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Updated: Jul 6, 2026

Optimization of Radiochemical Reactions using Droplet Arrays
Published on: February 12, 2021
The use of a modified Fedorov exchange algorithm to optimise sampling times for population pharmacokinetic
Kayode Ogungbenro1, Gordon Graham, Ivelina Gueorguieva
1Centre for Applied Pharmacokinetic Research (CAPKR), The University of Manchester, Oxford Road, Manchester M13 9PL, UK. kayode.ogungbenro@manchester.ac.uk
Abstract:
We propose a new algorithm for optimising sampling times for population pharmacokinetic experiments using D-optimality. The algorithm was used in conjunction with the population Fisher information matrix as implemented in MATLAB (PFIM 1.1 and 1.2) to evaluate population pharmacokinetic designs. The new algorithm based on the classical Fedorov exchange algorithm optimises the determinant of the population Fisher information matrix. The performance of the new algorithm has been compared with other existing algorithms including simplex, simulated annealing and adaptive random search. The new algorithm performed better especially when dealing with complex designs at the expense of longer computing times.
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