Sürdürülebilir Kalkınma Amaçları

Yazarlar

  • MakaleYalnız künye2023Scopus SJRQ2
    Investigation of Antimicrobial, Anti-Quorum Sensing, and Cytotoxic Activities of Flavonoids Isolated from Pulicaria armena Boiss. & Kotschy ex Boiss. (Asteraceae)

    Başpınar, Yasemin; Gürbüz, Perihan; Dilem Doğan, Şengül; Gözde Gündüz, Miyase; Aleksic, Ivana; Vojnovic, Sandra; Nikodinovic-Runic, Jasmina; Yavuz Paksoy, Mehmet

    This is the first report on the separation and biological assessment of all metabolites derived from Pulicaria armena (Asteraceae) which is an endemic species narrowly distributed in the eastern part of Turkey. The phytochemical analysis of P. armena resulted in the identification of one simple phenolic glucoside together with eight flavon and flavonol derivatives whose chemical structures were elucidated by NMR experiments and by the comparison of the spectral data with the relevant literature. The screening of all molecules for their antimicrobial, anti-quorum sensing, and cytotoxic activities revealed the biological potential of some of the isolated compounds. Additionally, quorum sensing inhibitory activity of quercetagetin 5,7,3’ trimethyl ether was supported by molecular docking studies in the active site of LasR which is the primary regulator of this cell-to-cell communication system in bacteria. Lastly, the critical molecular properties indicating drug-likeness of the compounds isolated from P. armena were predicted. As microbial infections can be a serious problem for cancer patients with compromised immune systems, this comprehensive phytochemical research on P. armena with its anti-quorum sensing and cytotoxic compounds can provide a new approach to the treatment.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus1OpenAlex1
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  • MakaleYalnız künye2023Scopus SJRQ1
    In-vitro corrosion and surface properties of PVD-coated β-type TNTZ alloys for potential usage as biomaterials: Investigating the hardness, adhesion, and antibacterial properties of TiN, ZrN, and CrN film

    Ali, L.A.; Dikici, B.; Aslan, N.; Yilmazer, Y.; Sen, A.; Yilmazer, H.; Niinomi, M.

    In this study, the corrosion and surface properties of non-toxic and non-allergenic β-type Ti–29Nb–13Ta–4.6Zr alloys (TNTZ) coated with TiN, ZrN, and CrN layers using the PVD technique were investigated under in-vitro conditions. The coatings' hardness, adhesion resistance, and antibacterial properties were also studied, with a focus on their potential usage as biomaterials. The corrosion tests were conducted using potentiodynamic polarization, the hardness tests were conducted using the Knoop method, and the adhesion tests were conducted using pull-off tests. The wetting properties of the coatings were examined through contact angle and 3D morphological analysis. The coatings were characterized using SEM-EDS and XRD. The results showed that the adhesion resistance of all coatings was significantly higher than the expected adhesion strength for biomaterial coatings, while their corrosion resistance was higher compared to the uncoated alloy. Besides, the study demonstrates the potential of TiN, ZrN, and CrN coatings on β-type TNTZ for use as a biomaterial with desirable surface and antibacterial properties.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus29OpenAlex27
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  • MakaleYalnız künye2023Scopus SJRQ2
    Ternary hybrid nanofluids flow on a spinning disk with nonlinear thermal radiation

    Gohar; Saeed, Anwar; Alyami, Maryam Ahmed; Akkurt, Nevzat; Khan, Tahir Saeed; Gul, Taza

    Researchers are interested in the thermophysical properties of nanofluids because of the successful use of nanofluids in state-of-the-art technology and engineering. Hence, hybrid and tri-hybrid nanofluid is used to ensure the required thermal features. An incompressible ternary hybrid nanofluid (NF) flow comprised of (Al2O3) aluminum oxide, (CuO) copper oxide, and (TiO2) titanium dioxide nanoparticles across an impermeable infinite spinning disc are addressed in the present study. The magnetic field and second-degree thermal radiation were used in the proposed model. The main aim of this assessment is to raise the consciousness of energy exhaustion in the industrial and technical sectors. The numerous applicability of ternary nanoparticles (NPs) make the proposed model more plausible, such as, Al2O3 has society-enhancing and life-extending applications, CuO has unique electrical, optical, and magnetic properties, while TiO2 is excessively used in plastic and paper production. For this purpose, the sensations have been expressed in the form of differential equations and the consequences are obtained using the homotopy analysis method (HAM). The graphics and statistical outcomes of the analytical simulation of the proposed model are reported through Figures and Tables.

    AtıfScopus14WoS14OpenAlex15
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  • MakaleYalnız künye2023Scopus SJRQ2
    Antibacterial activity of novel synthesized chitosan-graft-poly(N-tertiary butylacrylamide)/neodymium composites for biomedical application

    Yazdıç, Ferit Can; Karaman, Altuğ; Torğut, Gülben; Ayhan, Nagihan Karaaslan

    In this present study, composites of chitosan-graft-poly(N-tertiary butylacrylamide) (CH-graft-poly(N‑tert‑BAAm)) copolymer, with Neodymium (Nd), an important rare earth element, were prepared by precipitation technique. Nd was successfully incorporated into the polymer of different weight percentages (0.5%, 1%, and 2%) without any degradation. The effect of neodymium additives on the structural, morphological, and antibacterial activities against gram-positive bacteria and gram-negative bacteria of the polymer was analyzed using various instrument techniques. X-ray diffraction (XRD) results together with Fourier Transform Infrared (FT-IR), scanning electron microscopy (SEM), and energy dispersive spectroscopy (EDS) studies confirmed the morphology of Nd-doped CH-graft-poly(N‑tert‑BAAm) composites without any other impurities. The antibacterial effect of Nd was studied by adding it to the copolymer in a weight ratio of 0.5%–2%. The antibacterial effect of neodymium concentration on four different strains of bacteria was investigated: Escherichia coli (ATCC 25922) (E. coli), Pseudomonas aeruginosa (DSM 50071) (P. aeruginosa), Bacillus subtilis (DSM 1971) (B. subtilis), and Staphylococcus aureus subsp. aureus (ATCC 25923) (S. aureus). The antibacterial activities of the obtained composites were determined using the Agar Well Diffusion Assay Method. Experimental results show that Nd binds well to CH-graft-poly(N‑tert‑BAAm). Activity against E. coli, P. aeruginosa, B. subtilis, and S. aureus subsp. aureus creates a potential for pharmaceutical and biomedical applications.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus8WoS7OpenAlex8
    ScopusWeb of SciencePubMedİncele
  • MakaleYayıncıda açık erişim2023Scopus SJRQ3
    Optimization Approach in Window Function Design for Real-Time Filter Applications

    Serbet, Fatmanur; Kaya, Turgay

    Eliminating the Gibbs oscillations that occur during the Finite Impulse Response (FIR) digital filter design with the Fourier Series method will ensure correct filtering. For this reason, the development of the window improves the performance of the filter and, therefore, the system. In this study, the cosh window function is designed using Particle Swarm Optimization, which is a preferred optimization method in many areas. Thus, alternatives to the standard results obtained from the existing traditional calculations will be produced, and different windows that perform the same function will be obtained. In addition, exponential and cosh window functions were designed in LabVIEW environment, which is a graphical programming language-based program, and the designed windows were analyzed at different parameter values. LabVIEW provides a fast and easy programming environment, and it provides the opportunity to realize real-Time applications with its external hardware. Utilizing this feature, the amplitude spectrum of cosh window designed in LabVIEW is displayed in real time for different window parameter values. As a result, FIR digital filters were designed using cosh window based on optimization and the cosh window designed in LabVIEW, and the distorted EEG signal was filtered using these filters and displayed in real time.

    AtıfScopus8WoS5OpenAlex5
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  • MakaleYalnız künye2023Scopus SJRQ2
    New Deep Learning-Based Passenger Flow Prediction Model

    Utku, Anıl; Kaya, Sema Kayapinar

    The ability to predict passenger flow in transport networks is an important aspect of public transport management. It helps improve transport services, aids those responsible for management to obtain early warning signals of emergencies and unusual circumstances and, in general, makes cities smarter and safer. This paper develops a long short-term memory-based (LTSM-based) deep learning model to predict short-term transit passenger volume on transport routes in Istanbul. This prediction model has been created using a dataset that included the number of people who used different transit routes in Istanbul at one-hour intervals between January and December 2020. The proposed multilayer LSTM-based deep learning model has been compared with popular models such as random forest (RF), support vector machines, autoregressive integrated moving average, multilayer perceptron, and convolutional neural network. The experimental findings showed that the proposed multilayer LSTM-based deep learning model outperformed the other models with regard to prediction for each transfer route. Furthermore, RF, one of the machine learning models used, produced remarkably successful results.

    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
    AtıfScopus19WoS12OpenAlex16
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  • MakaleYalnız künye2023Scopus SJRQ2
    Numerical investigation of the effect of using louver baffles on thermal performance in solar air collectors

    Tuğan, Volkan; Işık, Erdem

    Conventional flat plate solar air collectors have advantages such as low cost and simple design. However, their thermal efficiency is lower than that of other designs. The thermal efficiency of these collectors can be increased by detailed examination of parameters such as the shape, size, arrangement and material of the air duct. In this study, it is aimed to improve the thermal efficiency of solar air collectors. The effect of louver baffles, which were not previously used in solar air collectors, on thermal efficiency was investigated numerically via computational fluid dynamics. Three different solar air collectors with flat plates, segmented baffles, and louver baffles were compared in terms of thermal efficiency. In addition, pressure drops in solar air collectors were investigated. The mass flow rate of the air in all collectors is assumed to be 0.04 kg/s. Analyzes were carried out between 09:00 and 16:00. The thermal efficiency values obtained during the day for solar air collectors with flat plate, segmented baffles and louver baffles are 27.66%–56.35%, 29.57%–58.82% and 30.09%–59.47%, respectively. The daily thermal efficiency values obtained for solar air collectors with flat plate, segmented baffles and louver baffles are 46.98%, 49.18% and 49.87%, respectively. The pressure drop for solar air collectors with flat plate, segmented baffles and louver baffles were found to be 4.62, 18.82 and 5.96 Pa, respectively. Based on the data obtained from this study, louver baffles are recommended for use in solar heating applications due to their high thermal efficiency and low pressure drop.

    • SDG 7 · Erişilebilir ve Temiz Enerji
    • SDG 13 · İklim Eylemi
    AtıfScopus5WoS5OpenAlex5
    ScopusWeb of Scienceİncele
  • MakaleYayıncıda açık erişim2023Scopus SJRQ1
    Soil-dependent β and γ shape parameters of the Haverkamp infiltration model for 3D infiltration flow

    Yilmaz, D.; Lassabatere, L.; Moret-Fernandez, D.; Rahmati, M.; Angulo-Jaramillo, R.; Latorre, B.

    Estimating of soil sorptivity ((Figure presented.)) and saturated hydraulic conductivity ((Figure presented.)) parameters by field infiltration tests are widespread due to the ease of the experimental protocol and data treatment. The analytical equation proposed by Haverkamp et al. (1994) allows the modelling of the cumulative infiltration process, from which the hydraulic parameters can be estimated. This model depends on both initial and final values of the soil hydraulic conductivity, initial soil sorptivity, the volumetric water content increase ((Figure presented.)) and two infiltration constants, the so-called (Figure presented.) and (Figure presented.) parameters. However, to reduce the number of unknown variables when inverting experimental data, constant parameters such as (Figure presented.) and (Figure presented.) are usually prefixed to 0.6 and 0.75, respectively. In this study, the values of these constants are investigated using numerical infiltration curves for different soil types and initial soil water contents for the van Genuchten-Mualem (vGM) soil hydraulic model. Our new approach considers the long-time expansions of the Haverkamp model, the exact soil properties such as (Figure presented.), (Figure presented.) and initial soil moisture to derive the value of the (Figure presented.) and (Figure presented.) parameters for each specific case. We then generated numerically cumulative infiltration curves using Hydrus-3D software and fitted the long-time expansions to derive the value of the (Figure presented.) and (Figure presented.) parameters. The results show that these parameters are influenced by the initial soil water content and the soil type. However, for initially dry soil conditions, some prefixed values can be proposed instead of the currently used values. If an accurate estimate of (Figure presented.) and (Figure presented.) is the case, then for coarse-textured soils such as sand and loamy sand, we propose the use of 0.9 for both constants. For the remaining soils, the value of 0.75 can be retained for (Figure presented.). For (Figure presented.) constant, 0.75 and 1.5 values can be considered for, intermediate permeable soils (sandy loam and loam) and low permeable soils (silty loam and silt), respectively. We clarify that the results are based on using the vGM model to describe the hydraulic functions of the soil and that the results may differ, and the assumptions may change for other models.

    AtıfScopus12OpenAlex10
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  • MakaleYalnız künye2023Scopus SJRQ1
    An efficient hybrid weather prediction model based on deep learning

    Utku, A.; Can, U.

    Weather events directly affect human activities. In particular, extreme weather events with global warming, forest fires, and high air temperatures that cause drought make human life difficult. Effective and accurate weather prediction models are needed to take precautions against such climatic events. Therefore, it is essential to develop models that make precise weather predictions. Technological developments contributed significantly to developing successful deep learning-based weather prediction models. With a high success rate, this study proposed a hybrid weather prediction model based on Convolutional Neural Networks and Recurrent Neural Networks models. The proposed hybrid model was applied to the Jena dataset, which contains 14-parameter, large-scale meteorological data that were never utilized for weather prediction. The experimental results were compared with popular deep learning, machine learning, and statistical methods such as Auto-Regressive Integrated Moving Average, Convolution Neural Networks, Long-Short Term Memory, Multilayer Perceptron, Random Forest, Recurrent Neural Networks, and Support Vector Machine. As a result of these comparisons, the proposed hybrid model obtained the best prediction result for all metrics. For example, according to the weather prediction results for Jena, Germany, the proposed hybrid model got the results of Mean Squared Error: 0.035, Root-Mean-Squared Error: 0.189, Mean Absolute Error: 0.126, and R-Squared: 0.987.

    • SDG 13 · İklim Eylemi
    AtıfScopus15WoS11OpenAlex11
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  • Derleme MakaleYalnız künye2023Scopus SJRQ1
    A review of advances in mechanical behaviors of the underground energy transmission pipeline network under loads

    Zheng, Qiang; Xu, Qian; Shu, Zekai; Yang, Di; Chen, Weiwang; Akkurt, Nevzat; Zhang, Hui; Lin, Lin; Zhang, Xinxin; Ding, Yulong

    The safety of underground energy transmission pipeline network is threatened by traffic, earthquakes, explosions, and other stresses. To solve the problem of damage to the underground energy transmission pipeline networks by external loads, this study analyzed the mechanical properties of the Pipe-Soil Coupling System (PSCS) under external loads from a mechanical perspective. The pipeline constitutive model, the soil constitutive model, the internal effect of the PSCS, the influence of external stresses on the PSCS, and the dynamic response of the PSCS under various research methodologies were all studied. First, different mechanical features of the pipes and soil were employed to investigate the pipe and soil constitutive models. Second, based on the different force directions within the PSCS, the earth pressure and axial friction of the PSCS were investigated to clarify the interaction between the pipe and soil. For the purpose of to better understand the degradation of the underground pipeline state, the impacts of man-made and natural stresses on the PSCS failure were explored. Finally, the results of the investigation of the dynamic response of the PSCS were examined for their applicability using three research methods: theoretical analysis, numerical simulation, and experimental analysis. It is found that the existing constitutive models of pipeline and soil are lack of basis, which increases the difficulty of the selection of constitutive models in the process of research. In the analysis of load effect, earth pressure plays a dominant role in affecting the local stability of pipeline, but the calculation accuracy of soil pressure needs to be improved. Due to the lack of experimental guidance for complex damage phenomena under external loads, it is impossible to accurately determine the limit state parameters of pipelines under complex damage modes. It is critical to create and refine the theory underpinned by numerous experimental data in order to address the issue of pipeline dynamic response under multi-field coupling, including explosion and earthquake. This work is critical for analyzing existing research findings, identifying future research problems, and enhancing buried pipeline safety management.

    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    AtıfScopus15WoS13OpenAlex14
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  • Kitap BölümüYalnız künye2023
    When ideology is all that matters!: Exploring non-violent islamism through fetullah Gulen and Taqiuddin an-nabhani

    Orofino, Elisa; Çobanoğlu, Yavuz

    • SDG 16 · Barış, Adalet ve Güçlü Kurumlar
    AtıfScopus1
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  • MakaleYalnız künye2023Scopus SJRQ1
    A long short-term memory-based hybrid model optimized using a genetic algorithm for particulate matter 2.5 prediction

    Utku, Anıl; Can, Ümit; Kamal, Mustafa; Das, Narasingha; Cifuentes-Faura, Javier; Barut, Abdulkadir

    Beijing, Shanghai, Singapore, and London are regions with high population density and industrial activities. In this sense, accurate prediction of the rate of particulate matter 2.5 (PM_2.5), one of the most important air pollutants, is very important for creating a healthy ecological system. This study proposes a hybrid method to predict PM_2.5 with high success. This method aims to optimize the Long Short-Term Memory (LSTM) deep learning model, which successfully solves time series problems with a Genetic Algorithm (GA). Here, the hyperparameters of the LSTM model, such as the number of layers, number of neurons, number of epochs, and kernel size, are optimized to achieve the highest prediction rate. Against this backdrop, the present study uses for the first time a hybrid GA-LSTM model to predict PM_2.5 concentrations in Beijing, Shanghai, Singapore, and London. The Beijing dataset consists of 13 attributes, the Shanghai dataset consists of 10 attributes, the London dataset consists of 5 attributes, and the Singapore dataset consists of 7 attributes. In this study, input variables such as PM_2.5, DEWP, TEMP, PRESS, WS, WD, PRE, Snowfall hours, Rain hours, and Season were used. To assess the effectiveness of this hybrid method, the developed GA-LSTM model was compared with k-Nearest Neighbors (kNN), Random Forest (RF), Support Vector Regression (SVR), Extreme Gradient Boosting (XGBoost), Convolutional Neural Networks (CNN), LSTM, and Gated Recurrent Units (GRU). Experimental results showed that GA-LSTM outperformed the compared models. In addition, one of the best results was obtained compared to other models in the literature.

    AtıfScopus17OpenAlex18
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  • MakaleYalnız künye2023Scopus SJRQ4
    The Effect of Self-Esteem on Loneliness in Individuals With Schizophrenia

    Üşenmez, Tülay Yıldırım; Budak, Funda Kavak; Ayhan, Mehmet Osman

    The aim of this study was to evaluate the effect of self-esteem on loneliness in persons with schizophrenia. This study was conducted between August 2020 and August 2021 at a community mental health center affiliated with a research and training hospital in Turkey. This was a cross-sectional study that included 100 individuals with schizophrenia. A Descriptive Characteristics Form (DCF), the Rosenberg Self-Esteem Scale (RSES), and the University of California Los Angeles Loneliness Scale (UCLA-LS) were used for data collection. The individuals’ total mean scores were 2.47 ± 1.24 for RSES and 56.42 ± 10.00 for UCLA-LS. A moderate negative correlation was found between these scores (r =-0.526, P < 0.01). The results revealed that the persons with schizophrenia had a moderate level of self-esteem and a high level of loneliness, possibly indicating that as self-esteem increases, loneliness levels may decrease.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
  • MakaleYalnız künye2023Scopus SJRQ1
    Effect of type and concentration of cryoprotectant on the motility, viability, and fertility of climbing perch Anabas testudineus Bloch, 1792 (Pisces: Anabantidae) sperm

    Maulida, Siti; Eriani, Kartini; Fadli, Nur; Kocabaş, Filiz Kutluyer; Siti-Azizah, Mohd Nor; Wilkes, Martin; Muchlisin, Zainal Abidin

    The climbing perch, Anabas testudineus is a freshwater fish that has economic value in Indonesia. It is cultured in the country, but the breeding technology, specifically sperm storage, is not well developed. Sperm cryopreservation is one of the preservation methods that need to be developed to support fish breeding technology. The type of cryoprotectants and its concentration are species-dependent and determines the success of this approach. Therefore, this study is aimed at determining the optimal type and concentration of cryoprotectant for sperm cryopreservation of A. testudineus. Four separate study series were performed, each of which evaluated one type of cryoprotectant at five concentration levels. The cryoprotectants used were DMSO, methanol, glycerol, and ethanol, and the tested concentrations were 0%, 5%, 10%, 15%, and 20%, which were combined with 5% egg yolks. Each treatment was conducted with three replications. The results showed that the type of cryoprotectant and its concentration significantly affected sperm motility, viability, and fertility of climbing perch (P < 0.05). The best outcome was obtained in DMSO, and methanol at a concentration of 10%, glycerol at 5%, and ethanol at 15%. However, the highest motility, viability, and fertility values were observed at 10% DMSO, indicating it is the best type and concentration for sperm cryopreservation of climbing perch A. testudineus.

    • SDG 2 · Açlığa Son
    AtıfScopus10WoS7OpenAlex11
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  • MakaleYalnız künye2023Scopus SJRQ3
    A Selective and Sensitive Electrochemical Sensor for Pyridoxine Hydrochloride (Vitamin B6) in Pharmaceutic Tablet

    Koçak, Berna

    In this study, a copper (II) oxide-glutardialdehyde modified boron doped diamond electrode was used as a sensor for the electroanalysis of pyridoxine hydrochloride (vitamin B6) for the first time. A copper oxide-glutardialdehyde modified boron doped diamond electrode (CuO-GA2/BDDE) was prepared by a simple drop casting method on boron diamond electrode (BDDE) by suspending CuO with glutardialdehyde (CuO-GA2). The electrochemical behavior of vitamin B6 was examined using cyclic voltammetry (CV) and its electrochemical determination was found by differential pulse voltammetry (DPV). Under optimum experimental conditions, the linear working range of vitamin B6 on CuO-GA2/BDDE via the DPV method was calculated as 5.96×10−6–3.75×10−4 mol.L−1. The limit of detection (LOD) was calculated as 1.99×10−7 mol.L−1. In order to demonstrate the selectivity of the method improved for the quantitative determination of vitamin B6 on the CuO-GA2/BDDE, the interference effect of some cations (Zn2+, Cu2+, Pb2+) and anions (NO3−, Cl−) was investigated via the DPV method. The improved electrode was successfully used for the electroanalysis of vitamin B6 in a tablet sample of the commercial Tribeksol® (deva) (250/250/1 mg B1+B6+B12).

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  • MakaleYalnız künye2023Scopus SJRQ3
    Comprehensive Evaluation of the Relationships Between Grape Skin Color/Ripening Time and Antioxidative Capacity, Some Phytochemicals, and Fatty Acid Compositions of Their Seeds

    Çakır, Atilla; Odabaşıoğlu, Mehmet İlhan; Karaca Sanyürek, Nesrin; Aydın, Sevinç

    It has been proven that grapes, which are widely cultivated around the world, have positive health effects. However, the phytochemical composition of lesser-known local varieties of Vitis vinifera L., which has a very wide range of varieties, is still being studied. The aim of this study was to determine the effects of skin color and ripening time on the phytochemical compositions of grape seeds. As a plant material local grape varieties cultivated in Southeastern Anatolia (Turkey) were used. The results showed that grape skin color has an effect on vitamin K1, vitamin K2, vitamin D3, δ‑tocopherol, stigmasterol, ergosterol, myristic acid, oleic acid, trans-elaidic acid, and the monounsaturated fatty acid (MUFA) and saturated fatty acid (SFA) contents of seeds. The seeds of grape varieties with colored skins were richer in K2, D3, stigmasterol, oleic acid, trans-elaidic acid, and MUFAs, while the seeds of grape varieties with white skins were richer in K1, δ‑tocopherol, ergosterol, and SFAs. The ripening time of the grapes was found to have a partial effect on the fatty acid compositions of the seeds, but without any effect on linoleic acid contents. As the ripening time was delayed, there was an increase in oleic acid and MUFA contents of the seeds, while there was a decrease in SFA contents. In general, increased vitamin K1 contents of the seeds were parallel to decreases in vitamins K2, D2, and D3, as well as α‑tocopherol content and antioxidant activity. The seeds of grape varieties that have colored skins were found to have more suitable compound compositions for use in the production of functional foods that support human and animal health. In addition, it was concluded that grape berries that ripen late may be more favorable for grapeseed oil production.

    • SDG 2 · Açlığa Son
    AtıfScopus3WoS4OpenAlex3
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  • MakaleYalnız künye2023Scopus SJRQ1
    Energy, exergy and cost analysis of different hemispherical solar distillers: A comparative study

    Hadi Attia, Mohammed El; Hussein, Ahmed Kadhim; Radhakrishnan, Ganesh; Vaithilingam, Sivakumar; Younis, Obai; Akkurt, Nevzat

    The experimental study of the results of reflective aluminum foils, metal sheets, and phosphate granules on the productivity and efficiency of hemispherical solar stills was given throughout this work under the solar conditions of the city of El-Oued (Algeria). Solar stills were designed, manufactured, and tested in August 2020. A standard hemispherical solar still was made of wood and coated with black silicon. It was considered a traditional solar still. Although it was compared to traditional solar stills, it was improved by covering its side walls with reflective aluminum foil, zinc metal sheets, and copper sheets. It had been found that the productivity of the modified still was 8.67%, 29.08%, and 42.35%, respectively, on top of that of the traditional solar still. This could be due to the activity of the foils and metals, which reflect more radiation and store energy, increasing the temperature of the salt water in the basin. In the second experiment, three modified solar stills in line with aluminum foil and phosphate granules (30 g/L), zinc metal sheet and phosphate granules, and copper metal sheet and phosphate granules were collectively used. It had been found that the productivity of the modified solar still with aluminum foil and phosphate granules (the improvement rate is 30.61%) was on the far side of that with zinc metal sheets and phosphate granules (the improvement rate is 49.961%) and copper metal sheets and phosphate granules (the improvement rate is 62.24%).

    • SDG 2 · Açlığa Son
    • SDG 7 · Erişilebilir ve Temiz Enerji
    AtıfScopus37OpenAlex34
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  • MakaleYalnız künye2023Scopus SJRQ2
    Novel electrochemical sensor of nebivolol drug used for treatment of hypertension and chronic heart failure

    İpek, Yeliz; Koçak, Berna

    Nebivolol is a beta-blocker used to treat high blood pressure and heart failure. Nebivolol is a cardiovascular drug in the group of selective beta-blockers (with selective action on the cardiovascular system). It prevents the increase in heart rate and controls the pumping power of the heart. It also has a dilating effect on blood vessels and helps to lower blood pressure with this effect. The ability to analyze nebivolol quickly, simply, economically and reliably is of high importance in two cases. The first is to adjust the drug dosage to be used by the patients, and the second is to provide fast intervention in the drug production process as a result of fast and accurate quality control in drug production and to provide quality control of produced tablets. Since, the boric acid has a good catalytic activity and enhances the peak current intensity, a boric acid‒glutardialdehyde-modified glassy carbon electrode was designed for investigation of electrochemical behavior and quantitative determination of nebivolol (NBV) in this study. Electrochemical reaction peak and the peak current intensity changes with changing NBV concentration provide detection of NBV. The role of glutardialdehyde was to immobilize the boric acid on the electrode surface with its crosslinking ability. The designed electrode was achieved by dropping boric acid‒glutardialdehyde mixture on glassy carbon electrode and drying it at room conditions. By using boric acid‒glutardialdehyde-modified glassy carbon electrode (BA‒GA2/GCE), quantitative analysis of the active drug ingredient (NBV), which is widely used in the treatment of hypertension and chronic heart failure, was carried out sensitively, selectively and at low detection limits with low cost. This electrode exhibited good repeatability and stability for detection of the oxidation peak of NBV. In addition, the working ranges and detection limits of NBV were determined in the optimum experimental conditions. SWV technique was used and according to the results obtained, LOD values for NBV in BR buffer (pH 9) and in urine samples were 1.0 × 10−7 mol L−1 and 4.12 × 10−7 mol L−1, respectively. The feasibility of the developed novel sensor was demonstrated by performing recovery studies with tablet and urine samples containing NBV. The recovery results were 93.10% and 58.16% for urine and tablet samples, respectively. Graphical abstract: [Figure not available: see fulltext.]

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus5WoS5OpenAlex5
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  • MakaleYalnız künye2023Scopus SJRQ4
    Individual and Combined Toxicity of Polycyclic Aromatic Hydrocarbons Phenanthrene and Fluoranthene in Freshwater Amphipod Gammarus pulex (L., 1758) (Amphipoda: Gammaridae)

    Yildirim, Nuran Cikcikoglu; Serdar, Osman; Derman, Taner

    The combined toxicity of polycyclic aromatic hydrocarbons on freshwater amphipod Gammarus pulex was investigated. The 14-day LC50 values of fluoranthene, phenanthrene and their combination for G. pulex were determined as 5.88±0.23, 8.31±0.57 and 7.00±0.33 mg/L, respectively. To evaluate the single and combined toxicity, sublethal concentrations of fluoranthene, phenanthrene and their combination were exposed to G. pulex for 14 days. Acetylcholinesterase, glutathione-s-transferase and cytochrome P450 1A1 enzymes were measured as biomarkers. Acetylcholinesterase activities showed significant inhibition at the end of 7 and 14 days. No statistically significant change was observed in cytochrome P450 1A1 levels at the end of the 7th day, but a significant increase was detected at the end of the 14th day. A significant inhibition was observed in glutathione-s-transferase activities at the end of the 7th and 14th days. Statistically significant changes were observed in all parameters when the application times are compared. It was determined that G. pulex exposed to different concentrations of phenanthrene and fluoranthene individually and in combination caused significant changes in activites of the all measured enzymes. It was concluded that the cytochrome P450 1A1, glutathione-s-transferase and acetylcholinesterase enzymes in G. pulex are useful biochemical markers for the determination of polycyclic aromatic hydrocarbon toxicity.

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  • MakaleYalnız künye2023Scopus SJRQ2
    Silver-Doped Diamond-Like Carbon (DLC:Ag) Nanocomposite Films for Solar Tracking Applications

    Aslan, Naim; Kurt, Mustafa Şükrü; Koç, Mümin Mehmet

    Diamond-like carbon (DLC) films are often investigated for their mechanical properties. In this report, we assessed the electrical and photovoltaic characteristics of DLC:Ag composite films produced for solar tracking and/or photodetector device purposes. We used the magnetron sputtering technique to prepare DLC:Ag thin films where DLC and Ag were co-deposited on Si wafers. Structural characterization of the thin films was performed using AFM, EDX, and Raman spectroscopy. Current–voltage, capacitance–voltage and conductance–voltage characterizations were employed to assess the electrical characteristics and photovoltaic characteristics of the DLC:Ag thin films. I–V characteristics were characterized under various illumination intensities to assess the effect of light intensity on the DLC:Ag composite films. We found that silver-doped DLC composite thin films are responsive to light and exhibit detector-like behaviour. Barrier height was found to be between 0.55 eV and 0.81 eV while the ideality factor was calculated to be between 1.94 and 7.11. It was found that photovoltaic and diode properties were affected by applied illumination intensities. C–V characteristics indicated that the electrical properties of the thin films are responsive to the signal frequency. The density of interface states was calculated which was thought to be a factor related to this behaviour.

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