Altuner, Elif Esra; Torlak, Yasemin

Nanomaterial-based sensors are radically changing real-time monitoring technologies in biomedical applications. Offering higher sensitivity, selectivity, and fast response time compared to traditional sensors, these sensors have great potential for detecting various biomarkers and continuous health monitoring. Nanomaterials such as graphene, fullerenes, and metal oxide nanoparticles play an important role in disease diagnosis, monitoring of treatment processes, and personalized medicine applications by improving the performance of biosensors. These sensors, which are used primarily in detecting blood sugar, cancer markers, infection indicators, and biomolecules associated with neurodegenerative diseases, increase patient comfort by offering non-invasive and minimally invasive methods. Nanomaterial-based sensors, which can be integrated into wearable and portable devices, provide revolutionary innovations in the healthcare sector by expanding the possibilities of remote health monitoring and early diagnosis.

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Garg, Manoj Chandra; Kumari, Sheetal; Nguyen, Minh-Ky; Daudu, Basil Osayin; Thapa, Sanskriti; Gupta, Juhi; Kumar, Manish; Altuner, Elif Esra; Yadav, Akhilesh Kumar; Anaiye, Esther Besty

Green chemistry is defined as a set of principles that reduce or prevent the use or generation of hazardous substances during the design, production, and utilization of chemical products. The vision of such a paradigm shift in the chemical sciences is that the concept of being green is directly introduced to the molecular design process and is centered on atom economy and the prevention of waste. This review examines the principles of green chemistry in relation to agro-industrial waste valorization, with specific reference to the ecological and economic conditions of India, where approximately 350 million metric tons of annual agro-residues have become a source of serious environmental management issues, such as greenhouse gas emissions through open burning, leachate waste generation through landfills, and effects on the health of the population through poor disposal practices. The analysis summarizes the latest developments in nanotechnology-based catalytic systems, new solvent platforms (ionic liquids, deep eutectic solvents, and supercritical fluids), and integrated biorefineries, and critically reviews the scalability limitations and commercial feasibility. It also discusses more recent developments, such as systems based on nanotechnology, catalyst transformations (homogeneous, heterogeneous, and biocatalysts), and the creation of alternative solvents, such as ionic liquids, deep eutectic solvents, and supercritical fluids. The virtues of agri-industrial residues and biomass-based feeds are given particular attention in terms of their role in models of the circular economy and the generation of value-added chemicals, fuels, and materials. By illustrating how green chemistry can minimize the environmental footprint of traditional processes and create safer and more economically viable alternatives, this review makes it clear why green chemistry has become a revolution in the field of industrial practice. Lastly, the paper addresses contemporary issues of scalability, economic competitiveness, and regulatory integration and outlines opportunities that will make green chemistry the foundation of sustainable, resource-efficient, and environmentally responsible chemical companies.

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Ay, Hilal; Sahin, Ozlem; Karakurt, Serdar; Altuner, Elif Esra; Aldemir, Ozan; Acar, Esra; Sahin, Mustafa

This study details the synthesis, characterization of unsymmetrical Schiff base ligand and their metal complexes Ni(II), Zn(II), Pb(II), and Cu(II) for anticancer assessment. These ligands were prepared by condensation reaction between 1,2-phenylenediamine in combinations with 2,5-dihydroxybenzaldehyde, 1-pyrenecarboxaldehyde, and 3-hydroxybenzaldehyde, producing distinctive molecular structures. Comprehensive analysis of their structural and electronic properties were conducted using elemental analysis, UV–Vis, FT-IR. 1H NMR, 13C-NMR spectroscopy, supplemented by magnetic moment measurements and fluorescence studies. The biological efficacy of the Schiff base derivatives was tested against DLD1 colon cancer cells, with cellular imaging employed to observe their effects. Notably, cytotoxicity assays showed IC50 values of 38.4 µM for ligand L1′and 7.3 µM for ligand L2′, indicating strong activity against colorectal carcinoma (CRC) cells. Significantly, both compounds exhibited minimal toxicity toward healthy epithelial cells (IC50 > 200 µM), demonstrating their selective anticancer potential.

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Cetinkaya, Onur; Altuner, Elif Esra; Yaylali, Figen Varlioglu; Tatli, Havva Nur; Al-Humairi, Safaa Najah Saud

This study investigates the synthesis, characterization, and application of barium titanate nanoparticles (BaTiO₃ NPs) as a fluorimetric sensing platform. Nanocrystalline BaTiO₃ particles, exhibiting quasi-spherical morphology with average diameters evolving from approximately 7 to 9 nm depending on reaction time, were successfully prepared via a room-temperature chemical synthesis route. Comprehensive characterization using techniques such as XRD, SAED, TEM, FTIR, and UV–Vis spectroscopy confirmed the formation of a polycrystalline perovskite structure and elucidated the material's morphological and optical properties. The synthesized BaTiO₃ NPs displayed stable, intrinsic fluorescence, optimally emitting at 467.42 nm upon excitation at ∼402.33 nm in a neutral pH environment (pH 7). This fluorescence was observed to be effectively quenched by multiple analytes, including glucose and paracetamol, establishing a basis for the development of a sensor. Quantitative analysis revealed analyte-dependent quenching efficiencies, with Stern-Volmer studies indicating glucose as the most potent quencher among those kinetically analyzed. The system demonstrated sensitive detection capabilities, achieving low parts-per-million (ppm) limits of detection (LOD) for both glucose (∼1.19 ppm) and paracetamol (∼1.04 ppm). Notably, the linear dynamic response range varied significantly, extending up to ∼1.8 ppm for glucose but reaching at least 3.6 ppm for paracetamol. The demonstrated fluorescence stability, coupled with sensitive and analyte-dependent quenching responses, highlights the potential of these BaTiO₃ nanoparticles as a versatile and robust material for developing future fluorimetric sensors.

AtıfScopus1

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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.

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Bozbeyoglu, Pinar; Kostas, Rabia Yasa; Altuner, Elif Esra; Elmas, Muzaffer

Bio-nanocomposites, produced from renewable resources, stand out as one of the promising next-generation material classes for both biomedical and environmental applications due to their biocompatible and biodegradable structures.However, the vast and complex design space of these materials, which depends on numerous variables including the type of biopolymer matrix and the type and concentration of the nanostructured filler, makes their optimization quite challenging with traditional “trial-and-error” based research methods.This study provides a general overview of an artificial intelligence (AI)-based methodology that holds the potential to overcome this complexity.In this context, the limitations of the traditional “forward screening” approach are discussed, and the “inverse design” paradigm, based on the idea of “designing a material with desired properties,” is proposed as a solution.The study outlines the potential roles of various AI tools in this field, from supervised learning models to deep learning approaches and optimisation algorithms.This theoretical framework is substantiated by practical case studies that range from drug delivery to sustainable packaging.The case studies demonstrate how AI not only enables the prediction of properties but also facilitates strategically developing materials for a particular function, thereby accelerating the discovery process.Finally, current challenges, such as data scarcity and the interpretability of models, are addressed, and future visions to overcome these obstacles, including physics-informed AI, autonomous discovery platforms, and human-AI partnerships, are discussed.It is concluded that this synergy has the capacity to stimulate a new era of innovation in sustainable materials science.

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Shahin, Musarat; Mohsin, Abdul Haseeb; Bibi, Aiman; Ahmad, Ihtisham; Altuner, Elif Esra; Aldemir, Ozan; Durmusoglu, Senol; Yilancilar, Mehmet Sabit; Tanriverdi, Yavuz; Acar, Esra

Substantial advances have been made since the 1970s in reducing the environmental impacts of ammonia production. Renewable-driven electrochemical synthesis offers a promising pathway to decarbonize ammonia production. This review examines an integrated route in which hydrogen is generated photoelectrochemically under concentrated solar irradiation and subsequently used in electrochemical ammonia synthesis. Photoelectrochemical cells are fabricated by electrostatically depositing photosensitive particles onto cathodes to enhance light-driven hydrogen production. Hydrogen production rates and ammonia yield depend strongly on temperature and electrolyte composition. The synthesized hydrogen is fed into a molten salt electrochemical reactor that operates at atmospheric pressure and receives nitrogen from a dedicated supply. This combined solar–electrochemical approach can produce low-carbon ammonia with improved safety and reduced environmental impact, offering a scalable alternative to conventional processes.

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Mohsin, Abdul Haseeb; Torlak, Yasemin; Altuner, Elif Esra; Aldemir, Ozan; Khan, Rasool; Issa, Ghassan; Zafar, Salman; Bibi, Aiman; Khan, Misbah Rafiq; Khan, Huma

A series of newly synthesized β-lactam conjugates of thiadiazine-2-thiones (TDZ-2T) were prepared by reacting various primary amines with carbon disulfide and potassium hydroxide, followed by the addition of formaldehyde and β-lactam antibiotics, including cefaclor and cefadroxil, in phosphate buffer. The synthesized substances were evaluated for their in vitro antimicrobial activity against P. aeruginosa and E. coli. All the substances exhibited activity against each forms of bacterial types, with 1e, 1f, 1g, 2a, and 2b showing the most significant activity. Additionally, the anti-nociceptive impact of the prepared substances was analyzed by the hot plate technique. Substances 1a, 1b, 1d, 1f, 1g, and 2a demonstrated notable activity at dosages of 80 mg/kg, as evidenced by a significant enhancement during the lag phase. Intact binding studies of the synthesized substance were also performed and showed a good binding interaction with the binding site of the in silico cyclooxygenase-2 (COX) enzyme.

AtıfScopus1

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Kostas, Rabia Yasa; Bozbeyoglu, Pinar; Altuner, Elif Esra; Elmas, Muzaffer

The antimicrobial resistance (AMR) crisis is not merely a consequence of the emergence ofresistant pathogens. Furthermore, the remaining shortcomings oftraditional antibiotic production and development processes have become a profound health threat, exacerbated by their pharmaceutical and pharmacokinetic limitations. This book chapter redefines the AMR crisis as a problem of drug and treatment discovery as well as drug delivery to target tissues, and examines the technological angle emerging at the intersection of nanotechnology and artificial intelligence (AI) in response to this problem. This review begins by examining the problems inherent in traditional antibiotic architecture, such as systemic toxicity, low bioavailability, poor stability, and, most importantly, the inability to penetrate protected sites such as bacterial biofilms or intracellular bunkers. Copyright © 2026 by IGI Global Scientific Publishing. All rights reserved. No part of this publication may be reproduced, stored or distributed in any form or by any means, electronic or mechanical, including photocopying, without written permission from the publisher. Use of this publication to train generative artificial intelligence (AI) technologies is expressly prohibited. The publisher reserves all rights to license its use for generative AI training and machine learning model development.

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Dar, Umar Ali; Altuner, Elif Esra; Akocak, Suleyman; Issa, Ghassan; Ozalp, Veli Cengiz

Increasing utilization of sulfonamide derivatives as antibacterial agents has created serious challenges in terms of environmental pollution and antimicrobial resistance. In this respect, there is a compelling need for a highly sensitive and selective analytical tool for detecting such antibiotics in trace concentrations. This work represents a green strategy for developing an electrochemical biosensor for the determination of 4-aminobenzenesulfonamide based on bio-functionalized silver nanoparticles (Ag NPs) prepared from peel extract of Citrus reticulata fruit. The phytochemicals present in the peel extracts played a dual role of reduction and stabilization during the synthesis of Ag NPs. Synthesized NPs were well characterized through scanning electron microscopy (SEM), X-ray diffraction (XRD), Ultraviolet spectroscopy (UV–Vis), and Fourier infrared spectroscopy (FTIR) techniques. The Ag NPs showed considerable improvement in electrocatalysis in comparison to the bare glassy carbon electrode. The fabricated sensor gave an excellent linear calibration curve with a high value of R2 (=0.999), along with a low limit of detection (LOD = 0.65 µM) and limit of quantification (LOQ = 2.1 µM).

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