Abstract
Personalised pharmacokinetic models imply stepping away from the classical assumption of homogeneous drug mixing in various tissue compartments in the body, with a particular impact on obese patients. In this work, the pharmacokinetic compartmental model structure is revisited to account for non-uniform distribution of uptake/clearance time constants in patients as a nonlinear function of body mass index. Simulations are confirming expected patterns of drug distribution in the body and can account for post-anesthesia side effects up to 72 hours. We apply spectroscopy to extract the complex impedance in fat tissue samples. The data is modelled by a Cole-Cole model, where parameters of the fractional order impedance model are optimized using a genetic algorithm. The findings suggest that fat tissue will exhibit anomalous diffusion when drug uptake and clearance are present.
| Original language | English |
|---|---|
| Pages (from-to) | 61-66 |
| Number of pages | 6 |
| Journal | IFAC-PapersOnLine |
| Volume | 58 |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - 1 Jul 2024 |
| Event | 12th IFAC Conference on Fractional Differentiation and its Applications, ICFDA 2024 - Bordeaux, France Duration: 9 Jul 2024 → 12 Jul 2024 |
Bibliographical note
Publisher Copyright:© 2024 The Authors. This is an open access article under the CC BY-NC-ND license.
Keywords
- Cole-Cole model
- bioimpedance
- compartmental modelling
- fractional order impedance model
- frequency domain
- general anesthesia
- spectroscopy
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