The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Amplifying the Red-Emission of Upconverting Nanoparticles for Biocompatible Clinically Used Prodrug-Induced Photodynamic Therapy
Open accessAbstract
A class of biocompatible upconverting nanoparticles (UCNPs) with largely amplified red-emissions was developed. The optimal UCNP shows a high absolute upconversion quantum yield of 3.2% in red-emission, which is 15-fold stronger than the known optimal β-phase core/shell UCNPs. When conjugated to aminolevulinic acid, a clinically used photodynamic therapy (PDT) prodrug, significant PDT effect in tumor was demonstrated in a deep-tissue (>1.2 cm) setting in vivo at a biocompatible laser power density. Furthermore, we show that our UCNP-PDT system with NIR irradiation outperforms clinically used red light irradiation in a deep tumor setting in vivo. This study marks a major step forward in photodynamic therapy utilizing UCNPs to effectively access deep-set tumors. It also provides an opportunity for the wide application of upconverting red radiation in photonics and biophotonics.
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Cites
5-Aminolevulinic Acid-Based Photodynamic Therapy: Principles and Experimental Research
Peng, Q., Berg, K., Moan, J., Kongshaug, M., & Nesland, J. M. (1997) · Photochemistry and Photobiology · doi:10.1111/j.1751-1097.1997.tb08549.x · Cited by 615
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Metadata
- Authors
- Punjabi, A., Wu, X., Tokatli-Apollon, A., El-Rifai, M., Lee, H., Zhang, Y., Wang, C., Liu, Z., Chan, E. M., Duan, C., & Han, G.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2014-10-07
- Volume
- 8
- Issue
- 10
- Pages
- 10621-10630
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2041459061
- Cited by
- 284
- References
- 1
- FWCI
- 16.53
- Type
- journal article
- Language
- en
- Open access
- hybrid
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