RESUMEN
BACKGROUND: Malaria remains a formidable public health obstacle across Africa, Southeast Asia, and portions of South America, exacerbated by resistance to antimalarial medications, such as artemisinin-based combinations. The combination of curcumin and artemisinin shows promise due to its potential for dose reduction, reduced toxicity, synergistic effects, and suitability for drug delivery improvement. OBJECTIVE: This research aims to enhance the solubility and dissolution rates of curcumin and artemisinin by employing Solid Lipid Nanoparticles (SLNs). Oral delivery of both drugs faces challenges due to their poor water solubility, inefficient absorption, and rapid metabolism and elimination. METHOD: The study focuses on formulating and optimizing Solid Lipid Nanoparticles (SLNs) encapsulating artemisinin (ART) and curcumin (CUR). SLNs were developed using the hot homogenization method, incorporating ultrasonication. Drug-excipient compatibility was evaluated using Differential Scanning Calorimetry (DSC). Lipid and surfactant screening was performed to select suitable components. A 3² full factorial design was utilized to investigate the influence of lipid and surfactant concentrations on key parameters, such as entrapment efficiency (%EE) and cumulative drug release (%CDR). Additionally, evaluations of % entrapment efficiency, drug loading, particle size, zeta potential, and in-vitro drug release were conducted. RESULTS: Successful development of artemisinin and curcumin SLNs was achieved using a full factorial design, demonstrating controlled drug release and high entrapment efficiency. The optimized nanoparticles exhibited a size of 114.7nm, uniformity (PDI: 0.261), and a zeta potential of -9.24 mV. Artemisinin and curcumin showed %EE values of 79.1% and 74.5%, respectively, with cumulative drug release of 85.1% and 80.9%, respectively. The full factorial design indicated that increased lipid concentration improved %EE, while higher surfactant concentration enhanced drug release and %EE. Stability studies of the optimized batch revealed no alterations in physical or chemical characteristics. CONCLUSION: The study successfully developed Solid Lipid Nanoparticles (SLNs) for artemisinin and curcumin, achieving controlled drug release, high entrapment efficiency, and desired particle size and uniformity. This advancement holds promise for enhancing drug delivery of herbal formulations.
RESUMEN
BACKGROUND: Dementia associated with Alzheimer's disease (AD) is a neurological disorder. AD is a progressive neurodegenerative condition that predominantly impacts the elderly population, although it can also manifest in younger people through the impairment of cognitive functions, such as memory, cognition, and behaviour. Donepezil HCl and Memantine HCl are encapsulated in Nanostructured Lipid Carriers (NLCs) to prolong systemic circulation and minimize the systemic side effects. OBJECTIVE: This work explores the use of data mining tools to optimize the formulation of NLCs comprising of Donepezil HCl and Memantine HCl for transdermal drug delivery. Neuroprotective drugs and excipients are utilized for protecting the nervous system against damage or degeneration. METHOD: The NLCs were formulated using a high-speed homogenization technique followed by ultrasonication. NLCs were optimized using Box Behnken Design (BBD) in Design Expert Software and artificial neural network (ANN) in IBM SPSS statistics. The independent variables included the ratio of solid lipid to liquid lipid, the percentage of surfactant, and the revolutions per minute (RPM) of the high-speed homogenizer. RESULTS: The NLCs that were formulated had a mean particle size ranging from 67.0±0.45 to 142.4±0.52nm. Both drugs have a %EE range over 75%, and Zeta potential was determined to be - 26±0.36mV. CryoSEM was used to do the structural study. The permeation study showed the prolonged release of the formulation. CONCLUSION: The results indicate that NLCs have the potential to be a carrier for transporting medications to deeper layers of the skin and reaching systemic circulation, making them a suitable formulation for the management of Dementia. Both ANN and BBD techniques are effective tools for systematically developing and optimizing NLC formulation.
