Advancing Positron Imaging with Alginate-Based Tracers: Design, Synthesis, and Radiolabelling Methods

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Authors: C. Bruno, Daniele Baiocco, William Peace, Dawid Hampel, Manikandan Kadirvel, Ben Phoenix, Emma Catterson, Zhibing Zhang, Carl Wheldon, Christopher Windows-Yule
Cited by: 0
References: 51

Abstract

Nuclear imaging plays a vital role in both medical diagnostics and the flow visualisation of engineering systems. Among these techniques, Positron Emission Particle Tracking (PEPT) and Positron Emission Tomography (PET) are renowned for their ability to provide high-resolution tracking of radioactive materials in industrial and biological environments. The success of these methods relies on the effective radiolabelling of materials with suitable radioisotopes, ensuring high activation efficiency and optimal tracer properties. However, the radiolabelling of solid particulates, which is essential for PEPT and increasingly relevant for PET, remains technically challenging. To overcome these limitations, this work presents a methods for the formulation, fabrication, and radiolabelling of "designer" tracer particles, utilizing a porous alginate-based hydrogel matrix combined with an evaporative radiolabelling technique. This approach enables the production of small, mechanically robust tracers exhibiting high single-particle activity and radiochemical stability. This document details the synthesis, characterisation, and radiolabelling methodologies developed to produce these tracers, along with a simple extrusion dripping process that allows customisation of tracer properties through controlled formulation and operating parameters. The key components of this method are: • The synthesis of alginate hydrogels through extrusion dripping. • The characterisation of tracer particles. • The radio-labelling procedure to obtain particle tracers.

Fields of Study & Subjects

Hydrogels: synthesis properties applications Innovative Microfluidic and Catalytic Techniques Innovation 3D Printing in Biomedical Research

Publication details

Journal / source
MethodsX
Publisher
Elsevier BV
Volume
16
Pages
103927–103927
Publication date
22 April 2026
Language
EN