The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Protein-directed synthesis of pH-responsive red fluorescent copper nanoclusters and their applications in cellular imaging and catalysis
Abstract
The development of functional copper nanoclusters (Cu NCs) is becoming increasingly widespread in consumer technologies due to their applications in cellular imaging and catalysis. Herein, we report a simple protein-directed synthesis of stable, water-soluble and fluorescent Cu NCs, using BSA as the stabilising agent. Meanwhile, in this study, hydrazine hydrate (N₂H₄·2H₂O) was used as the reducing agent. N₂H₄·2H₂O was a mild reducing agent suggesting that all processes could be operated at room temperature. The as-prepared Cu NCs showed red fluorescence with a peaking center at 620 nm (quantum yield 4.1%). The fluorescence of the as-prepared BSA-Cu NCs was responsive to pH in that the intensity of fluorescence increased rapidly by decreasing the pH from 12 to 6. Besides, with an arresting set of features including water-dispersibility, red fluorescence, good biocompatibility, surface-bioactivity and small size, the resultant BSA-Cu NCs could be used as probes for cellular imaging and catalysis. In this study, CAL-27 cells and the reaction of oxidation of styrene are used as models to achieve fluorescence imaging and elucidate the catalytic activity of the as-prepared BSA-Cu NCs.
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Cites
Protein-Directed Synthesis of Highly Fluorescent Gold Nanoclusters
Xie, J., Zheng, Y., & Ying, J. Y. (2009) · Journal of the American Chemical Society · doi:10.1021/ja806804u · Cited by 2,590
Sub-nanometre sized metal clusters: from synthetic challenges to the unique property discoveries
Lu, Y., & Chen, W. (2012) · Chemical Society Reviews · doi:10.1039/c2cs15325d · Cited by 1,152
Oligonucleotide-Stabilized Ag Nanocluster Fluorophores
Richards, C. I., Choi, S., Hsiang, J.-C., Antoku, Y., Vosch, T., Bongiorno, A., Tzeng, Y.-L., & Dickson, R. M. (2008) · Journal of the American Chemical Society · doi:10.1021/ja8005644 · Cited by 861
Synthesis of Highly Fluorescent Gold Nanoparticles for Sensing Mercury(II)
Huang, C., Yang, Z., Lee, K., & Chang, H. (2007) · Angewandte Chemie International Edition · doi:10.1002/anie.200700803 · Cited by 763
Catalytically highly active top gold atom on palladium nanocluster
Zhang, H., Watanabe, T., Okumura, M., Haruta, M., & Toshima, N. (2012) · Nature Materials · doi:10.1038/nmat3143 · Cited by 618
Wei, W., Lu, Y., Chen, W., & Chen, S. (2011) · Journal of the American Chemical Society · doi:10.1021/ja109303z · Cited by 481
Water‐Soluble Fluorescent Silver Nanoclusters
Xu, H., & Suslick, K. S. (2010) · Advanced Materials · doi:10.1002/adma.200904199 · Cited by 475
Compact Cysteine-Coated CdSe(ZnCdS) Quantum Dots for in Vivo Applications
Liu, W., Choi, H. S., Zimmer, J. P., Tanaka, E., Frangioni, J. V., & Bawendi, M. (2007) · Journal of the American Chemical Society · doi:10.1021/ja073790m · Cited by 415
Yuan, X., Luo, Z., Zhang, Q., Zhang, X., Zheng, Y., Lee, J. Y., & Xie, J. (2011) · ACS Nano · doi:10.1021/nn202860s · Cited by 396
Le Guével, X., Hötzer, B., Jung, G., Hollemeyer, K., Trouillet, V., & Schneider, M. (2011) · The Journal of Physical Chemistry C · doi:10.1021/jp111820b · Cited by 384
Cited by
A hydrothermal route to water-stable luminescent carbon dots as nanosensors for pH and temperature
Wang, C., Xu, Z., Cheng, H., Lin, H., Humphrey, M. G., & Zhang, C. (2015) · Carbon · doi:10.1016/j.carbon.2014.10.035 · Cited by 477
Self-citation
Metadata
- Authors
- Wang, C., Wang, C., Xu, L., Cheng, H., Lin, Q., & Zhang, C.
- Venue
- Nanoscale
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2014
- Volume
- 6
- Issue
- 3
- Pages
- 1775-1781
- ISSN
- 2040-3364 (ISSN-L)
- 2040-3372
- OpenAlex
- W2137096364
- Cited by
- 256
- References
- 32
- FWCI
- 8.88
- Type
- journal article
- Language
- en
- Open access
- closed
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