Bibliographic Details
| Title: |
Pt Nanoparticles Anchored on NH2-MIL-101 with Efficient Peroxidase-Like Activity for Colorimetric Detection of Dopamine |
| Authors: |
Jing Li, Keying Xu, Yang Chen, Jie Zhao, Peiyao Du, Libing Zhang, Zhen Zhang, Xiaoquan Lu |
| Source: |
Chemosensors, Vol 9, Iss 6, p 140 (2021) |
| Publisher Information: |
MDPI AG, 2021. |
| Publication Year: |
2021 |
| Collection: |
LCC:Biochemistry |
| Subject Terms: |
peroxidase-like activity, Pt NPs, metal–organic framework, colorimetric, dopamine, Biochemistry, QD415-436 |
| More Details: |
Dopamine (DA) is an important catecholamine neurotransmitter that plays a highly relevant role in regulating the central nervous system, and abnormal DA content can cause many immune-related diseases. Hence, it is of significance to sensitively and specifically identify DA for clinical medicine. In this work, Pt/NH2-MIL-101 hybrid nanozymes with bimetallic catalytic centers were fabricated by forming coordinate bonds between Pt nanoparticles (Pt NPs) and –NH2 on metal–organic frameworks (MOF). The catalytic activity of Pt/NH2-MIL-101 was increased by 1.5 times via enlarging the exposure of more active sites and improving the activity of the active sites through the strategy of forming bimetallic catalytic centers. In the presence of DA, competing with 3, 3′, 5, 5′-tetramethylbenzidine (TMB) for the generated hydroxyl radicals (•OH), the blue oxidation state TMB (Ox-TMB) is reduced to colorless TMB, showing dramatic color changes. The Pt/NH2-MIL-101-based colorimetric assay enables the sensitive and robust detection of DA molecules with a detection limit of only 0.42 μM and has an observable potential in clinical applications. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2227-9040 |
| Relation: |
https://www.mdpi.com/2227-9040/9/6/140; https://doaj.org/toc/2227-9040 |
| DOI: |
10.3390/chemosensors9060140 |
| Access URL: |
https://doaj.org/article/d436ffbef8f1434c93cea293e9032a03 |
| Accession Number: |
edsdoj.436ffbef8f1434c93cea293e9032a03 |
| Database: |
Directory of Open Access Journals |
