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Target-triggered cascade assembly of a catalytic network as an artificial enzyme for highly efficient sensing† †Electronic supplementary information (ESI) available: Experimental details, and supporting figures and tables. See DOI: 10.1039/c7sc01453h Click here for additional data file.
| Content Provider | Semantic Scholar |
|---|---|
| Author | Zhang, Lei Ma, Fengjiao Lei, Jianping Liu, Jintong Ju, Huangxian |
| Copyright Year | 2017 |
| Abstract | Determining the catalytic activity of artificial enzymes is an ongoing challenge. In this work, we design a porphyrin-based enzymatic network through the target-triggered cascade assembly of catalytic nanoparticles. The nanoparticles are synthesized via the covalent binding of hemin to amino-coated gold nanoparticles and then the axial coordination of the Fe center with a dual-functional imidazole or pyridine derivative. The network, which is specifically formed by coordination polymerization triggered by Hg2+ as the target, shows high catalytic activity due to the triple amplification of enzymatic activity during the cascade assembly. The catalytic dynamics are comparable to those of natural horseradish peroxidase. The catalytic characteristics can be ultrasensitively regulated by the target, leading to a selective methodology for the analysis of sub-attomolar Hg2+. It has also been used for "signal-on" imaging of reactive oxygen species in living cells. This work provides a new avenue for the design of enzyme mimics, and a powerful biocatalyst with signal switching for the development of biosensing protocols. |
| Starting Page | 4833 |
| Ending Page | 4839 |
| Page Count | 7 |
| File Format | PDF HTM / HTML |
| DOI | 10.1039/c7sc01453h |
| PubMed reference number | 28959405 |
| Journal | Medline |
| Volume Number | 8 |
| Alternate Webpage(s) | http://www.rsc.org/suppdata/c7/sc/c7sc01453h/c7sc01453h1.pdf |
| Alternate Webpage(s) | https://doi.org/10.1039/c7sc01453h |
| Journal | Chemical science |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |