Yazar "Baytemir, Guelsen" seçeneğine göre listele

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    Multifunctional maca extract coated CuO nanoparticles with antimicrobial and dopamine sensing activities: A dual electrochemical-Smartphone colorimetric detection system
    (Elsevier Science Sa, 2022) Ilgar, Merve; Baytemir, Guelsen; Taşaltın, Nevin; Guelluelue, Selim; Yesilyurt, Ibrahim Saffet; Karakuş, Selcan
    Current trends and future innovative issues focus on the development of smart multifunctional bionanostructures. In this study, novel maca extract-coated CuO nanoparticles (MaE-CuO NPs) were prepared using a green and facile sonication method. Multifunctional MaE-CuO NPs were characterized by different techniques, such as Scanning Electron Microscopy (SEM), Energy Dispersive X-ray Spectroscopy (EDX), High Resolution Transmission Electron Microscopy (HRTEM), Fourier Transform Infrared (FTIR) spectroscopy, X-ray diffraction (XRD), and Brunauer-Emmett-Teller (BET) techniques. According to the results, we proved that the sonosynthesized MaE-CuO NPs had a uniform spherical shape with an average diameter range of similar to 10 nm, while the surface area was 344.645 m(2)/g. The preservative performance of the antimicrobial MaE-CuO NPs was investigated to evaluate the biological activity of the nanostructure against Staphylococcus aureus (S. aureus), Pseudomonas aeruginosa (P. aeruginosa), Escherichia coli (E. coli), Candida albicans (C. albicans), and Aspergillus brasiliensis (A. brasiliensis). Furthermore, the MaE-CuO NPs-based non-enzymatic electrochemical and smart phone colorimetric biosensor detected dopamine in the concentration range from 0.625 to 5 mu M with a high sensitivity of 667 mu A mu M(-1)cm(-2) and a low limit of detection (LOD) value of 16.9 nM. Consequently, we proved that the obtained nanoformulations are promising antimicrobials agents and colorimetric/electrochemical dual mode biosensors.
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    PANI: silicene nanocomposites based non-enzymatic electrochemical voltammetric sensor for dopamine detection
    (Springer, 2023) Baytemir, Guelsen; Taşaltın, Nevin; Karaca, Bahriye; Karakuş, Selcan; Gursu, Gamze; Baris, Behzad; Yıldız, Dilber Esra
    Selective and sensitive detection of dopamine (DA) is imperative for the diagnosis and management of a wide range of neurological disorders, given its vital role as a critical neurotransmitter in the central nervous system. In this study, a series of non-enzymatic electrochemical voltammetric sensors based on polyaniline (PANI), PANI:Silicene, PANI:Coronene, and PANI:Rubrene nanocomposites (NCs) were developed for the detection of dopamine. The results showed that the PANI:Silicene NCs-based sensor exhibited a highly sensitive response towards DOP, with a sensitivity of 197.84 mu A mu M-1 cm(-2) and the lowest limit of detection (LOD) of 0.0385 mu M. The incorporation of silicene significantly enhanced the sensor's performance in terms of both sensitivity and LOD. These findings demonstrate the potential of PANI-Silicene NC-based sensors for highly sensitive and specific detection of DOP.
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    An ultra-sensitive smartphone-integrated digital colorimetric and electrochemical Camellia sinensis polyphenols encapsulated CuO nanoparticles-based ammonia biosensor
    (Elsevier, 2022) Karakuş, Selcan; Baytemir, Guelsen; Özeroğlu, Cemal; Taşaltın, Nevin
    With advancement trends in recent studies, it has drawn considerable attention towards the development of smartphone-integrated colorimetric biosensors with a high performance, stability, and selectivity for specific detection of analytes in food safety. Herein, camellia sinensis polyphenols encapsulated CuO nanoparticles (PPS-CuO NPs) based biosensors were developed as an ultra-sensitive smartphone-integrated digital colorimetric ammonia indicator for monitoring of food spoilage. The PPS-CuO NPs were characterized using different tech-niques such as SEM, HRTEM, FTIR, and XRD techniques. The colorimetric and electrochemical PPS-CuO NPs -based biosensor showed a high selectivity of ammonia with a high coefficient of correlation (R-2 = 0.960), a wide concentration range of 12.5-100 mu M, and a low limit of detection (LOD) of 40.6 nM. The developed smartphone-integrated colorimetric system exhibited high chemical selectivity for ammonia. Consequently, the sensing performance of PPS-CuO NPs based biosensors showed that it is a promising material for the determination of ammonia for food safety.