua Meng,Dang Lan Huong,et al. Quantitative visualization and detection of acetylcholinesterase activity and its inhibitor based on the oxidation character of ultrathin MnO2 nanosheets. Analytical Methods, Analytical Methods, 2019,[J]. Analytical Methods,2019,11(-):4931–4938. |
APA | Cai-Hong Li,Xian-Hua Meng,Dang Lan Huong,Won Keun Oh,Wei-Feng Wang,&Jun-Li Yang.(2019).Quantitative visualization and detection of acetylcholinesterase activity and its inhibitor based on the oxidation character of ultrathin MnO2 nanosheets. Analytical Methods, Analytical Methods, 2019,.Analytical Methods,11(-),4931–4938. |
MLA | Cai-Hong Li,et al."Quantitative visualization and detection of acetylcholinesterase activity and its inhibitor based on the oxidation character of ultrathin MnO2 nanosheets. Analytical Methods, Analytical Methods, 2019,".Analytical Methods 11.-(2019):4931–4938. |
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