Related Experiment Video
Updated: Feb 28, 2026

A Comprehensive Procedure to Evaluate the In Vivo Performance of Cancer Nanomedicines
Published on: March 4, 2017
Biodistribution of Tc-99m-Labeled Solid Lipid Nanoparticles and Evaluation of Their Possibility as a
Hayrettin Eroglu1, Arif Kürsad Ayan2, Ayse Yenilmez3
1Department of Chemical Engineering, Faculty of Engineering and Architecture, Erzurum Technical University, 25110 Erzurum, Türkiye.
Abstract:
Solid lipid nanoparticles (SLNs) are submicron colloidal systems widely investigated as drug carriers; however, their intrinsic biodistribution properties are also critical when SLNs are considered for diagnostic imaging. In the present proof-of-concept study, drug-free SLNs were evaluated exclusively as a radiolabeled imaging agent rather than as a drug delivery system. SLNs were radiolabeled with Technetium-99m (99mTc), and their in vivo biodistribution was investigated using gamma camera imaging, ex vivo organ counting, and confocal microscopy. SLNs were prepared by a microemulsion-low-temperature solidification method and characterized by dynamic light scattering (DLS), scanning electron microscopy (SEM), and differential scanning calorimetry (DSC). Radiolabeling efficiency was determined by instant thin-layer chromatography (ITLC) and exceeded 95%. Following intravenous administration in a rabbit model, dynamic scintigraphic imaging demonstrated predominant uptake in the liver and spleen. These findings were quantitatively confirmed by ex vivo biodistribution analysis at 4 h post-injection and qualitatively supported by confocal microscopy of liver and spleen tissues. The results indicate that 99mTc-labeled SLNs behave as RES-targeting radiocolloids and may serve as potential agents for liver-spleen scintigraphy.
More Related Videos
09:55Radiosynthesis, Quality Control, and Small Animal Positron Emission Tomography Imaging of 68Ga-Labelled Nano Molecules
Published on: October 4, 2024
10:54Preparation and Evaluation of 99mTc-labeled Tridentate Chelates for Pre-targeting Using Bioorthogonal Chemistry
Published on: February 4, 2017