ArticleEuropean journal of drug metabolism and pharmacokinetics2026
Limited Sampling Strategies to Estimate the Exposition of Different Lipid Nanocaspules.
Article in European journal of drug metabolism and pharmacokinetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
BACKGROUND AND
objectiveThe use of nanoparticles in the field of drug delivery and the optimization of pharmacokinetic profiles in vivo is a growing area of research. The aim of this study is to determine the key sampling times and the factors that exert a significant influence on the development of a pharmacokinetic model that can reliably predict the area under the curve (AUC) of lipid nanocapsules in rats using a limited sampling strategy (LSS).
methodsThis study was conducted in rats following intravenous injection of lipid nanocapsules (LNCs). Förster resonance energy transfer (FRET)-based quantification was used to monitor pharmacokinetics across ten initial time points. A limited sampling strategy (LSS) model was developed using principal component multiple linear regression, combined with recursive feature elimination and leave-one-out crossvalidation (RFECV-LOOCV).
resultsThe final model is based on three sampling time points (180, 360, and 600 min) and demonstrates strong predictive performance (R
conclusionsThis approach reduces the number of blood samples by 70% while maintaining high accuracy. The main limitations concern its generalizability to other formulations or species, which would require additional validation.
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