Sürdürülebilir Kalkınma Amaçları

• 16
• 7
• 6
• 5
• 4

Araştırmacılar(4)

• Kutlu, Banu
• Özçiçek, Esin
• Sarlgül, Ali
• Serdar, Osman

• MakaleYalnız künye2026Scopus SJRQ1/r/munzur/1148
  Hydrogeochemical controls on chromium speciation and potential human health risks in surface waters of an ultramafic mining watershed

  Kutlu, Banu; Baydar, Tarık; Yıldırım, Vesile; Konurhan, Zekeriya

  Accurate assessment of chromium contamination in mining-influenced watersheds requires distinguishing between the environmentally contrasting Cr(III) and Cr(VI) species, yet environmental monitoring and risk assessments still rely predominantly on total chromium concentrations. This study evaluated whether chromium speciation provides additional information beyond operational total chromium for assessing chromium occurrence and potential human health risks in an ultramafic, mining-influenced watershed. Surface-water samples were collected from 28 sampling stations across the Pülümür and Ovacık regions of the Eastern Anatolia Basin (Türkiye) between March 2025 and February 2026. Chromium speciation was determined using species-specific UV–Visible spectrophotometric methods and integrated with hydrochemical characterization, multivariate statistical analyses, mineralogical investigations (XRD, SEM–EDS, and FTIR), and deterministic and empirical-bootstrap human health risk assessments. Operational total chromium, defined as the sum of separately measured Cr(III) and Cr(VI), ranged from below the detection limit to 578.13 µg L−1. For contextual screening, this calculated value exceeded World Health Organization (WHO) drinking-water guideline for total chromium at 14 stations; however, it was not an independently measured total-Cr concentration. The highest Cr(VI) concentration occurred at a localized hotspot, whereas Cr(III) predominated throughout most of the watershed. Nevertheless, Cr(VI)-based screening thresholds were exceeded at multiple stations under the assumed untreated drinking-water ingestion scenario, indicating that operational total chromium alone did not consistently identify the spatial distribution of Cr(VI)-related potential risk. Screening-level hazard quotient (HQ) estimates were higher for children than for adults; however, direct untreated consumption of the sampled surface waters was not verified. Mining-influenced stations generally exhibited higher chromium concentrations, although the relative contributions of geogenic weathering and mining-related mobilization could not be quantitatively apportioned. Overall, chromium speciation provided additional environmentally and toxicologically relevant information beyond operational total chromium for evaluating chromium mobility and screening-level potential human health risks in this ultramafic watershed.

  • 
  • 
  İncele
• MakaleYalnız künye2026Scopus SJRQ1/r/munzur/988
  Determination of microplastic contamination and phthalate ester migration in canned and frozen packaged seafood: A probabilistic human health risk assessment via Monte Carlo simulation

  Macit, Arife; Köktürk, Mine; Serdar, Osman; Alak, Gonca

  This research was designed to identify the levels of microplastics (MP) and phthalate esters (PAE) in canned and frozen packaged fish and to assess the human health risks associated with these pollutants. Analyses were carried out on a total of 25 sample groups, including 10 different canned tuna samples, 9 different packaged seafood products, and 6 different packaging materials. Microplastics were characterized and polymer identification was performed using μ-Raman and ATR-FTIR spectroscopy, while PAEs were determined by GC–MS/MS. The obtained data were used to calculate estimated daily intake (EDI), hazard index (HI), hazard quotient (HQ), and cancer risk (CR), and uncertainty was assessed using Monte Carlo simulation. The findings revealed that both microplastic and phthalate exposure were higher in the frozen fish group than in canned products. The highest MP concentrations were recorded in packaged Whiting B (0.73 ± 0.25 items/g) and oil-added canned tuna (0.57 ± 0.15 items/g). Regarding PAEs, while DEHP and DBP were generally prominent, significant peak concentrations of BBP and DNOP were also identified, reaching 1.91 ± 0.01 ppm for BBP in canned tuna with sunflower oil and 1.84 ± 0.01 ppm in packaged whiting. Furthermore, higher exposure was observed in males for most PAEs. HQ and HI values were below 1 (maximum HI: 1.57 × 10−2 for males consuming frozen seafood), while CR values remained within an acceptable range (4.74 × 10−7 to 3.49 × 10−6). In conclusion, health risks related to processed fish consumption appear generally low; however, processing and packaging may contribute to contamination and warrant further investigation.

  • 
  • 
  İncele
• MakaleAçık Erişim2026Scopus SJRQ1/r/munzur/782
  EBA-Net: A hybrid EfficientNetB3-BiLSTM-Attention model for species-level diatom classification

  Balo Utku, Esen Damla; Kutlu, Banu; Utku, Anil

  Species identification in diatoms is important for assessing water bodies, determining environmental quality, and analyzing biodiversity. Nonetheless, diatom classification has proven difficult due to intra-class variation, interclass similarity, and data imbalance in microscopic images. In this regard, we propose a new deep learning approach for species-level diatom classification. Various deep learning models, including traditional convolutional neural networks or CNNs (ResNet50, DenseNet121), state-of-the-art CNNs (EfficientNetB3, Xception, MobileNetV3), transformer-based architectures (ViT-B16, Swin-Tiny), and our proposed EBA-Net (EfficientNetB3-BiLSTM-Attention Network), were extensively compared under identical experimental settings. The EBA-Net integrates the advantages of convolutional feature extraction, sequence modeling, and an attention mechanism to improve classification accuracy. It first uses the EfficientNetB3 model as the backbone network to obtain higher-level features, followed by a BiLSTM layer to capture dependencies among the extracted features. Then, it applies the attention mechanism to the BiLSTM output to highlight the most informative features. Experimental results showed that the proposed EBA-Net model outperforms other models considered in the study, yielding 95.8% accuracy and 85.1% macro F1-score. In addition, Top-3 (98.9%) and Top-5 (99.6%) accuracies confirmed the efficiency of the proposed model for classifying objects from visually similar classes. An analysis of the model's interpretability was conducted using Gradient-weighted Class Activation Mapping, showing that the proposed model's attention is concentrated on relevant morphological features of diatoms. To the best of our knowledge, the suggested approach achieves state-of-the-art accuracy on the data set of diatoms used.

  İncele
• MakaleYalnız künye2026Scopus SJRQ1/r/munzur/619
  Evaluation of rainbow trout response to the optimal anesthetic concentration of citronella oil (Cymbopogon nardus) predicted by artificial neural network

  Minaz, Mert; Félix, Luís M.; Er, Akif; Köse, Özay; Ak, Kübra; Alparslan, Cem; Serdar, Osman; Aydın, Baki; Kurtul, Irmak; Hoseini, Seyyed Morteza

  Anesthesia practices in aquaculture are important for preventing potential stress in fish. For this purpose, interest in natural anesthetic agents as substitute for currently used synthetic anesthetics has increased. In this context, the present study demonstrated the anesthetic efficacy of citronella oil (Cymbopogon nardus) in rainbow trout (Oncorhynchus mykiss) individuals. Based on an artificial neural network (ANN) model derived from preliminary studies, the optimal anesthetic concentration for rainbow trout individuals was estimated as 90 μL L−1. Validation of the concentration predicted by ANN revealed no time-dependent hematological or histological effects on fish to citronella oil. Furthermore, biochemical tests revealed that the partial post-anesthesia increase in ALT and AST values was transient and negligible in light of histological findings. Although oxidative stress was observed during the acute period, the enzymatic activity of SOD and CAT effectively reduced the oxidative damage, demonstrating their role in protecting the fish from oxidative stress. The antioxidant activity observed was temporary, returning to baseline levels without any accompanying tissue damage at the tested concentration. Behavioral monitoring further indicated a swift reduction in motor activity followed by a smooth recovery process, with no evident signs of stress or avoidance behaviour. Overall, these results position citronella oil as a promising natural anesthetic for rainbow trout under the studied parameters. That said, further studies involving various solvents, temperature ranges, and fish species are necessary to comprehensively establish its efficacy and safety.

  AtıfScopus4

  İncele
• MakaleAçık Erişim2025/r/munzur/6211
  Determination of Toxic Effect of Gamma Cyhalothrin in Dreissena polymorpha by Some Biomarkers

  Parlak Ak, Tuba; Aydın, Ayşe Nur; Serdar, Osman

  In this study, the effects of pesticides on the freshwater mussel Dreissena polymorpha, a non-target organism, were aimed to be determined through biochemical responses. For this purpose, first, the acute toxicity value (LC50) of Gamma Cyhalothrin (GCH) pesticide on D. polymorpha was determined by standard static method and the LC50 value was calculated as 13.64 mg/L using probit analysis. Then, superoxide dismutase (SOD), glutathione peroxidase (GPx), catalase (CAT) activities, malondialdehyde (MDA) and glutathione (GSH) level responses of D. polymorpha organism exposed to GCH sublethal concentrations for 24 and 96 hours were determined. In addition to biochemical biomarkers, histopathological responses were evaluated. In conclusion, this study demonstrated the abilities of GCH pesticides to induce oxidative stress. Moreover, MDA, GSH levels, SOD, CAT, GPx activities and histopathological responses could be used as an effective biomarker in D. polymorpha.

  İncele
• MakaleAçık Erişim2025/r/munzur/6205
  Determination of Oxidative Stress Responses in Dreissena polymorpha Exposed to Rare Earth Elements (Terbium, Lanthanum, Gadolinium and Praseodymium) with Temperature

  Serdar, Osman; Aydın, Ayşe Nur

  The continuous development of industry pushes people to search for new resources, and for this reason, the usage areas of Rare Earth Elements (REEs) are increasing day by day. Increasing concentrations of REEs, as a result of increased use, create pollution in the environment and harm living organisms. This pollution interacts with increasing temperature and causes more negative synergistic effects of the pollutant in the environment and in the living body. In this study, sublethal concentration values were determined by literature review and the concentration value was determined as 125 mg/L. In the present study tt was aimed to investigate some oxidative stress and antioxidant responses of Terbium, Lanthanum, Gadolinium and Praseodymium REEs in Dreissena polymorpha at 125 mg/L concentration at 3 different temperatures (16, 18, 20 0C) with biomarkers. For this purpose, 24 and 96 hour experimental trial design was created and 7 D. polymorpha were used in each trial group, and the application experiments were carried out with 3 replications. The samples at the end of the experimental phase were stored at -80 degrees Celsius until they were analyzed. In this study, Superoxide dismutase (SOD), catalase (CAT) and glutathione peroxidase (GPx) enzyme activities and glutathione (GSH) and Thiobarbituric acid (TBARS) level biomarker responses were determined by ELISA test microplate reader. CAYMAN brand SOD (Catalog No 706002), CAT Catalog No 707002) and GPx (Catalog No 703102), GSH (Catalog No 703002) and TBARS (Catalog No 10009055) were used in the study. SPSS 24.0 package program one-way ANOVA (Duncan 0.05) was used for the evaluation of biochemical analyzes. According to the study data, statistically significant decreases were observed in SOD and CAT activities in the oxidative stress responses of REEs on D. Polymorpha with increasing temperature, while there was no significant change in GPx activities. It was determined that there were increases in TBARS levels and decreases in GSH levels. It is thought that the temperature factor, application concentration and application time are effective in the formation of these changes. It can be said that temperature change and pollutants cause oxidative stress in organisms and cause cell damage.

  AtıfOpenAlex3·TR Dizin1

  İncele
• MakaleAçık Erişim2025/r/munzur/6194
  Artificial Intelligence Applications in the Aquaculture Industry: Sustainability, Efficiency and Innovative Solutions

  Kutlu, Banu; Utku, Esen Damla Balo

  Artificial Intelligence (AI) is becoming increasingly important to increase efficiency and sustainability by organizing processes and providing significant improvements in different sectors. AI is reshaping the aquaculture sector. AI is being used to help solve optimization problems in aquaculture, reduce costs, and find sustainable solutions. These scenarios guided the evaluation of the future role of AI in aquaculture and the benefits that AI brings to the aquaculture sector in this study. AI is improving the way fish stocks are monitored, live stocks are assessed, diseases among plants and animals are recognized, water quality is tested, and production lines are controlled. Aquaculture uses AI technologies to help detect diseases early, monitor environmental conditions affecting production, and improve both efficiency and sustainability. In addition, AI is examining and providing solutions to environmental issues such as global warming and water resource management.

  • 
  • 
  AtıfOpenAlex5

  İncele
• MakaleAçık Erişim2025/r/munzur/6146
  Enhancing water quality prediction with artificial intelligence: A hybrid convlstm model for spatio-temporal analysis

  Utku, Anıl; Kutlu, Banu; Utku, Esen Damla Balo

  Water quality plays a vital role in public health, environmental sustainability and ecosystem balance. However, industrialization, urbanization, and agricultural activities cause water pollution to increase, threatening both human health and aquatic ecosystems. Traditional water quality monitoring methods are usually time-consuming, costly, and require manual intervention. Therefore, developing automatic, data-driven, and high-accuracy prediction models is crucial for sustainable water management. This study created a hybrid ConvLSTM model to increase prediction accuracy. The created model was comparatively analyzed with RF, SVR, XGBoost, MLP, CNN, and LSTM. The dataset used includes historical measurement values of chemical pollutants. Input data includes geographical coordinates of sample points, chemical parameter type, and compliance with regulatory standards. Experimental results show that ConvLSTM provides the lowest prediction errors by learning spatial and temporal dependencies and reaches the highest accuracy rate with 0.994 R2 compared to other models.

  İncele
• MakaleAçık Erişim2025/r/munzur/6011
  The Health Effects of Fluoride and Nitrate in Drinking Water in Tunceli (Türkiye)

  Kutlu, Banu; Çetindağ, Serdar

  Fluoride (F⁻) and nitrate (NO₃⁻) are common inorganic constituents of drinking water and can cause significant public health effects when present at inadequate or excessive concentrations. This study determines the levels of fluoride and nitrate in drinking water collected from 18 stations across Tunceli Province, Türkiye, during 2021, and evaluates the non-carcinogenic health risks for four age groups (infants, children, adolescents, and adults). Fluoride and nitrate concentrations were measured using spectrophotometric methods and Estimated Daily Intake (EDI) and Hazard Quotient (HQ) values were calculated. Fluoride concentrations ranged from 0.06 to 0.31 mg L⁻¹ and were below the WHO guideline value, with all HQ values <1. Nitrate concentrations varied more widely (0.45–64.38 mg L⁻¹), and exceedances of WHO limits were recorded at several rural stations. Infants and children exhibited HQ>1 values, indicating potential health risks associated with nitrate exposure. The findings highlight spatial heterogeneity in water quality across Tunceli and emphasize the need for age-specific monitoring programs and improved groundwater protection strategies.

  • 
  • 
  AtıfOpenAlex1

  İncele
• MakaleAçık Erişim2025Scopus SJRQ1/r/munzur/1401
  Unlocking the potential of nutmeg oil: A sustainable alternative for rainbow trout anesthesia in aquaculture

  Minaz, Mert; Er, Akif; Ak, Kübra; Serdar, Osman

  In aquaculture, interest in natural anesthetic agents as alternatives to synthetic anesthetics has been steadily increasing. This is due to concerns over residue accumulation, environmental impact, and growing demand for sustainable practices. Within this context, the present study focused on the anesthetic effects of nutmeg essential oil at three different concentrations in rainbow trout (Oncorhynchus mykiss, 94.42 ± 23.9 g): low (400 µL/L), medium (600 µL/L), and high (800 µL/L). Induction and recovery times were recorded, and samples were collected at 0, 2, 4, and 8 hours post-anesthesia for antioxidant, cortisol, and hematological analyses. Additionally, gill tissues were sampled immediately after anesthesia for histological examination. While the induction time for the low concentration exceeded 3 minutes, the induction and recovery times for the other concentrations ranged within acceptable limits (3 min for induction and 5 min for recovery). Blood parameters exhibited an increasing trend until the 4th hour post-anesthesia, peaking at the 2nd hour, before returning to control levels by the 4th hour. Histological evaluation revealed healthy gill tissues in the control and low-concentration group (400 µL/L), whereas hyperplasia was observed in the medium (600 µL/L) and high-concentration (800 µL/L) groups. Antioxidant enzyme activity (superoxide dismutase (SOD), catalase (CAT), malondialdehyde (MDA), and glutathione peroxidase (GSH-Px)) indicated potential oxidative stress at the high anesthetic concentration. Similarly, cortisol levels were higher at the high concentration, with plasma cortisol showing a slight initial increase followed by a return to normal levels over time. In conclusion, this study highlights that nutmeg oil at a concentration of 600 µL/L may serve as a promising natural alternative to synthetic anesthetics in aquaculture. However, future studies should include a synthetic anesthetic as a control to allow for direct comparisons and a more comprehensive evaluation of its efficacy and physiological effects.

  AtıfScopus8·WoS7·OpenAlex7

  İncele