Yazar "Arslanoglu, Hasan" seçeneğine göre listele

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    Antibacterial efficacy of pyrolysis-derived plant fractions against resistant pathogens: a comparative evaluation using nutrient and Müller-Hinton agar
    (Wiley, 2026) Demirel, Maruf Hursit; Gul, Abdulkadir; Aydogmus, Ercan; Ozgen, Inanc; Arslanoglu, Hasan
    BACKGROUND This study investigates the antibacterial potential of pyrolysis-derived extracts from rosehip fruit (RF), orange peel (OP), corn silk (CS), spurge root (ER) and mullein leaf (ML) against antibiotic-resistant pathogens using two different culture media. Bioactive compounds were obtained via a PID-controlled pyrolysis system, and antibacterial activity was evaluated to clarify both extract efficacy and medium-dependent effects on bacterial growth and diffusion.RESULTS Antibacterial activities were assessed using the agar well diffusion method, with ampicillin as a positive control, against Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus and Enterococcus faecalis. A key novelty of this work is the comparative evaluation of extract performance on nutrient agar (NA) and M & uuml;ller-Hinton agar (MHA). Among all samples, the ML extract exhibited the strongest antibacterial activity across all tested strains, producing inhibition zones of 18.85 mm against E. coli and 17.15 mm against E. faecalis on NA, compared with 13.05 mm and 13.60 mm on MHA, respectively. CS and ER extracts showed moderate antibacterial effects, with consistently higher inhibition zones on NA than on MHA. Ampicillin generated substantially larger inhibition zones on NA (33.35 mm for E. coli and 34.45 mm for P. aeruginosa) compared with MHA (13.80 and 27.70 mm, respectively), confirming the strong influence of culture medium composition on measurable antibacterial activity.CONCLUSION These results indicate that both plant extracts and ampicillin exhibit higher antibacterial activity on NA than on MHA. The pronounced efficacy of the ML extract highlights pyrolysis-derived plant fractions as promising natural antimicrobials and emphasizes the critical importance of culture medium selection. (c) 2026 Society of Chemical Industry.
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    Co-pyrolysis of waste tires and Platanus orientalis leaves: thermogravimetric characterization, kinetic modeling, and resource valorization potential
    (Wiley, 2026) Turk, Feride N.; Ugur, Mucahit; Arslanoglu, Hasan
    This study investigates the co-pyrolytic behavior of waste tires (WT) and Platanus orientalis leaves (SL) as hybrid feedstocks for thermochemical valorization. Pyrolysis experiments were conducted under nitrogen atmosphere using thermogravimetric analysis across a temperature range of ambient to 745 degrees C, with heating rates of 5, 10, 15, 20, and 25 K min-1. Five blend ratios (100% WT, 75/25, 50/50, 25/75, 100% SL by mass) were assessed to evaluate thermal degradation profiles and kinetic characteristics. A Box-Behnken experimental design within the response surface methodology (RSM) framework was employed to optimize the effects of temperature, heating rate, and blend ratio on pyrolysis performance. The statistical model showed a high predictive capability with R 2 >0.995. Kinetic parameters were calculated using Coats-Redfern, Flynn-Wall-Ozawa, and Kissinger methods, with activation energies for the major decomposition stage (Stage 3C) ranging from 114.3 to 125.2 kJ mol-1. A significant negative correlation was found between activation energy and SL content (r = -0.82), while WT content showed a positive correlation (r = 0.87), indicating that biomass reduces the energy barrier for thermal degradation. Fourier transform infrared analysis confirmed the breakdown of functional groups such as -OH, C-O, and aromatic C-C after pyrolysis, indicating extensive structural transformation. Scanning electron microscopy imaging revealed morphological changes from fibrous structures in SL to carbonized, fractured surfaces in the char. Energy-dispersive X-ray spectroscopy analysis indicated a high carbon content (91.2%), supporting the suitability of the product for energy applications. Overall, the study demonstrates the synergistic potential of WT and SL in co-pyrolysis, improving thermal behavior, reducing activation energy, and yielding carbon-rich products. These findings support the development of integrated waste-to-energy strategies aligned with circular economy principles.
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    Development of waste based biochar/lauryl alcohol as new shape-stable composite phase change material and its solar thermo-regulative performance in a building material
    (Elsevier, 2026) Timurkaynak, Erdogan; Sari, Ahmet; Nas, Memduh; Gencel, Osman; Ustaoglu, Abid; Arslanoglu, Hasan; Tyagi, V. V.
    The integration of phase change materials (PCMs) with biomass-derived biochar offers a sustainable and energy-efficient approach for developing composites with enhanced thermal functionality. In this study, a leakage-resistant composite was prepared by impregnating olive waste pulp (OWP)-based biochar (BC) with 45 wt% lauryl alcohol (LOH). The OWP-BC/LOH composite was incorporated into concrete by partially replacing sand at 10 %, 15 %, and 20 % to produce advanced materials for building energy conservation. Extensive tests covering morphological, physical, mechanical, thermal stability, thermal energy storage (TES), and solar thermoregulation were conducted. The compressive strengths of TES-integrated concretes were 45.31 MPa, 37.94 MPa, and 28.48 MPa for 10 %, 15 %, and 20 % replacements, respectively. While lower than the control, these values remain acceptable considering the improved thermal regulation. At 20 % replacement, apparent porosity, water absorption, and dry unit weight were measured as 23.3 %, 14.91 %, and 1869.11 kg/m3, respectively. FTIR analysis confirmed strong interactions between OWP-BC and LOH. DSC results revealed a melting point of 20.18 degrees C with a latent heat capacity of 111.9 J/g, maintaining stability after 600 heating-cooling cycles. TGA analysis indicated that the working temperature range was well below the onset of thermal degradation, ensuring long-term durability. Thermal conductivity decreased by 13 %, reaching 0.93 W/m & sdot;K. Furthermore, solar thermoregulation tests showed that 20 % OWP-BC/LOH concrete provided effective daytime cooling and nighttime heating. The use of OWP-BC/LOH composites could potentially reduce annual building energy consumption up to 27 kWh m-2 y-1 and lower CO2 emissions by
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    Valorization of Industrial Waste in Polymer Composites: Enhancing Mechanical and Thermal Properties for Insulation Applications Using Machine Learning Analysis
    (Wiley, 2026) Dag, Mustafa; Aydogmus, Ercan; Yalcin, Zehra Gulten; Arslanoglu, Hasan
    This study investigates the incorporation of industrial waste materials into polyurethane-based composites and evaluates their mechanical, thermal, and microstructural properties. The polyurethane matrix was synthesized from methylene diphenyl diisocyanate (MDI) and polyether polyol, into which various waste fillers, including ulexite, colemanite, tincal, and K & imath;rka clay, were introduced in different proportions. Mechanical testing revealed that specific wastes significantly enhance compressive strength, with ulexite- and clay-reinforced composites achieving improvements of 42.19% and 43.54%, respectively, compared to the pure polymer. The ulexite-clay composite exhibited the highest mechanical strength (38.67 kN), whereas tincal-containing samples demonstrated the weakest performance. Shore A hardness values generally decreased with waste incorporation, indicating that filler addition reduces polymer rigidity. Thermal conductivity results showed property variations within +/- 25%, where ulexite increased conductivity while K & imath;rka clay reduced it, thereby improving thermal insulation potential. Microstructural analysis using scanning electron microscopy (SEM) confirmed heterogeneous morphologies with dense filler distribution that intensified with increasing filler ratios. Fourier transform infrared spectroscopy (FTIR) indicated both physical and chemical interactions between the polymer matrix and boron-containing fillers, highlighting the complex interfacial bonding mechanisms. To complement the experimental analyses, machine learning (ML) models were applied to predict composite performance based on waste type and ratio. Among the tested algorithms, Random Forest (RF) demonstrated the highest predictive accuracy (R-2 > 0.90), confirming its suitability for modeling composite properties. The integration of ML provided quantitative insights into the role of individual and combined waste fillers, aligning closely with experimental observations. This research demonstrates that the controlled selection and optimization of waste fillers can enhance the performance of polyurethane composites, promote recycling of industrial byproducts, and support the development of sustainable materials for applications such as thermal insulation and structural components.