PEGylated Mesoporous Silica Nanoparticles (MCM-41): A Promising Carrier for the Targeted Delivery of Fenbendazole into Prostrate Cancer Cells

ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://researchdatafinder.qut.edu.au/individual/n12166&rft.title=PEGylated Mesoporous Silica Nanoparticles (MCM-41): A Promising Carrier for the Targeted Delivery of Fenbendazole into Prostrate Cancer Cells&rft.identifier=http://researchdatafinder.qut.edu.au/individual/n12166&rft.publisher=Queensland University of Technology&rft.description=Low water solubility and bioavailability limit the clinical application of drugs. Solubilizing agents, such as Mobil Composition of Matter Number 41 (MCM) as a drug carrier, can improve the water solubility of the drugs. In this study, PEGylated MCM nanoparticles were synthesised and loaded with fenbendazole, which is a potential anticancer drug, to improve its solubility and, as a result, its cytotoxicity effect against human prostate cancer PC-3 cells. All data related to this study are contained within the article, Esfahani, Maedeh Koohi Moftakhari, Alavi, Seyed Ebrahim, Cabot, Peter J., Islam, Nasrul, & Izake, Emad L. (2021) PEGylated Mesoporous Silica Nanoparticles (MCM-41): A Promising Carrier for the Targeted Delivery of Fenbenzadole into Prostrate Cancer Cells. Pharmaceutics, 13(10), Article number: 1605. . &rft.creator=Koohi Moftakhari Esfahani, Maedeh &rft.creator=Alavi, Seyedebrahim &rft.creator=J. Cabot, Peter &rft.creator=Islam, Nazrul &rft.creator=L. Izake, Emad &rft.date=2022&rft.edition=1&rft.relation=https://eprints.qut.edu.au/214034/&rft.coverage=153.317870,-26.996845 152.668523,-26.996845 152.668523,-27.767441 153.317870,-27.767441 153.317870,-26.996845&rft_rights=© Maedeh Koohi Moftakhari Esfahani, 2022. &rft_rights=Creative Commons Attribution 3.0 http://creativecommons.org/licenses/by/4.0/&rft_subject=Biomaterials&rft_subject=Biomedical engineering&rft_subject=ENGINEERING&rft_subject=Nanotechnology&rft_subject=Biotechnology&rft.type=dataset&rft.language=English Access the data