Abstract
Abstract: In this work, Sulfur and Nitrogen co-doped carbon nanoparticles (SN-CNPs) were synthesized by hydrothermal method using dried beet powder as the carbon source. TEM and AFM images indicated that these SN-CNPs form a round-shape ball with an approximate diameter of 50 nm. The presence of Sulfur and Nitrogen in these carbon-based nanoparticles was confirmed by FTIR and XPS analyses. These SN-CNPs were found to have strong phosphatase-like enzymatic activity. The enzymatic behavior of SN-CNPs follows the Michaelis–Menten mechanism with greater vmax and much lower Km values compared to alkaline phosphatase. Their antimicrobial properties were tested on E. coli and L. lactis, with MIC values of 63 μg mL−1 and 250 μg mL−1, respectively. SEM and AFM images of fixed and live E. coli cells revealed that SN-CNPs strongly interacted with the outer membranes of bacterial cells, significantly increasing the cell surface roughness. The chemical interaction between SN-CNPs and phospholipid modeled using quantum mechanical calculations further support our hypothesis that the phosphatase and antimicrobial properties of SN-CNPs are due to the thiol group on the SN-CNPs, which is a mimic of the cysteine-based protein phosphatase. The present work is the first to report carbon-based nanoparticles with strong phosphatase activity and propose a phosphatase natured antimicrobial mechanism. This novel class of carbon nanozymes has the potential to be used for effective catalytic and antibacterial applications. Graphical abstract: [Figure not available: see fulltext.]
| Original language | English |
|---|---|
| Article number | 76 |
| Journal | Discover Nano |
| Volume | 18 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Dec 2023 |
Funding
This work was supported by Nazarbayev University Small Grant No. 110119FD4542 (HF), 110119FD4531 (YX), 11022021FD2924 (TTP) and 11022021FD2928 (HF). The Authors thank Ms. Nurgul Daniyeva and Ms. Laura Khamkhash for their effort in the preparing SEM samples and taking SEM images.The Authors are grateful to the Siberian Supercomputer Centre of Institute of Computational Mathematics and Mathematical Geophysics (Russian Academy of Sciences, Novosibirsk, Russian Federation) for kindly providing the computational resources; the technical personnel of the Institute are also thanked for the assistance. The core and computational facilities offered by Nazarbayev University are acknowledged.
| Funders | Funder number |
|---|---|
| Russian Academy of Sciences, Novosibirsk, Russian Federation | |
| Siberian Supercomputer Centre of Institute of Computational Mathematics and Mathematical Geophysics | |
| Nazarbayev University | 11022021FD2924, 11022021FD2928, 110119FD4531, 110119FD4542 |
Keywords
- Carbon-based nanoparticles
- Enzymatic activity
- Minimum inhibitory concentration
- Phosphatase and antimicrobial properties
ASJC Scopus subject areas
- General Materials Science
- Condensed Matter Physics
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