Browsing by Author "Caliskan, Gulizar"

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Endemic Inula Viscosa (l.) Extracts and Their Potential for Both Biosynthesizing Silver Nanoparticles and Anti-Microbial Activity
(Springer Science and Business Media Deutschland GmbH, 2024) Ozbey, B.O.; Çalışkan Bilgin, Gülizar; Caliskan, Gulizar
Green synthesis has recently become one of the most popular methods, as it is both low-budget and environmentally friendly. One of the important considerations in green synthesis is to perform an optimization study because it is necessary to understand how different application conditions (pH, incubation time, metal concentration, etc.) can affect the formation of nanoparticles with different morphology and efficiency, underlining the need for optimization of the process. In this study, firstly the endemic Inula Viscosa (L.) plant, popularly known as cancer grass, was extracted using distillation method. Then, silver nanoparticle (AgNPs) biosynthesis was carried out using the extract of Inula Viscosa (L.) plant. Their physicochemical characterization was conducted using Fourier-transformed infrared spectroscopy (FTIR), UV-visible spectrophotometry (UV-Vis), Scanning Electron Microscopy (SEM), and Dynamic Light Scattering (DLS). The time, pH, and AgNO3 concentration, which affect the characteristic and morphological properties of AgNPs, were optimized with the Box Behnken Design (BBD) method, with statistical and experimental design determined by means of a Design Expert statistical software program. The disk diffusion method was also implemented and optimized to increase antimicrobial activity. The study determined the optimal levels of AgNPs, which were green synthesized by Inula Viscosa (L.), provided proof of its antimicrobial properties, and demonstrated their potential to be used as a low-budget aid to new generation clinical treatment methods. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Optimization and Characterization of Aspirin- and Ibuprofen-Loaded Lipid-Based Nanoparticle Synthesis for Antibacterial Activity and Cytotoxic Effect
(Wiley, 2025) Caliskan, Gulizar; Ergonul, Smyrna; Cansu, Zuhal Naz; Kaplan, Busra
Lipid-based nanoparticles (LNPs) are favored for drug delivery because of their low toxicity, high biocompatibility, ability to self-assemble into nanoparticles, and ability to enhance drug bioavailability, thereby improving drug release modulation and pharmacokinetics. In this study, the regional palm fruit extract and thyme oil were used as an oil source for the synthesis of LNPs with/without drugs. The Design Expert statistical software program, Central Composite Design (CCD) method was used to optimize the effect of drug:lipid ratio (1:3-1:7), drug type (ibuprofen or aspirin) and incubation time (5-15 min) on encapsulation efficiency (EE%), and antibacterial activity. The maximum EE% of 94% was achieved using ibuprofen at a drug:lipid ratio of 1:7 with a 5-min incubation time. Physicochemical characterization showed the inclusion of both aspirin and ibuprofen imparted a strong negative charge (up to -15 mV) and yielded average sizes ranging from 180 to 560 nm. Furthermore, ibuprofen- and aspirin-loaded LNPs exhibited promising cytotoxic effects on the hepatocarcinoma cell line (Huh7), showing 50% and 70% viability at a concentration of 50 mu M, respectively. Ultimately, the demonstrated efficacy of palmitic acid-incorporated LNP formulations suggests a significant potential for these optimized carriers to improve the therapeutic efficacy of antitumor drugs in clinical applications.