Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Article 3D-Printed Soy Protein and Microalga Films: A Sustainable Approach with Antioxidant Functionality(Elsevier, 2026) Barekat, Sorour; Dogan, Buse; Uzuner, Sibel; Ubeyitogullari, AliThis study investigated the optimization and fabrication of soy protein isolate (SPI)-green microalga (MA) 3D-printed films. For optimizing 3D printing, the effects of MA concentration, nozzle size (0.52-0.81 mm), and speed (10-20 mm/s) were examined. The printed films were then dried, and color, mechanical properties, water vapor permeability, structure, and antioxidant activity were analyzed. All the formulations showed shear-thinning behavior and rapid recovery. The concentration of 3 % MA, nozzle size of 0.72 mm, and printing speed of 20 mm/s were selected as the optimized conditions for the best 3D printability. Compared with the control, their elongation at break decreased by more than 16 %, while puncture strength increased by over 12 %, and tensile strength rose by more than 40 %. Water vapor permeability decreased by more than 40 % with the addition of MA. The microstructure images and secondary structure confirmed the formation of a less porous and stronger gel network with an increase in MA concentration from 0 to 5 % (w/w). The antioxidant properties of SPI films also increased two-fold with the addition of MA. These findings highlight that the 3D-printed edible films with antioxidant properties could be used as an eco-friendly and nutritious alternative to petroleum-based films in food packaging.Article Citation - WoS: 1Citation - Scopus: 1Incorporating Legume and Nut Flours Into Pasta, Bakery Products, and Snacks: Opportunities and Challenges(Elsevier, 2025) Imeneo, V.; Tokatli, F.; Ozen, B.; Cappa, C.; Aguilo-Aguayo, I.; Alamprese, CristinaLegumes and nuts have recently emerged in pasta, bakery, and snack manufacturing, offering a myriad of health benefits and culinary versatility. Incorporating legume and nut flours in these products can lead to enhanced nutritional profiles, while diversifying the future food offering, and mitigating environmental footprints. However, their integration needs careful consideration of various factors, including sensory properties, structural features, and processing techniques. This review endeavors to provide a comprehensive overview of the current state-of-the-art research about the use of legume and nut flours in pasta, bakery, and snack production, elucidating the opportunities, challenges, and future directions.Article Plasma Proteomic Markers of Interleukin-1β Pathway Associated With Incident Age-Related Macular Degeneration in Persons With Aids(Elsevier, 2025) Hunt, Peter W.; Olshen, Adam B.; Murad, Natalia; Ambayec, Gabrielle C.; Sezgin, Efe; Schneider, Michael F.; Jabs, Douglas A.Objective To evaluate the associations of plasma inflammatory proteins with age-related macular degeneration (AMD) in persons with the AIDS, using a discovery-based proteomics approach. Design A nested case-control study (analysis 1) and nested cohort study (analysis 2). Participants Persons with AIDS enrolled in the Longitudinal Study of the Ocular Complications with AIDS (LSOCA). Methods Cryopreserved plasma specimens obtained at baseline were assayed for inflammatory proteins using the Olink Inflammation Explore Panel 1. In analysis 1, baseline proteomic profiles for 26 persons with AIDS and incident intermediate-stage AMD 5 to 10 years after baseline and 49 matched controls (matched for age, biologic sex, race/ethnicity, and follow-up) without AMD were compared. In analysis 2, 475 persons from LSOCA with baseline plasma inflammatory proteomic profile measurements were followed for incident cataract and mortality. Main Outcome Measures Incident intermediate-stage AMD; incident cataract; and mortality. Results Of 365 measurable plasma inflammatory proteins, 118 (32%) were associated with incident intermediate-stage AMD at the false discovery rate-adjusted Q < 0.05 level after adjustment for smoking, CD4+ T count, and plasma human immunodeficiency virus RNA level. Gene ontology pathway enrichment analysis identified the interleukin (IL)-1 beta pathway and wound healing pathways, including tissue inhibitor of metalloproteinase 3, as significantly associated with incident AMD. These associations were qualitatively different from those associated with incident cataracts, where elevated levels of inflammatory proteins were associated with a decreased risk of cataracts. A much broader number of inflammatory pathways, including those related to the adaptive immune system, were associated with mortality. Conclusions Upregulation of the IL-1 beta pathway appears to be associated with an increased risk of incident AMD in persons with AIDS. Given the availability of inhibitors of this pathway, inhibition of the IL-1 beta pathway may provide a therapeutic avenue for treatment of AMD. Financial Disclosure(s) Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article. Ophthalmology Science 2025;5:100794 (c) 2025 by the American Academy of Ophthalmology. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Article Citation - WoS: 1Legume and Nut Flours From the Mediterranean Area: Proximate Compositions, Techno-Functionalities, and Spectroscopy Patterns as a Function of Species, Origin, and Treatment(Elsevier, 2025) Cappa, Carola; Ozen, Banu; Tokatli, Figen; Imeneo, Valeria; Aguilo-Aguayo, Ingrid; Sahan, Yasemin; Alamprese, CristinaThis study systematically evaluates proximate composition, color, techno-functionalities, and spectroscopy patterns of 19 legume and 16 nut commercial flours of the Mediterranean area. Effect of species, origin, and treatment were analyzed using a Generalized Linear Model. Except for legume proteins, species and origin significantly (p <= 0.001) affected flour composition, while heat treatment only had a significant effect (p <= 0.05) on nuts. A large variability was observed in fats (0.6-69 g/100g) and proteins (3.7-36 g/100g), and the FT-IR spectra reflected the 35-flours composition. Principal component model clearly distinguished flours based on their carbohydrate, fat, and protein contents. For legumes, color indices, bulk density, and emulsifying properties were significantly affected by species, origin, and treatment, while foaming properties were influenced only by species. For nuts, oil absorption capacity, emulsion properties, and foaming properties were significantly affected by species, origin, and treatment. The origin had a significant effect on water retention capacity (40-433 %) of nuts. The study findings contribute to a better knowledge of Mediterranean legume and nut flours, clarifying their distinct properties for a higher awareness in their use for the design of food products with tailored features.Article Citation - WoS: 2Citation - Scopus: 3Evaluation of Hydro-Geochemical Processes Controlling Groundwater Quality in Balkh Center (Mazar-e-Sharif) Northern Afghanistan(Elsevier, 2025) Farahmand, Asadullah; Zaryab, Abdulhalim; Ameri, Nasrullah; Ali, Shakir; Eqrar, Mohammad NaimBackground: Groundwater in Afghanistan stands as the predominant water source employed for potable consumption, household utilization, irrigation, and industrial applications. Major cities of Afghanistan are largely dependent on groundwater resources. However, the groundwater quality of major cities in Afghanistan, including Mazar-e-Sharif city was not investigated in detail. Objective: This study aims to conduct a comprehensive analysis of the hydrochemical characteristics of the Mazare-Sharif groundwater, identify the factors influencing groundwater quality, and evaluate the groundwater contamination sources. Methods: A total of 18 groundwater samples were collected during the dry season (June 2020) and analyzed for various physico-chemical parameters. Methods such as multivariate statistical analyses, geochemical modeling, water quality index (WQI), and spatial distribution of groundwater quality were employed to evaluate the hydro-geochemistry of the study area. Results: The results reveal that 1) The prevailing groundwater within the study area is predominantly characterized by Na-(Ca)-HCO3 and Ca-(Mg)-SO4 water types. 2) Physicochemical variables such as NO3-, F-, TDS, and SO42-exceeded the World Health Organization (WHO) safe limits in many wells. 3) Hydro-geochemical processes such as silicate weathering, cation exchange, and gypsum dissolution controls the groundwater chemistry. 4) Cl/ Br ratios reveal, that high salinity may originate from evaporitic lacustrine and evaporite deposits and found to be localized in nature. 5) The Water Quality Index (WQI) classification suggests that approximately 60 % of the groundwater samples fall into poor to very poor water quality categories, highlighting substantial public health concerns. Major contaminants like nitrate and fluoride were found to be higher than the safe limit in nearly half of the samples. Conclusion: The findings of this study hold value for decision-makers in formulating a proficient strategy for the management of groundwater resources in Mazar-e-Sharif City in achieving the UN sustainable goal (SDG) of providing sustainable water for all. Furthermore, new advanced techniques like environmental isotopes should be analyzed to evaluate groundwater hydro-chemical evolution in the future to enhance our understanding.Article Understanding the Synthesis Mechanism of Arginine Functionalized Silver/Silver Chloride Nanoparticles Using Sugar Ligands(Elsevier, 2025) Bolat, Suheda; Degirmenci, Suna; Gumus, Abdurrahman; Sancak, Zafer; Yazgan, DrisIn this study, we performed a mechanistic study to understand how the sugar ligand chemistry affected the morphology, size and surface chemistry of Ag/AgCl_NPs synthesized in the presence of L-Arginine hydrochloride and L-Arginine/KCl mixture. The sugar ligands Lactose p-methoxyaniline (LMA) and Galactose 5-aminosalicylic acid (G5AS) resulted in formation of sheet-like Ag/AgCl_NPs while Lactose sulfanilic acid (LSA) and Lactose psulfonyldianiline (LPSA) caused the formation of anisotropic and film-like Ag/AgCl_NPs. The UV-Vis based mechanistic studies showed that the presence of Arginine posed a strong effect on how G5AS and LMA ligands interact with silver ions while the effect was more complicated for the LSA and LPSA ligands due to the fact that they form complexation with Ag+ ions. The mechanism was further investigated using infrared (IR) studies that showed the increases in Argine and chloride ion concentrations resulted in differentiation of the surface chemistry of the Ag/AgCl_NPs, and appearance of Arginine related IR bands became clearer in the case of cointroduction of Arginine and the sugar ligands. The characterized nanoparticles were then used as antibacterial agent for multidrug resistant Escherichia coli species for which less than 10 mu M minimum inhibitory concentrations were obtained. The promising antibacterial activity, which could be assigned to the presence of Arginine, was independent from the sugar ligand chemistry and nanoparticles' morphology and size. Particularly, large Ag/AgCl_NP film forming capacity can call further research to be exploited as coating materials for antibacterial application.Article Citation - WoS: 5Citation - Scopus: 5Nanoarchitectonics Approach To Graphite/Starch-supported Bioelectrode for Enhanced Supercapacitor Performance(Elsevier, 2025) Goren, Aysegul Yagmur; Dincer, IbrahimThere has been an increasing interest in finding suitable materials for supercapacitor applications in response to the growing need for energy, to use alternative energy sources to fossil fuels in addition to energy storage. In this regard, bio-based carbon-loaded materials can be a promising option for high-performance supercapacitors because of their abundance, diversity, and reproducibility with waste management strategies. In this study, a new graphite-loaded bioelectrode is synthesized for supercapacitor application. The electrochemical performance of the synthesized electrode is tested at room temperature using the cyclic voltammetry method, and the capacity and energy density of the electrodes are evaluated. The electrochemical performance of 1 g of graphiteloaded bioelectrode was 3.5 mA/cm2, while the specific capacitance value was 355.6 F/g at a current density of 0.5 A/g. Furthermore, the bioelectrode provided significant cyclic stability with 93.5% in specific capacitance value after 5000 charge/discharge cycles at the current density of 0.5 A/g. Consequently, the synthesized bioelectrode can be a promising option for energy storage as a sustainable electrode due to its superior conductivity, stability, and low cost.Article Citation - WoS: 2Citation - Scopus: 2Neolithic Introgression of Il23r-Related Protection Against Chronic Inflammatory Bowel Diseases in Modern Europeans(Elsevier, 2025) Krause-Kyora, Ben; Da Silva, Nicolas Antonio; Kaplan, Elif; Kolbe, Daniel; Wohlers, Inken; Busch, Hauke; Schreiber, StefanBackground The hypomorphic variant rs11209026-A in the IL23R gene provides significant protection against immune-related diseases in Europeans, notably inflammatory bowel diseases (IBD). Today, the A-allele occurs with an average frequency of 5% in Europe. Methods This study comprised 251 ancient genomes from Europe spanning over 14,000 years. In these samples, the investigation focused on admixture-informed analyses and selection scans of rs11209026-A and its haplotypes. Findings rs11209026-A was found at high frequencies in Anatolian Farmers (AF, 18%). AF later introduced the allele into the ancient European gene-pool. Subsequent admixture caused its frequency to decrease and formed the current southwest-to-northeast allele frequency cline in Europe. The geographic distribution of rs11209026-A may influence the gradient in IBD incidence rates that are highest in northern and eastern Europe. Interpretation Given the dramatic changes from hunting and gathering to agriculture during the Neolithic, AF might have been exposed to selective pressures from a pro-inflammatory lifestyle and diet. Therefore, the protective A-allele may have increased survival by reducing intestinal inflammation and microbiome dysbiosis. The adaptively evolved function of the variant likely contributes to the high efficacy and low side-effects of modern IL-23 neutralisation therapies for chronic inflammatory diseases. Copyright (c) 2025 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).Article Citation - WoS: 6Citation - Scopus: 6A New Electro-Biomembrane Integrated Renewable-Based System To Produce Power, Fresh Water and Hydrogen for Sustainable Communities(Elsevier, 2025) Goren, A. Yagmur; Dincer, Ibrahim; Khalvati, AliAs the consequences of global warming become more severe, it is more crucial than ever to capitalize on all locally accessible potential renewable energy sources and produce sufficient useable energy outputs to meet community demands while causing the least damage to the ecosystem. Therefore, this paper focuses on a unique parabolic trough collector solar system-powered electro-biomembrane unit that combines a heat and power system with fresh water, electricity and hydrogen production. The proposed integrated system contains the following subsystems: a combining parabolic trough collector solar system, an organic Rankine cycle, a steam Rankine cycle, a multi-stage flash desalination system, and an electro-biomembrane H2 and freshwater production system. A thorough analysis and parametric research are performed on the multigeneration system to determine how important characteristics affect system performance and evaluate the energy and exergy efficiencies, and exergy destruction levels for particular system elements. The study results show that solar irradiation is the most critical parameter for improving system performance. The highest freshwater production of 1,303,333.3 L/day is observed at the solar irradiation of 935,768 kWh/day. Furthermore, the combined output of three electricity production technologies exceeds 2,000,000 kWh/day, highlighting the ability of the system to harness solar thermal energy effectively. The study findings indicate that using solar power and biomass as renewable energy sources, the proposed integrated system provided 328.56 kg of biohydrogen per day. Overall, the energy and exergy efficiencies of the integrated system are obtained as 34.3 and 29.5 %, respectively.Article Citation - WoS: 3Citation - Scopus: 4Comparison of Conventional and Machine Learning Models for Kinetic Modelling of Biomethane Production From Pretreated Tomato Plant Residues(Elsevier, 2025) Fidan, Berrak; Bodur, Fatma-Gamze; Oztep, Gulsh; Gungoren-Madenoglu, Tuelay; Baba, Alper; Kabay, NalanTomato plant residues (Solanum lycopersicum L.) lack sustainable applications as abundant lignocellulosic biomass after harvest. These residues can be utilized as substrates in anaerobic digestion for biomethane production, generating energy and reducing waste. The purpose of this study was to investigate the sustainable utilization of tomato plant residues for biomethane production at varying conditions and to model biological kinetics. The study aimed to evaluate the effects of varying substrate/inoculum ratios, sulfuric acid pretreatment concentrations, and yeast (Saccharomyces cerevisiae) addition on biogas and biomethane yields under mesophilic conditions (37 degrees C). Maximum biogas and biomethane yields in the studied range were obtained when the substrate/inoculum ratio was 3 (g substrate/g inoculum), the sulfuric acid concentration used for residue pretreatment was 2 %v/v, and the substrate/yeast ratio was 10 (g substrate/g yeast). The yeast ratio of 10 increased the cumulative biogas and biomethane production by 96.5 and 128.9%, respectively. Conventional models (Modified Gompertz, Cone, First-order, Logistic) and Machine Learning models (Support Vector Machine and Neural Network) were compared for biological kinetics. Machine Learning models were also observed to give good fitting results similar to conventional models. Results suggest that Machine Learning models (RMSE: 2.5833-12.0500) are reliable methods like conventional kinetic models (RMSE: 2.1796-13.4880) for forecasting biomethane production in anaerobic digestion processes and Machine Learning models can be applied without needing prior understanding of biomethane production kinetics.