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- DüzeltmeAçık Erişim2026Scopus SJRQ2Retraction Note: Synthesis of Bimetallic Nickel-Cobalt Nanoparticles Supported by Functional Multi-Walled Carbon Nanotubes by Chemical Methods: Characterization and Hydrogen Energy Generation (Topics in Catalysis, (2024), 67, 9-12, (606-614), 10.1007/s11244-024-01907-x)
Zare, Najmeh; Karimi, Fatemeh; Altuner, Elif Esra; Mashkoor, Hussein; Tiri, Rima Nour Elhouda; Gulbagca, Fulya; Bijad, Majede; Cherif, Ali; Sen, Fatih
The Editors-in-Chief have retracted this article because of errors and inconsistencies which raise concerns regarding the validity of the research reported in this work. A review conducted by the journal found that: The turnover frequency reported in the section entitled Catalytic Studies of Hydrogen Production was incorrectly calculated; There is no conclusive evidence that bimetallic Nickel-Cobalt nanoparticles associated with carbon nanotubes were synthesized, as the reported XRD pattern and TEM micrographs don’t support this result. Furthermore, the description of the synthesis procedure was considered to be lacking in substance; The differences between the average sizes of nanoparticles is not adequately explained. The authors were asked to comment on these concerns, but their explanation was deemed unsatisfactory. The Editors-in-Chief no longer have confidence in the research presented in this article. The authors disagree with this retraction.
- MakaleYalnız künye2025Scopus SJRQ3Synthesis and Characterization of Iron-Cobalt@Activated Carbon Nanoparticles for Electrochemical Sensing of Dopamine Neurotransmitters
Altuner, Elif Esra; Janabi, Muhammad Yousif Ali Al; Sen, Fatih; Dar, Umar Ali
Activated carbon-supported FeCo@AC nanoparticles (FeCo@ACNPs) were synthesized for catalytic activity and extend shelf life by incorporating bimetallic iron-cobalt nanoparticles (FeCoNPs). The synthesized nanoparticles were characterized using fourier-transform infrared spectroscopy (FTIR), transmission electron microscopy (TEM), and X-ray diffraction (XRD) to elucidate their structural and morphological properties. FTIR analysis confirmed the presence of metal nanoparticles with characteristic peaks at 590–612 cm⁻¹. TEM analysis revealed an average nanoparticle size of 10.71 ± 3.52 nm, while XRD results indicated crystalline dimensions of 7.2 nm. FeCo@ACNPs were further modified onto a glassy carbon electrode, and their sensor activity was evaluated for dopamine detection in the linear range of 0.1–1 mM. The study determined a limit of detection (LOD) of 0.65 µM and a limit of quantification (LOQ) of 1.97 nM. These findings not only reinforce previous studies on dopamine sensing but also provide valuable understanding of dopamine sensing and highlight its potential for health applications, particularly in diagnosing neurological disorders like Parkinson’s disease by monitoring dopamine levels.
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İncele - MakaleYalnız künye2025Scopus SJRQ3Thermodynamic and Kinetic Performance of Highly Efficient ZnO/Co@f-MWCNT Catalysts for Hydrogen Production
Mashkoor, Hussein; Gulbagca, Fulya; Tiri, Rima Nour Elhouda; Altuner, Elif Esra; Halvaci, Ebru; Bennini, Nihed; Doner, Nimeti; Sen, Fatih
The use of catalysts is one of the most important parameters in producing hydrogen energy. Zinc-oxide/cobalt nanoparticles were synthesized by chemical methods and doped on f-MWCNT (ZnO/Co@f-MWCNT NPs) as a supporting material. Various characterization techniques were used to examine the structural and morphological properties of the synthesized nanoparticles (ZnO/Co@f-MWCNT NPs). According to the XRD characterization results, the average crystal particle size of NPs was calculated as 2.10 nm, and according to TEM analysis, the average particle size was calculated to be 2.24 ± 0.5 nm. The catalytic activity of ZnO/Co@f-MWCNT NPs toward hydrogen production was determined using NaBH4 as the hydrogen source. Studies were carried out on how the catalytic activity of ZnO/Co@f-MWCNT NPs would vary in different parameters. The average reusability performance achieved after 4 cycles for hydrogen production is 89%. Turnover frequency (TOF) according to catalytic activity, activation energy (Ea), enthalpy (∆H), and entropy (∆S) were found to be 2467.4 min−1, 16.36 kj/mol, 13.79 kj/mol and -122.8 J/mol.K, respectively. This study provides guidance for hydrogen production, and other energy studies, and supporting agents in the future.
AtıfScopus2OpenAlex1İncele - Kitap BölümüYalnız künye2025Porphyrin composite materials analysis, design, manufacturing and production
Altuner, Elif Esra; Sen, Fatih; Dar, Umar Ali
This chapter explains the analysis, design, and production of porphyrin-induced derivatives with reference to the relevant sources. Porphyrin has a colorful structure by altering the position of these rings, porphyrin derivatives can be formed, and metals can be included in complex structures. The analysis of porphyrin is conducted under three main headings volta metric analysis, spectro photometric analysis, and HPLC analysis. Chlorines and bacterioclorines, n-substituted por-phytes, aza porphytes, ftalocyanins, and purpurines are analogs of porphyrins. The production of porphyrin varies based on synthesis methods. These differences arise from aldehydes and ketones, and dipiromethan A2BC tetra-substituted por-phyrin, trans-substituted porphyrin synthesis, and symmetrical meso-substituted synthesis methods have been discussed.
- Kitap BölümüYalnız künye2025Advanced characterization methods and characterization types for porphyrins
Altuner, Elif Esra; Sen, Fatih; Dar, Umar Ali
This chapter delves into the comprehensive structural descriptions of porphyrins, focusing on their physico-chemical features. The chapter offers a comprehensive description of the numerous analytical techniques used in the characterization and methodologies for structural determination. This encompasses NMR (H-NMR and C-NMR), Raman, and UV-Vis. TEM, AFM, and DLS were utilized to examine their topography and morphology. Every characterization technique is thoroughly described, with each component highlighted in separate sections.
- MakaleAçık Erişim2025Scopus SJRQ2Cobalt Nanoparticles Supported Active Carbon from Chitosan Biopolymer Using Thermal Method: Synthesis, Characterization, and Hydrogen Production
Darabi, Rozhin; Karimi-Maleh, Hassan; Altuner, Elif Esra; Gulbagca, Fulya; Tiri, Rima Nour Elhouda; Chinnathambi, Arunachalam; Brindhadevi, Kathirvel; Halvaci, Ebru; Sen, Fatih
Activated carbon based Cobalt nanoparticles (Co@AC NPs), considered in the context of hydrogen energy, which is a renewable and sustainable energy, were synthesized by the hydrothermal method, and their catalytic activities were tested. For this, hydrogen production tests were carried out with the help of sodium borohydride (NaBH4) methanolysis of Co@AC NPs synthesized by the thermal method. Ultraviolet–visible spectroscopy (UV–Vis), Fourier transmission spectroscopy (FTIR), transmission electron microscopy (TEM), and X-ray diffraction (XRD) characterization tests were performed. According to the TEM characterization result, it has been observed that the NPs have a spherical shape and an average size of 2.52 ± 0.92 nm. Then, using the catalytic studies, it was observed that hydrogen production’s reusability is found to be 86%. The activation energy (Ea), enthalpy (∆H), and entropy (∆S) values were found to be 20.28 kJ⋅mol−1, 17.74 kJ⋅mol−1, and −125.97 J⋅mol−1 K−1, respectively. The obtained values have yielded excellent results and guide future sustainable and renewable hydrogen energy studies by reducing costs, ensuring environmental sustainability by avoiding the formation of undesirable by-products, and producing hydrogen from NaBH4 through its high catalytic properties.
AtıfScopus5WoS4OpenAlex4İncele - 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 - DüzeltmeYayıncıda açık erişim2025Scopus SJRQ2Correction to: Cobalt Nanoparticles Supported Active Carbon from Chitosan Biopolymer Using Thermal Method: Synthesis, Characterization, and Hydrogen Production (Topics in Catalysis, (2024), 10.1007/s11244-024-01998-6)
Darabi, Rozhin; Karimi-Maleh, Hassan; Altuner, Elif Esra; Gulbagca, Fulya; Tiri, Rima Nour Elhouda; Chinnathambi, Arunachalam; Brindhadevi, Kathirvel; Halvaci, Ebru; Sen, Fatih
The Acknowledgements section was missing from this article and should have read, “This project was supported by Researchers Supporting Project number (RSP2024R383) King Saud University, Riyadh, Saudi Arabia” In this article, the e-mail address of the co-author Arunachalam Chinnathambi was incorrectly given as “arun.chin78@gmail.com” but should have been “carunachalam@ksu.edu.sa”.
AtıfOpenAlex1İncele - DüzeltmeAçık Erişim2025Scopus SJRQ2Retraction Note: Synthesis of Silver Nanoparticles by Biogenic Methods: Characterization and Development of a Sensor Sensible to Pharmaceutical Medicine Paracetamol (Topics in Catalysis, (2024), 67, 9-12, (585-593), 10.1007/s11244-023-01887-4)
Karimi, Fatemeh; Altuner, Elif Esra; Aygun, Aysenur; Bayat, Ramazan; Rajendran, Saravanan; Sen, Fatih
The Editors-in-Chief have retracted this article because of concerns regarding the validity of the research reported in this work. A review conducted by the journal found that the reported average crystalline size for silver nanoparticles (NPs) as determined by an analysis of the XRD intensity peaks (Fig. 3) is not consistent with the average size determined by TEM imaging (Fig. 4a), and that the former analysis was not adequately reported in the article. Furthermore, there is lack of agreement between the TEM result shown in Fig. 4 and the size distribution of NPs presented in the inset. The authors were asked to comment on these concerns, but their explanation was deemed unsatisfactory. The Editors-in-Chief no longer have confidence in the research presented in this article. The authors disagree with this retraction.
- DüzeltmeAçık Erişim2025Scopus SJRQ2Retraction note: Cobalt Nanoparticles Supported Active Carbon from Chitosan Biopolymer Using Thermal Method: Synthesis, Characterization, and Hydrogen Production (Topics in Catalysis, (2025), 68, 5-8, (540-549), 10.1007/s11244-024-01998-6)
Darabi, Rozhin; Karimi‑Maleh, Hassan; Altuner, Elif Esra; Gulbagca, Fulya; Tiri, Rima Nour Elhouda; Chinnathambi, Arunachalam; Brindhadevi, Kathirvel; Halvaci, Ebru; Sen, Fatih
Editors-in-Chief have retracted this article due to a compromised initial peer review process. A subsequent post-publication review revealed the following concerns: Misuse of the Eyring equation and incorrect interpretation of UV-vis spectroscopy data; A 50% discrepancy between the particle size determined by XRD and TEM that is not addressed in the paper; Multiple issues with Table 1, e.g., the values in the table do not seem to pertain to the same reaction, making comparison confusing; the table also equates “performance” with “activation energy.” Dubious reliability of certain citations. The Editors-in-Chief have therefore lost confidence in the results reported by this article. Fatih Sen, Hassan Karimi-Maleh, Rima Nour Elhouda Tiri, Fulya Gulbagca and Elif Esra Altuner disagree with this retraction. None of the remaining authors have responded to the correspondence from the Publisher about this retraction.
AtıfOpenAlex1İncele - Kitap BölümüYalnız künye2025Role and scope of porphyrin composites in biotechnology
Altuner, Elif Esra; Issa, Ghassan; Sen, Fatih; Dar, Umar Ali
In this chapter, the roles of porphyrins and their derivatives in daily life, their application areas, and their importance in medical imaging for target regions and cell detection are discussed. Porphyrins are structures that can adapt to biotechnological studies due to their structures. Therefore, it is of great importance in biotechnology, especially in medical imaging. Detection of the defective region in magnetic resonance imaging, determination of the target by moving the porphyrins using rays in the photoacoustic region, or the emergence of a colored label with the fluorescence technique are the most important advantages of porphyrins. Therefore, the importance of porphyrins in today's technology, especially in medical imaging, will support future technological studies.
- 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 - Kitap BölümüYalnız künye2024Analytical techniques for the characterization of quinone-based materials
Altuner, Elif Esra; Sen, Fatih; Dar, Umar Ali
Quinone is a compound that has a ring structure and contains oxygen in its body and is found in living things and plants. Being antibacterial and antifungal is an important advantage for living things, but it becomes a threat that causes deadly diseases for living things, due to the cyclic structure and oxygen molecule reacting with UV rays and various chemicals. For this reason, the detection of quinone and quinone-based materials is very important. The determination of quinone and quinone materials is provided by utilizing various characterization techniques such as electrochemical studies, UV-Vis studies, HPLC, and FTIR. This chapter presents a broad theoretical perspective to the literature by citing the relevant parts of quinone and quinone-based studies.
- MakaleYalnız künye2024Scopus SJRQ2Synthesis of Bimetallic Nickel-Cobalt Nanoparticles Supported by Functional Multi-Walled Carbon Nanotubes by Chemical Methods: Characterization and Hydrogen Energy Generation
Zare, Najmeh; Karimi, Fatemeh; Altuner, Elif Esra; Mashkoor, Hussein; Tiri, Rima Nour Elhouda; Gulbagca, Fulya; Bijad, Majede; Cherif, Ali; Sen, Fatih
In this study, nickel-cobalt@functionalized multi-walled carbon nanoparticles (NiCo@f-MWCNT NPs) were synthesized, analysed, and used for hydrogen generation via methanolysis on NaBH4. For the NPs synthesis, two steps were conducted (i.e., i: MWCNT was functionalized in an acid medium to support NPs (f-MWCNT); ii: NiCo NPs were synthesized and supplemented with f-MWCNT). Various characterization techniques were used to examine the morphological structure of NiCo@f-MWCNT NPs. The transmission electron microscope (TEM) results showed that the NPs were sized as 3.941 ± 1.094 nm with a spherical structure. The X-ray diffraction analysis (XRD) results indicated an average crystalline size of 1.46 nm. The evaluation of the catalytic performance for hydrogen production revealed that the turnover frequency (TOF) was calculated to be 2934.4 min− 1 with activation energy (Ea) and enthalpy (∆H) of 39.29 kJ/mol and 36.74 kJ/mol, respectively, which indicates high viability for hydrogen transport and generation application and processes.
AtıfScopus13OpenAlex10İncele - MakaleYalnız künye2024Scopus SJRQ2Synthesis of Silver Nanoparticles by Biogenic Methods: Characterization and Development of a Sensor Sensible to Pharmaceutical Medicine Paracetamol
Karimi, Fatemeh; Altuner, Elif Esra; Aygun, Aysenur; Bayat, Ramazan; Rajendran, Saravanan; Sen, Fatih
In this study, silver nanoparticles (Ag NPs) were synthesized in biogenic methods. It is aimed to improve the electrochemical sensor efficiency of synthesized Ag NPs against the pharmaceutical drug paracetamol. For this purpose, fourier transmission infrared spectroscopy (FTIR), ultra-violet visible spectroscopy (Uv–vis), X-ray differentiation (XRD), and transmission electron spectroscopy (TEM) analyses were performed to elucidate the structure of the synthesized Ag NPs. In the TEM characterization results, the mean size of the NPs was found to be 19.035 nm using TEM characterization and the XRD results, the crystalline size of the NPs was 11.66 nm. Sensor studies were performed with cyclic voltammetry (CV) and differential pulse voltammetry (DPV) techniques. Paracetamol showed a sensitivity of approximately 0.4 V to Ag NPs in this study. The linear ranges of this study are 6.5–14.5 µM, with a limit of detection (LOD) of 5.79 µM and a limit of quantification (LOQ) of 17.56 µM.
AtıfScopus12WoS7OpenAlex11İncele - Kitap BölümüYalnız künye2024Commercialization of quinone-based drugs
Altuner, Elif Esra; Sen, Fatih; Dar, Umar Ali
In this chapter, the antibiotic drug effects of quinone and quinone derivatives are discussed in detail. Today, antibiotic drugs used against harmful pathogens work for a certain period, but these drugs become useless after a certain time or after a certain dose. This is because harmful microorganisms become resistant to these antibiotics after a certain threshold. For this reason, searches have been made that can replace antibiotics and are harmless. Quinone and quinone derivatives are one of these researches. Quinone and its derivatives show antibacterial, antiviral, and antifungal properties against various microorganisms. Quinones have the structure of cyclic diketones. Therefore, it is an advantage that it gives radicals easily as it resonates easily and thus has antioxidant properties in this reaction. The main quinone-based drugs used as antibiotic drugs are as follows: anthracyclines, mitomycin C, mitoxantrone, aziridinylbenzoquinones, streptonigrin, lapachols, and actinomycin D. Some of these drugs have anticancer and some have antitumor properties. This chapter can offer details on quinone and quinone derivatives-related commercial drug research.
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