journal article·2010-05

RETRACTED ARTICLE: Design and surface modification of potential luminomagnetic nanocarriers for biomedical applications

Ranu K. Dutta, Prashant K. Sharma, Avinash C. Pandey

Journal of Nanoparticle Research· Volume 12· Issue 4
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Abstract

Targeted delivery of therapeutics possesses the potential to localize therapeutic agents to a specific tissue as a mechanism to enhance treatment efficacy and mitigate side effects. Moeities that combine imaging and therapeutic modalities in a single macromolecular construct may confer advantages in the development and applications of nanomedicine. Here is an insight into the synthesis of luminomagnetic (luminescent and magnetic, simultaneously) nanocarriers of ZnO:Fe, synthesized by a simple co-precipitation method and surface modified by the ligand folate. This functionalized luminomagnetic nanocarrier system is a bioconjugation approach which combines the specificity of folate receptors on cancer cells with the excellent optical and magnetic properties of the nanoparticles so as to develop biocompatible molecular imaging agents, drug delivery systems, and hyperthermia agents. The vibrating sample magnetometer (VSM) studies showed clear hysteresis loops having coercivity 5.1 mT with corresponding magnetization of remanence 7.6 × 10−3 emu/g, indicating strong magnetic character of the samples. X-ray diffraction (XRD) and transmission electron microscopy (TEM) measurements show that these nanoparticles are spherical with 6–9 nm size and hence are quite appropriate for in vivo applications as well. The immobilization of folic acid was confirmed by fourier transform infrared (FTIR) analysis. All these properties make these luminomagnetic nanocarriers one of the most feasible candidates for folate receptor-mediated biomedical applications.
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Research context

OpenAlex topics: Nanoparticle-Based Drug Delivery · Graphene and Nanomaterials Applications · Electrospun Nanofibers in Biomedical Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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