Yazarlar
- Altuner, Elif Esra(4)
- Kaybal, Halil Burak(2)
- Sen, Fatih(2)
- Ulus, Hasan(2)
- Aldemir, Ozan(1)
- Aldoori, Bakr(1)
- Ali Dar, Umar(1)
- Beniz Gunduz, S.(1)
- Dar, Umar Ali(1)
- Esra Altuner, Elif(1)
- Mohammadi, Samira(1)
- Mollaamin, Fatemeh(1)
- Monajjemi, Majid(1)
- Nur Tatli, Havva(1)
- Rahpayma, Mersedeh(1)
- Sahin, Mustafa(1)
- Shahverdy, Yasamin(1)
- Tatli, Havva Nur(1)
- Özcan, Özsel(1)
Yayınlar
- MakaleAçık Erişim2026Scopus SJRQ4Designing Microbial Fuel Cells (MFCs) Including Geothrix fermentans and Gluconobacter oxydans Bacteria: Invistegation with Numerical Analysis
Monajjemi, Majid; Mollaamin, Fatemeh; Mohammadi, Samira; Shahverdy, Yasamin; Rahpayma, Mersedeh
In this work, we exhibited the effect of temperature and also cell dimensions on the microbial fuel cells (MFCs) efficiency according to our experimental data. In other words, microbial fuel cells (MFCs) are emerging as promising technologies for applications such as electricity generation. Electroactive (EA) biofilms formed by microorganisms play a central role in bioelectrochemical systems through microbially mediated electrocatalytic reactions. In this study, industrial wastewater containing Geothrix fermentans and Gluconobacter oxydans was evaluated for power generation in MFCs. The effects of temperature, reactor configuration, chamber dimensions, and the distance between anodic and cathodic electrodes on electrical output were systematically investigated. Statistical analyses, including descriptive statistics, correlation, and regression, were performed using SPSS to predict average voltage from the derived regression model. A two-dimensional model was further employed to analyze ionic transport, the distribution of electronic current density, and local reaction rates in both anodic and cathodic chambers. Two types of bacteria were examined: the anaerobic Geothrix fermentans, known for its ability to utilize Fe(III) and other high-potential metals as electron acceptors, and the aerobic Gluconobacter oxydans, tested in a miniature MFC (mini-MFC) system. The results indicated that the aerobic mini-MFC achieved a lower maximum power output than the anaerobic system. Additionally, numerical fitting was performed for MFCs operating under varying temperatures and chamber dimensions. The numerical results showed strong agreement with experimental data, confirming the validity of the proposed model.
- Kitap BölümüYalnız künye2025Scopus SJRQ4Waste Dye Removal with Nanotechnological Methods: Photocatalytic Processes
Altuner, Elif Esra; Tatli, Havva Nur; Aldoori, Bakr; Dar, Umar Ali
This chapter discusses how photocatalytic processes using nanotechnology can counteract the harm done to the environment by waste dyestuffs from industry combining with water, soil, and the environment. When waste dyestuffs from the business mingle with soil and drinking water, they pose a serious hazard to life. For this reason, it is of great importance to remove and neutralize waste dyes with the photocatalyst effect of sunlight and the synergistic effect of nanocatalysts synthesized through nanotechnological means. The photocatalysis process is both environmentally friendly and of great importance to living things. This chapter is also informative about photocatalysis research carried out by nanoparticles under the influence of sunlight.
AtıfScopus2OpenAlex1
İncele - Kitap BölümüYalnız künye2025Understanding Water Scarcity: The Role of AI in Sustainable Solutions
Altuner, Elif Esra; Kaybal, Halil Burak; Ulus, Hasan; Sen, Fatih
Water scarcity is a critical global challenge, driven by factors such as climate change, urbanization, population growth, and inefficient water management. As water resources become increasingly strained, the consequences extend beyond physical shortages, impacting agriculture, public health, economic stability, and ecosystems. These cascading effects make water scarcity one of the most pressing issues of the 21st century, requiring urgent and innovative solutions. Traditional water management approaches, while valuable, are proving inadequate in addressing the growing complexities of water distribution and conservation. As a result, there is an urgent need to explore advanced technologies that can enhance efficiency and sustainability in water resource management. Artificial intelligence (AI) has emerged as a transformative tool in tackling water scarcity. AI-powered systems provide innovative solutions by enabling predictive drought modeling, real-time groundwater monitoring, and optimized irrigation practices. These applications enhance water use efficiency, minimize losses, and ensure that limited resources are distributed effectively. This chapter emphasizes the need for interdisciplinary collaboration among experts, policymakers, and local stakeholders to develop sustainable solutions. By leveraging AI alongside holistic water management strategies, we can work toward a future where water resources are preserved, efficiently utilized, and equitably distributed, ensuring long-term sustainability for future generations.
AtıfScopus1İncele - Kitap BölümüYalnız künye2025Advanced Dynamic Water Quality Assessment Using Machine Learning Algorithms
Altuner, Elif Esra; Ulus, Hasan; Kaybal, Halil Burak; Sen, Fatih
This chapter explores the integration of nanotechnology and machine learning (ML) to address global water quality challenges. The deterioration of water resources due to pollution, climate change, and increasing industrial and agricultural activities has created a pressing need for advanced monitoring and remediation techniques. Traditional water purification and monitoring methods often fail to provide real-time, cost-effective, and scalable solutions. In this context, nanotechnology and ML offer a transformative approach to water quality management by enhancing detection, prediction, and remediation processes. Nanotechnology provides innovative solutions through advanced nanosensors, nanocomposite membranes, and catalytic nanomaterials. These materials have superior properties such as high surface area, reactivity, and selectivity, making them ideal for detecting and removing contaminants from water systems. Nanosensors, for instance, enable real-time monitoring by detecting pollutants at extremely low concentrations, offering rapid response and high sensitivity. Nanocomposite membranes, on the other hand, improve filtration efficiency by selectively removing heavy metals, pathogens, and organic pollutants while maintaining high water flux. Furthermore, catalytic nanomaterials, including metal and metal oxide nanoparticles, facilitate the breakdown of persistent contaminants through advanced oxidation processes, ensuring cleaner water. ML complements these advancements by enabling predictive analytics, anomaly detection, and process optimization. ML algorithms can analyze vast datasets generated by nanosensors, identifying patterns and trends in water quality changes. This predictive capability allows for early warning systems that help mitigate pollution before it reaches critical levels. Moreover, ML techniques, including deep learning and neural networks, enhance decision-making by optimizing treatment plant operations, reducing energy consumption, and improving water resource allocation. By integrating historical data, ML models can also forecast future contamination events, assisting policymakers and water management authorities in proactive planning. The synergy between nanotechnology and ML facilitates dynamic environmental monitoring, enabling real-time adjustments to water treatment processes. This integration provides scalable and sustainable solutions to water scarcity and pollution, making it especially beneficial for regions facing severe water stress. For example, intelligent filtration systems embedded with nanosensors and ML algorithms can autonomously adjust their parameters based on real-time contaminant levels, improving overall efficiency. Additionally, developing smart water grids—where nanotechnology-based sensors continuously feed data into ML-driven platforms—ensures optimal distribution and quality control. Despite these promising applications, several challenges must be addressed to maximize the potential of nanotechnology–ML integration in water quality management. Sensor stability and durability remain key concerns, as environmental conditions can affect sensor performance over time. Data management is another critical issue; the large volumes of data generated require robust storage, processing, and interpretation frameworks. Moreover, the environmental and health impacts of nanomaterials need thorough investigation to ensure safe and sustainable use. Regulatory frameworks and ethical considerations must also be established to govern the responsible deployment of these technologies. In this chapter, the combination of nanotechnology and ML offers a groundbreaking approach to water quality management. By leveraging their complementary strengths, these technologies enable advanced detection, predictive analytics, and efficient pollutant removal, addressing global water challenges with unprecedented precision. This chapter underscores the transformative potential of this interdisciplinary approach, highlighting emerging trends, opportunities, and future research directions. As advancements continue, the integration of nanotechnology and ML is poised to revolutionize water treatment and conservation efforts, contributing to sustainable water management on a global scale.
AtıfScopus1OpenAlex1İncele - MakaleYalnız künye2025Scopus SJRQ2Synthesis, characterisation and photocatalytic activation of zinc nanoparticles via. biogenic methods
Altuner, Elif Esra
Zinc nanoparticles (ZnNPs) were synthesised using a biogenic method from Hypericum calycinum leaves and characterised by UV-Vis spectroscopy, FTIR, TEM, and XRD to assess their optical, structural, and morphological properties. The ZnNPs exhibited absorbance peaks at 274 nm and 370 nm, with an average particle size of 29.066 ± 10.561 nm and a crystalline size of 16 nm. Their photocatalytic efficiency was evaluated by degrading methylene blue (MB) dye under sunlight, achieving 70% degradation in 150 minutes. This study represents the first use of H. calycinum for ZnNP synthesis and demonstrates their potential for photocatalytic dye removal and wastewater treatment applications.
AtıfScopus9OpenAlex7İncele - MakaleYalnız künye2024Scopus SJRQ2Fluorimetric methods for determination of aluminum in water resources utilizing newly synthesized N,N'-bis(2,5-dihydroxybenzylidene)-4,4′-diamino diphenyl ether
Nur Tatli, Havva; Beniz Gunduz, S.; Sahin, Mustafa; Esra Altuner, Elif; Ali Dar, Umar
Industrial waste contaimnation of water sources is a serious environmental problem. As a result, it's critical to identify metallic contamination in water with precision, sensitivity, and accuracy. In acetonitrile, the fluorimetric parameters of N,N-'bis(2,5-dihydroxybenzylidene)-4,4′-diamino diphenyl ether (DHDPE) and aluminum complex were determined. In the acetonitrile medium, the best fluorescence intensity of the DHDPE-Al complex was observed at λex = 280 nm, λem = 391 nm (excitation and emission wavelengths). For optimum complex formation, the ideal pH, duration, and temperature were 4.5, 20 min, and 25 °C, respectively. Within the ranges of 0.027–0.27 and 0.27–2.70 ppm aluminum concentrations, [Al3+]-F.I. Calibration graphs were linear. The fluorimetric aluminum measurement method was applied to diverse water sources using the newly synthesized macro molecular Schiff base DHDPE as the ligand. The aluminum concentration in water inflow to KOSKI (Konya Water and Sewerage Administration) was doubled as a result of the examination when compared to other samples of water.
AtıfScopus6WoS2OpenAlex5
İncele - Derleme MakaleAçık Erişim2022Aluminium and fluorine in drinking water as risk factors for human health
Özcan, Özsel; Aldemir, Ozan
Drinking water potentially affects a variety of diseases, and their relationship to environmental risk factors is an emerging area that still needs to be clarified. Studies have reported that aluminum and fluoride, elements naturally found in water, have an adverse effect on human health with increasing concentration in drinking water, which is affected by environmental aspects. High aluminum levels in drinking water can cause dementia. Many studies have found an association between the amount of aluminum in drinking water and an increased risk of Alzheimer's. The absorption of aluminum and fluoride is thought to have a positive relationship and together have greater bioavailability. The health effects of aluminum and fluoride can vary depending on the source of the water, the duration of exposure, and the body's detox system. It is crucial to control the content of drinking water in order for humans' vital activities to be healthy. In this review, the general properties and interactions of aluminum and fluoride, which are important for human health, will be discussed. Considering the important toxic effects of these chemicals, the relationship between diseases and health problems will be evaluated.
AtıfOpenAlex2
İncele
