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 department505t
2019-09
Source PublicationAnalytical Methods
Volume11Issue:-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.

KeywordAcetylcholinesterase AChE–MnO2–OPD
MOST Discipline Catalogue理学::化学
DOIDOI: 10.1039/c9ay01721f
Indexed BySCI
If2.378
Language英语
compositor第一作者单位
Citation statistics
Document Type期刊论文
Identifierhttp://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 AuthorCai-Hong Li; Jun-Li Yang
Affiliation1.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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