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Koleksiyondaki öğeler
- MakaleAçık Erişim2018Scopus SJRQ2A new embedded power quality event classification system based on the wavelet transform
Eristi, Belkis; Yildirim, Ozal; Eristi, Huseyin; Demir, Yakup
In this paper, a real time embedded intelligent recognition system is proposed for diagnosing the power quality problems. The intelligent recognition system has a structure capable of classifying and detecting the power quality problems in real time. Hardware applications of the wavelet transform and decision tree classifier are realized inside the recognition system using with field programmable gate array (FPGA) device. These methods operating as embedded in the FPGA environment provide real-time diagnosis of power quality problems. A new approach of this recognition system is its capability to simultaneously detect a power quality event in the power systems and power quality disturbances occurring on each phase following the event. In this paper, 2 different recognition systems that online and offline are presented. The online recognition system operates in the fields with signal processing and classification structures embedded. In the offline system, the distinctive features of the event signals obtained from the online system are used and these signals are classified in the computer environment by means of the least square support vector machines. A prototype model of the power system is created in the laboratory environment in order to test the FPGA-based online intelligent recognition system, determine accuracy rates and evaluate its performance. Power quality event types are created in wide parameter ranges on this model. Obtained results from both recognition systems indicated the hardware and software designs of our embedded systems are quite effective, fast, and have high success performance.
AtıfScopus48WoS35OpenAlex50
İncele - MakaleYalnız künye2018Scopus SJRQ2The determination of present and possible environmental risks in solid waste dumping site, Tunceli, Turkey
Yildirim, Nuran Cikcikoglu; Demirbilek, Deniz; Erguven, Gokhan Onder; Kayar, Rahime; Basaran, Senay; Tulpar, Dilan
Leachate was a major cause of high risk classification. This landfill was set as one with highest possible risk classification due to high vulnerability of private water wells to contamination from leachate flows. The aim of this study is to determine the present and possible environmental risks of the leachate spreading from solid waste dumping site in Tunceli and offer solutions for those determined environmental risks. For this purpose, the characteristics of the leachate were monitored at two station points detected in the solid waste dumping site for 7 months. The characteristics of the leachate were found for pH between 7.9 and 8.7. Oxidation reduction potential (ORP) occurred between − 143 and − 48 mV while conductivity was between 2.8 and 2.6 mS. Total solid matter (TSM) and suspended solid matter (SSM) were between 1000 and 7000 mg/l, 0.2–22.5 mg/l, respectively, while total volatile solids (TVS) occurred between 300 and 1800 mg/l for the two stations. Alkalinity was approximately between 290 and 5210 mg/l, while biological oxygen demand (BOD5) and chemical oxygen demand (COD) results were 15–606 mg/l and 60–1160 mg/l, respectively, for two stations in all sampling time. In both stations, orthophosphate, ammonium nitrogen, nitrate, sulfate, and chloride analyses stayed between 3.04 and 921.1 mg/l; 0.29–619.36 mg/l; 8.94–135.04 mg/l; 125.9–1360.9 mg/l and 99.9–1249.9 mg/l, respectively, in 6 months. As a result of the characterization studies obtained from the leachate, it was found that the amounts of water entering into the waste mass and the retention period of the water in the mass were very effective in the temporal character change of the leachate. According to the Discharge Standards for Solid Waste Assessment and Disposal Facilities and Discharge to Waste Water Infrastructure Facilities of waste management regulation, the results were found to be risky. Consequently, the site in question needs to be urgently rehabilitated when considering the environmental risks of the leachate spreading from the site.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2019Scopus SJRQ1Influence of ultrasound and osmotic dehydration pretreatments on drying and quality properties of persimmon fruit
Bozkir, Hamza; Rayman Ergün, Ahsen; Serdar, Emine; Metin, Gülhan; Baysal, Taner
In this study, the effect of the ultrasound and osmotic dehydration pretreatments before the convective drying of the persimmon fruit was assessed via their drying behavior and quality properties. Ultrasound-assisted osmotic dehydration (30 °C, 45 °Brix) was performed at 35 kHz for 10, 20, and 30 min. Afterward, samples were placed first in 45 then in 70 °Brix sucrose solutions; the solutions were next shaken at 100 rpm. The control group without ultrasound treatment dehydrated osmotically. The samples were dried in a tray drier at a temperature of 60 °C and an air velocity of 1.5 m/s. Ultrasound-assisted osmotic drying treatments increased water loss and sugar gain; moreover, the osmotic dehydration time was shorter than in the untreated group. The ultrasound-assisted osmotic dehydration demonstrated a significantly decreased drying time, increased drying rates, and a 21% increase in effective water diffusivity by 30 min. The ultrasound pretreated osmotic dehydration prior to hot air-drying decreased the total required drying time. The ultrasound-assisted osmotic dehydration affected the rehydration rate and total phenolic content significantly and there was no significant difference between the color change (ΔE, ΔC, and Hue°) of the ultrasound treatment (30 min) group and the untreated group.
AtıfScopus181WoS148OpenAlex178
İncele - MakaleYalnız künye2020Scopus SJRQ2A comparative assessment of biological activities of Gundelia dersim Miller and Gundelia glabra Vitek, Yüce & Ergin extracts and their chemical characterization via HPLC-ESI-TOF-MS
de la Luz Cádiz-Gurrea, María; Zengin, Gokhan; Leyva-Jiménez, Francisco Javier; Fernández-Ochoa, Álvaro; Sinan, Kouadio Ibrahime; Cakilcioglu, Ugur; Babacan, Ebru Yuce; Mahomoodally, Mohamad Fawzi; Picot-Allain, Carene; Xiao, Jianbo
Plants from the Gundelia genus have been well appraised as both food and remedies. The members of the Gundelia genus are widely used as foods in several countries including Turkey. This study presents a comparative assessment of two poorly studied Gundelia species (G. glabra Miller and G. dersim Vitek, Yüce & Ergin). The effect of conventional (infusion, maceration, and Soxhlet extraction) and non-conventional (homogeniser and ultrasound assisted extraction) methods of extraction of bioactive secondary metabolites from the selected Gundelia species was also assessed. A total of 68 different compounds were detected by high-performance liquid chromatography coupled to electrospray ionization and time-of-flight mass spectrometry (HPLC-ESI-TOF-MS) technique. Non-conventional extraction techniques do not guarantee higher antioxidant activity. As such, G. dersim (91.27, 138.87, 182.28, and 125.65 mg TE [Trolox equivalent]/g dried extract, for 2,2-diphenyl-1-picrylhydrazyl (DPPH), 2,2′-azino-bis (3-ethylbenzothiazoline-6-sulphonic acid) (ABTS), cupric reducing antioxidant capacity (CUPRAC), and ferric reducing antioxidant power (FRAP) assays, respectively).The highest α-glucosidase inhibition was recorded for the extracts obtained by ultrasonication. In the multivariate analysis, the extracts from Gundelia species were separated based on their biological activities. The presented findings could be one methodological starting point for designing novel products from two Gundelia species.
AtıfScopus12OpenAlex13İncele - MakaleAçık Erişim2018Investigation of mineral components and antioxidant properties of a healthy red fruit: Cornelian Cherry (Cornus mas L.)
Karaaslan, Merve Goksin; Karaaslan, Nagihan M.; Ates, Burhan
The mineral components of the foodstuff consumed by an individual are important in the growth and development of a human being. In recent years red fruits, because of their potential beneficial health effects, are getting attention of both consumers and manufacturers. One of the red fruits, Cornelian cherry (Cornus mas L.), was investigated in terms of both mineral components and antioxidant properties. The mineral components include calcium (Ca), iron (Fe), potassium (K), magnesium (Mg), and zinc (Zn) in this fruit were determined using flame atomic absorption spectrometry (FAAS). The antioxidant activity tests were applied to the extracts obtained using different solvents to examine the antioxidant properties of this fruit. Statistical analysis indicated that while the best results were obtained from acetone extracts, the lowest results were obtained from water extracts for all antioxidant activity tests (p<0.05). The best average values for DPPH and ABTS radical scavenging capacity, reducing power, total phenolic content and total flavonoid content in acetone extracts were found to be 1053.72±38.12 mg TEAC/100 g FW and 2907.34±152.05 mg TEAC/100 g FW, 5894.99±251.05 mg TEAC/100 g FW, 2979.25±69.40 mg GAE/100 g FW and 255.75±14.92 mg QE/100 g FW, respectively.
AtıfScopus14OpenAlex13TR Dizin3
İncele - MakaleYalnız künye2018Scopus SJRQ1Assessment of the combined in-plane and out-of-plane behavior of brick infill walls within reinforced concrete frames under seismic loading
Onat, Onur; Correia, António A.; Lourenço, Paulo B.; Koçak, Ali
Understanding the out-of-plane response of masonry infill walls and preventing their progressive collapse mechanisms is very important for earthquake-prone countries to prevent loss of life and economic loss. In fact, having a realistic collapse mechanism assessment allows suitable prevention measures to be adopted. With this purpose in mind, two full-scale one-bay one-story substructures of reinforced concrete frames (RCF) with infill walls were tested on a shake table. These 2 specimens were designed to represent the response of a typical RC Frame at the fifth floor of an 8-story building, namely the out-of-plane failure of its infill wall under combined bidirectional seismic load. Both specimens were composed of a single-leaf clay brick infill wall surrounded by the RC Frame. However, while the first specimen corresponds to an unreinforced masonry configuration, the second specimen includes horizontal bed joint reinforcement as a strengthening/retrofitting technique. The main novelty of this study is the application of a bidirectional and simultaneous dynamic loading to the specimen, such that in-plane and out-of-plane effects are evaluated together. This work presents several interesting experimental results, with particular emphasis on the bearing capacity of the specimens against out-of-plane failure. As expected, the in-plane capacity of the reinforced infill specimen is larger than that of the unreinforced infill specimen. Nevertheless, the out-of-plane bearing capacities of the two specimens are very similar, in contrast to their ductility capacity, which is significantly increased in the reinforced masonry specimen. The capacities of the two specimens for both in-plane and out-of-plane directions, as predicted by formulations in the literature, are given. The differences found between these calculations and the results of the tests are discussed, and may possibly be explained by the parameters considered in the different formulations.
AtıfScopus49OpenAlex44İncele - MakaleYalnız künye2020Scopus SJRQ2Modeling and optimization of indigo carmine adsorption from aqueous solutions using a novel polymer adsorbent: RSM-CCD
Torğut, Gülben; Tanyol, Mehtap; Meşe, Zeynep
A novel adsorbent was prepared via the free radical copolymerization of 2-(dimethylamino) ethyl methacrylate (DMAEMA) and acrylonitrile (AN) using 2,2′-azobisizobutyronitrile (AIBN) as an initiator at 65 °C. Poly(DMAEMA-co-AN) was characterized by FT-IR, 1H-NMR, and SEM techniques. Its thermal properties were determined by TGA and DSC. The copolymer was used to remove indigo carmine (IC) from aqueous solutions. The optimum IC removal percentage was determined to be 99.53% with poly(DMAEMA-co-AN) of 0.10 g/100 mL, contact time of 31.37 min, 46.58 mg/L initial concentration of IC using a central composite design in response surface methodology. The high maximum adsorption capacity (196.07 mg/g) proved that poly(DMAEMA-co-AN) can be used as a promising adsorbent for the removal of IC from wastewaters.
AtıfScopus20WoS19OpenAlex21İncele - MakaleYalnız künye2021Determination of Antioxidant Capacity, Phenolic and Elemental Composition in Syriac (Mardin) Wines by using Chromatographic and Spectrophotometric Methods
Sanyurek, Nesrin Karaca; Ince, Olcay Kaplan; Aydogdu, Burcu; Ince, Muharrem
Free radicals are responsible for many health problems, especially oxidative stress-related diseases. With conscious nutrition and the use of natural antioxidants, it is now possible to cope with these diseases or minimize their effects. The aim of this study was to determine pH, total acidity, total SO2, free SO2, relative SO2, dry matter, density, alcohol content, reducing sugar, ash, CUPRAC, DPPH free radical scavenging capacity, total phenolic content, elemental composition, and some phenolic compounds of Syriac (Mardin) wines. Estimated daily intake (EDI), target hazard quotients (THQ), total target hazard quotients (TTHQ), and relative risk (RR) were calculated, to assess a health risk resulting from regular consumption of Syriac wines. The elements EDI values through consumption of wines were less than the recommended dietary allowance values. Obtained THQ values were less than 1. When the obtained results are compared with the levels set by regulatory authorities, the investigated wine consumption does not pose a toxicological risk based on EDI, THQ, TTHQ, and RR values. In addition, this study showed that the Syriac wine’s antioxidant capacities are high and rich in phenolic compounds and elements.
AtıfScopus1WoS1OpenAlex3İncele - MakaleAçık Erişim2020Scopus SJRQ1Investigation of potential health risks in terms of arsenic in grapevine exposed to gallery waters of an abandoned mining area in Turkey
Topal, Murat; Arslan Topal, E. Işıl; Öbek, Erdal
In this study, potential health risks in terms of arsenic in grapevine exposed to gallery waters of an abandoned mining area in Turkey were investigated. The concentrations of arsenic were determined in roots, stems, and leaves. The translocation factors and bioconcentration factors were calculated. The highest arsenic concentration in the grapevine was determined as 539.4±27 mg/kg, for root. The arsenic concentrations in grapevine as follows: Root>Leaf>Stem. The estimated daily exposure followed an order for the male, female, and children: dermal<inhalation<ingestion<dietary. The non-carcinogenic and total hazard index values calculated for As were higher than 1. The risk of arsenic to be carcinogenic has been determined. The highest carcinogenic risk can be listed as dietary > ingestion > inhalation > dermal. In our study, calculated carcinogenic risk values in terms of dietary, inhalation, and ingestion are higher than 10−4-10−6. As a result, the highest cancer risk on human health was determined as a dietary intake of grapevine leaves according to the calculated carcinogenic risk values.
AtıfScopus20WoS19OpenAlex21İncele - MakaleAçık Erişim2018Scopus SJRQ2On the solitary wave solutions to the longitudinal wave equation in MEE circular rod
Bulut, Hasan; Sulaiman, Tukur Abdulkadir; Baskonus, Haci Mehmet
This study investigates the longitudinal wave equation in a magneto-electro-elastic circular rod by using the extended sinh-Gordon equation expansion method. Topological, non-topological and singular soliton solutions are extracted. To illustrate the physical appearance of the obtained solutions, 2D, 3D and the contour graphs to some of the obtained solutions are plotted. The reported results may be useful in explaining the physical meaning of the studied models and other nonlinear physical models arising in nonlinear sciences.
AtıfScopus43OpenAlex43İncele - MakaleAçık Erişim2019Scopus SJRQ3Study of validity, reliability in accordance with Turkey conditions in ego functions assessment scale
Durmaz, Yadigar Çevik; Ünsal, Gül
Purpose: The aim of the study is to conduct a reliability and validity study of the Ego Function Assessment (EFA) scale. Design and Methods: The study was conducted with a total of 426 participants, which included 213 patients with schizophrenia and a control group of 213 normal individuals. The Individual Information Form, EFA Scale, Wonderlic Personnel Test, Adjective Check List, and Symptom Check List were used for data collection. Finding: All the statistical procedures performed in the validity and reliability stages of the study show that the scale is a valid, reliable measurement tool for the Turkish culture. Practice Implications: In psychiatric nursing, the use of the EFA scale can be recommended for planning individual patient care, which involves the assessment of a patient's functional adjustment on the basis of their own ego profile.
AtıfScopus4WoS4OpenAlex4İncele - MakaleAçık Erişim2019Scopus SJRQ3On the new wave behavior to the Klein–Gordon–Zakharov equations in plasma physics
Baskonus, H.M.; Sulaiman, T.A.; Bulut, H.
In this study, the extended sinh-Gordon equation expansion method is used in constructing various exact solitary wave solutions to the Klein–Gordon–Zakharov equations. The Klein–Gordon–Zakharov equations is a nonlinear model describing the interaction between the Langmuir wave and the ion acoustic wave in a high-frequency plasma. We successfully construct some topological, non-topological, compound topological and non-topological, singular, compound singular solitons and singular periodic wave solutions. Under the choice of suitable values of the parameters, the 2D, 3D and contour graphs to some of the reported solutions are also plotted.
AtıfScopus61WoS58OpenAlex67İncele - MakaleYalnız künye2018Scopus SJRQ2Chemoprotective effects of curcumin on doxorubicin-induced nephrotoxicity in wistar rats: by modulating inflammatory cytokines, apoptosis, oxidative stress and oxidative DNA damage
Benzer, Fulya; Kandemir, Fatih Mehmet; Kucukler, Sefa; Comaklı, Selim; Caglayan, Cuneyt
Doxorubicin (DXR) is one of the most important chemotherapeutic agent. However, nephrotoxicity reduces its clinical utility in humans. The aim of the study was to investigate protective effects of curcumin (CMN) against DXR-induced nephrotoxicity. Rats were subjected to oral treatment of CMN (100 and 200 mg/kg body weight) for 7 days. Nephrotoxicity was induced by single intra peritoneal injection of DXR (40 mg/kg body weight) on the fifth day and then the experiment was terminated on the eighth day. Nephroprotective effects of CMN were associated with decrease in serum toxicity markers and increase in antioxidant enzyme activities. CMN was able to reduced the levels of inflammatory markers such as TNF-α, NF-κB, IL-1β, iNOS and COX-2 in the rats. It also reduced the expressions of apoptotic marker including caspase-3, and oxidative DNA damage marker including 8-OHdG. Collectively, these findings indicated that CMN protect against DXR-induced nephrotoxicity.
AtıfScopus116WoS111OpenAlex122İncele - MakaleYalnız künye2019Scopus SJRQ2Biosynthesis of gold nanoparticles using marine bacteria and Box–Behnken design optimization
Camas, Mustafa; Celik, Fatih; Sazak Camas, Anil; Ozalp, Hasan Baris
Gold nanoparticles are exciting materials because of their potential applications in optics, electronics, biomedical, and pharmaceutical fields. In recent years, environmentally friendly, low-cost biosynthesis methods with bio-applicable features have continued to be developed for the synthesis of gold nanoparticles. In the present study, an actinobacterial strain was isolated from the Petrosia ficiformis (Poiret 1798) sponge, which was collected from a marine environment, and the gold nanoparticle synthesis was performed for the first time from the bacteria type belonging to the Citricoccus genus. The synthesis conditions were optimized using the Box–Behnken experimental design, with a statistical method that included three independent variables (temperature, time, and mixture ratio) to affect the synthesis at three levels (+1, 0, and −1). Accordingly, the conditions proposed for the biosynthesis of gold nanoparticles at the maximum optical density values that are specific for the Citricoccus sp. K1D109 strain were estimated as 35°C temperature, 24 h, and 1/5 mixture ratio (cell-free extract/HAuCl4 · 3H2O). When recommended conditions were applied, it was determined that the maximum absorbance of the synthesized gold nanoparticles is 1.258 at 545 nm, and their sizes are in the range of 25–65 nm, according to transmission electron microscopy (TEM) data.
AtıfScopus33WoS30OpenAlex34İncele - MakaleYalnız künye2020Scopus SJRQ1The fabrication of bilayer polylactic acid films from cross-linked starch as eco-friendly biodegradable materials: Synthesis, characterization, mechanical and physical properties
Gürler, Nedim; Paşa, Salih; Hakkı Alma, M.; Temel, Hamdi
In this study, pure potato starch (PPS) was purified from waste potato residual to fabricate cross-linked bilayer materials with the casting method. Malonic acid (MA) was employed to get cross-linked material from PPS as PPS-MA. Then polylactic acid (PLA) was also implemented onto PPS and PPS-MA to produce bilayer materials as PPS-PLA and PPS-MA-PLA. The obtained these bilayer films were characterized by FTIR, XRD, and TGA. The mechanical and physical applications such as water vapor permeability, water uptake, moisture content, solubility, and opacity were investigated. The biodegradation calculations were also done by the process of composting. It has demonstrated that each application onto PPS increased the mechanical features. However, elongation wasn't seen during the breaking test of PPS and PPS-MA films, whereas the PPS-PLA and PPS-MA-PLA films demonstrated 9.34% and 10.14% elongation at break that substantiates the structural durability against rupture, fragmentation, and feeble. Furthermore, the water vapor permeability, water uptake, moisture content, and solubility decreased but the opacity has increased.
AtıfScopus70WoS64OpenAlex79İncele - MakaleYalnız künye2021Scopus SJRQ1Experimental design approach for ultra-fast nickel removal by novel bio-nanocomposite material
Ince, Olcay K.; Aydogdu, Burcu; Alp, Hevidar; Ince, Muharrem
In the present study, novel chitosan coated magnetic magnetite (Fe3O4) nanoparticles were successfully biosynthesized from mushroom, Agaricus campestris, extract. The obtained bio-nanocomposite material was used to investigate ultra-fast and highly efficient for removal of Ni2+ ions in a fixed-bed column. Chitosan was treated as polyelectrolyte complex with Fe3O4 nanoparticles and a Fungal Bio-Nanocomposite Material (FBNM) was derived. The FBNM was characterized by using X-Ray Diffractometer (XRD), Scanning Electron Microscopy-Energy Dispersive X-Ray Spectroscopy (SEM-EDS), Fourier Transform Infrared spectra (FTIR) and Thermogravimetric Analysis (TGA) techniques and under varied experimental conditions. The influence of some important operating conditions including pH, flow rate and initial Ni2+ concentration on the uptake of Ni2+ solution was also optimized using a synthetic water sample. A Central Composite Design (CCD) combined with Response Surface Modeling (RSM) was carried out to maximize Ni2+ removal using FBNM for adsorption process. A regression model was derived using CCD to predict the responses and analysis of variance (ANOVA) and lack of fit test was used to check model adequacy. It was observed that the quadratic model, which was controlled and proposed, was originated from experimental design data. The FBNM maximum adsorption capacity was determined as 59.8 mg g−1. Finally, developed method was applied to soft drinks to determine Ni2+ levels. Reusability of FBNM was tested, and the adsorption and desorption capacities were not affected after eight cycles. The paper suggests that the FBNM is a promising recyclable nanoadsorbent for the removal of Ni2+ from various soft drinks.
AtıfScopus11WoS11OpenAlex7İncele - MakaleAçık Erişim2020Scopus SJRQ1Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images
Celik, Yusuf; Talo, Muhammed; Yildirim, Ozal; Karabatak, Murat; Acharya, U Rajendra
Advances in artificial intelligence technologies have made it possible to obtain more accurate and reliable results using digital images. Due to the advances in digital histopathological images obtained using whole slide image (WSI) scanners, automated analysis of digital images by computer support systems has become interesting. In particular, deep learning architectures, are one of the preferred approaches in the analysis of digital histopathology images. The deeper networks trained on large amounts of image data are adapted for different tasks using transfer learning technique. In this study, automated detection of invasive ductal carcinoma (IDC), which is the most common subtype of breast cancers, is proposed using deep transfer learning technique. We have used deep learning pre-trained models, ResNet-50 and DenseNet-161 for the IDC detection task. The public histopathology dataset containing 277,524 image patches were used in our experimental studies. As a result of training on the last layers of pre-trained deep networks, DenseNet-161 model has yielded F-sore of 92.38% and balanced accuracy value of 91.57%. Similarly, we have obtained F-score of 94.11% and balanced accuracy value of 90.96% using ResNet-50 architecture. In addition, our developed model is validated using the publicly available BreakHis breast cancer dataset and obtained promising results in classifying magnification independent histopathology images into benign and malignant classes. Our developed system obtained the highest classification performance as compared to the state-of-art techniques and is ready to be tested with more diverse huge databases.
AtıfScopus297OpenAlex318İncele - BildiriAçık Erişim2018Scopus SJRQ2Evaluating deep learning models for sentiment classification
Ay Karakuş, Betül; Talo, Muhammed; Hallaç, İbrahim Rıza; Aydin, Galip
Deep learning has emerged as an effective solution to various text mining problems such as document classification and clustering, document summarization, web mining, and sentiment analysis. In this paper, we describe our work on investigating several deep learning models for a binary sentiment classification problem. We used movie reviews in Turkish from the website www.beyazperde.com to train and test the deep learning models. We also report a detailed comparison of the models in terms of accuracy and time performances. Two major deep learning architectures used in this study are Convolutional Neural Networks and Long Short-Term Memory. We built several variants of these models by changing the number of layers, tuning the hyper-parameters, and combining models. Additionally, word embeddings were created by applying the word2vec algorithm with a skip-gram model on a large dataset (∼ 13 M words) composed of movie reviews. We investigate the effect of using the pre-word embeddings with these models. Experimental results have shown that the use of word embeddings with deep neural networks effectively yields performance improvements in terms of run time and accuracy.
AtıfScopus55WoS40OpenAlex64İncele - MakaleYalnız künye2020Scopus SJRQ4Estimation of gillnet selectivity for shabbout (Arabibarbus grypus Heckel, 1843)
Yüksel, Fahrettin; Demirol, Ferhat; Gunduz, Fatih; Coban, Mehmet Zulfu
In this study, it was aimed to determine the selectivity properties of the gillnets used for Shabbout (Arabibarbus grypus Heckel, 1843) in Keban Dam Lake, Turkey. Experiments were carried out at 3 different stations of the dam lake using 5 monofilament gillnets with 40, 50, 60, 70, 80 mm nominal mesh size (bar length). A total of 510 target species between 38 and 79.2 cm in total length were caught in 47 catching trials. The select method was used to estimate the selectivity parameters. When the model deviations were compared, the lowest deviation (183.6104) was observed to be given by the lognor-mal model. According to this model, optimum catch lengths of nets which have 40, 50, 60, 70, 80 mm mesh size determined as 40.12, 50.15, 60.18, 70.21, 80.24 cm and their spread values 3.03, 3.79, 4.55, 5.30, 6.06 cm, respectively. The differences between the length frequencies of the fish caught by all nets were found to be significant according to the Kolmo-gorav-Smirnov test. Minimum catch size of Shabbout is notified as 45 cm in Turkey. According to results of this study, gillnets with 50 mm and above mesh size do not cause an overfishing on Shabbout stocks.
AtıfScopus3İncele - MakaleYalnız künye2021Scopus SJRQ2The assessment of basic blue 41 textile dye decolorisation using the Fenton process: response surface methodology optimisation and toxicity evaluation
Tanyol, Mehtap; Cikcikoglu Yildirim, Nuran; Tatar, Sule; Serdar, Osman; Yildirim, Numan
The biochemical biomarkers (Catalase (CAT), glutathione s-transferase (GST), cytochrome P4501A1 (CYP1A1450) activities and glutathione (GSH), malondialdehyde (MDA) levels) of D. polymorpha exposed to the basic blue 41 (BB41) solutions for 24 and 96 h before and after the Fenton process (FTP) were evaluated to investigate the efficiency of the FTP. The optimum conditions for the removal of BB41 were set using central composite design (CCD), which is a response surface methodology (RSM) module in the Design-Expert® software. The optimal conditions were found to be 27.87 min, 3.49 mg/L, and 0.04 for reaction time, initial BB41 concentration, and Fe2+/H2O2 molar ratio, respectively, resulting in maximum (99%) removal efficiency. After FTP, the MDA and GSH levels decreased significantly during the 24 and 96 h. CAT activities were increased after treatment. No statistically significant changes were observed in the CYP1A1 levels after FTP. GST activities decreased during 24 h but increased during 96 h after FTP. CYP1A1450, catalase, GST activities and MDA, GSH levels of D. polymorpha are useful biomarkers to evaluate the efficiency of FTP. This study suggests that BB41 dye must be further treated after the FTP to minimise the ecotoxicological risk.
AtıfScopus8WoS6OpenAlex8İncele
