The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Investigating the effect of N-doping on carbon quantum dots structure, optical properties and metal ion screening
Open accessAbstract
Carbon quantum dots (CQDs) derived from biomass, a suggested green approach for nanomaterial synthesis, often possess poor optical properties and have low photoluminescence quantum yield (PLQY). This study employed an environmentally friendly, cost-effective, continuous hydrothermal flow synthesis (CHFS) process to synthesise efficient nitrogen-doped carbon quantum dots (N-CQDs) from biomass precursors (glucose in the presence of ammonia). The concentrations of ammonia, as nitrogen dopant precursor, were varied to optimise the optical properties of CQDs. Optimised N-CQDs showed significant enhancement in fluorescence emission properties with a PLQY of 9.6% compared to pure glucose derived-CQDs (g-CQDs) without nitrogen doping which have PLQY of less than 1%. With stability over a pH range of pH 2 to pH 11, the N-CQDs showed excellent sensitivity as a nano-sensor for the highly toxic highly-pollutant chromium (VI), where efficient photoluminescence (PL) quenching was observed. The optimised nitrogen-doping process demonstrated effective and efficient tuning of the overall electronic structure of the N-CQDs resulting in enhanced optical properties and performance as a nano-sensor.
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Cites
Quantum-Sized Carbon Dots for Bright and Colorful Photoluminescence
Sun, Y.-P., Zhou, B., Lin, Y., Wang, W., Fernando, K. A. S., Pathak, P., Meziani, M. J., Harruff, B. A., Wang, X., Wang, H., et al. (2006) · Journal of the American Chemical Society · doi:10.1021/ja062677d · Cited by 5,114
Full-Color Light-Emitting Carbon Dots with a Surface-State-Controlled Luminescence Mechanism
Ding, H., Yu, S.-B., Wei, J.-S., & Xiong, H.-M. (2016) · ACS Nano · doi:10.1021/acsnano.5b05406 · Cited by 2,530
Dong, Y., Pang, H., Yang, H. B., Guo, C., Shao, J., Chi, Y., Li, C. M., & Yu, T. (2013) · Angewandte Chemie International Edition · doi:10.1002/anie.201301114 · Cited by 2,267
Georgakilas, V., Perman, J. A., Tucek, J., & Zboril, R. (2015) · Chemical Reviews · doi:10.1021/cr500304f · Cited by 2,147
Removal of heavy metals from industrial wastewaters: a review
Azimi, A., Azari, A., Rezakazemi, M., & Ansarpour, M. (2017) · ChemBioEng Reviews · doi:10.1002/cben.201600010 · Cited by 1,267
Electrochemical Tuning of Luminescent Carbon Nanodots: From Preparation to Luminescence Mechanism
Bao, L., Zhang, Z., Tian, Z., Zhang, L., Liu, C., Lin, Y., Qi, B., & Pang, D. (2011) · Advanced Materials · doi:10.1002/adma.201102866 · Cited by 1,014
A Mini Review on Carbon Quantum Dots: Preparation, Properties, and Electrocatalytic Application
Wang, X., Feng, Y., Dong, P., & Huang, J. (2019) · Frontiers in Chemistry · doi:10.3389/fchem.2019.00671 · Cited by 653
Practical guide for curve fitting in x-ray photoelectron spectroscopy
Major, G. H., Fairley, N., Sherwood, P. M. A., Linford, M. R., Terry, J., Fernandez, V., & Artyushkova, K. (2020) · Journal of Vacuum Science & Technology A · doi:10.1116/6.0000377 · Cited by 588
Photoluminescent carbon nanodots: synthesis, physicochemical properties and analytical applications
Roy, P., Chen, P.-C., Periasamy, A. P., Chen, Y.-N., & Chang, H.-T. (2015) · Materials Today · doi:10.1016/j.mattod.2015.04.005 · Cited by 566
Gan, Z., Xu, H., & Hao, Y. (2016) · Nanoscale · doi:10.1039/c6nr00605a · Cited by 518
Metadata
- Authors
- Nguyen, K. G., Baragau, I.-A., Gromicova, R., Nicolaev, A., Thomson, S. A. J., Rennie, A., Power, N. P., Sajjad, M. T., & Kellici, S.
- Venue
- Scientific Reports
- Published
- 2022-08-15
- Volume
- 12
- Issue
- 1
- Pages
- 13806-13806
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W4291552301
- Cited by
- 269
- References
- 29
- FWCI
- 12.93
- Type
- journal article
- Language
- en
- Open access
- gold
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- Nguyen, K. G., Baragau, I.-A., Gromicova, R., Nicolaev, A., Thomson, S. A. J., Rennie, A., Power, N. P., Sajjad, M. T., & Kellici, S. (2022). Investigating the effect of N-doping on carbon quantum dots structure, optical properties and metal ion screening. Scientific Reports. https://doi.org/10.1038/s41598-022-16893-x
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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