Evidence map›Paper›PMID 40947739›Full record

ArticleCurrent pharmaceutical design2026

Quantification and Engineering of Lipid Nanocapsule Formulations for the Delivery of Niclosamide as an Anti-Cancer Drug.

Hatice Demirtas, Kenan Can Tok, Mehmet Gumustas, Ceyda Tuba Sengel-Turk

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Article in Current pharmaceutical design, 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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5 · Who and what money

Authors and funding

4 authors.

Hatice DemirtasDepartment of Pharmaceutical Technology, Faculty of Pharmacy, Karadeniz Technical University, Trabzon, Türkiye.ORCID 0000-0001-6626-2538
Kenan Can TokDepartment of Forensic Toxicology, Institute of Forensic Sciences, Ankara University, Ankara, Türkiye.ORCID 0000-0002-9353-8867
Mehmet GumustasDepartment of Forensic Toxicology, Institute of Forensic Sciences, Ankara University, Ankara, Türkiye.ORCID 0000-0003-2793-7154
Ceyda Tuba Sengel-TurkDepartment of Pharmaceutical Technology, Faculty of Pharmacy, Ankara University, Ankara, Türkiye.ORCID 0000-0003-4123-7226

Funding

Türkiye Bilimsel ve Teknolojik Araştirma Kurumu Scientific and Technical Research Council of Turkey 123S083
6 · The paper itself

Abstract

introductionRecent studies indicate that niclosamide demonstrates considerable promise as both an anthelmintic agent and a possible anticancer medication. Given the increasing interest in nano-sized drug delivery methods for cancer therapy, lipid nanocapsules (LNCs) have emerged as a viable approach to enhance the bioavailability of poorly soluble pharmaceuticals due to their beneficial properties. This research intends to develop niclosamide-loaded lipid nanocapsules (NIC-LNCs) using the phase inversion technique, followed by the optimization of these formulations via the Box-Behnken experimental design.

methodsA reverse-phase high-performance liquid chromatography (RP-HPLC) method was devised and validated for quantifying niclosamide in the LNC formulations. Optimal chromatographic separation was attained utilizing an Agilent Eclipse XDB-C18 column (150×4.6 mm, 5 μm i.d.) with a mobile phase of a 50:50 (v/v) mixture of acetonitrile and 0.1% H

resultsThe optimization of the NIC-LNC formulation through the Box-Behnken design resulted in an optimal formulation labeled LNC5, consisting of 4% niclosamide, 20% lipid, and 20% surfactant. The proven RPHPLC method enables accurate quantification of NIC in the LNC formulations. The refined NIC-LNC formulation exhibited developed attributes as assessed by the design. DISCUSSION: NIC-LNCs were successfully prepared with particle sizes below 100 nm, narrow size distributions (PDI<0.2), and negative zeta potential values in accordance with the literature. All formulations exhibited high encapsulation efficiency and sustained drug release profiles. The optimum formulation revealed a particle size of 43.29 ± 0.32 nm, encapsulation efficiency of 99.99 ± 0.02%, and drug release at one week of 68.85 ± 1.76%. The formulation maintained stability throughout the short-term study period.

conclusionThe findings indicate that LNC systems are a promising method for drug administration, especially for anticancer drugs with limited solubility in water.

Indexed as

Antineoplastic AgentsDrug Delivery SystemsLipidsNanocapsulesNiclosamideChromatography, High Pressure LiquidDrug CompoundingHumansAntineoplastic AgentsLipidsNanocapsulesNiclosamideBox-Behnken designHPLClipid nanocapsulesNiclosamideoptimizationvalidation

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.