Introduction: The development of efficient drug delivery systems remains a major challenge in pharmaceutical sciences. Nanomaterials, thanks to their exceptional properties, are fundamental to advancements in this field. Among them, lipid-based nanocarriers—such as solid lipid nanoparticles (SLN) and lipid nanocapsules (LNC)—stand out for their ability to encapsulate both hydrophilic and lipophilic drugs, improving solubility and stability, and enabling targeted or controlled release. Ciprofloxacin was used as a model drug in dissolution studies due to its well-documented properties. This study aimed to design and optimize lipid nanocarriers (SLN and LNC) for oral ciprofloxacin delivery, evaluating their stability and release profiles through predictive kinetic modeling to enhance bioavailability and support the rational development of nanomedicines.

Methods: SLN were synthesized using Gelucire 44/14, Span 80, and Tween 80, while LNC were prepared with Kolliphor, soybean lecithin, and Labrafac. Transmission electron microscopy confirmed that both nanocarriers exhibited spherical morphology with an approximate diameter of 50 nm.

Results: Encapsulation efficiencies were 97.9% and 98.0% for SLN and LNC, respectively. Stability studies over two months revealed that LNC remained stable at both 4°C and 25°C, whereas SLN experienced notable particle size changes after 7 days at 25°C. Release profiles in simulated gastric fluid were successfully fitted using the Lumped–Gonzo kinetic model, yielding high correlation coefficients (R² = 0.9980 and 0.9886 for LNC and SLN, respectively).

Conclusions: These results demonstrate that predictive kinetic modeling is a valuable strategy for guiding the rational design of stable and effective lipid-based nanocarriers to improve ciprofloxacin oral bioavailability.