Sürdürülebilir Kalkınma Amaçları

  • MakaleYalnız künye2026Scopus SJRQ1
    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.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    • SDG 6 · Temiz Su ve Sanitasyon
  • MakaleAçık Erişim2026Scopus SJRQ1
    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.

  • MakaleAçık Erişim2025
    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.

    • SDG 2 · Açlığa Son
    • SDG 12 · Sorumlu Üretim ve Tüketim
    AtıfOpenAlex5
    TR Dizinİncele
  • MakaleAçık Erişim2025
    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.

  • MakaleAçık Erişim2025
    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.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    • SDG 6 · Temiz Su ve Sanitasyon
    AtıfOpenAlex1
    TR Dizinİncele
  • MakaleYalnız künye2025Scopus SJRQ3
    Assessments of heavy metal contaminations of surface water and sediment of Pülümür Stream (Türkiye)

    Kutlu, Banu; Çevik, Fatma; Çetindağ, Serdar

    The primary considerations within aquatic ecosystems are water and sediment quality, rendering it imperative to assess their concentrations, pollution levels, origins, and ecological hazards. In this study, heavy metal concentrations in surface waters and sediments of the Pülümür Stream were investigated to assess the level, distribution, source of pollution and the associated human risks. Water and sediment samples from the river were collected monthly from February 2021 to January 2022 and examined using the Inductively Coupled Plasma Mass Spectrometry (ICP– MS) technique. Metal concentrations in the sediment followed a decreasing or derivative sequence of Fe > Al > Mn > Ni > Cr > Zn > Cu > Pb > As >Cd > Hg. The ecological indices of the stream water have low degrees of contamination by heavy metals. Igeo and EF showed that most of the sites are moderately to highly polluted due to Ni, and Cr, while PLI and PERI showed a progressive deterioration of the environment at site 9. Moreover, the modified hazard quotient (mHQ) indicates low ecological risk for Cu, Pb, Zn, Cd, Hg metals, while Ni, As and Cr reach high pollution at sediment sites. Pearson correlation analysis revealed that the presence of Zn, Cu, Pb, Hg, and Mn metals in the sediment analysis has a lithogenic source, and As, Ni, Cd, and Cr accumulate due to human activities, mainly domestic and agricultural irrigation wastes and mining wastes, all of which affect the aquatic environment. According to this study, more attention should be paid to the comprehensive monitoring of metals in the water and sediment for both aquatic biota and human risk of the Pülümür River.

    • SDG 6 · Temiz Su ve Sanitasyon
    AtıfScopus6WoS5OpenAlex5
    ScopusWeb of Scienceİncele
  • MakaleYalnız künye2024
    Şerefiye (Zara-Sivas) Barajının Su Kalitesi İndekslerine Göre Değerlendirilmesi

    Mutlu, Ekrem; Kutlu, Banu

    Sivas ili Şerefiye Baraj gölünün su kalitesinin belirlenmesi üzerine yapılmış olan bu çalışma; Ocak 2014 ile Aralık 2014 tarihleri arasında 3 istasyondan aylık olarak toplanan numuneler üzerinde gerçekleştirilmiştir. 25 değişkenin incelendiği analizlerde su kalitesi, Dünya Sağlık Örgütü içme suyu standartları, su kalite indeksi (WQI), sodyum absorbsiyon oranı (SAR), sodyum yüzdesi, geçirgenlik indeksi (PI), magnezyum indeksi, sulama indeksi ve Türkiye Cumhuriyeti Yüzey Suyu Kalitesi Yönetmeliği (SWQR) Orman ve Su İşleri Daire Başkanlığı değerlerine göre belirlenmiştir. Barajdaki su kalite indeksinin ortalama değeri 46,82, sulama suyu değerleri ortalama 3,90 olarak bulunmuştur. Burada elde edilen sonuçlar Şerefiye Barajı'nın su kalite indeksi ve sulama suyu kalitesi açısından "çok iyi" sınıfta olduğunu göstermiştir.

    • SDG 2 · Açlığa Son
    • SDG 6 · Temiz Su ve Sanitasyon
    AtıfOpenAlex4TR Dizin5
    TR Dizinİncele
  • MakaleAçık Erişim2023Scopus SJRQ4
    The Assessment of Health Risk from Heavy Metals with Water Indices for Irrigation and the Portability of Munzur Stream: A Case Study of the Ovaclk Area (Ramsar Site), Türkiye

    Kutlu, Banu; Sarlgül, Ali

    Surface water samples from the area of Munzur Stream in Türkiye (a Ramsar site) were evaluated for their suitability for irrigation and drinking purposes using different water quality indices. The human health risks were assessed as well. The study was conducted over a period of 24 months from January 2019 to December 2021 by taking samples from nine stations every month in order to determine the water quality of Munzur Stream, located in Tunceli. According to the results, Munzur Stream is in good condition in terms of the quality of drinking water and irrigation water. The concentrations of heavy metals such as Cu, Ni, Fe and Hg were high, though the water quality parameter according to Türkiye Ministry of Forestry and Water Affairs Surface Water Quality Regulations (TSWQR) was significantly lower than the permitted limits. In Munzur Stream, the irrigation water for all stations was reported to be excellent, good and suitable in terms of SAR, Na% and MH, respectively. The principal component analysis data formed the four principal components, explaining 98.22% of the total variance. The sources of pollution in this area include the rock types of the basin, soil erosion, domestic waste water discharge and agricultural flow of inorganic fertilisers.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    • SDG 6 · Temiz Su ve Sanitasyon
    AtıfWoS1OpenAlex3
    ScopusWeb of Scienceİncele
  • MakaleYayıncıda açık erişim2023Scopus SJRQ3
    Contamination and Ecological Risk Assessment of Heavy Metals in Surface Sediments of the Munzur Stream, Turkey

    Kutlu, Banu

    The aim of the present study is to determine the heavy metal concentrations in the surface sediment between 2019-2020 in Munzur Stream,Turkey. The impact of pollution level in the study area was evaluated by geoaccumulation index (Igeo), Contamination Factor (CF), enrichment factor (EF), pollution ecological risk (PER) index, and pollution load index (PLI). The average amount of heavy metals detected in sediment in the study in mg/kg was, in descending order, Fe>Al>Mn>Ni>Cr>Zn >Cu>Pb>Cd>Hg. The data evaluated by several statistical methods indicated that the metals with a positive relationship between them in the Pearson correlation analysis and the elements of the same factor in the factor analysis were mostly the same. The comparison of the results with the sediment quality criteria showed that only the mean value of Mn and Ni exceeded the values of PEL. Heavy metal levels in Munzur Stream sediment exposed to domestic and agricultural wastes, agricultural fertilizers and pesticides, and mines were not high enough to pose a threat to aquatic life.

    • SDG 6 · Temiz Su ve Sanitasyon
    AtıfScopus9WoS8OpenAlex11
    ScopusWeb of Scienceİncele
  • MakaleYalnız künye2023Scopus SJRQ2
    Microplastic pollution in two remote rivers of Türkiye

    Gündoğdu, Sedat; Kutlu, Banu; Özcan, Tahir; Büyükdeveci, Ferhat; Blettler, Martin C. M.

    Microplastic pollution in aquatic ecosystems presents an emerging environmental threat that can have adverse effects on ecology, endanger aquatic species, and result in economic damage. Despite the numerous studies reporting the presence of microplastics in marine environments, research into their presence in freshwater systems or inland waters remains limited. This study aimed to assess the level of microplastic pollution transported by the Munzur and Pülümür Rivers and some small rivers that flow into the Uzunçayır dam lake, which is the confluence of the Munzur and Pülümür Rivers in Türkiye. Samples were collected from 23 stations, with the concentration of microplastics ranging from 0.01 MP/m3 at P-4 station to 28.21 MP/m3 at P-10, a station located near a city. Microplastics comprise four types: fiber, film, fragment, and glitter. The average size of microplastics was 1.46 ± 0.05 mm, with the average size of fibers, films, fragments, and glitter-type microplastics being 1.58 ± 0.07 mm, 1.23 ± 0.10 mm, 1.21 ± 0.11 mm, and 0.78 ± 0.16 mm, respectively. The most frequent polymers were polyethylene (31.8%), polystyrene (21.1%), and polypropylene (10.5%). Despite being considered remote and less populated rivers compared to other river systems in Türkiye, all sampling sites showed varying concentrations of microplastics.

    • SDG 6 · Temiz Su ve Sanitasyon
    AtıfScopus34OpenAlex37
    ScopusWeb of SciencePubMedİncele
  • MakaleYalnız künye2023Scopus SJRQ2
    Deep learning based an effective hybrid model for water quality assessment

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

    Water, which is very important for life and civilizations on Earth, has been a source of life for all living things. However, freshwater resources gradually decrease due to climate change, pollution, and population growth. Water pollution is the quality changes that occur due to various activities of people, change the chemical, biological, and physical properties of water, restrict or prevent its use, and disrupt ecological balances. The water quality criteria determined to keep this pollution under control ensure the safe use of water. Water quality observations have gained more importance today due to intense environmental concerns and water pollution. This situation revealed the necessity of water quality assessment for water source use. In this study, the CNN-LSTM-based hybrid model was proposed to assess water quality. The proposed model was compared with AdaBoost, DT, GNB, kNN, LGBM, RF, and LSTM according to accuracy, precision, recall, F-score, and AUC. The proposed model has 98.81% accuracy, 99.03% precision, 99.65% recall, 99.33% F-score, and 93% AUC. Practitioner Points: CNN-LSTM hybrid model was developed to water quality assessment. The proposed model is compared with established techniques like AdaBoost, DT, GNB, kNN, LGBM, RF, and LSTM. The developed model has 98.81% classification accuracy. Experimental results show that the developed model will ensure the use of safe water according to water quality criteria.

    • SDG 6 · Temiz Su ve Sanitasyon
    AtıfScopus7WoS4OpenAlex8
    ScopusWeb of SciencePubMedİncele
  • MakaleAçık Erişim2022
    Tunceli İli Munzur ve Pülümür Çayı Kent Plajlarının Mikrobiyolojik Kalitesinin Değerlendirilmesi ve Halk Sağlığı Riskleri

    Kutlu, Banu; Çetindağ, Serdar

    Tunceli ili Munzur ve Pülümür çayı üzerindeki plajlarının 2019 yılı yaz sezonu boyunca çay suların numunelerinin mikrobiyolojik analiz sonuçları fekal indikakatör bakteri açısından uygunluğu değerlendirilmesi ve bu plajların yüzme suyu kalitesinin ortaya konulması amaçlanmıştır. Çalışma 2019 yılında Haziran- Eylül ayları arasında Tunceli ili Pülümür ve Munzur Çayları üzerinde 10 numune alma noktasından numunelerinin mikrobiyolojik sonuçları dâhil edilerek veriler yüzme suyu kalitesi yönetmeliğine göre değerlendirilmiştir. Fekal streptokok, toplam koliform, fekal koliform bakteri analize göre en yüksek Ağustos ayı, en düşük ise Mayıs, Temmuz ayında tespit edilmiştir. Pülümür ve Munzur Çayı üzerindeki plajlardan alınan tüm numune noktalarındaki yüzme suyu kalite sınıfının B sınıfı olduğu belirlenmiştir. İlk defa iç sularda uygulanan yüzme suyu ilgili yönetmenliğim zorunlu değeri aşan veri olmadığı tespit edilmiştir. Esinti, Halbori, Kavacık, Kutu deresi, Anahita plajları yüzme için en tüm zamanlarda elverişli yüzme alanlarıdır. Elde edilen sonuçlara göre Tunceli kent plajları mikrobiyal parametreler açısından kirli olmadığı belirlenmiştir. Fakat bu çalışmada Munzur Çayı ve Pülümür çayı havzasındaki mikrobiyal yükü azaltmak için uygun yöntemler kullanılarak düzenli izleme ve değerlendirme yapılması önerilmektedir.

  • MakaleYalnız künye2021
    EFFECTS OF HEAVY METAL ON Tetraselmis chuii

    Kutlu, Banu; Dorucu, Mustafa

    We determined the toxic effects of seven metals. copper (Cu), manganese (Mn). zinc (Zn), cobalt (Co). molybdate (Mo), lead (Pb), and cadmium (Cd) on the microalgae Tefraselmis chuii (Butcher, 1959). We exposed 50 mL of cultivated microalgae (f/2 Gaillard) in the exponential growth phase. with three replicates, to concentrations of 0 (control). 0.1, 1.0, 5.0, 10, 25. and 50 g L of each metal for 72 hours. The cellular count was recorded daily to evaluate any potential lethal effects. An increase in cellular density was seen in the control treatment. All treatments exposed to metals showed a logarithmic increase in cell density within 48 hours, with a cellular decrease that became evident later on. This study result with an insignificant decrease at low concentrations of Cd, Pb, and Cu at 24 hour was probably attributed to their use as micronutrients at these low concentrations. The most lethal effect was observed with Cd treatment, which killed 50% of the microalgae population at a concentration of 0.62 mu g L-1. In this study, this concentration was three times lower than that of lead and mercury. while being ten times lower than that of cobalt and molybdate. To elucidate the adverse effects on seawater environments, the microalgae Tetraselmis chuii is recommended as a model species.

    AtıfWoS3
    Web of Scienceİncele
  • MakaleYalnız künye2021
    DISSEMINATION OF HEAVY METAL CONTAMINATION IN SURFACE SEDIMENTS OF BATLAMA STREAM, GIRESUN, TURKEY

    Ustaoğlu, Fikret; Kutlu, Banu; Tepe, Yalçın; Aydin, Handan

    The aim of this study is to detect the heavy metal contamination in the sediment of Batlama Stream and to evaluate the anthropogenic effect. Field studies were seasonally carried out in 3 stations between June 2014 and July 2015. In the sampling studies carried out in Batlama Stream, contamination factor (CF), enrichment factor (EF), potential ecological risk factor (Eri), lowest effect level (LEL), geoaccumulation index (Igeo) contamination indicators were used in order to evaluate sediment contamination. In Batlama Stream, average heavy metal level of three stations was detected in mg/dry kg in the sediment as Cr 7.08, Mn 63.62, Fe 858.04, Co 5.47, Ni 4.99, Cu 20.61, Zn 49.60, Cd 0.09, and Pb 20.68. Elements which the sediment has most are Fe, Mn, and Zn. According to EF, Pb was detected as an enriching element. Eri Pb is in the low risk group. In LEL value, the highest Pb average was found as 31. According to Igeo values, Pb is a moderate contaminant. This metal has anthropogenic sources and it is caused by domestic, agricultural, and waste waters. In the elements analysed in Batlama Stream sediment (apart from Pb), it is indicated that it is generally a clean stream and considered reference stream.

    AtıfScopus3
    Scopusİncele
  • MakaleAçık Erişim2021Scopus SJRQ3
    Analysis of heavy metal contamination in surface sediments of Iskenderun Bay, Turkey

    Kutlu, Banu; Özcan, Tahir; Özcan, Gülnaz

    The ecological risk resulting from the accumulation of some heavy metals in the sediments of Iskenderun Bay was assessed using the following measures: enrichment and contamination factor, pollution load index (PLI), and potential ecological risk index (RI). The concentrations of the studied heavy metals were in the following order: Fe > Ni > Mn > Cr > Zn > Cu > As > Pb > Cd > Hg. Ni and As had the highest EF values. This situation is most likely due to the presence of iron, pesticide, and fertilizer plants in the region. According to the United States Environmental Protection Agency, Ni, As, Mn, and Cr may have harmful effects on faunal communities in sediments. According to the RI, Site 4 was more contaminated and toxic than the other seven study sites, with "moderate"ecological risk. Pearson's correlation coefficient was determined by multivariate methods - cluster and principal component analysis. As can be inferred from the RI values, the potential toxic effect of As and Ni in the sediments is moderate.

    • SDG 6 · Temiz Su ve Sanitasyon
    • SDG 15 · Karasal Yaşam
    AtıfScopus7OpenAlex6
    Scopusİncele
  • MakaleYalnız künye2021
    Multivariate statistical evaluation of dissolved trace elements and water quality assessment in the Karaca dam, Turkey

    Kutlu, Banu; Mutlu, Ekrem

    This study was performed from January 2017 to December 2017 with taking samples every month from four stations to determine the water quality of Ka-raca Dam, located in Sinop. The guidelines of the World Health Organization for water quality index (WQI) and Turkey’s Ministry of Forestry and Water Affairs specifications for Surface Water Quality Regulations (SWQR) were used in the determination of water quality and 28 variables were analyzed. The quality of the irrigation water was also calculated. This objective, the sodium adsorption ratio (SAR), sodium percentage, permeability index (PI), and mag-nesium index were calculated. The average WQI value of the lake was found to be 19.23. It was observed that the water quality parameters did not exceed the restrictions in any stations during the period. According to the results of the research, Karaca Dam is in a good class in terms of drinking water quality and irrigation water. The health risk evaluation, using the hazard ratio and index (HI), was carried out as suggested by USEPA, and it was found that the water of Karaca Dam is not harmful to human health in terms of Pb, Cd, and Hg.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    • SDG 6 · Temiz Su ve Sanitasyon
    AtıfScopus7WoS7OpenAlex9
    ScopusWeb of Scienceİncele
  • MakaleYalnız künye2020Scopus SJRQ2
    Assessment of impact of α-Fe2O3 and γ-Fe2O3 nanoparticles on phytoplankton species Selenastrum capricornutum and Nannochloropsis oculata

    Ates, Mehmet; Cimen, Isil C. C.; Unal, Ilkay; Kutlu, Banu; Ertit Tastan, Burcu; Danabas, Durali; Aksu, Onder; Arslan, Zikri

    In this study, the impact of alpha-iron oxide (α-Fe2O3, 20-40 nm) and gamma iron oxide (γ-Fe2O3, 20-40 nm) nanoparticles (NPs) on phytoplankton species Selenastrum capricornutum and Nannochloropsis oculata was investigated Characterizations of the NPs were systematically carried out by TEM, dynamic light scattering, zeta potential, X-ray diffraction, SEM, and Fourier transformation infrared spectroscopy. Acute toxicity was tested between 0.2 and 50 mg/L for each NP for a period of 72 hours exposure. γ-Fe2O3 NP inhibited development of N oculata at the rate of 54% in 0.2 mg/L group with a high mortality rate of up to 82%. α-Fe2O3 NPs were less toxic that induced 97% mortality on N oculata at 10 mg/L suspensions. In contrast, α-Fe2O3 NP inhibited growth of S capricornutum strongly (73%) in 0.2 mg/L group. γ-Fe2O3 NPs showed similar growth inhibition (72%) on S capricornutum in 10 mg/L suspensions. Despite the differential effects, the results indicated acute toxicity of α-Fe2O3 and γ-Fe2O3 NPs on N oculata and S capricornutum.

    AtıfScopus27WoS20OpenAlex25
    ScopusWeb of SciencePubMedİncele
  • MakaleYalnız künye2020Scopus SJRQ2
    Assessment of Oxidative Stress on Artemia salina and Daphnia magna After Exposure to Zn and ZnO Nanoparticles

    Ates, Mehmet; Danabas, Durali; Ertit Tastan, Burcu; Unal, Ilkay; Cicek Cimen, Isil Canan; Aksu, Onder; Kutlu, Banu; Arslan, Zikri

    In this study, the effect of zinc nanoparticles (Zn NPs) and zinc oxide nanoparticles (ZnO NPs) on Artemia salina and Daphnia magna, the primary consumer organisms were investigated. In this sense, investigation of trophic transfer and ecological sustainability potentials among living things, such as fish and crustaceans that are at the top of the food chain were also aimed. Zn NPs in the size of 40–60 nm and 80–100 nm and ZnO NPs (10–30 nm) were administered to A. salina and D. manga (respectively in total 105000 and 14000 individuals) in seven groups (Control, 0.2, 1, 5, 10, 25 ve 50 ppm) with three repetitions for a period of 72 h. Intensive and possible misuse of nanoscale materials is one of the biggest threats to the environment and all living things worldwide. Therefore, the control mechanisms for the use of NPs need to be established.

    AtıfScopus29WoS19OpenAlex32
    ScopusWeb of SciencePubMedİncele
  • MakaleYalnız künye2020Scopus SJRQ2
    An Evaluation Research About Effects of Characterized Cadmium Selenide (CdSe) and Lead Selenide (PbSe) Quantum Dots on Brine Shrimp (Artemia salina)

    Ates, Mehmet; Tastan, Burcu Ertit; Danabas, Durali; Cicek-Cimen, Isil Canan; Aksu, Onder; Kutlu, Banu; Unal, Ilkay; Arslan, Zikri

    Quantum dots (QDs), such as cadmium selenide (CdSe) and lead selenide (PbSe) exhibit excellent optical, magnetic and chemical properties due to their extremely size (ca. 1–10 nm) and are attractive semiconductor nanomaterials for optical studies and energy storage. In this study, aqueous synthesis of CdSe and PbSe QDs in a size range of 2–10 nm was described. Synthesized QDs were characterized using SEM and TEM, DLS, zeta potential, FTIR, EDX and XRD. Highest accumulation (72.5 ± 5.8 mg L−1) of PbSe QDs occurred at 10 ppm suspensions. In general accumulation increased up to 48 h exposure then fluctuate tended to decline. For CdSe QDs, accumulation tended to decrease for 72 h exposure except that for 5 ppm groups. For the elimination period, in general, the elimination levels of PbSe and CdSe QDs from exposed individuals decreased (p < 0.05) even it has some fluctuate.

    • SDG 6 · Temiz Su ve Sanitasyon
    AtıfScopus6WoS4OpenAlex5
    ScopusWeb of SciencePubMedİncele
  • MakaleYalnız künye2020Scopus SJRQ4
    Occurrence of the freshwater jellyfish Craspedacusta sowerbii Lankester, 1800 from Uzunçayır dam lake (Tunceli), Turkey

    Kutlu, Banu

    In this study, Craspedacusta sowerbii Lankester, 1880 a jellyfish species belonging to freshwater hydrozoan group, was reported for the first time in the field study carried out at Uzunçayır dam lake in Tunceli province on 15 September 2018. The plankton samples were obtained from two different regions of the lake using UNESCO WP2 plankton net with mesh size of 200 µm. C. sowerbii, one of the fresh water hydrozoans obtained from plankton samples, is rarely observed in man-made lakes, ponds, and reservoirs, and has not been observed earlier in the Uzunçayır dam lake. The C. sowerbii might have placed in the lake through some fishing activities which were conducted from 2010 to 2017 and/or through some sport equipment's (i.e. boat, jetski, were brought to the region for recreational purposes).

    AtıfScopus2
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