Release Kinetics Model Fitting of Drugs with Different Structures from Viscose Fabric

Abstract

(1) Background: It is simpler and more environmentally friendly to use supercritical CO2 fluid technology to process skincare viscose fabrics. Therefore, it is significant to study the release properties of drug-loaded viscose fabrics to choose suitable skincare drugs. In this work, the release kinetics model fittings were investigated in order to clarify the release mechanism and provide a theoretical basis for processing skincare viscose fabrics with supercritical CO2 fluid. (2) Methods: Nine kinds of drugs with different substituent groups, different molecular weights, and different substitution positions were loaded onto viscose fabrics using supercritical CO2 fluid. Then, the drug-loaded viscose fabrics were placed in an ethanol medium, and the release curves were drawn. Finally, the release kinetics were fitted using zero-order release kinetics, the first-order kinetics model, the Higuchi model, and the Korsmeyer–Peppas model. (3) Results: The Korsmeyer–Peppas model was the best-fitting model for all the drugs. Drugs with different substituent groups were released via a non-Fickian diffusion mechanism. On the contrary, other drugs were released via a Fickian diffusion mechanism. (4) Conclusions: In view of the release kinetics, it was found that the viscose fabric can swell when a drug with a higher solubility parameter is loaded onto it using supercritical CO2 fluid, and the release rate is also slower.

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“…The release pattern is associated with the Fickian diffusion process when n < 0.45. For 0.45≤ n < 0.89, the drug transport is non-Fickian in nature. , According to the R 2 values, the best fit was obtained by using the KP model ( R 2 = 0.98; n = 0.45). Thus the release pattern is consistent with the non-Fickian diffusion mechanism.…”

A Novel Approach for Dermal Application of Pranoprofen-Loaded Lipid Nanoparticles for the Treatment of Post-Tattoo Inflammatory Reactions

“…When the value of n falls within the range of 0.45 to 0.89, as is the case for PRA-NLC (n = 0.63), drug release is considered to exhibit the non-Fickian transport of spherical systems, suggesting that the release is driven by diffusion [63,64]. Differently, the n value for PRA-solution (Table S2) was 0.04, indicating that the drug was released according to a Fickian diffusion (n < 0.45) [65].…”

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“…Mathematical and semi-empirical models such as zero-order equations, first-order equations, Higuchi, and second-order polynomial models have been used to fit and explain the drug release process under various experimental conditions [33]. To further investigate the in vitro drug release kinetics of GA-AKP-Ns, the release of GA and AKP in simulated gastric fluid at 1, 3, 5, 7, 9, and 11 days was measured and fitted to three mathematical drug release models: the zero-order equation, the first-order equation, and the Higuchi equation [34]. Among them, the zero-order equation can fit the release model of a controlledrelease formulation, and the first-order equation and Higuchi equation can fit the release model of a sustained-release formulation (Figure 9).…”